2,747 Sales Analytics jobs in the United States

Sales Analytics Data Engineer
Apply ( Location:Offsite, San Jose, California, US
+ Area of InterestEngineer - Software
+ Compensation Range USD- USD
+ Job TypeProfessional
+ Technology InterestBig Data, Analytics
+ Job Id
The application window is expected to close on: October 10, 2025
Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
**Meet the Team**
We are the Sales Strategy, Planning and Operations team, leading the transformation of sales planning activities at Cisco. Our mission is to turn complex, multi-source data into actionable insights that empower sales, accelerate growth, and drive strategic decision-making at all levels. Our team-comprised of analytics data engineers, data scientists and data analysts -collaborates to deliver trusted data insights, impactful dashboards, and advanced data science models.
**Your Impact**
Key Responsibilities
+ Strategic Data Foundation: Design, build, and optimize scalable data pipelines and architectures (maximising HANA, Snowflake and external data sources) to enable reliable, timely, and well-structured data for analytics, dashboards, and modeling.
+ Insight Acceleration: Partner closely with analytics managers, data analysts, and data scientists to deliver insights that directly advise executive sales, planning, and go-to-market strategies.
+ Business Partnership: Collaborate with business and strategy partners to understand evolving requirements and translate them into technical data solutions that support growth initiatives-such as segmentation, customer insights, and new go-to-market approaches.
+ Efficiency and Automation: Identify and automate manual or repetitive data processes, scaling analytics capabilities and freeing up analysts for more strategic work.
+ Data Quality and Reliability: Ensure the integrity, consistency, and accuracy of data pipelines and data models, supporting business-critical Tableau dashboards, Excel workbooks, and data science models.
+ Innovation and Best Practices: Prototype and implement new data solutions, championing data engineering standards and experimenting with emerging tools and techniques (e.g., AI, Python, cloud data migration).
+ Generative AI Integration: Partner with data scientists and AI teams to prototype, integrate, and operationalize generative AI solutions (such as large language models, text summarization, or automated insight generation) into analytics workflows and business processes.
+ Multi-functional Enablement: Build relationships across Cisco's data stewards, architects, and business teams to discover new data sources, drive data integration, and contribute to company-wide data initiatives.
+ Mentorship and Collaboration: Share knowledge, mentor peers, and help foster a culture of continuous learning and improvement across the analytics engineering function.
**Minimum Qualifications**
+ 5+ years of experience as a Data Engineer, Analytics Engineer, or similar role, with a degree in Computer Science, Engineering, Information Systems, or a related quantitative field
+ Proven success in designing and maintaining scalable data architectures supporting sales, marketing, or business analytics
+ Strong expertise in SQL or Python and experience with major relational database technologies (SAP HANA, Snowflake, etc.)
**Preferred Qualifications**
+ Experience supporting high-impact projects such as segmentation, unified customer definitions, or go-to-market strategy development
+ Cloud data migration and AI/ML solution prototyping experience
+ Practical knowledge of prompt engineering, fine-tuning, or deploying generative AI models in production
+ Ability to communicate technical concepts to business collaborators and influence data-driven decisions
+ Experience working with generative AI models and tools (e.g., OpenAI, Azure AI, Google Vertex AI, or similar) for data enrichment, insight generation, or workflow automation
+ Experience collaborating with AI or data science teams to design, implement, and integrate generative AI solutions into business analytics environments
**Why Cisco?**
At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Simply put - we power the future.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
**Message to applicants applying to work in the U.S. and/or Canada:**
When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.
U.S. employees haveaccess ( to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings.
Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday (for non-exempt employees), plus a day off for their birthday. Non-Exempt new hires accrue up to 16 days of vacation time off each year, at a rate of 4.92 hours per pay period. Exempt new hires participate in Cisco's flexible Vacation Time Off policy, which does not place a defined limit on how much vacation time eligible employees may use, but is subject to availability and some business limitations. All new hires are eligible for Sick Time Off subject to Cisco's Sick Time Off Policy and will have eighty (80) hours of sick time off provided on their hire date and on January 1st of each year thereafter. Up to 80 hours of unused sick time will be carried forward from one calendar year to the next such that the maximum number of sick time hours an employee may have available is 160 hours. Employees in Illinois have a unique time off program designed specifically with local requirements in mind. All employees also have access to paid time away to deal with critical or emergency issues. We offer additional paid time to volunteer and give back to the community.
Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco typically pays as follows:
.75% of incentive target for each 1% of revenue attainment up to 50% of quota;
1.5% of incentive target for each 1% of attainment between 50% and 75%;
1% of incentive target for each 1% of attainment between 75% and 100%; and once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.
For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

TITLE: Sales Analytics Sr. Manager

DEPARTMENT: Worldwide Commercial Operations > Sales Analytics

ADP is hiring a Sales Analytics Sr. Manager. In this position, you will be owning the Sales Analytics function for a Business Unit within Worldwide Commercial Operations. The Sales Analytics Group helps ADP to think differently by producing beautifully designed, easy to use, prescriptive insights aligned to the strategic needs of our business. We work closely with key business stakeholders to gather feedback, evaluate success, and proactively identify opportunities for ongoing improvement. Activities will range from running statistical analysis to providing recommendations to the business, designing and developing automated Tableau dashboards built upon ML models, and participating in the rollout and ongoing education of the resources we provide. You will partner with sales leadership, sales finance, sales planning, and other functional areas within ADP to improve seller and leader productivity.

RESPONSIBILITIES:

• Become an expert in your business unit, identifying opportunities for improvement via technology, process, or strategy, and providing thoughtful well-researched recommendations that answer key business questions

• Work alongside an Advanced Analytics team to translate business questions into predictive and prescriptive insights that will empower the sales organization and improve sales forecasting accuracy

• Design, develop, and deploy SQL based Tableau dashboards to share with sales leadership what happened, what may happen in the future, and what can be done to change that outcome

• Regularly attend sales performance reviews and sales strategy meetings as the analytics expert, providing concise data-driven guidance and gathering feedback for the automated analytics suite

• Manage prioritization of projects with BU leadership

SKILLS REQUIRED:

• Strong quantitative and analytical skills - SQL with data visualization experience

• Excellent communication and facilitation skills, with the ability to build relationships with cross-functional stakeholders and present complex data concepts to large groups

• A self-starter and owner mentality - you can lead "first time" assignments with no playbook from initial question development to rollout

• Advanced problem-solving skills: identify and diagnose a problem, set up hypotheses, test hypotheses through analyses & discovery, and interpret, summarize, and present findings to drive improvements in business results

• Able to operate successfully in a lean, fast-paced organization; a proactive, and action-oriented team player

QUALIFICATIONS REQUIRED:

• A college degree is nice to have but not required. What's more important is having the skills to do the job. Other forms of acceptable experience include:

• 7+ years' experience in sales operations, business intelligence, sales analytics, or financial analysis in a corporate environment

• 3+ years of relational database (SQL) experience

• 3+ years' experience using Tableau, Power BI, Looker or similar software to implement data visualization best practices

• Experience working with data science teams and ML concepts

PREFERRED QUALIFICATIONS: Preference will be given to candidates who have the following:

• Ability to utilize statistical software, such as R or Python

• Tableau Desktop Specialist or Tableau Desktop Certified Associate

• Familiarity with sales CRM data (SFDC)

#LI-JC1

#LI-Hybrid

Base salary offers for this position may vary based on factors such as location, skills, and relevant experience. Some positions may include additional compensation in the form of bonus, equity or commissions. We offer the following benefits: Medical, Dental, Vision, Life Insurance, Matched Retirement Savings, Wellness Program, Short-and Long-Term Disability, Charitable Contribution Match, Holidays, Personal Days & Vacation, Paid Volunteer Time Off, and more. The compensation for this role is USD $85,200.00 - USD $173,100.00 / Year*

*Actual compensation will not be less than the applicable minimum wage or minimum exempt salary requirement under federal, state and local laws.

A little about ADP: We are a comprehensive global provider of cloud-based human capital management (HCM) solutions that unite HR, payroll, talent, time, tax and benefits administration and a leader in business outsourcing services, analytics, and compliance expertise. We believe our people make all the difference in cultivating a down-to-earth culture that embraces our core values, welcomes ideas, encourages innovation, and values belonging. We've received recognition for our work by many esteemed organizations, learn more at ADP Awards and Recognition ( .

Diversity, Equity, Inclusion & Equal Employment Opportunity at ADP: ADP is committed to an inclusive, diverse and equitable workplace, and is further committed to providing equal employment opportunities regardless of any protected characteristic including: race, color, genetic information, creed, national origin, religion, sex, affectional or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, protected veteran status or disability. Hiring decisions are based upon ADP's operating needs, and applicant merit including, but not limited to, qualifications, experience, ability, availability, cooperation, and job performance.

Ethics at ADP: ADP has a long, proud history of conducting business with the highest ethical standards and full compliance with all applicable laws. We also expect our people to uphold our values with the highest level of integrity and behave in a manner that fosters an honest and respectful workplace. Click to learn more about ADP's culture and our full set of values.

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed.
Join us to transform the way the world works.
_At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role can be based in either our New York, Chicago, San Francisco, Sunnyvale, or Omaha offices._
The ideal candidate will have strong SQL skills to be able to develop, maintain, and improve current data assets. The candidate will use strong analytical skills and be adept at deriving, distilling and articulating actionable business insights from large amounts of data. The **Senior Associate, Sales Analytics** will effectively collaborate and communicate with a variety of people and job functions, accomplishing tasks of high complexity and scope, and have the ability to perform professionally in a challenging and extremely fast-paced environment.
They will contribute to building and maintaining the data environment, and building and enabling solutions for Sales Operations. This role is ideal for those passionate about creating and enhancing robust data systems supporting LinkedIn's global operational analytics, with a focus on skills including SQL, Spark, and advanced analytics techniques. The work in this role will involve complex analytics initiatives across LinkedIn Talent Solutions and LinkedIn Sales Solutions, ensuring a stable and scalable foundation for every data-driven endeavor. The role emphasizes close collaboration with business leaders, Engineering, Sales and Operations teams to ensure project success and efficient, effective delivery of data insights at the right moments.
**Responsibilities** :
+ Leverage LinkedIn's unique data to create innovative analyses & dashboards, including developing/deploying predictive models (e.g., forecasting and classification)
+ Write SQL/Python queries to extract necessary data, analyze the results to generate actionable insights and present the findings
+ Collaborate closely with the sales, marketing, engineering and data teams to provide analysis, reporting and tools that inform key stakeholders.
+ Build cross-functional relationships and partner effectively with other teams to drive project success.
+ Make business recommendations, conveying findings at multiple levels including managers and peers through visual displays of quantitative information.
**Basic Qualifications **
+ Bachelor's degree in business, tech, engineering, or any related field or related practical experience
+ 4+ years of experience in data-driven roles within consulting, data science, engineering, data analytics, or similar field
+ 3+ years of experience using SQL, analyzing and presenting data
+ 2+ years of experience with either Python OR R
+ 2+ years of experience building pipelines with ETL tools
+ Experience building predictive models
**Preferred Qualifications **
+ Demonstrated record of intellectual curiosity, strong work ethic and drive for success
+ Ability to be self-motivated, proactive, and comfortable operating in a rapidly changing industry
+ Strong problem-solving and project management skills
+ Experience presenting data or other technical concepts to stakeholders; ability to clearly communicate work to varying audiences
+ Experience with Sales Operations processes and CRM systems (e.g., SFDC and Dynamics)
+ Understanding of data engineering principles
**Suggested Skills**
+ SQL
+ Python
+ ETL
+ Predictive modelling
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $112,000 to $185,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications, and specific office location. This may differ in other locations due to cost of labor considerations.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: .
**Equal Opportunity Statement**
We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
+ Documents in alternate formats or read aloud to you
+ Having interviews in an accessible location
+ Being accompanied by a service dog
+ Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
**San Francisco Fair Chance Ordinance **
Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.
**Pay Transparency Policy Statement **
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: Data Privacy Notice for Job Candidates **
Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants:

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed.
Join us to transform the way the world works.
_At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role can be based in either our New York, Chicago, San Francisco, Sunnyvale, or Omaha offices._
The ideal candidate will have strong SQL skills to be able to develop, maintain, and improve current data assets. The candidate will use strong analytical skills and be adept at deriving, distilling and articulating actionable business insights from large amounts of data. The **Senior Associate, Sales Analytics** will effectively collaborate and communicate with a variety of people and job functions, accomplishing tasks of high complexity and scope, and have the ability to perform professionally in a challenging and extremely fast-paced environment.
They will contribute to building and maintaining the data environment, and building and enabling solutions for Sales Operations. This role is ideal for those passionate about creating and enhancing robust data systems supporting LinkedIn's global operational analytics, with a focus on skills including SQL, Spark, and advanced analytics techniques. The work in this role will involve complex analytics initiatives across LinkedIn Talent Solutions and LinkedIn Sales Solutions, ensuring a stable and scalable foundation for every data-driven endeavor. The role emphasizes close collaboration with business leaders, Engineering, Sales and Operations teams to ensure project success and efficient, effective delivery of data insights at the right moments.
**Responsibilities** :
+ Leverage LinkedIn's unique data to create innovative analyses & dashboards, including developing/deploying predictive models (e.g., forecasting and classification)
+ Write SQL/Python queries to extract necessary data, analyze the results to generate actionable insights and present the findings
+ Collaborate closely with the sales, marketing, engineering and data teams to provide analysis, reporting and tools that inform key stakeholders.
+ Build cross-functional relationships and partner effectively with other teams to drive project success.
+ Make business recommendations, conveying findings at multiple levels including managers and peers through visual displays of quantitative information.
**Basic Qualifications **
+ Bachelor's degree in business, tech, engineering, or any related field or related practical experience
+ 4+ years of experience in data-driven roles within consulting, data science, engineering, data analytics, or similar field
+ 3+ years of experience using SQL, analyzing and presenting data
+ 2+ years of experience with either Python OR R
+ 2+ years of experience building pipelines with ETL tools
+ Experience building predictive models
**Preferred Qualifications **
+ Demonstrated record of intellectual curiosity, strong work ethic and drive for success
+ Ability to be self-motivated, proactive, and comfortable operating in a rapidly changing industry
+ Strong problem-solving and project management skills
+ Experience presenting data or other technical concepts to stakeholders; ability to clearly communicate work to varying audiences
+ Experience with Sales Operations processes and CRM systems (e.g., SFDC and Dynamics)
+ Understanding of data engineering principles
**Suggested Skills**
+ SQL
+ Python
+ ETL
+ Predictive modelling
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $112,000 to $185,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications, and specific office location. This may differ in other locations due to cost of labor considerations.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: .
**Equal Opportunity Statement**
We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
+ Documents in alternate formats or read aloud to you
+ Having interviews in an accessible location
+ Being accompanied by a service dog
+ Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
**San Francisco Fair Chance Ordinance **
Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.
**Pay Transparency Policy Statement **
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: Data Privacy Notice for Job Candidates **
Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants:

**TITLE:** Sales Analytics Sr. Manager
**DEPARTMENT:** Worldwide Commercial Operations > Sales Analytics
**ADP is hiring a Sales Analytics Sr. Manager.** In this position, you will be owning the Sales Analytics function for a Business Unit within Worldwide Commercial Operations. The Sales Analytics Group helps ADP to think differently by producing beautifully designed, easy to use, prescriptive insights aligned to the strategic needs of our business. We work closely with key business stakeholders to gather feedback, evaluate success, and proactively identify opportunities for ongoing improvement. Activities will range from running statistical analysis to providing recommendations to the business, designing and developing automated Tableau dashboards built upon ML models, and participating in the rollout and ongoing education of the resources we provide. You will partner with sales leadership, sales finance, sales planning, and other functional areas within ADP to improve seller and leader productivity.
**RESPONSIBILITIES:**
+ Become an expert in your business unit, identifying opportunities for improvement via technology, process, or strategy, and providing thoughtful well-researched recommendations that answer key business questions
+ Work alongside an Advanced Analytics team to translate business questions into predictive and prescriptive insights that will empower the sales organization and improve sales forecasting accuracy
+ Design, develop, and deploy SQL based Tableau dashboards to share with sales leadership what happened, what may happen in the future, and what can be done to change that outcome
+ Regularly attend sales performance reviews and sales strategy meetings as the analytics expert, providing concise data-driven guidance and gathering feedback for the automated analytics suite
+ Manage prioritization of projects with BU leadership
**SKILLS REQUIRED:**
+ Strong quantitative and analytical skills - SQL with data visualization experience
+ Excellent communication and facilitation skills, with the ability to build relationships with cross-functional stakeholders and present complex data concepts to large groups
+ A self-starter and owner mentality - you can lead "first time" assignments with no playbook from initial question development to rollout
+ Advanced problem-solving skills: identify and diagnose a problem, set up hypotheses, test hypotheses through analyses & discovery, and interpret, summarize, and present findings to drive improvements in business results
+ Able to operate successfully in a lean, fast-paced organization; a proactive, and action-oriented team player
**QUALIFICATIONS REQUIRED:**
+ A college degree is nice to have but not required. What's more important is having the skills to do the job. Other forms of acceptable experience include:
+ 7+ years' experience in sales operations, business intelligence, sales analytics, or financial analysis in a corporate environment
+ 3+ years of relational database (SQL) experience
+ 3+ years' experience using Tableau, Power BI, Looker or similar software to implement data visualization best practices
+ Experience working with data science teams and ML concepts
**PREFERRED QUALIFICATIONS:** Preference will be given to candidates who have the following:
+ Ability to utilize statistical software, such as R or Python
+ Tableau Desktop Specialist or Tableau Desktop Certified Associate
+ Familiarity with sales CRM data (SFDC)
#LI-JC1
#LI-Hybrid
Base salary offers for this position may vary based on factors such as location, skills, and relevant experience. Some positions may include additional compensation in the form of bonus, equity or commissions. We offer the following benefits: Medical, Dental, Vision, Life Insurance, Matched Retirement Savings, Wellness Program, Short-and Long-Term Disability, Charitable Contribution Match, Holidays, Personal Days & Vacation, Paid Volunteer Time Off, and more. The compensation for this role is USD $85,200.00 - USD $173,100.00 / Year*
*Actual compensation will not be less than the applicable minimum wage or minimum exempt salary requirement under federal, state and local laws.
**A little about ADP:** We are a comprehensive global provider of cloud-based human capital management (HCM) solutions that unite HR, payroll, talent, time, tax and benefits administration and a leader in business outsourcing services, analytics, and compliance expertise. We believe our people make all the difference in cultivating a down-to-earth culture that embraces our core values, welcomes ideas, encourages innovation, and values belonging. We've received recognition for our work by many esteemed organizations, learn more at ADP Awards and Recognition ( .
**Diversity, Equity, Inclusion & Equal Employment Opportunity at ADP:** ADP is committed to an inclusive, diverse and equitable workplace, and is further committed to providing equal employment opportunities regardless of any protected characteristic including: race, color, genetic information, creed, national origin, religion, sex, affectional or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, protected veteran status or disability. Hiring decisions are based upon ADP's operating needs, and applicant merit including, but not limited to, qualifications, experience, ability, availability, cooperation, and job performance.
**Ethics at ADP:** ADP has a long, proud history of conducting business with the highest ethical standards and full compliance with all applicable laws. We also expect our people to uphold our values with the highest level of integrity and behave in a manner that fosters an honest and respectful workplace. Click to learn more about ADP's culture and our full set of values.

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed.
Join us to transform the way the world works.
_At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role can be based in either our New York, Chicago, San Francisco, Sunnyvale, or Omaha offices._
The ideal candidate will have strong SQL skills to be able to develop, maintain, and improve current data assets. The candidate will use strong analytical skills and be adept at deriving, distilling and articulating actionable business insights from large amounts of data. The **Senior Associate, Sales Analytics** will effectively collaborate and communicate with a variety of people and job functions, accomplishing tasks of high complexity and scope, and have the ability to perform professionally in a challenging and extremely fast-paced environment.
They will contribute to building and maintaining the data environment, and building and enabling solutions for Sales Operations. This role is ideal for those passionate about creating and enhancing robust data systems supporting LinkedIn's global operational analytics, with a focus on skills including SQL, Spark, and advanced analytics techniques. The work in this role will involve complex analytics initiatives across LinkedIn Talent Solutions and LinkedIn Sales Solutions, ensuring a stable and scalable foundation for every data-driven endeavor. The role emphasizes close collaboration with business leaders, Engineering, Sales and Operations teams to ensure project success and efficient, effective delivery of data insights at the right moments.
**Responsibilities** :
+ Leverage LinkedIn's unique data to create innovative analyses & dashboards, including developing/deploying predictive models (e.g., forecasting and classification)
+ Write SQL/Python queries to extract necessary data, analyze the results to generate actionable insights and present the findings
+ Collaborate closely with the sales, marketing, engineering and data teams to provide analysis, reporting and tools that inform key stakeholders.
+ Build cross-functional relationships and partner effectively with other teams to drive project success.
+ Make business recommendations, conveying findings at multiple levels including managers and peers through visual displays of quantitative information.
**Basic Qualifications **
+ Bachelor's degree in business, tech, engineering, or any related field or related practical experience
+ 4+ years of experience in data-driven roles within consulting, data science, engineering, data analytics, or similar field
+ 3+ years of experience using SQL, analyzing and presenting data
+ 2+ years of experience with either Python OR R
+ 2+ years of experience building pipelines with ETL tools
+ Experience building predictive models
**Preferred Qualifications **
+ Demonstrated record of intellectual curiosity, strong work ethic and drive for success
+ Ability to be self-motivated, proactive, and comfortable operating in a rapidly changing industry
+ Strong problem-solving and project management skills
+ Experience presenting data or other technical concepts to stakeholders; ability to clearly communicate work to varying audiences
+ Experience with Sales Operations processes and CRM systems (e.g., SFDC and Dynamics)
+ Understanding of data engineering principles
**Suggested Skills**
+ SQL
+ Python
+ ETL
+ Predictive modelling
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $112,000 to $185,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications, and specific office location. This may differ in other locations due to cost of labor considerations.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: .
**Equal Opportunity Statement**
We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
+ Documents in alternate formats or read aloud to you
+ Having interviews in an accessible location
+ Being accompanied by a service dog
+ Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
**San Francisco Fair Chance Ordinance **
Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.
**Pay Transparency Policy Statement **
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: Data Privacy Notice for Job Candidates **
Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants:

**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Global Sales Analytics Lead Responsibilities:
1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
3. Identify and measure success of the ads business through goal setting, forecasting, and monitoring of key metrics to understand trends.
4. Conduct analysis using internal and external data (e.g.
5. customer, user, revenue, product, market, industry) to derive insights that will drive business decisions.
6. Develop deep understanding of the Meta ads business, analyzing business and product trends (including regional, channel and vertical performance), recognizing opportunities, and presenting recommendations to stakeholders.
7. Conduct deep dives through complex data analysis to extract meaningful insights for the sales and product leadership teams.
8. Work effectively with Sales Operations, Finance, Engineering and other cross functional teams globally, driving results in the form of data insights and building strategic partnerships.
9. Conceptualize, build, manage and maintain centralized tools (including dashboards) that the business and Analytics teams can use to extract data /insights for daily business management in an automated manner.
**Minimum Qualifications:**
Minimum Qualifications:
10. Master's degree (or foreign equivalent) in Mathematics, Business Analytics, Statistics, Business Administration or related field and 5 years of experience in the job offered or in a computer-related occupation
11. Experience must include 5 years in the following:
12. 1. Data Analytics experience, presenting technical content to non-technical audiences and leadership
13. 2. Advanced SQL experience working with large datasets
14. 3. Experience conducting descriptive and inferential statistical analysis using scripting languages such as Python or statistical software such as R
15. 4. Experience utilizing both qualitative analysis (e.g. content analysis, hypothesis testing) and quantitative analysis techniques (e.g. regression analysis and cluster analysis)
16. 5. Experience in supervised and Unsupervised machine learning techniques (predictive modeling, forecasting, clustering)
17. 6. Building self-serve dashboards used by technical and non-technical audiences at scale
**Public Compensation:**
$195,059/year to $205,700/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

**We love your attention to detail!**
We are looking for a strategic and driven Finance Manager to join our team!
**Why TricorBraun**
TricorBraun is a global packaging leader, with team members working in locations throughout the Americas, Europe, Asia, Australia and New Zealand. As North America's largest distributor of primary packaging, we provide pioneering solutions to customers from a wide variety of industries. Our customers range from innovative start-ups to the world's most iconic brands. We put people first and live by that every day. Join us and our friendly, motivated and supportive team will welcome you. Many of the products we distribute are already sitting in your home.
**Your role**
The Finance Manager will define scope, develop, deploy, and track critical initiatives that support functional business goals. This role partners closely with Finance, functional leaders, Sales, and IT to deliver business-critical support through robust analysis, tool development, and process improvement in a complex environment.
**Your background and experience**
+ Own and lead financial and operational analyses to identify trends, risks, and opportunities in sales operations that drive business performance and critical initiatives.
+ Partner with sales operations leaders to define key metrics, provide insights, and influence decision-making.
+ Drive and manage analytics projects that support budgeting, forecasting, and performance improvement across the sales function.
+ Develop, enhance, and maintain dashboards, models, and reporting tools that increase visibility, track performance, and ensure accountability.
+ Collaborate with IT and data teams to ensure the accuracy, consistency, and usability of data sources and analytics tools.
+ Support continuous improvement by identifying opportunities to streamline processes, improve data workflows, and enhance reporting capabilities.
+ Perform a robust analysis of sales operations cost savings opportunities and development of corresponding initiatives
**What you can expect from us**
Because we're a well-known and respected leader in packaging, we have many opportunities here. We'll get you started with an exceptional training program providing classroom, online and hands on work with colleagues. There's always someone to answer any questions and ensure you're getting the right information you need to excel. And the compensation and benefits are what you can expect from a people first company.
+ Our salaries are competitive
+ Comprehensive benefits in medical, dental, and vision insurance
+ Retirement Plan with Employer Match
+ Paid time off plus holidays
+ Tuition reimbursement, and much more
We are proudly an equal opportunity employer and will consider all applications.
#LI-Hybrid
TricorBraun is a global packaging leader, with team members working from locations throughout the Americas, Europe, Asia, Australia and New Zealand. As North America's largest distributor of primary packaging, we provide innovative solutions to customers from a wide variety of industries. Our customers range from cutting-edge start-ups to the world's most iconic brands. We put people first and live by that every day. Join us and you will be welcomed by our friendly, motivated and supportive team. Many of the products we distribute are already sitting in your home.
We are proudly an equal opportunity employer and will consider all applications. To request an accommodation, please email your request to .

**TITLE:** Sales Analytics Sr. Manager
**DEPARTMENT:** Worldwide Commercial Operations > Sales Analytics
**ADP is hiring a Sales Analytics Sr. Manager.** In this position, you will be owning the Sales Analytics function for a Business Unit within Worldwide Commercial Operations. The Sales Analytics Group helps ADP to think differently by producing beautifully designed, easy to use, prescriptive insights aligned to the strategic needs of our business. We work closely with key business stakeholders to gather feedback, evaluate success, and proactively identify opportunities for ongoing improvement. Activities will range from running statistical analysis to providing recommendations to the business, designing and developing automated Tableau dashboards built upon ML models, and participating in the rollout and ongoing education of the resources we provide. You will partner with sales leadership, sales finance, sales planning, and other functional areas within ADP to improve seller and leader productivity.
**RESPONSIBILITIES:**
+ Become an expert in your business unit, identifying opportunities for improvement via technology, process, or strategy, and providing thoughtful well-researched recommendations that answer key business questions
+ Work alongside an Advanced Analytics team to translate business questions into predictive and prescriptive insights that will empower the sales organization and improve sales forecasting accuracy
+ Design, develop, and deploy SQL based Tableau dashboards to share with sales leadership what happened, what may happen in the future, and what can be done to change that outcome
+ Regularly attend sales performance reviews and sales strategy meetings as the analytics expert, providing concise data-driven guidance and gathering feedback for the automated analytics suite
+ Manage prioritization of projects with BU leadership
**SKILLS REQUIRED:**
+ Strong quantitative and analytical skills - SQL with data visualization experience
+ Excellent communication and facilitation skills, with the ability to build relationships with cross-functional stakeholders and present complex data concepts to large groups
+ A self-starter and owner mentality - you can lead "first time" assignments with no playbook from initial question development to rollout
+ Advanced problem-solving skills: identify and diagnose a problem, set up hypotheses, test hypotheses through analyses & discovery, and interpret, summarize, and present findings to drive improvements in business results
+ Able to operate successfully in a lean, fast-paced organization; a proactive, and action-oriented team player
**QUALIFICATIONS REQUIRED:**
+ A college degree is nice to have but not required. What's more important is having the skills to do the job. Other forms of acceptable experience include:
+ 7+ years' experience in sales operations, business intelligence, sales analytics, or financial analysis in a corporate environment
+ 3+ years of relational database (SQL) experience
+ 3+ years' experience using Tableau, Power BI, Looker or similar software to implement data visualization best practices
+ Experience working with data science teams and ML concepts
**PREFERRED QUALIFICATIONS:** Preference will be given to candidates who have the following:
+ Ability to utilize statistical software, such as R or Python
+ Tableau Desktop Specialist or Tableau Desktop Certified Associate
+ Familiarity with sales CRM data (SFDC)
#LI-JC1
#LI-Hybrid
Base salary offers for this position may vary based on factors such as location, skills, and relevant experience. Some positions may include additional compensation in the form of bonus, equity or commissions. We offer the following benefits: Medical, Dental, Vision, Life Insurance, Matched Retirement Savings, Wellness Program, Short-and Long-Term Disability, Charitable Contribution Match, Holidays, Personal Days & Vacation, Paid Volunteer Time Off, and more. The compensation for this role is USD $85,200.00 - USD $173,100.00 / Year*
*Actual compensation will not be less than the applicable minimum wage or minimum exempt salary requirement under federal, state and local laws.
**A little about ADP:** We are a comprehensive global provider of cloud-based human capital management (HCM) solutions that unite HR, payroll, talent, time, tax and benefits administration and a leader in business outsourcing services, analytics, and compliance expertise. We believe our people make all the difference in cultivating a down-to-earth culture that embraces our core values, welcomes ideas, encourages innovation, and values belonging. We've received recognition for our work by many esteemed organizations, learn more at ADP Awards and Recognition ( .
**Diversity, Equity, Inclusion & Equal Employment Opportunity at ADP:** ADP is committed to an inclusive, diverse and equitable workplace, and is further committed to providing equal employment opportunities regardless of any protected characteristic including: race, color, genetic information, creed, national origin, religion, sex, affectional or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, protected veteran status or disability. Hiring decisions are based upon ADP's operating needs, and applicant merit including, but not limited to, qualifications, experience, ability, availability, cooperation, and job performance.
**Ethics at ADP:** ADP has a long, proud history of conducting business with the highest ethical standards and full compliance with all applicable laws. We also expect our people to uphold our values with the highest level of integrity and behave in a manner that fosters an honest and respectful workplace. Click to learn more about ADP's culture and our full set of values.