3,857 Data Operation jobs in the United States

Description
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
We are looking for Data Center Technicians to join our rapidly expanding team. The position will help ensure overall availability and reliability to meet or exceed defined service levels of data center operations. This position involves in-depth hardware and network diagnostics followed by physical repair as well as participating in an on-call rotation.
Effective May 15, 2017, logical access to the AWS GovCloud region will be restricted to Amazon employees who are U.S. Citizens. (GovCloud may NOT be accessed from outside of the United States)
Key job responsibilities
These activities include the following:
* Lifting and moving material up to 40 pounds each
* Working in cramped and/or elevated locations
* Bending, lifting, stretching, and reaching
* Standing and walking for up to 8+ hours a day
* Ascending and descending ladders, stairs, and gangways safely and without limitation
* Work in an industrial environment
* Work shifts longer than 8 hours to support 24/7 operations (covering both night and day shifts).
A day in the life
Our Data Center Technician professionals, who have industry-leading technical abilities and demonstrate a breadth of knowledge while they:
* Take ownership of technical issues brought by their customer base, engaging other teams when needed to drive resolution
* Show a strong aptitude for troubleshooting and problem solving
* Solve problems at their root and step back to understand the broader context
* Maintain service level agreements through the implementation of proactive issue detection and reporting
* Are biased to act in the absence of direction or support
* Improve effectiveness through process innovation
You will be required to work shift work that will include days/nights/weekends/holidays.
About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
Basic Qualifications
- Associate's degree in IT-related field or equivalent professional or military experience
- 2+ years of experience with server hardware
- 1+ years of experience with UNIX/Linux operating systems
Preferred Qualifications
- A+ or CND (Certified Network Defender) or Network+ or Security- 2+ year of experience working in a Data Center environment
- Understanding of storage devices
- Experience managing work and priorities through a ticketing system
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $55,900/year in our lowest geographic market up to $125,100/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Data Analysis: Consolidate and analyze software asset data to identify rationalization opportunities and evaluate product portfolios for optimization. This individual would serve as a go-to for pulling data from all relevant sources into the tool/templates. ServiceNow, Discovery Tools, Lean/CE Way data, and financial information.

Goal/Metric Tracking:

• Assistance in maintaining metrics essential for accurate reporting to management on this initiative.
• Experience in data analysis and reporting
• Proficiency in all Microsoft office productivity products, including excel
• Basic understanding of application architecture and IT infrastructure
• General understanding of Software Asset Management concepts
• Excellent collaborative skills
• Ability work on multiple activities simultaneously
• Experience in working in a team environment with responsibilities that are time sensitive

Job Description:

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted.  No relocation is offered.

Join AT&T and reimagine the communications and technologies that connect the world. Our Consumer Technology experience team is delivering innovative and reliable technology solutions to power differentiated, simplified customer experiences. Bring your bold ideas and fearless risk-taking to redefine connectivity and transform how the world shares stories and experiences that matter. When you step into a career with AT&T, you won’t just imagine the future- you’ll create it.

We’re seeking a data-driven professional to support the engineering, analysis, and documentation of enterprise datasets using SQL and related tools. This role is ideal for someone eager to learn the business behind the data—understanding how segments, products, channels, volumes, and revenue shape our operations.

Key Responsibilities:

• SQL-Based Data Engineering:
  Design, write, and optimize SQL queries to extract, transform, and load data from various sources into structured repositories for analysis and reporting.
• Dataset Analysis & Business Understanding:
  Analyze large datasets to uncover trends and relationships tied to business segments, product performance, channel activity, and revenue impact. Develop a strong understanding of the data’s business context.
• Process Documentation & Data Mapping:
  Create and maintain clear documentation of data flows, transformation logic, and business rules. Develop data dictionaries and process guides to support transparency and repeatability.
• Data Quality & Discrepancy Resolution:
  Identify and resolve inconsistencies across systems. Collaborate with business and technical teams to ensure data integrity and alignment with business definitions.
• Cross-Functional Collaboration:
  Work closely with sales, marketing, and commercialization teams to understand data needs and deliver actionable insights that support strategic decisions.

Preferred Skills:

• Proficiency in SQL  for data extraction and transformation.
• Familiarity with data visualization tools  (e.g., Power BI, Tableau).
• Strong analytical mindset and attention to detail.
• Ability to document technical processes clearly and concisely.
• Curiosity to learn the business logic behind the data.

Qualifications:

• Bachelor’s degree in Computer Science, Data Science, Math, or a related field.
• 1–2 years of experience in data analysis or engineering roles preferred.

Note:  

• This position is based in Dallas, TX only  and requires full-time in-office presence .

Our Senior Data Analysis, earn between $118,800 - $78,200. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.

Joining our team comes with amazing perks and benefits:

• Medical/Dental/Vision coverage
• 401(k) plan
• Tuition reimbursement program
• Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
• Paid Parental Leave
• Paid Caregiver Leave
• Additional sick leave beyond what state and local law require may be available but is unprotected
• Adoption Reimbursement
• Disability Benefits (short term and long term)
• Life and Accidental Death Insurance
• Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
• Employee Assistance Programs (EAP)
• Extensive employee wellness programs
• Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone

A career with us, a global leader in communications and technology, comes with big rewards. As part of our team, you’ll lead transformation surrounded by trailblazing industry leaders like you. You’ll be empowered to go above and beyond – making a difference through company-sponsored initiatives or connecting and networking through one of our many employee groups.

And regardless of where you’re at in your career trajectory, you’ll be rewarded by the impact that comes with making a difference in the lives of millions.

With AT&T, you’ll be a part of something greater, do incredible things and be rewarded with a chance to change the world.

AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, State, and local laws.

Ready to close the deal on a career with AT&T?

Apply today.

Weekly Hours:

40

Time Type:

Regular

Location:

Dallas, Texas

Salary Range:

$118,800.00 178,200.00

It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities.AT&T is a fair chance employer and does not initiate a background check until an offer is made.

Manager, Data Analysis

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

What you’ll do:

• Drive current and future strategy by leveraging your analytical skills

• Assist with building and using models to test and validate data

• Work with vast amounts of data in new and evolving environments

• Be a part of growing and developing our brand in new and emerging markets

• Leverage analytics to create a customer experience above our peers

• Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers

• Be a part of the full life cycle of projects and see end results

• Collaborate across business units

• Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority

• Experience real work life balance, with little travel involved

On any given day you will be:

• Mining data to arrive at specific and crucial information for the organization

• Identifying and implementing process, data, and reporting improvements for the organization

• Working with large and complex databases containing millions to billions of records

• Improving operational efficiencies and effectiveness

• Conducting analysis to evaluate processes and tests

• Extracting and analyzing data to gauge product offerings

• Consulting on the design and implementation of new production and data storage systems

• Developing and implementing strategic tests of products, initiatives and marketing materials

An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply.

Basic Qualifications

• Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

• At least 4 years of experience performing professional data analysis work

• At least 4 years of experience performing programming

Preferred Qualifications:

• Master’s Degree in a Science, Technology, Engineering, Mathematics discipline

• At least 7 years of professional data analysis work experience

• At least 4 years of experience with Python, R, Spark or SQL

• At least 1 year of experience in people management

• At least 1 years of project management experience

• At least 1 year of experience in Tableau

• Proficient utilizing and developing within AWS service

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $158,400 - $80,800 for Data Analysis Manager

Richmond, VA: 144,000 - 164,400 for Data Analysis Manager

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website ( . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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Job Responsibilities:

The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language processing. They will play a pivotal role in updating our machine learning models and ensuring their efficacy.
MAIN TASKS & RESPONSIBILITIES

Machine Learning Model Updates:

• Update training and test model databases with new or amended synthetic textual and image data.
• Modify and refine machine learning data creation, annotation, and rating guidelines.

Model Training and Evaluation:

• Initiate model training processes using internal tools and command-line interfaces.
• Evaluate the performance of trained models to gauge their efficacy and readiness for deployment.

Data Management and Annotation:

• Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees.
• Handle data efficiently, ensuring its integrity throughout the workflow.
• Engage in data relevance tasks, ensuring data sets are aligned with project goals.
• Annotate data accurately, ensuring it adheres to set guidelines.

Quality Assurance and Analysis:

• Conduct manual quality analysis of model results.
• Recognize error patterns and report anomalies for further investigation.
• Deliver detailed reports on findings, including aspects such as utterance quality, LLM evaluation, ASR bug tracking, and customer pain points to be reviewed by the User Experience Research team.
• Implement basic quality control measures and ensure the reliability of processed data.
• Utilize intermediate data analysis techniques to extract insights and inform decision-making.
• Arbitrate discrepancies effectively, ensuring consistent data quality.

Linguistic and NLP Tasks:

• Apply basic knowledge of natural language processing and linguistics to data processing tasks.
• Ensure linguistic accuracy in all processed and annotated data.

REQUIREMENTS

Preferred Qualifications:

• Bachelor's degree in Computer Science, Data Science, Linguistics or Computational Linguistics or a related field.

Experience:

• Ability to work in a fast-paced, collaborative environment.
• Excellent communication skills

Skills & Knowledge:

• Familiarity with command-line tools and interfaces.
• Strong analytical skills with the ability to identify patterns and anomalies.

Additional Information:

This role primarily focuses on English US data sets; however, familiarity with translation or multi-lingual data sets can be a plus for future projects.

Additional Job Details:

Manager, Data Analysis

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

What you'll do:

• Drive current and future strategy by leveraging your analytical skills

• Assist with building and using models to test and validate data

• Work with vast amounts of data in new and evolving environments

• Be a part of growing and developing our brand in new and emerging markets

• Leverage analytics to create a customer experience above our peers

• Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers

• Be a part of the full life cycle of projects and see end results

• Collaborate across business units

• Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority

• Experience real work life balance, with little travel involved

On any given day you will be:

• Mining data to arrive at specific and crucial information for the organization

• Identifying and implementing process, data, and reporting improvements for the organization

• Working with large and complex databases containing millions to billions of records

• Improving operational efficiencies and effectiveness

• Conducting analysis to evaluate processes and tests

• Extracting and analyzing data to gauge product offerings

• Consulting on the design and implementation of new production and data storage systems

• Developing and implementing strategic tests of products, initiatives and marketing materials

An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply.

Basic Qualifications

• Currently has, or is in the process of obtaining a Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master's Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

• At least 4 years of experience performing professional data analysis work

• At least 4 years of experience performing programming

Preferred Qualifications:

• Master's Degree in a Science, Technology, Engineering, Mathematics discipline

• At least 7 years of professional data analysis work experience

• At least 4 years of experience with Python, R, Spark or SQL

• At least 1 year of experience in people management

• At least 1 years of project management experience

• At least 1 year of experience in Tableau

• Proficient utilizing and developing within AWS service

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $158,400 - $80,800 for Data Analysis Manager Richmond, VA: 144,000 - 164,400 for Data Analysis Manager

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at or via email at All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description:

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.

Overall Purpose: Research, collect, process, and organize data into various data repositories including maintaining and updating interfaces, creating data rules and data mapping, resolving data discrepancies across multiple business applications, then responding to business requests to analyze data to generate actionable insights.

Key Roles and Responsibilities: Typical tasks may include, but are not limited to, the following:
• Data Collection and Processing: Gather, preprocess, and cleanse data from various sources to ensure it is accurate and ready for analysis.
• Data Analysis and Interpretation: Analyze data using statistical methods to identify trends and insights, creating reports and recommendations for business decisions.
• Reporting and Visualization: Create clear, factual/precise, and compelling data visualizations and reports to effectively communicate findings to stakeholders.
• Discrepancy Resolution and Quality Assurance: Identify, resolve, and ensure the accuracy of data discrepancies across platforms, maintaining data reliability through quality control and auditing.
• Analytical Tools: Includes SQL, PowerBI, Python, Tableau, etc.

Job Contribution: An experienced professional with advanced, interdisciplinary knowledge, resolving difficult and complex issues using broad professional concepts. Guides others, applying advanced principles and company practices. Leads moderate sized projects (or parts of larger projects) with strategic value. Operates autonomously with frequent senior leadership interaction.

Supervisor: No

TCP Career Step Differentiator: Manages complex data movement, storage and analysis.

Education/Experience: Bachelor’s degree (BS/BA) desired in Computer Science, Math, etc. 5+ years of related experience. Certification is required in some areas.

Our Lead Data Analysis, earns between  $130,700 - $96,100. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.  

Joining our team comes with amazing perks and benefits:

• Medical/Dental/Vision coverage  
• 401(k) plan  
• Tuition reimbursement program  
• Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)  
• Paid Parental Leave  
• Paid Caregiver Leave  
• Additional sick leave beyond what state and local law require may be available but is unprotected  
• Adoption Reimbursement  
• Disability Benefits (short term and long term)  
• Life and Accidental Death Insurance  
• Supplemental benefit programs: critical illness/accident hospital indemnity/group legal  
• Employee Assistance Programs (EAP)  
• Extensive employee wellness programs  
• Employee discounts up to 50% off on eligible AT&T mobility plans and accessories,
• AT&T internet (and fiber where available) and AT&T phone

If you’re ready to make an impact on our business and your career, bring your bold ideas to a world of possibility. 

Apply today!

Weekly Hours:

40

Time Type:

Regular

Location:

Dallas, Texas

Salary Range:

$130,700.00 - $196,100.00

It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities.AT&T is a fair chance employer and does not initiate a background check until an offer is made.

We are seeking a dedicated and experienced Data Analysis Team Leader to spearhead our data analytics division. In this pivotal role, you will lead a dynamic team of data analysts, driving strategic insights and ensuring data-driven decision-making across the organization. Your expertise in data interpretation, coupled with exceptional leadership skills, will empower your team to deliver innovative analytical solutions that enable us to achieve our business objectives. You will be responsible for overseeing the entire data analysis process, from data collection and processing to the presentation of findings to stakeholders. You will work closely with cross-functional teams to understand their data needs and convert complex data sets into actionable insights. A key aspect of this role will be fostering a collaborative environment that encourages professional development and promotes best practices in data analysis. The ideal candidate will possess a strong analytical mindset and a passion for leveraging data to solve complex business challenges. This is an exciting opportunity for an individual who is ready to make a significant impact and drive our data initiatives to new heights.

Responsibilities:

• Lead and manage a team of data analysts, providing guidance and support in analysis efforts.
• Oversee data collection, processing, and analysis to ensure accuracy and reliability of insights.
• Collaborate with stakeholders to define analytical needs and provide strategic recommendations based on data analysis.
• Develop and implement data analysis methodologies and best practices to enhance team productivity and output quality.
• Prepare and present detailed reports and presentations summarizing analytical findings to senior management and other stakeholders.
• Monitor team performance and provide training and mentoring to enhance the team's skill sets.
• Stay updated with industry trends and technological advancements in data analysis and incorporate them into team practices.

Requirements

• Fluent in both English and Chinese.
• Strong communication skills, both verbal and written, to convey complex data insights clearly and concisely.
• Proven experience in a data analysis role with at least 3 years of leadership responsibilities.
• Strong proficiency in data analysis tools such as SQL, Excel, and data visualization software like Tableau or Power BI.
• Excellent analytical and problem-solving skills, with a strong focus on detail and accuracy.
• Demonstrated ability to work collaboratively across teams and effectively manage stakeholder relationships, especially with different Marketing funtional teams.
• Experience in project management and the ability to manage multiple projects simultaneously with competing deadlines.

Benefits

What We Offer:

• Competitive salary and performance-based bonuses.
• Comprehensive benefits package, including health, dental, and retirement plans.
• Opportunities for professional growth and development.
• A dynamic and collaborative work environment.

Base pay for a successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is $140,000-$160,000. This role is also eligible to participate in our discretionary bonus plan.

Disclaimer

The above information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.

Futu Holdings Limited, including all subsidiaries, is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, protected veteran status, or any other characteristic protected by law.

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Please be aware of fraudulent job postings by persons not affiliated with Futu, Moomoo, or their affiliates. Criminals may use fraudulent job postings to obtain your personally identifiable information and/or financial information to steal your identity and/or money.

All communications to you will come from a business email address. We do not hire through text message, social media, or email alone, and any interviews will be conducted in person or through a video call. We will not ask you for bank account information nor ask you to pay anything during the hiring process.

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JLL empowers you to shape a brighter way .

Our people at JLL and JLL Technologies are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.

Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology to our clients. We are committed to hiring the best, most talented people in our industry; and we support them through professional growth, flexibility, and personalized benefits to manage life in and outside of work. Whether you've got deep experience in commercial real estate, skilled trades, and technology, or you're looking to apply your relevant experience to a new industry, we empower you to shape a brighter way forward so you can thrive professionally and personally.

Duties : Optimize supply and demand forecast of client portfolios through data analysis and integrity.
Develop, execute and monitor data management and business analytic processes to support project
delivery. Model demand scenarios and determine best real estate plan to address alternative forecasts.
Translate business intelligence into real estate insights. Maintain data integrity of tools used. Provide and communicate reporting and metrics to stakeholders to make informed decisions.

Requirements : Bachelor's degree, or foreign equivalent degree, in Computer Science, Information
Technology or a related field and minimum two (2) years of related work experience.

Must have experience with/in:

• Performing data analysis and visualization;
• Performing ad hoc reporting using SQL tools and/or visualization tools such as Tableau, Power BI, or QlikView;
• Ensuring data consistency and integrity for the development of models or reports;
• Modeling spreadsheets with Power Query or Python; and
• Working in Agile or Scrum methodologies.

Location:

On-site -Boulder, CO

If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table!

Personalized benefits that support personal well-being and growth:

JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include:

• 401(k) plan with matching company contributions

• Comprehensive Medical, Dental & Vision Care

• Paid parental leave at 100% of salary

• Paid Time Off and Company Holidays

• Flexible and Remote Work Arrangements may be available

About JLL -

For over 200 years, JLL (NYSE: JLL), a leading global commercial real estate and investment management company, has helped clients buy, build, occupy, manage and invest in a variety of commercial, industrial, hotel, residential and retail properties. A Fortune 500 company with annual revenue of $20.9 billion and operations in over 80 countries around the world, our more than 103,000 employees bring the power of a global platform combined with local expertise. Driven by our purpose to shape the future of real estate for a better world, we help our clients, people and communitiesSEE A BRIGHTER WAY. JLL is the brand name, and a registered trademark, of Jones Lang LaSalle Incorporated. For further information, visitjll.com.

Estimated compensation for this position:

70,000.00 - 100,000.00 USD per year

This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations.

Location:

On-site -Boulder, CO

If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table!

Personalized benefits that support personal well-being and growth:

JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include:

• 401(k) plan with matching company contributions

• Comprehensive Medical, Dental & Vision Care

• Paid parental leave at 100% of salary

• Paid Time Off and Company Holidays

JLL Privacy Notice

Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.

For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.

For additional details please see our career site pages for each country.

For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here.

Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.

Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment.

Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest.

Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate.

California Residents only

If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view ourSupplemental Privacy Statement which describes your rights and disclosures about your personal information.If you are viewing this on a mobile device you may want to view the CCPA version on a larger device.

Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Accepting applications on an ongoing basis until candidate identified.