15 Marketing Analytics jobs in Woburn

Summary:

The mission of the Marketing Insights team is to understand the needs, experiences, behaviors, and attitudes of our users and customers to maximize the value Meta can deliver across our platforms and services. Our team are experts in research technique and practice, but our differentiator is how we act as full-stack partners to help identify and actualize the marketing strategies that connect people and businesses to meaningful experiences.

Required Skills:

Marketing Insights Researcher Responsibilities:

1. Identify opportunities and develop the learning agendas (in collaboration with other functions such as User Experience Research (UXR), Data Science, Creative) to support progress on business goals

2. Responsible for framing strategy decisions, driving alignment, and unblocking progress - ensuring the right conversations are happening and marketing is set up to succeed

3. Design and execute quantitative and qualitative research to support decision-making, strategic planning and shape marketing and brand strategies, campaign development, product development, retail and channel strategy

4. Translate research findings into actionable insights with clear recommendations

5. producing highly effective communication that motivates people to apply learnings in marketing and across the organization

Minimum Qualifications:

Minimum Qualifications:

1. Research Expertise: 8+ years of research experience. Mastery of qualitative and quantitative methods, with the ability to apply them in a business context to inform decision-making

2. Marketing Expertise: Proven expertise in shaping insights-driven marketing campaigns and product launches from definition to execution, with a focus on shaping strategy, driving alignment, and delivering business outcomes

3. Strategic Leadership: Resolves ambiguity, drives cross-functional alignment. Experience convening stakeholders and drive decision making in ambiguous or evolving contexts. Track record of thriving in time-sensitive environments

Preferred Qualifications:

Preferred Qualifications:

1. Experience in brand building and brand strategy development

2. 12+ years of research experience

3. Experience in the technology space

4. Experience collaborating proactively and effectively with a broad variety of partners

5. Experience with hardware, consumer packaged goods, or other physical products

6. Experience in leading insights-focused campaigns/product launches from definition to execution, driving impact and influencing product and marketing decision-making

7. Experience thinking holistically/creatively in addition to technically/analytically

Public Compensation:

$160,000/year to $219,000/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

Road Scholar is the nonprofit world leader in educational travel for older adults. Our mission is to inspire adults to learn, discover, and travel. With thousands of programs across the globe-including in-person, online, and on the water-we believe curiosity is the key to a well-lived life.

At Road Scholar, we are committed to fostering a culture of inclusivity and belonging. We believe that by valuing a wide range of perspectives and experiences, we create a stronger, more innovative organization that reflects the communities we serve.

In addition, we are dedicated to bringing an environmentally sustainable organization. From the way we design our programs to how we operate as a team, we are striving to reduce our environmental impact and create a positive legacy for future generations.

About the role.

The Analyst, Marketing Insights will play a key role in connecting marketing strategy with measurable results. This position bridges the gap between multiple marketing and communications teams-such as partnerships, video, web, PR, social, and writing-by developing reporting and delivering clear, actionable insights from complex data. This person will turn analytics into compelling stories that drive smarter decisions across channels.

The ideal candidate is curious, self-motivated, and skilled at transforming diverse data sources into meaningful narratives. They thrive in a collaborative, good-natured, and flexible workplace culture while working independently to meet deadlines and uncover new opportunities.

Road Scholar offers a remote-first work environment. The compensation range for this exempt level salaried position is $59,000 - $70,000 based on experience.

In this role, you will.

• Audit and maintain reporting needs across Marketing & Communications
• Work with the data warehouse team to create new attributes and metrics to support evolving reporting needs
• Build and present performance reports that drive strategy and decision-making to key stakeholders
• Develop integrated reports from multiple data sources to assess the performance of existing partnerships and quantify the potential value of new partnership opportunities
• Develop audience demographic breakdowns to support media pitches and campaign targeting
• Implement campaign tracking for PR efforts and measure traffic generated from media mentions
• Support social media teams by building reports that assess reach, engagement, and conversion performance across platforms
• Report on blog traffic and engagement; identify content opportunities to expand reach
• Measure video performance across channels and recommend format or platform optimizations
• Partner with the web and digital marketing teams to evaluate performance of paid campaigns, organic traffic, and on-site enrollment conversions
• Develop KPIs and reporting for private group initiatives and Lifelong Learning Institutes (LLIs) to track performance and identify growth opportunities
• Produce and maintain reports to evaluate engagement-including new adds, reactivations, and raffle results-from Ambassador presentations and other in-person events
• Fulfill ad-hoc data requests and support special projects as needed

• Bachelor's degree in quantitative field (e.g. marketing, business, economics, mathematics)
• 2-3 years of analytics experience required, preferably in marketing
• Proficiency in data visualization and business intelligence tools (e.g. Strategy (formerly MicroStrategy), Google Analytics)
• Strong Excel skills; familiarity with SQL is a plus
• Excellent communication skills, with ability to present findings clearly to non-technical stakeholders
• Highly organized, detail-oriented, and able to manage multiple projects with competing deadlines
• Self-motivated, with ability to stay focused while performing independent work in a remote environment
• A collaborative mindset and the ability to work across diverse teams

• Medical, Dental and Vision Insurance (with a substantial employee subsidy!)
• 403(b) Retirement Plan with a company match of 5% after 1 year of employment!
• Up to 20 days of PTO annually, accrued every payroll cycle
• Enjoy a paid week off, in addition to your PTO, at the end of December to enjoy the holiday season!
• A generous employee discounts on our programs
• Access to obtain a Care.com membership
• As a Road Scholar employee, you can opt-in to receive an IATA membership
• We take professional development seriously which is why we provide LinkedIn Learning access to all employees amongst other professional development opportunities
• That's right, we're fully remote!
• To learn more about our benefits offerings, check us out at

• Develop and implement advanced statistical models and machine learning algorithms to analyze marketing data, predict customer behavior, and optimize campaign performance.
• Design and execute A/B tests and other experimental designs to evaluate the effectiveness of marketing initiatives.
• Perform customer segmentation, lifetime value analysis, and propensity modeling.
• Identify key drivers of customer acquisition, retention, and engagement.
• Collaborate with marketing teams to translate business questions into analytical frameworks and provide data-driven recommendations.
• Develop and maintain dashboards and reports to track key marketing KPIs and campaign performance.
• Clean, transform, and prepare large datasets for analysis.
• Stay abreast of the latest advancements in data science, machine learning, and marketing analytics.
• Mentor junior data scientists and contribute to the team's technical growth.
• Communicate complex analytical findings and insights effectively to stakeholders through presentations and visualizations.

• Ph.D. or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field.
• Minimum of 7 years of experience in data science, with a significant focus on marketing analytics and predictive modeling.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Expertise in SQL for data extraction and manipulation.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Strong understanding of marketing principles and metrics (e.g., CAC, LTV, ROI, attribution modeling).
• Excellent analytical, problem-solving, and critical thinking skills.
• Superb communication and presentation skills, with the ability to convey complex technical information to non-technical audiences.
• Proven ability to work independently and manage projects effectively in a remote work environment.

• Lead the development and deployment of machine learning models for customer segmentation, churn prediction, lifetime value estimation, and campaign optimization.
• Design and execute A/B tests and multivariate experiments to measure the impact of marketing initiatives.
• Analyze large, complex datasets from various sources (web analytics, CRM, social media, ad platforms) to uncover actionable insights.
• Develop predictive models to forecast marketing performance and identify key drivers of success.
• Create compelling data visualizations and dashboards to communicate findings to stakeholders across marketing and business units.
• Collaborate closely with marketing teams to translate business questions into analytical problems.
• Mentor junior data scientists and data analysts, providing technical guidance and strategic direction.
• Evaluate and implement new data science tools and techniques to enhance analytical capabilities.
• Ensure data quality, integrity, and ethical use of data in all analytical projects.
• Contribute to the overall data strategy of the organization, championing a data-centric culture.

• Master's or Ph.D. in Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
• 7+ years of experience in data science, with a significant focus on marketing analytics.
• Proficiency in programming languages such as Python or R, and expertise in libraries like scikit-learn, TensorFlow, or PyTorch.
• Strong experience with SQL and working with large databases.
• Expertise in statistical modeling, machine learning algorithms, and experimental design.
• Demonstrated ability to communicate complex technical concepts to non-technical audiences.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Familiarity with cloud platforms (AWS, Azure, GCP) for data science workflows.
• Proven track record of delivering measurable business impact through data science.

Work From Home, Entry Level Data Entry Clerk As A Research Participant

We are looking for people who want to work remotely from home. You'll need an Internet connection and a mobile device or computer.

We need folks who want to do tasks, micro tasks, work at home opinion panels, online focus groups, product testing, research trials and more. This is not a normal 9-5 job, but a fun way to earn extra cash working from home part time on the fly – work when you want. Apply today for free and start earning. Work from home from any location, any hours, any day. Your choice.

All backgrounds welcome: Work from home, part time, Amazon, customer service representative, medical professional, remote work at home, drivers, administrative assistant, work from home customer service representative, registered nurse, web developer, assistant manager, pharmacy technician

Requirements:

• Education varies by study - all education levels accepted
• Current USA resident
• Speak, read and understand English / Spanish a plus as more opportunity is available to you
• Able to focus and follow through
• This is a remote work from home part time gig, you'll need a computer, laptop or mobile device.
• Microsoft Word or Excel helpful as a tool to keep yourself organized, but not mandatory

Here's what you need to get started

• LapTop. You may be asked to use your webcam. These types of studies typically pay more. You'll need a stable internet connection. You may be asked to conduct a study using your SmartPhone.
• Data entry skills. All studies require that you be able to read, write and take direction as well as type a minimum of 25 words per minute.
• Backgrounds in Customer Service, Administrative Assisting, Sales and Sales Support helpful but not mandatory

Pay Info:

• Up to 350 hr. per single study sessions
• up to $3,000 per multi-session studies

We look forward to working with you! Connect with us via email by applying to this posting!

This is for those with any work backgrounds such as Amazon, customer service representative, medical professional, drivers, medical receptionist, our folks come from all backgrounds!

Location:

Remote, United States

Employment Type:

FullTime

Location Type:

Remote

Department

Finance & Operations, Data

Compensation:

$160.1K - $188.1K - Offers Equity

At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click here ( .

Overview

We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them.

It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together.

One Confluent. One Team. One Data Streaming Platform.

About the Role:

As a Marketing Data Scientist at Confluent, you will be a key player in analyzing lead funnel efficiency, marketing measurement and pipeline management. In this role, you will collaborate with Marketing, Growth, Sales & Finance stakeholders. Your focus will include data exploration, conducting in-depth analyses, and generating actionable insights to optimize and sustain healthy marketing funnel.

What You Will Do:

• Identify high-impact opportunities through data exploration, and generate strategic insights by collaborating with cross-functional teams, contributing to improvement amongst top of the funnel conversion metrics.

• Define marketing metrics to measure success, develop scalable reporting to monitor the health of our pipeline, and analyze drivers for company KPIs

• Share actionable insights and recommendations with leadership at various levels, playing a pivotal role in determining marketing campaign and pipeline strategy

• Design and execute A/B tests to measure the impact of product features and launches, providing insights that guide iterative improvements.

• Provide deep understanding of customer journey phases, from awareness to conversion with expertise in analyzing metrics like ROI, CLTV etc. to identify opportunities for growth and optimization

• Collaborate with other data scientists across our organization to share best practices, learn new analytical techniques, and champion an organizational culture where data is central to decision making

What You Will Bring:

• 3+ years of experience in Data Science supporting a marketing function, preferably at a B2B SaaS company

• Strong proficiency in data manipulation, especially using SQL (3+ years of experience) and a scripting language (Python/R)

• Proficiency in data visualization and building dashboards with tools such as Tableau

• Excellent communication skills, and ability to collaborate effectively with technical and non-technical stakeholders

• Experience with marketing attribution models across a variety of channels (SEO, Paid Search, Social, etc.) and A/B testing frameworks

• Exceptional problem solving skills and detail-oriented mindset

• Bachelor or advanced degree in a quantitative discipline: computer science, engineering, statistics, economics, etc.

What Gives You an Edge:

• Familiarity with lead funnel, marketing attribution models, and marketing measurement using causal inference and other advanced analytical methods.

• Understanding of the B2B Marketing Stack, Salesforce objects

Ready to build what's next? Let's get in motion.

Come As You Are

Belonging isn't a perk here. It's the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what's possible.

We're proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.

Job Description

Work Arrangement

Remote: This role is categorized as remote. This means the successful candidate may be based anywhere in the United States and is not expected to report to a GM worksite unless directed by their manager.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

The Role

The Lead Data Science Statistician - AV Safety Data Analysis will drive the statistical methods used to development and evaluation of autonomous vehicle (AV) performance safety metrics ranging from straightforward to advanced machine learning outputs. This position is part of the Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) department in the Global Product Safety, System, and Certification (GPSSC) organization. The SAFE-ADS department serves as the central body for automated driving system (ADS) safety. GM's vision is zero crashes, zero emissions, and zero congestion - AV safety is at the heart of driving forward this vision. If you seek to solve complex data science challenges and see your work drive positive safety change, this role is for you.

The ideal candidate will be an expert in data science, statistical modeling, and data development across the entire data maturity curve. They will have experience in automative, safety, and/or robotic industries and understand how to integrate physics and engineering into the foundational statistical methods and approaches. The technical leader is a self-starter and comfortable solving ambiguous problems. They are passionate about data and creating valuable insights that drive continuous safety improvements and confidence in the system.

As a technical leader in the SAFE-ADS data science team, you will provide robust statistical expertise and guidance, weigh alternatives, and explain the different approaches to senior leaders. You will address safety assurance related questions related to ADS behavioral performance and validation. This role involves working with large-scale data generated by the ADS system. One of the key elements is to scale data science work and accelerating time-to-delivery in insights which requires the integration of physics and engineering principles. As a leader, you'll play a key role in defining and advancing GM's AV quantitative measurement and risk assessment efforts. Your work will contribute to enhancing and scaling our existing safety risk assessment framework and help to ensure coverage of our operational design domain, foundational components of the overall safety case that guides decision-making and drives engineering across the entire AV technology stack.

What You'll Do (Responsibilities)

• Develop and standardize best practices of statistical estimations and uncertainty model for use in ADS safety risk assessment framework

• Work with the team to develop and implement scalable ADS performance measurement solutions to help ensure safe and compliant on-road behavior and build confidence in the results

• Use an iterative method of development to share early results, identify emerging risks, and provide ongoing guidance

• Assess bias estimation and subsampling strategies used by system engineering

• Support Data Engineering and Software & Services (S&S) in the develop and automate pipelines and tooling of the measurement and risk framework

• Conduct statistical analysis to evaluate ADS driving software aggregate measures

• Raise the bar for on-road safety by continuously improving safety and AV measurement, and developing a feedback loop for software improvements

• Collaborate across various AV development teams, including GPSSC, S&S, Data Engineering, and Legal organizations

• Stay up to date on industry trends and advancements in data science and AI/ML to drive innovation within the team and cross-functionally

This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate

Your Skills & Abilities (Required Qualifications)

• M.S. degree in quantitative discipline (statistics, operations, biostatistics, econometrics, or other relevant degree.)

• 8+ minimum years of overall relevant experience, 5 years of which should be experience as a Data Scientist and/or Statistician in a corporate or government setting

• Expertise in statistical modeling, machine learning and/or deep learning techniques

• Prior experience with causal inference using instrumented variables and other forms of multifactor attribution methods

• Expertise generating insights from multiple large-scale datasets

• Proficiency in SQL and Python

• Experience with data visualization tools and techniques

• Collaborative team player and excellent communication and interpersonal skills, with ability to engage effectively with technical and non-technical stakeholders

• Strong business consulting skills; ability to evaluate the big picture and solve strategic business problems

What Will Give You a Competitive Edge (Preferred Qualifications)

• PhD in a quantitative discipline (statistics, operations, biostatistics, econometrics, or other relevant degree.)

• Experience in safety, automotive, or robotics data science is preferred

Compensation:

• The expected base compensation for this role is $160,200- $245,400 USD Annually

• Actual base compensation within the identified range will vary based on factors relevant to the position

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance

Benefits:

GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards Resources ( .

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire ( .

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email ( ) us or call us at . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:

Our Company (

Our Culture

How we hire? (

Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.

Explore our global locations (

We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) ( . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.

Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest.

The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Leading Pharma manufacturer is seeking a Data Scientist with deep pharma marketing experience (MMM). Responsible for driving U.S. digital marketing performance through data measurement, analysis, and optimization. This role evaluates digital data—including CRM streams, paid media, and website analytics—to assess promotional effectiveness and provide data-driven recommendations. Collaborates with U.S. Marketing and creative agencies to develop statistical and machine learning models focused on patient and healthcare professional analytics

THIS IS A CONTRACT ROLE WITH OPTION FOR FULL TIME CONVERSION IF GOING WELL AFTER 6 MONTHS

Keywords: MMM, resource allocation, financial optimization, pharmaceuticals

Key Responsibilities:

• Partner with marketing and omnichannel teams to address business questions and optimize marketing strategies.
• Conduct patient journey analyses, HCP segmentation, and marketing mix optimization from a digital perspective.
• Develop predictive models, MMM, AI-powered tools, and attribution solutions to enhance resource allocation and improve engagement.
• Lead the design of statistical and machine learning models to quantify marketing impact and patient interactions.
• Monitor key digital metrics, providing actionable insights to brand managers on field, email, media, and website performance.
• Collaborate with third-party vendors to ensure optimal measurement strategy and data availability for marketing evaluation.

Qualifications:

• Bachelor’s degree required; advanced technical degree preferred.
• 5+ years of experience in advanced analytics in pharmaceuticals
• Expertise in media mix modeling (MMM), statistical analysis, and machine learning
• Strong SQL skills for data extraction and manipulation.
• Proficiency in Python or R for data modeling.
• Experience in CRM, website, and digital media analytics.
• Excellent communication skills to relay data findings in business terms

send resume to