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Consumer Data Analyst Jobs (NOW HIRING)

About the Role You'll join one of our sector teams - covering industries like consumer goods ... As a Data Analyst, you'll ramp quickly onto a portfolio of data products, building deep expertise ...

Data Analyst

Skillman, NJ · On-site

$18 - $23/hr

Analyze and scrub incoming data files containing consumer information to identify potential errors and ensure all required/expected data elements are present * Manipulate and convert data files to ...

Data Analyst

Skillman, NJ · On-site

$18 - $23/hr

Analyze and scrub incoming data files containing consumer information to identify potential errors and ensure all required/expected data elements are present * Manipulate and convert data files to ...

Data Analyst

Skillman, NJ · On-site

$18 - $23/hr

Analyze and scrub incoming data files containing consumer information to identify potential errors and ensure all required/expected data elements are present * Manipulate and convert data files to ...

Company Description Rapidly growing consumer electronics distributor and repair company is seeking ... The ideal candidate must possess a solid understanding of data analysis. Qualifications Duties and ...

Orbee provides digital marketing analytics, data, and automation solutions to the automotive ... consumer experiences, build comprehensive buyer profiles by connecting first-party data signals ...

Bachelor's degree in Analytics, Economics, Business Analysis, Marketing, or a related field * 3+ ... Experience working with consumer or customer data preferred Product & QA Skills * Experience ...

Company Description Rapidly growing consumer electronics distributor and repair company is seeking ... The ideal candidate must possess a solid understanding of data analysis. Qualifications Duties and ...

Own analytics-ready datasets and dashboards from requirements through delivery and adoption * Lead ... Experience working with consumer or customer data preferred Product & QA Skills * Experience ...

Data Analyst Req ID: 10158683 The Subscriber Lifecycle & Commerce Analytics team is looking for a ... Experience in the streaming media industry and/or supporting a direct-to-consumer or subscription ...

Solid understanding of data modeling concepts (dimensional / star schema) from a consumer's perspective. * Ability to translate ambiguous business questions into structured analysis and clear ...

They provide consumer-facing eCommerce experiences and high traffic CRM for our Coach network users ... Analyze data to determine requirements for a migration and updating of user data from one set of ...

They provide consumer-facing eCommerce experiences and high traffic CRM for our Coach network users ... Analyze data to determine requirements for a migration and updating of user data from one set of ...

Parts and Accessories Sales Performance; and Consumer Engagement. With our global teams, industry ... This is a Technical Data Analyst role. The candidate would be expected to help develop analytic ...

Preferred experience working with e-commerce, direct-to-consumer, education, publishing, subscription, or digital-product businesses. Core Competencies * Forecasting and advanced data analysis

Showing results 41-60

Consumer Data Analyst information

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$34K

$82.6K

$136K

How much do consumer data analyst jobs pay per year?

As of Sep 13, 2026, the average yearly pay for consumer data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a consumer data analyst?

A Consumer Data Analyst is a professional who collects, processes, and analyzes data related to consumer behavior, preferences, and trends. They use statistical tools and data visualization techniques to interpret complex datasets, helping businesses understand their customers and make data-driven decisions. Consumer Data Analysts often collaborate with marketing, sales, and product teams to provide insights that can improve products, services, and overall customer experience. Their work is crucial for organizations aiming to optimize marketing strategies and increase customer satisfaction.

What are the key skills and qualifications needed to thrive as a consumer data analyst, and why are they important?

To thrive as a Consumer Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in data science, statistics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI is typically required. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights clearly to stakeholders. These skills are essential for transforming complex consumer data into strategic business decisions that drive growth and competitiveness.

How do consumer data analysts typically collaborate with marketing and product teams to drive business insights?

Consumer Data Analysts frequently work alongside marketing and product teams by translating raw consumer data into actionable insights. They help identify trends in customer behavior, segment audiences, and evaluate the effectiveness of campaigns or product features. Regular meetings, dashboard presentations, and collaborative workshops are common, ensuring that analytics inform strategic decisions. This cross-functional teamwork not only enhances the impact of their analyses but also provides opportunities for analysts to contribute directly to business growth.

What is the difference between Consumer Data Analyst vs Market Research Analyst?

AspectConsumer Data AnalystMarket Research Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; proficiency in data analysis toolsBachelor's in Marketing, Business, or related field; knowledge of research methods
Work EnvironmentData-focused roles within companies, analyzing consumer behaviorResearch firms or marketing departments conducting market studies
Employer & Industry UsageRetail, e-commerce, consumer servicesAdvertising, market research firms, consulting
Search & Comparison IntentUnderstanding consumer data analysis rolesUnderstanding market research roles

Consumer Data Analysts focus on analyzing consumer behavior and preferences using data analytics tools, often working within companies to inform marketing strategies. Market Research Analysts conduct broader market studies to understand industry trends and consumer insights, typically working for research firms or marketing departments. While both roles involve understanding consumers, the Consumer Data Analyst emphasizes data analysis, whereas the Market Research Analyst emphasizes research methodologies.

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What are popular job titles related to Consumer Data Analyst jobs?

For Consumer Data Analyst jobs, the most frequently searched job titles are:

Infographic showing various Consumer Data Analyst job openings in the United States as of September 2026, with employment types broken down into 82% Full Time, 5% Part Time, and 13% Contract. Highlights an 77% In-person, and 23% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
YipitData
Marketing Research • 11 - 50 employees

Full-time

Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

About Us
YipitData is the leading market research and analytics firm for the disruptive economy. Our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like Consumer Goods, AI & Software, Cloud, Payments, and more. The world's top investment funds and Fortune 500 companies depend on our data to drive high-stakes decisions.
We oerate globally with offices in the US, APAC, and India. Our award-winning, people-centric culture-recognized by Inc. as a Best Workplace for three consecutive years-emphasizes transparency, ownership, and continuous mastery.
What It's Like to Work Here
  • Ownership is real, not aspirational. An analyst here can own a data product end-to-end - from methodology to client delivery - and present directly to the investors who depend on it. You won't spend months waiting for "meaningful work."
  • Growth is driven by impact, not tenure. Scope and responsibility expand as fast as you can demonstrate you're ready. We promote based on what you've done, not how long you've been here.
  • AI is a core working tool, not a side project. We're actively rebuilding how analytical work gets done - using AI agents, automation, and new tooling to fundamentally change what's possible. If you're excited about that, you'll thrive here.

About the Role
You'll join one of our sector teams - covering industries like consumer goods, software, or financial services - where you'll own data products that help the world's top investors understand company performance, market trends, and competitive dynamics. Our sector teams are where the core analytical work happens: building and maintaining the data products that our clients depend on for high-stakes decisions.
As a Data Analyst, you'll ramp quickly onto a portfolio of data products, building deep expertise in our proprietary datasets and methodologies. You'll take full ownership of your products - ensuring accuracy, improving methodologies, and delivering insights that clients trust. Over time, you'll expand your scope: taking on more complex products, identifying opportunities to improve how your team works, and growing into a key contributor who shapes how we deliver value.
This is a role for someone who wants to go deep on hard analytical problems, takes pride in getting the details right, and is motivated by owning work that matters. You'll work closely with your Data Lead, Research Analysts, and cross-functional partners in Engineering and Product to deliver best-in-class outputs - and you'll be expected to bring ideas, not just execute on others'.
As a Data Analyst, you will:
  • Own data products end-to-end - driving product success by delivering best-in-class outputs with a focus on accuracy, client value, and efficiency. You'll ramp into full ownership of your products and workflows with increasing autonomy as you build expertise.
  • Work with massive amounts of data to answer our clients' key questions about the companies and datasets we analyze. You'll develop deep expertise in our proprietary methods and techniques, building strong mental models that allow you to ensure data accuracy, identify methodology gaps, and derive key insights.
  • Tackle complex data problems using strong analytical judgment to refine methodologies, test new datasets, and solve challenges that require creative thinking - even when information is incomplete or ambiguous.
  • Use AI and tooling to drive meaningful leverage - increasing speed, reducing manual work, and automating portions of workflows. You'll build repeatable processes, maintain a high bar for correctness and quality, and validate AI-generated outputs.
  • Collaborate cross-functionally with Research, Engineering, and other teams - coordinating across functions to unblock work, align on best practices, and develop solutions that streamline workflows and optimize data processes.
  • Identify opportunities to improve products and processes - whether that's refining a methodology, exploring a new dataset, or finding a better way to do something. Contribute ideas that improve how your team operates and how we deliver value to clients.

You Are Likely To Succeed If:
  • You have 3-5+ years of experience in data analytics, with a background in fields like financial services, management consulting, data science, or high-growth technology - or another environment where you worked with complex data to inform real decisions
  • You have strong fluency in SQL, with experience using Python or PySpark as a plus - particularly for building reusable analysis workflows or automations
  • You have a track record of quickly learning new concepts, particularly complex data methodologies, and building strong mental models of how and why data works
  • You have tackled complex analytical problems and taken ownership beyond your immediate scope - you don't wait to be told what matters, you figure it out and drive it forward
  • You can communicate complex concepts clearly - including methodology, risks, and tradeoffs - both in writing and in conversation with technical and non-technical stakeholders
  • You actively use AI tools and are excited about using AI to drive leverage - not just productivity, but fundamentally better and faster ways of working

What We Offer:
Our compensation package includes comprehensive benefits, perks, and a competitive salary:
  • We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
  • Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above!
  • The annual base compensation for this position is anticipated to be $130K-$180K. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks.

The total compensation package includes a mix of base, bonus, equity, and benefits
This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. Income may be subject to New York State tax withholding.
Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity employer.
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