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Data Analyst Startup Jobs (NOW HIRING)

... rapidly growing startup. Our product combines digital technology, advertising, consumer ... analytical mind with creative problem-solving skills to use data to drive success. The ideal ...

... rapidly growing startup. Our product combines digital technology, advertising, consumer ... Building proactive analysis through data mining to identify trends and opportunities for product ...

Data Analyst

San Francisco, CA · Remote

$1K - $1K/mo

We are looking for a talented Data Analyst to join one of our the most growing series A startup in the Bay Area. As a Data Analyst, you will be responsible for collecting, analyzing, and interpreting ...

Data Analyst

Manhattan, NY · Remote

$70K - $100K/yr

We're looking for a Data Analyst to help us understand how users interact with our product and turn ... Direct impact on a growing AI startup. * Small team, fast feedback loop, no bureaucracy. * Real ...

Data Analyst

San Francisco, CA · On-site

$123K - $160K/yr

Hayden AI seeks a Data Analyst to support a diverse set of stakeholders with Data and Analytics ... Prior experience in a startup environment and a desire to make a significant impact.

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a ...

Data Analyst

Manhattan, NY · Remote

$70K - $100K/yr

We're looking for a Data Analyst to help us understand how users interact with our product and turn ... Direct impact on a growing AI startup. * Small team, fast feedback loop, no bureaucracy. * Real ...

Company Description SRP is a big data startup company located in Princeton, NJ focused on Dynamic ... We are looking for a big data analyst that can generate clear and insightful analyses on the data ...

Company Description SRP is a big data startup company located in Princeton, NJ focused on Dynamic ... We are looking for a big data analyst that can generate clear and insightful analyses on the data ...

Data Analyst

New York, NY · On-site

$90K - $100K/yr

Degree in a quantitative field or 1+ years of experience in data analysis, product analytics, or a similar quantitative role (startup or fintech experience is a plus) * Strong proficiency in SQL, BI ...

Degree in a quantitative field or 1+ years of experience in data analysis, product analytics, or a similar quantitative role (startup or fintech experience is a plus) * Strong proficiency in SQL, BI ...

Data Analyst

New York, NY · On-site

$90K - $100K/yr

Degree in a quantitative field or 1+ years of experience in data analysis, product analytics, or a similar quantitative role (startup or fintech experience is a plus) * Strong proficiency in SQL, BI ...

Data Analyst About the Organization Now is a great time to join Redhorse Corporation. Our mission ... Lean Startup lets us turn those ideas into business models that work, quickly and for the least ...

Airship is recruiting for a Data Analyst to join our dynamic ASO Team. We work with top app ... Ability to thrive with minimal direct supervision/management (Gummicube is a startup and everyone ...

Data Analyst

Chicago, IL · On-site

$120K - $170K/yr

Honeycomb is a rapidly growing global startup, generously backed by top-tier investors and powered ... About the Role We are looking for a Financial & Data Analyst to join our Finance organization and ...

Sr. Data Analyst

Washington, DC · On-site

$110K - $150K/yr

Senior Data Analyst Washington, DC Metro Area (On-Site) | US Citizenship Required A mission-driven ... Exposure to startup or growth-stage environments * Advanced degree or technical certifications

Company Description kWantera is a venture-backed startup company dedicated to helping companies manage their energy. Our team of quantitative energy market analysts work with our big data analytics ...

Data Analyst

San Francisco, CA · On-site

$55K - $120K/yr

Reconcile financial and transactional data from multiple sources to enable accurate, repeatable ... Startup mindset: Not scared of ambiguity and hungry for rapid growth * Intensity & Ownership: This ...

Company Description kWantera is a venture-backed startup company dedicated to helping companies manage their energy. Our team of quantitative energy market analysts work with our big data analytics ...

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Data Analyst Startup information

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How much do data analyst startup jobs pay per year?

As of Jun 8, 2026, the average yearly pay for data analyst startup 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 are some challenges a Data Analyst might face when working in a startup environment?

Data Analysts in startups often encounter rapidly shifting priorities and limited resources, which require them to adapt quickly and independently manage their work. You may find yourself setting up new data processes from scratch, dealing with incomplete datasets, or balancing multiple projects at once. Collaboration is frequent, as you'll typically work closely with founders, product managers, engineers, and marketers to deliver actionable insights. This environment fosters valuable learning opportunities and skill development, but it also demands flexibility, resourcefulness, and a willingness to take on diverse tasks.

What are the key skills and qualifications needed to thrive in the Data Analyst Startup position, and why are they important?

To thrive as a Data Analyst at a startup, you need strong quantitative skills, proficiency in data manipulation and statistical analysis, and often a degree in a related field like mathematics, statistics, or computer science. Familiarity with tools like SQL, Python, R, Excel, and data visualization platforms such as Tableau or Power BI is highly beneficial, as is experience with cloud-based data storage. Adaptability, problem-solving, and excellent communication skills set standout candidates apart in this fast-paced environment. These capabilities are crucial because startup Data Analysts often wear multiple hats, working cross-functionally to extract actionable insights that directly influence business decisions.

What is a Data Analyst Startup job?

A Data Analyst in a startup is responsible for collecting, analyzing, and interpreting data to help drive business decisions. Unlike in larger companies, startup data analysts often wear multiple hats, working with raw, unstructured data, building dashboards, and providing strategic insights. They collaborate closely with product, marketing, and engineering teams to optimize processes and improve business performance. The role requires strong analytical skills, proficiency in SQL, Python, or R, and the ability to adapt quickly to a fast-paced environment. Since startups have fewer resources, data analysts must be proactive, resourceful, and comfortable with ambiguity.

More about Data Analyst Startup jobs
What cities are hiring for Data Analyst Startup jobs? Cities with the most Data Analyst Startup job openings:
What are the most commonly searched types of Data Analyst Startup jobs? The most popular types of Data Analyst Startup jobs are:
What states have the most Data Analyst Startup jobs? States with the most job openings for Data Analyst Startup jobs include:
Infographic showing various Data Analyst Startup job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst

Full-time

Posted 8 days ago


Job description

SundaySky has a unique and exciting opportunity to join an analytics group for a rapidly growing startup. Our product combines digital technology, advertising, consumer relationship management, and big data for the most recognizable brand names across multiple industries. We are seeking an energetic, self-starter that combines an analytical mind with creative problem-solving skills to use data to drive success.

The ideal candidate approaches analysis as a path to strategic thinking that culminates in actionable insights. If you're the kind of person who obsesses over details, thrives in a dynamic, fast-paced collaborative startup environment, wants an opportunity to make a significant impact and jumps at the opportunity to take on new challenges, SundaySky is the place for you. In a fast paced, ever-changing environment, you will be involved in the following - Building proactive analysis through data mining to identify trends and opportunities for product optimization.

Finding areas of opportunity to drive revenue in a digital advertising campaign. Proving value to strategic clients by developing data-driven stories in dynamic presentations. Discovering best practices to reduce subjectivity, display industry leadership, and further develop our product.

Developing a reporting platform to provide a unified view of results through dashboards and reports that will be accessed by all levels within SundaySky. Maintaining data integrity working closely with R&D to organize and store data in a format that provides accurate data and allows the business to quickly identify both data and operational issues. Packaging and presenting analytical findings and clearly communicating (both written and verbal) program results and complex concepts to success managers, marketing, sales team, and the end client in both statistical and non-statistical terms.

Supporting sales and success management teams by providing data-driven industry overviews, information on research products, assisting with trouble-shooting issues, and answering questions that may arise from data issues and reports. Become an expert in industry, customer and SundaySky measurement methodologies. Requirements: The ideal candidate will have the following experience and skillset: Minimum 3 years of experience in business analytics or digital advertising environment Competency in statistical analytic techniques such as: time series data analysis, forecasting segmentation, univariate & multivariate statistical analysis, various metrics and key performance indicators, research & test design, significance testing, hypothesis testing, variance and growth calculations, return on investment Project management skills, including the abilities to handle multiple projects in a fast-paced environment and work effectively with colleagues and clients in diverse departments, geographic locations, and time zones.

Balances desire for quantitative rigor with realities of inconsistent business data Critical thinking: capable of generating consistently accurate, useful reports as well as enthusiasm for translating data into actionable insight relevant to marketing program objectives Experience with the following tools: MS Office: Advanced Excel (Pivot tables, advanced macros, etc.) and PowerPoint BI & Analytics Tools (Tableau, MicroStrategy, SAS) Web analytics tools: Google Analytics, Omniture, DART, Coremetrics, etc. Open source statistical software: R or Python (similar to SAS, SPSS, etc.) Database (SQL, MySQL, NoSQL, Splunk, etc.) Experience with data visualization and/or an eye for design Proactive, independent thinker with high energy and positive attitude Bachelor's degree (B.A. or B.Sc.) or equivalent

Experience with ecommerce / digital advertising best practices Willingness to take coaching for continuous personal development Experience working with a distributed team of Sales managers, project managers and technical support. Must be authorized to work in the US