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Evening Data Analyst Startup Jobs (NOW HIRING)

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 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 ...

Data Analyst

Manhattan, 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

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

Omaha, NE · On-site

$60K - $75K/yr

Data Analyst Omaha Riverfront Transform raw survey data into trusted, analysis-ready insights that ... Brand strength, startup energy: Thrive in an innovative environment backed by a trusted brand. * A ...

Data Analyst

Manhattan, NY · On-site

$120K - $170K/yr

Data Analyst Chicago or New York Honeycomb At Honeycomb, we're reshaping the future of insurance ... Honeycomb is a rapidly growing global startup, generously backed by top-tier investors and powered ...

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 ...

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 ...

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 ...

... is a startup and everyone wears multiple hats)Experience experimenting with AI tools in your ... data sets and analyses.Understanding statistical significance, confidence intervals, independent ...

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

Sr. Data Analyst

Washington, DC · On-site

$97.40K - $122.80K/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 ...

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 ...

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

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 ...

As a Data Analyst, you won't just report on this data--you'll help shape how it's used to drive ... Enthusiastic about the fast-paced work environment of an early-stage startup * Excellent ...

New

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 ...

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Evening Data Analyst Startup information

See salary details

$34K

$82.6K

$136K

How much do evening data analyst startup jobs pay per year?

As of May 28, 2026, the average yearly pay for evening 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 is the difference between Evening Data Analyst Startup vs Evening Data Analyst Corporate?

AspectEvening Data Analyst StartupEvening Data Analyst Corporate
Work EnvironmentFast-paced, flexible, entrepreneurialStructured, hierarchical, process-driven
Required CredentialsRelevant degree, data analysis skills, startup experienceSimilar credentials, often with corporate-specific certifications
Industry UsageCommon in tech startups, small businessesPrevalent in large corporations, finance, consulting
Job FocusData insights for growth, product developmentOperational reporting, compliance, strategic analysis

Overall, Evening Data Analyst Startup roles tend to be more dynamic and flexible, focusing on growth-driven insights, while Evening Data Analyst Corporate positions emphasize structured processes and operational reporting within established organizations.

More about Evening Data Analyst Startup jobs
What cities are hiring for Evening Data Analyst Startup jobs? Cities with the most Evening 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 Evening Data Analyst Startup jobs? States with the most job openings for Evening Data Analyst Startup jobs include:
Infographic showing various Evening Data Analyst Startup job openings in the United States as of May 2026, with employment types broken down into 99% Full Time, and 1% Temporary. Highlights an 20% Physical, 4% Hybrid, and 76% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst

Data Analyst

Prizeout

New York, NY • On-site

$90K - $100K/yr

Full-time

Posted 19 days ago


Job description

Why Prizeout
 
At Prizeout, we're redefining how people engage with their money through smarter, data-driven rewards. We're looking for curious, analytical builders who love turning big, complex data into meaningful insights that drive loyalty and better financial outcomes. We keep the user at the center of every decision and we value humility, curiosity, and ownership.
 
About This Role
 
As a Data Analyst, you'll drive insights across the Debit & Credit Card Rewards & CashBack+ Products. You will analyze how credit union members adopt & interact with the various products to help partners and Prizeout track and improve member experience and financial outcomes. You'll build analytical models and client-facing dashboards to increase visibility and help drive adoption. This is a high-impact role for someone who loves turning big, complex data into tangible results for clients and is motivated by improving real people's everyday financial lives.
What You'll Do
  • Develop a deep understanding of the Debit & Credit Card Rewards, CashBack+ (including Pay), and Actions products, including their product and financial performance metrics
  • Partner with clients and client-facing teams to understand their needs and identify opportunities to improve workflows and member experiences
  • Build analytical frameworks and dashboards to track partner member adoption and product performance
  • Define and measure key activation milestones (e.g., deposit health signals, card linking, first gift card purchase, streak activity)
  • Analyze partner adoption funnels and identify drivers of successful product launches
  • Collaborate cross-functionally to define KPIs, test hypotheses, and measure the impact of initiatives (e.g., marketing) on product adoption
  • Support GTM and partner teams with analytics that drive adoption, engagement, and growth
  • Translate complex analyses into clear insights, recommendations, and narratives for senior stakeholders
What We're Looking For
  • 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 tools (e.g., Tableau or Looker), and Excel
  • Ability to organize ambiguity and clearly communicate the "so-what"
  • Comfort working with financial data, behavioral signals, and marketplace metrics
  • Desire to influence the product direction and growth strategy through deep user understanding
 
Please Note: Must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa.
 
The expected salary range for this position is $90,000-100,000, plus an equity component.
What Is Prizeout?
 
Prizeout is an adtech company with a three-sided marketplace that allows consumers to receive earned or allocated funds via digital gift cards. Our commercial partners offer Prizeout as a withdrawal or disbursement method, while brands can digitally advertise and acquire new customers through Prizeout ad campaigns.
 
Prizeout is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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