2

Full Time Data Analyst Startup Jobs (NOW HIRING)

They are seeking a Finance Data Analyst to serve as the data engine for their finance team, working ... startup environment Preferred : • Familiarity with consumer lending, fintech, or financial ...

Company Description Full-Time We are looking for a passionate certified Data Analyst. The successful candidate will turn data into information, information into insight and insight into business ...

Full-Time We are looking for a passionate certified Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst ...

Senior Data Analyst

Palo Alto, CA

$101K - $127K/yr

Activehours is looking for a rockstar Senior Data Analyst to join our team in Palo Alto. We're a ... As part of a rapidly growing startup, you'll have the freedom to shape your role, choose your tools ...

Senior Data Analyst

Palo Alto, CA · On-site

$101K - $127K/yr

Activehours is looking for a rockstar Senior Data Analyst to join our team in Palo Alto. We're a ... As part of a rapidly growing startup, you'll have the freedom to shape your role, choose your tools ...

Data Analyst

Alexandria, VA · On-site

$99K - $144K/yr

  • Medical

  • Life

In this role, you will leverage data analytics, business intelligence, and reporting expertise to ... For more information, please visit: Full-Time Salary Range for this position: $99,000-$144,000 USD ...

Principal Data Analyst, Growth

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Brightside is looking for a versatile Principal Data Analyst to take on the principal role in its ... Startup experience Benefits: * A competitive salary * Stock options/equity * Fully paid for ...

Data Analyst - Join Our Team Data Analyst Los Angeles, CA | Full-Time | CTC, W2 Job Summary We are seeking a detail-oriented Data Analyst to collect, analyze, and interpret data to help drive ...

Past startup experience is a big plus! Compensation : 4 \- 6 LPA Food benefits Why Should You ... Full\-time\n \n \n \n \n Experience \n \n \n Associate\n \n \n \n \n Job function \n \n \n ...

We are seeking a talented and experienced Data Analyst to join our team on a full-time basis. As a Data Analyst, you will be responsible for collecting, organizing, and analyzing large sets of data ...

... Data Analyst who thrives at the intersection of data modeling, SQL craftsmanship, and problem ... Thrive in an early-stage startup with smart, intense teammates and constant evolution. * Love ...

Metrics and Data Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance ... The Data Analyst SME Contractor Support Lead will serve as the primary contractor technical ...

IMSolutions is seeking a Data Analyst to support a future opportunity with a federal agency anticipated to begin in September 2026 Employment Type: Full-Time Location: Remote/Hybrid as authorized by ...

Data Analyst Apply now Job no: 507110 Work type: Full-Time Location: University City - Philadelphia, PA Categories: Drexel University, Dornsife School of Public Health Job Summary The Dornsife School ...

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Analyst will be responsible for collecting, processing, and analyzing data to support ... Flexible work schedule and remote work options Job Type: * Full time Pay: * $21.00 - $26.00 per ...

Showing results 41-60

Full Time Data Analyst Startup information

See salary details

$34K

$82.6K

$136K

How much do full time data analyst startup jobs pay per year?

As of Aug 16, 2026, the average yearly pay for full time 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 Full Time Data Analyst Startup vs Full Time Data Scientist Startup?

AspectFull Time Data Analyst StartupFull Time Data Scientist Startup
Required CredentialsBachelor's in Data Analysis, Statistics, or related field; proficiency in Excel, SQL, and BI toolsBachelor's or Master's in Computer Science, Statistics, or related; expertise in programming languages like Python or R, machine learning
Work EnvironmentCollaborative startup setting, focus on data reporting and visualizationInnovative startup environment, focus on developing models and advanced analytics
Industry UsageCommonly employed in startups across various sectors for data reportingUsed in startups focusing on AI, machine learning, and predictive modeling

In summary, Full Time Data Analysts in startups primarily handle data reporting and visualization with a focus on business insights, while Full Time Data Scientists develop complex models and algorithms to drive predictive analytics. Both roles are vital but differ in technical depth and scope.

More about Full Time Data Analyst Startup jobs

What cities are hiring for Full Time Data Analyst Startup jobs?

Cities with the most Full Time 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 Full Time Data Analyst Startup jobs?

States with the most job openings for Full Time Data Analyst Startup jobs include:

Infographic showing various Full Time Data Analyst Startup job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Finance Data Analyst

ClarityPay

Atlanta, GA • On-site

Full-time

Re-posted 24 days ago


Job description

Job Summary:
ClarityPay is a fast-growing fintech company redefining the point-of-sale credit market. They are seeking a Finance Data Analyst to serve as the data engine for their finance team, working cross-functionally to extract and analyze data that drives financial reporting and business decisions.
Responsibilities:
• Write, optimize, and maintain complex SQL queries to extract and analyze data across loan originations, portfolio performance, payment activity, and merchant transactions
• Build and maintain clean, reliable datasets and data pipelines to support recurring finance and risk reporting
• Perform ad hoc analyses to answer business questions across the credit, product, and finance teams
• Support the finance team with data pulls for monthly reporting, investor updates, and board materials
• Analyze portfolio-level metrics including origination volumes, delinquency rates, loss rates, prepayment speeds, and cohort performance
• Build and maintain dashboards in BI tools (Looker, Tableau, or similar) to give stakeholders real-time visibility into key metrics
• Partner with the Risk team to pull and analyze credit performance data, underwriting outcomes, and loss trends
• Work with the Product team to instrument new features, track performance metrics, and assess the financial impact of product decisions
• Translate raw data into clear, actionable insights for non-technical stakeholders
• Use Python to automate recurring data pulls, reporting workflows, and manual finance processes to improve efficiency and reduce operational overhead
• Partner with engineering to understand data models, ensure data quality, and flag anomalies
• Help build and document a scalable data foundation for the finance function
Qualifications:
Required:
• Bachelor's degree in Finance, Economics, Statistics, Computer Science, or a related field
• 2–4 years of experience in a data analyst, financial analyst, or similar role
• Strong SQL skills — comfortable writing complex queries, joins, window functions, and aggregations
• Proficiency in Python for data analysis and process automation (pandas, numpy)
• Experience with BI tools such as Looker, Tableau, or Power BI
• Ability to work cross-functionally and communicate data findings clearly to finance, risk, and product stakeholders
• Detail-oriented, intellectually curious, and comfortable working in a fast-paced startup environment
Preferred:
• Familiarity with consumer lending, fintech, or financial services data is a strong plus
Company:
ClarityPay is a financial services technology company that offers installment loans to consumers at the point of sale. Founded in 2024, the company is headquartered in New York, USA, with a team of 51-200 employees. The company is currently Growth Stage.