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Hourly Data Analyst Startup Jobs in Virginia (NOW HIRING)

Range

Senior Data Analyst

Mclean, VA · On-site

$86K - $109K/yr

Every Ranger at this stage is shaping our culture and way of life-from former CEOs and startup ... About the role As a Senior Data Analyst at Range, you will be an analytical partner for teams ...

Capital One

Senior Data Analyst - Card

Mclean, VA · On-site

$86K - $109K/yr

When we launched as a startup we disrupted the credit card industry by individually personalizing ... As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build ...

Capital One

Senior Data Analyst - Risk Product Data

Mclean, VA · On-site

$86K - $109K/yr

When we launched as a startup we disrupted the credit card industry by individually personalizing ... As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build ...

Capital One

Senior Data Analyst - Risk Product Data

Mclean, VA · On-site

$86K - $109K/yr

When we launched as a startup we disrupted the credit card industry by individually personalizing ... As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build ...

Capital One

Senior Data Analyst - Card

Richmond, VA · On-site

$85K - $107K/yr

When we launched as a startup we disrupted the credit card industry by individually personalizing ... As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build ...

Capital One

Senior Data Analyst - Card

Mclean, VA · On-site

$86K - $109K/yr

When we launched as a startup we disrupted the credit card industry by individually personalizing ... As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build ...

Capital One

Senior Data Analyst - Commercial

Mclean, VA · On-site

$86K - $109K/yr

When we launched as a startup we disrupted the credit card industry by individually personalizing ... As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build ...

Capital One

Senior Data Analyst - Card

Richmond, VA · On-site

$85K - $107K/yr

When we launched as a startup we disrupted the credit card industry by individually personalizing ... As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build ...

Unacast

Senior Data Analyst/Scientist

Ashburn, VA · Remote

$110K - $130K/yr

Perform advanced analysis and produce complex data models, insights, and analytics from our Geo ... We operate like a startup, so things change fast, you need to be agile and proactive. * Personal ...

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All JobsHourly Data Analyst Startup JobsHourly Data Analyst Startup Jobs in Virginia

Hourly Data Analyst Startup information

What does an hourly data analyst at a startup do?

An Hourly Data Analyst at a startup is responsible for collecting, processing, and analyzing data to help the company make informed decisions. This role often involves working with large datasets, creating reports, and visualizing trends to support various business functions. Since startups are fast-paced, an hourly data analyst may also assist with data cleaning, database management, and implementing analytics tools. Their work helps identify areas for growth, improve processes, and measure key performance indicators. Flexibility and adaptability are important, as tasks and priorities can change rapidly in a startup environment.

What are the key skills and qualifications needed to thrive as an hourly data analyst at a startup?

To thrive as an Hourly Data Analyst at a startup, you need strong analytical skills, proficiency in statistics, and experience with data manipulation, often supported by a relevant degree or coursework. Familiarity with tools like Excel, SQL, Python, and data visualization platforms such as Tableau or Power BI is typically required. Standout candidates possess problem-solving abilities, adaptability, and effective communication to translate data into actionable insights in a dynamic environment. These skills are crucial for driving data-informed decisions and supporting rapid growth and innovation in the startup setting.

What are some common challenges faced by an hourly data analyst at a startup, and how can I prepare for them?

As an Hourly Data Analyst in a startup environment, you may encounter challenges such as rapidly shifting priorities, limited resources, and the need to wear multiple hats. Startups often require analysts to work with incomplete or messy data and to quickly provide actionable insights for fast-paced decision-making. To prepare, it's beneficial to strengthen your adaptability, communication, and problem-solving skills, as well as familiarize yourself with a range of data tools and technologies. Collaborating closely with cross-functional teams—such as product, engineering, and marketing—is also key to success in this dynamic setting.

What is the difference between Hourly Data Analyst Startup vs Hourly Data Analyst Corporate?

AspectHourly Data Analyst StartupHourly Data Analyst Corporate
Work EnvironmentFast-paced, flexible, often small teamsStructured, larger teams, formal processes
Required CredentialsRelevant degree, data analysis skills, sometimes certificationsSimilar credentials, often with additional industry-specific certifications
Industry UsageStartups across tech, finance, marketingLarge corporations in various sectors
Work FocusRapid project turnaround, innovationLong-term data management, reporting

Hourly Data Analyst startup roles typically involve a fast-paced environment with flexible hours and a focus on quick, innovative solutions. In contrast, corporate roles tend to be more structured with formal processes and long-term data projects. Both roles require similar credentials, but the work environment and focus differ significantly.

What are the most commonly searched types of Data Analyst Startup jobs in Virginia?

The most popular types of Data Analyst Startup jobs in Virginia are:

What are popular job titles related to Hourly Data Analyst Startup jobs in Virginia?

For Hourly Data Analyst Startup jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Hourly Data Analyst Startup jobs in Virginia look for?

The top searched job categories for Hourly Data Analyst Startup jobs in Virginia are:

Hourly Data Analyst Startup jobs near you
Infographic showing various Hourly Data Analyst Startup job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Senior Data Analyst

Range

Mclean, VA • On-site

$86K - $109K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

Job description

Range is creating AI-powered solutions to eliminate financial complexity for our members. We're transforming wealth management through the perfect blend of cutting-edge technology and human expertise. We're obsessed with member experience! We've built an integrated platform that tackles the full spectrum of financial needs-investments, taxes, retirement planning, and estate management-all unified in one intuitive system.
Backed by Google's Gradient Ventures, Cathay Innovations, and Scale Venture Partners, we're in hyper-growth mode and looking for exceptional talent to join our starting lineup. Every Ranger at this stage is shaping our culture and way of life-from former CEOs and startup founders to experts from leading hedge funds and tech companies.
If you're ready to build something that truly matters in financial services, bring your talent to Range. Here, you'll make a genuine impact on how people manage their financial lives while working alongside a team that celebrates wins, makes big decisions, and blazes new trails together.
About the role
As a Senior Data Analyst at Range, you will be an analytical partner for teams across the business including member experience, planners, investments, finance and more. You'll sit embedded with those teams to understand their work deeply and turn their hardest questions into answers, dashboards and analyses that drive decisions.
This role is ideal for someone who enjoys a mix of fast turnaround and deep data work. You will find yourself answering Slack questions with quick SQL pulls, building dashboards for new initiatives and deep diving into the best ways to understand churn trends or customer journeys.
We're excited to hire this role at Range's Headquarters in McLean, VA. All of our positions follow an in-office schedule Monday through Friday, allowing you to collaborate directly with your team. If you're not currently based in the area, but love what you see, let's discuss relocation as part of your journey to joining us.
What you'll do with us
  • Be the analytical partners that business units rely on. Embed with the teams you support, learn their work deeply and become the person they come to when they need to understand what's happening or decide what to do next.
  • Deep dive the data that drives decisions. Investigate questions that don't have easy answers: why churn is rising in a specific cohort, what is the next best action for a member, etc. You'll frame the question, do the analysis and translate findings into actions.
  • Own the dashboards your business units run on. Build and maintain the dashboards the business units rely on for day-to-day decisions. Set the conventions for what's authoritative vs. exploratory within those teams, in line with the company-wide standards.
  • Handle ad hoc support and questions with judgment. Be the first point of contact when business teams need a quick answer, a pull, or a check on a number. Know which questions deserve a five-minute answer and which deserve a real investigation.

What we're looking for
  • 5+ years of experience in a data-focused role (Data Analyst, Analytics, Data Science, or similar), including time embedded with business teams.
  • Advanced SQL. You can write a complex query without thinking about it and use it to answer the question that was asked, not just the question that was easy to query.
  • Comfort working in a modern data stack (dbt, a cloud warehouse, a BI tool like Sigma, Looker, or Tableau).
  • Strong analytical thinking. You can take an ambiguous business question, frame it, decide what data to look at, and turn the result into a recommendation.
  • A track record of communicating insights clearly to non-technical stakeholders. The best analysis doesn't matter if nobody acts on it.

What will set you apart
  • You're comfortable with Python for analyses that go beyond SQL - statistical work, hypothesis testing, anything that requires more than aggregations.
  • You leverage AI as a force multiplier in your own work. You've developed real instincts for when to lean on it, when to verify, and where it actually accelerates analysis, dashboarding, and communication.
Benefits
  • Health & Wellness: 100% employer-covered medical insurance for employees (75% for dependents), plus dental and vision coverage
  • 401(k): Retirement savings program to support your future
  • Paid Time Off: Dedicated time to reset and recharge plus most federal holidays
  • Parental Leave: Comprehensive leave policy for growing families
  • Meals: Select meals covered throughout the week
  • Fitness: Monthly movement stipend
  • Equity & Career Growth: Early exercise eligibility and a strong focus on professional development
  • Annual Compensation Reviews: Salary and equity refreshes based on performance
  • Boomerang Program: After two years at Range, you can take time away to start your own company. We'll hold your spot for 6 months - and pause your equity vesting, which resumes if you return

Range is proud to be an equal opportunity workplace. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. As a company, we are committed to designing products, building a culture, and supporting a team that reflects the diverse population we serve.

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