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Hourly Data Analyst Startup Jobs in Washington (NOW HIRING)

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 ...

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 ...

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 ...

Sr. Data Analyst - Retail Bank

Mclean, VA · On-site

$86K - $109K/yr

Sr. Data Analyst - Retail Bank At Capital One, data is at the center of everything we do ... When we launched as a startup we disrupted the credit card industry by individually personalizing ...

Sr. Data Analyst - Enterprise Risk

Mclean, VA · On-site

$86K - $109K/yr

Sr. Data Analyst - Enterprise Risk At Capital One, data is at the center of everything we do ... When we launched as a startup we disrupted the credit card industry by individually personalizing ...

Showing results 21-40

Hourly Data Analyst Startup information

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 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 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 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 most commonly searched types of Data Analyst Startup jobs in Washington? The most popular types of Data Analyst Startup jobs in Washington are:
What cities in Washington are hiring for Hourly Data Analyst Startup jobs? Cities in Washington with the most Hourly Data Analyst Startup job openings:

Junior Data Analyst - Legis1

Sunwater Capital

North Bethesda, MD • On-site

$65K - $78K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago


Job description

About Legis1
Legis1 is a congressional intelligence platform that goes beyond tracking legislation to reveal who's actually driving it. By combining over 45 years of congressional and lobbying data, we connect bills, lawmakers, staff, lobbyists, and funders into a single networked intelligence system. Spun out of the nonpartisan Sunwater Institute in 2025, Legis1 is built for professionals who need to understand how policy and influence really move through Washington.
In Q3 2026, Legis1 Inc. launched AllCiv, a civic engagement, political data, and citizen-facing media platform that brings this same intelligence to the public through civic technology, transparency tools, and AI-assisted engagement.
POSITION
We're looking for a Junior Data Analyst to join our Data team and support Legis1, our legislative intelligence platform. This role sits at the intersection of politics and data, you'll work closely with the day-to-day integrity of the political data that powers Legis1, while using SQL and modern AI-assisted tools to generate insights for stakeholders across the company.
This is an ideal position for someone who has a genuine passion for politics, government, and how Congress works, and who wants to apply that knowledge in a data-driven role. We are specifically looking for candidates with a political background and hands-on exposure to political data, not generalist data analysts.
RESPONSIBILITIES
  • Collect, maintain, and monitor Legis1 data to ensure accuracy and completeness
  • Use SQL and AI-assisted tools (e.g., Claude Code) to query databases and generate reports that support internal stakeholders across product, data, sales, and marketing teams
  • Research new potential data sources and develop a solid understanding of the underlying legislative/political subject matter
  • Build data ingestion pipelines and scrapers
  • Own day-to-day quality control of the data on Legis1
  • Identify, investigate, and resolve data quality-related bugs
  • Collaborate cross-functionally to translate data findings into actionable insights

REQUIRED EXPERIENCE
  • A deep understanding of U.S. politics and how Congress operates (legislative process, committees, bill tracking, etc.)
  • Hands-on experience working with political data - whether through academic coursework, internships, research projects, campaigns, or prior work experience
  • A basic understanding of SQL, with the ability to write and troubleshoot queries
  • Exposure to or interest in using LLM tools (such as Claude Code or Codex) to assist with data analysis and reporting
  • Strong attention to detail and a quality-first mindset when it comes to data accuracy
  • Curiosity and initiative to research and evaluate new data sources independently
  • Excellent written and verbal communication skills to work with both technical and non-technical stakeholders

PREFERRED EXPEREINCE
  • Prior experience with legislative tracking tools or government data platforms
  • Prior experience with voter file data or software
  • Familiarity with data visualization or reporting tools
  • Experience working in a fast-paced startup or SaaS environment

$65,000 - $78,000 a year
Benefits: Paid comprehensive health insurance (including dental and vision), 401(k) with company matching, and generous paid time off.
#Legis1
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.