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Data Analyst Startup Jobs in Texas (NOW HIRING)

Data Analyst

Austin, TX · On-site

$70 - $95/hr

Why This Role This is an opportunity to develop a deep understanding of how a startup operates through data. You'll work on defining and interpreting core KPIs, analyzing funnel and product metrics ...

Data Analyst

San Antonio, TX · On-site

$70K - $83K/yr

Description The Data Analyst role is a strong fit for someone who is genuinely curious about the data they work with and enjoys collaborating in a fast-paced, startup-like environment. They enjoy ...

Data Analyst

San Antonio, TX · On-site

$70K - $83K/yr

The Data Analyst role is a strong fit for someone who is genuinely curious about the data they work with and enjoys collaborating in a fast-paced, startup-like environment. They enjoy uncovering the ...

Data Analyst

San Antonio, TX · On-site

$70K - $83K/yr

The Data Analyst role is a strong fit for someone who is genuinely curious about the data they work with and enjoys collaborating in a fast-paced, startup-like environment. They enjoy uncovering the ...

Data Analyst

San Antonio, TX · On-site

$70K - $83K/yr

The Data Analyst role is a strong fit for someone who is genuinely curious about the data they work with and enjoys collaborating in a fast-paced, startup-like environment. They enjoy uncovering the ...

Data Analyst

Austin, TX · On-site

$80 - $100/hr

About The Role We're looking for an Analytics Engineer / Data Analyst to unlock the value of our ... Experience working in a startup or early‑stage data team where you had to build the foundation ...

Gridsight is a rapidly growing GridTech startup dedicated to accelerating global electrification ... The Role As a Customer Data Analyst, you'll turn our utility customers' data into actionable ...

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, Avail

Austin, TX · On-site

$85K - $107K/yr

The Data Science & Analytics team at Realtor.com provides trusted data and insights to optimize ... Built with the spirit of a startup and backed by the scale and stability of a leading digital real ...

Senior Data Analyst, Avail

Austin, TX · On-site

$85K - $107K/yr

The Data Science & Analytics team at Realtor.com provides trusted data and insights to optimize ... Built with the spirit of a startup and backed by the scale and stability of a leading digital real ...

Senior Data Analyst, Avail

Austin, TX · On-site

$100 - $150/hr

The Data Science & Analytics team at Realtor.com provides trusted data and insights to optimize ... Built with the spirit of a startup and backed by the scale and stability of a leading digital real ...

Senior Data Analyst

Houston, TX · Hybrid

$82K - $103K/yr

Data validation / QA automation Should have - important, less urgent * Operations work queue ... Comfort with ambiguity and shifting priorities - we're a startup, and this role will help shape its ...

Senior Data Analyst

Houston, TX · Hybrid

$82K - $103K/yr

Data validation / QA automation Should have - important, less urgent * Operations work queue ... re a startup, and this role will help shape its own scope. Why this role You'll have direct ...

Analyze startup pitch materials, financial data, customer traction, fundraising history, and comparable companies to assess investment attractiveness. * Synthesize internal and external data sources ...

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Data Analyst Startup information

See Texas salary details

$31.7K

$77K

$126.7K

How much do data analyst startup jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data analyst startup in Texas is $76,992.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,400.00 per year, depending on experience, location, and employer.

What is a data analyst startup?

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.

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

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

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

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

What cities in Texas are hiring for Data Analyst Startup jobs?

Cities in Texas with the most Data Analyst Startup job openings:

Infographic showing various Data Analyst Startup job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $76,992 per year, or $37 per hour.

Data Analyst

Austin, TX • On-site

Drive Capital
Investment Clubs and Venture Capital Companies • 11 - 50 employees

$70 - $95/hr

Other

Posted 6 days ago


Job description

About Abode Money

Abode Money is building the financial home for your home. Our mission is simple: Make homeownership more affordable for everyday homeowners. We automate the hard parts of managing and saving on homeownership costs like property taxes, insurance, utilities, and more. Everything in home finance today caters to the transaction, the home buyer or seller, while the homeowner is overlooked. With non‑mortgage costs up over 50% in the past five years, homeowners are struggling more today than ever before.

We have incredible backers, including Core VC, Drive Capital, Sequoia and 81 Collection.

Role

We’re looking for someone who is naturally curious about how products grow and why users behave the way they do. You’ll work closely with the growth team to analyze performance, explore product and funnel data, and help us understand what’s actually driving outcomes. This is a hands‑on role where you’ll contribute directly to decisions that shape the product and growth strategy.

If you enjoy digging into numbers, forming hypotheses, and figuring out what’s really going on beneath the surface, you’ll do well here.

Key Responsibilities
  • Funnel & Product Analysis: Use Mixpanel to explore user behavior across the funnel. Identify where users drop off, what drives conversion, and how product usage connects to growth.
  • Dashboarding & Visualization: Build and iterate on dashboards that make key metrics easy to understand and act on.
  • Exploration & Hypothesis Building: Dig into data to spot patterns, ask questions, and form hypotheses about what’s driving performance.
  • AI‑Integrated Workflows: Use tools like Claude and MCP‑powered workflows to accelerate analysis, generate reports, and experiment with lightweight forecasting.
  • Performance Insights: Surface trends, anomalies, and opportunities in growth and product data, and help translate them into action.
  • Sharing Learnings: Communicate findings clearly—whether that’s a quick insight, a pattern you noticed, or a deeper analysis.
Qualifications
  • Data‑Driven by Default: You naturally look to data to understand how things work and make decisions.
  • Curiosity & First‑Principles Thinking: You’re interested in the “why” behind metrics—user behavior, psychology, and incentives.
  • Self‑Starter: You don’t wait for perfect instructions. You explore, ask questions, and follow threads on your own.
  • AI‑Native Workflow: You’ve used tools like Claude to think through problems, analyze information, or automate parts of your workflow.
  • Technical Comfort: Comfortable working with data and learning new tools quickly; exposure to Mixpanel or similar analytics platforms is a plus.
  • Clear Communicator: You can explain what you’re seeing in a simple, direct way.
Why This Role

This is an opportunity to develop a deep understanding of how a startup operates through data. You’ll work on defining and interpreting core KPIs, analyzing funnel and product metrics, and contributing to decisions that shape growth and product direction. Over time, you’ll build strong intuition for how metrics connect to user behavior and business outcomes.

You’ll have meaningful ownership over your work, operating closely with the team and contributing to decisions that directly impact the trajectory of the company.

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