Data Analytics Lead Jobs in Texas
Data Analytics Lead jobs in Texas are in strong demand, with active hiring concentrated in financial services, energy, healthcare, and technology sectors and openings at every level from senior analyst stepping into a lead role through director-track positions. Austin, Dallas, and Houston account for the bulk of postings, where established employers such as Dell Technologies, JPMorgan Chase, and ExxonMobil regularly seek data analytics leads. The most in-demand specialties are business intelligence, predictive modeling, and cloud data platform management. Find a role that fits below and apply directly.
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Why Harvey
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started.
Role Overview
You'll be Harvey's founding People Data Analytics Lead — the technical leader for our people analytics function. You'll set the long-term direction for how we measure, model, and act on workforce data: building the data layer from scratch, defining the methodology others work from, and connecting the full employee lifecycle into a single, actionable view of how exceptional talent thrives at Harvey. The goal isn't just reporting — it's helping leaders understand why things are happening across the workforce and intervene before issues scale. This role sits within People Ops, with deep partnership across Total Rewards, Recruiting Ops, PBPs, People Systems, and Finance.
- Build a cohesive view of Harvey's employee lifecycle — connecting recruiting, onboarding, engagement, performance, mobility, retention, and exits into a single, actionable narrative that shows where exceptional talent thrives or breaks down
- Own the vision and roadmap for Harvey's people data infrastructure — partner with Data Engineering and Security to stand up the people data layer in Snowflake (or similar), define architecture requirements, and drive role-based access controls and data governance so the right people have the right access
- Consolidate workforce data across Workday, Ashby, Envoy, Culture Amp, and other HR systems, and build the data quality frameworks that keep it trustworthy at scale
- Define and maintain Harvey's people metrics dictionary — standardize how headcount, attrition, hiring, and workforce trends are measured across the org
- Design the frameworks and methodologies that scale beyond v1 — forecast headcount, model attrition, segment the org, benchmark against market — built to explain not just what is happening but why
- Move People Analytics beyond reporting into intervention — surface leading indicators, manager behaviors, operational friction, and emerging org risks before they become scaled people problems, and help Harvey understand what attracts, enables, retains, and risks losing exceptional talent
- Build dashboards that give leadership clear visibility into the workforce, cuttable by org, region, and function — and shape exec-level decisions with the insights they surface
- Build the self-service foundation that lets partner teams operate independently — design the frameworks, tooling, and documentation so that comp, PBPs, and other partners can surface their own insights without routing every question through analytics
- Drive alignment across PBPs, RecOps, People Systems, and Finance to define reporting cadence and answer the questions that drive strategic people decisions
- Set the bar for people data craft at Harvey — define standards, review work, and grow the analytics capability of partner teams
- Use AI aggressively to automate workflows, accelerate analysis, and scale your impact — this is a role where AI-first thinking compounds fast
What You Have
- 7+ years in people analytics, HR data, or workforce analytics, ideally at a high-growth tech company
- Track record of building people analytics functions, frameworks, or methodologies from scratch — not just executing within an established one
- Strong SQL — you can write complex queries, validate data quality, and collaborate fluently with data engineers on schema design and transformation logic
- Hands-on experience with a cloud data warehouse (Snowflake strongly preferred)
- Experience with at least one data viz tool (Looker, Tableau, Power BI, or similar)
- Direct Workday (HRIS) and ATS experience; you understand how people data is structured in an HRIS and what breaks it
- Experience mentoring or upskilling partner teams on data practices, dashboards, or self-serve reporting
- AI-native workflows — you use AI tools daily, build with them, and use them as force multipliers
- A self-starter attitude and the ability to thrive in ambiguous, fast-paced environments
- Communicates persuasively with executives — frames data into recommendations leaders act on
Compensation
$180,000 - $270,000 USD
Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices here.
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
See All 99 Data Analytics Lead Jobs in Texas
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Find Data Analytics Lead JobsData Analytics Lead Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Data Analytics Lead Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
- Humana9

- Apple6

- Citi6

- Tiger Analytics5

- Bain & Company3

Top Industries Hiring
- Technology & Software33
- Consulting & Professional Services13
- Banking & Financial Services9
- Construction & Real Estate5
- Education5
What Texas Employers Look For
The qualifications that appear most often in data analytics lead jobs across Texas.
- Bachelor's or master's degree in data science, statistics, computer science, or a related field
- Proven experience leading analytics teams or managing end-to-end data projects
- Proficiency in SQL, Python, or R alongside BI tools such as Tableau or Power BI
- Experience with cloud data platforms including AWS, Azure, or Google Cloud
- Strong communication skills translating complex data findings for non-technical stakeholders
- Familiarity with data governance standards and enterprise data warehousing practices
Data Analytics Lead Jobs in Texas: Frequently Asked Questions
How do you become a data analytics lead in Texas?
The typical path starts with a bachelor's degree in data science, statistics, computer science, or a related quantitative field, often followed by a master's for senior roles. Texas does not require a state-issued license for this position. Most Texas employers expect several years of hands-on analytics experience before a lead title, and industry certifications from providers such as Google, Microsoft, or Databricks strengthen applications considerably in competitive Texas markets.
How much do data analytics leads make in Texas?
Data analytics leads in Texas earn a median of about $122,090 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $64,540 for the lowest 10% to over $170,780 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data analytics leads in Texas?
Employers hiring data analytics leads in Texas right now include Humana, Apple, and Citi, based on current listings on Migrate Mate as of June 2026. Texas's concentration of energy corporations, major financial institutions, and fast-growing technology companies means demand for analytics leadership is broad and consistent across industries.
Which Texas cities have the most data analytics lead jobs?
Austin, Dallas, and Irving have the most data analytics lead openings in Texas. Houston's energy and healthcare sectors, Dallas's dense financial services and corporate headquarters cluster, and Austin's expanding technology industry each generate sustained demand, while San Antonio's growing cybersecurity and defense ecosystem also produces a reliable share of openings.
Are there remote data analytics lead jobs in Texas?
Yes, and more than most fields. About 27% of data analytics lead openings tied to Texas are remote or hybrid as of June 2026, reflecting the desk-based and collaborative-tool-driven nature of the work. Strategy, reporting, and stakeholder-facing responsibilities tend to be the most remote-compatible parts of the role, while hands-on data infrastructure work more often requires at least occasional on-site presence.
How can I get hired as a data analytics lead in Texas with little or no experience?
The most realistic entry path is moving up from a data analyst or business intelligence analyst role inside a large Texas employer. Companies such as Dell Technologies, USAA, and major Texas health systems like Baylor Scott and White run rotational analyst programs that feed directly into lead tracks. Building a portfolio of end-to-end projects and earning a recognized platform certification, such as Microsoft Fabric or Google Professional Data Engineer, gives candidates without formal lead experience a concrete edge when applying.
Where can I find and apply to data analytics lead jobs in Texas?
You can find and apply to data analytics lead jobs in Texas on Migrate Mate, which lists current Texas openings across industries and experience levels. Search the available roles, find the ones that fit your background and preferred location, and apply directly to each employer.
See All 99 Data Analytics Lead Jobs in Texas
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