Data Analytics Lead Jobs
Data analytics lead jobs are open across finance, healthcare, retail, and technology, from mid-level analyst to senior lead and director, with specializations in business intelligence, data engineering, and predictive modeling. Find a role that fits from the openings below and apply directly.
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Work You'll Do
As an Analytics and Insights Engineer III on the Cyber and Strategic Risk team, you will be responsible for:
You will support operational technology (OT) cybersecurity missions by developing and sustaining data products that improve cyber threat detection and response. This role focuses on OT cyber analytics, machine learning model development, and data engineering across on-premises and cloud-connected environments. You will serve as the project's primary data science resource and collaborate with delivery, security operations, cloud, and program stakeholders to advance analytic capabilities. The role is differentiated by its ownership of machine learning development and its contribution to OT cyber analytics innovation.
- Develop and sustain OT cyber data ontologies to support analytics, detection, and reporting use cases
- Build, train, test, and maintain machine learning models for OT cyber threat and attack detection
- Design and maintain data pipelines that move sensor and telemetry data from on-premises environments to cloud platforms
- Analyze cyber data to identify patterns, anomalies, and indicators that support security operations and mission objectives
- Collaborate with technical leads, delivery teams, security operations center stakeholders, cloud/data teams, and program management counterparts to implement scalable analytics solutions
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The Team
Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
Our Enterprise Security offering embeds security in all aspects of digital transformation by securing a client's technical backbone while enabling secure digital transformation. Includes security architecture, secure development and deployment, end-to-end cyber cloud capabilities, application security, and security for emerging technologies and connected products.
Qualifications
Required:
- Bachelor's degree
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
- Active Secret security clearance required
- Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve
- 5+ years of experience with:
- Data Modeling
- JIRA
- Machine Learning
- Python
- SQL
Data Analytics Lead Jobs by Experience Level
Top Cities Hiring Data Analytics Leads
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Find Data Analytics Lead JobsData Analytics Lead Job Market
Who's Hiring
- JPMorganChase48

- CVS Health29

- Amazon Web Services21

- Capital One20

- Information Technology Senior Management Forum20
Top Industries Hiring
- Technology & Software72
- Consulting & Professional Services32
- Banking & Financial Services28
- Education20
- Investment & Asset Management20
What Employers Look For
The qualifications that appear most often in data analytics lead jobs.
- 5+ years of experience in data analytics or business intelligence roles
- Advanced proficiency in SQL and at least one scripting language such as Python or R
- Experience with BI tools such as Tableau, Looker, or Power BI
- Demonstrated ability to lead or mentor a team of analysts
- Bachelor's degree in statistics, computer science, mathematics, or a related field
- Experience with cloud data platforms such as Snowflake, BigQuery, or Redshift
Tips for Your Data Analytics Lead Job Search
Quantify impact on your resume
Data analytics lead roles expect measurable outcomes, not just responsibilities. Replace vague bullets with results: how much your models reduced churn, improved forecast accuracy, or cut reporting time. Hiring managers scan for numbers that prove your work moved a business metric.
Show your cross-functional leadership experience
Lead-level analytics roles are evaluated as much on stakeholder management as on technical skill. Highlight projects where you translated data findings for non-technical audiences, influenced product or finance decisions, or mentored junior analysts. That distinction separates lead candidates from senior individual contributors.
Target openings by your tool stack first
Filter your job search by the tools you know deepest, whether that's SQL, Python, dbt, Looker, Tableau, or Spark. Leads hired into a mismatched stack spend months catching up instead of delivering. Matching on tooling shortens your ramp and strengthens your interview answers.
Apply early to roles that fit
Migrate Mate lists data analytics lead openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a technical case for your interview
Data analytics lead interviews often include a take-home or live case study requiring you to scope an analytics problem, choose a methodology, and present findings. Practice walking through your reasoning out loud, not just your code. Interviewers are evaluating how you frame ambiguity, not just whether your query runs.
Negotiate scope, not just compensation
When you reach the offer stage, clarify team size, data infrastructure maturity, and whether the role has budget authority before accepting. A lead title at a company with no data engineering support can mean rebuilding pipelines solo rather than leading strategy, which affects your growth trajectory significantly.
Data Analytics Lead Jobs: Frequently Asked Questions
Which companies are hiring the most data analytics leads?
The companies hiring the most data analytics leads right now include JPMorganChase, CVS Health, and Amazon Web Services, with the largest share of openings in California, New York, and Texas, based on current listings on Migrate Mate as of August 2026. Demand is consistently high in financial services, healthcare systems, and large technology companies that operate data-driven product teams.
How many data analytics lead jobs are remote?
About 63% of data analytics lead openings are fully remote or hybrid as of August 2026, reflecting sustained demand for distributed analytics leadership. Roles focused on self-service reporting, data strategy, and cross-functional stakeholder work tend to be the most remote-friendly, while positions that require close coordination with engineering or data infrastructure teams are more likely to require on-site presence.
How do you become a data analytics lead?
Start by building strong SQL and data visualization skills in an analyst or senior analyst role, then take on projects that involve stakeholder communication and mentoring. Seek out opportunities to own an analytics workstream end to end. Demonstrating that you can translate data into business decisions, not just produce reports, is what moves you from contributor to lead.
Can you get hired as a data analytics lead with limited leadership experience?
You can move into a data analytics lead role without a prior leadership title if you can show informal leadership in your portfolio. Highlight instances where you defined the analytics approach for a project, guided a junior colleague, or presented findings directly to a director or executive. Companies hiring their first analytics lead often prioritize technical depth and business judgment over a management title.
What does the data analytics lead interview process look like?
The process typically starts with a recruiter screen focused on your background and the team's goals, followed by a hiring manager conversation about your analytics approach and past impact. A technical round tests SQL, data modeling, or a case study where you diagnose a business problem using data. Final rounds often include a presentation to cross-functional stakeholders evaluating how you communicate findings and handle pushback on your conclusions.
Where can I find and apply to data analytics lead jobs?
You can find and apply to data analytics lead jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your experience and specialization, then apply directly to each one that fits.
See All 1,339+ Data Analytics Lead Jobs
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