Lead Analytics Engineer Jobs
Lead Analytics Engineer jobs are open across fintech, healthtech, e-commerce, and enterprise software, from mid-level to staff and principal, with specializations in data modeling, dbt pipeline architecture, and business intelligence. Find a role that fits below and apply directly.
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About Formlabs:
A 3D printer is one of the most demanding machines you can build.
Lasers, optics, precision motion, thermals, airflow, materials handling, chemistry, sensing, controls, and software all have to work at micron-scale precision, for thousands of layers, with almost no tolerance for error. Making that work reliably is an extraordinary engineering problem.
That's what we do.
At Formlabs, we're building 3D printers that are changing the way things get made. We have the smartest minds across every engineering discipline, and the technology they're building is deployed at more than 50,000 industry leaders worldwide, including Apple, Google, Tesla, New Balance, and NASA.
Your Impact:
As a Revenue Strategy & Analytics Lead, you'll join our Customer Strategy & Analytics team to tackle high-priority business challenges, deliver strategic insights, and optimize revenue performance. This hybrid Boston-based role offers the opportunity to partner with senior leaders across Sales, Marketing, Product, and Operations, directly shaping our go-to-market strategy and driving growth.
The Job:
- Act as the go-to expert for go-to-market data (orders, products, cases).
- Build data pipelines and automated processes to power self-service dashboards for 250+ users.
- Deliver strategic insights to leaders in Sales and Services.
- Partner cross-functionally to operationalize reporting improvements and streamline decision-making.
You:
- 1-5 years of experience in consulting, investment banking, financial analytics, sales/revenue operations, or data analysis.
- Strong proficiency in Excel/Google Sheets and SQL.
- Familiarity with data visualization tools (Tableau, Power BI, Looker Studio, etc.).
- Clear communicator, energized by cross-functional collaboration.
- Detail-oriented, highly organized, with a proactive and action-oriented mindset.
- Quick learner with the ability to adapt and pick up new skills.
Bonus Skills:
- Exposure to Python, dbt, Git/GitHub, Salesforce, or statistical modeling.
Our Benefits & Perks:
- Unlimited 3D printing with any Formlabs material on any Formlabs printer
- An equity program that will let you build wealth through RSUs
- Healthcare coverage (medical, dental, vision) that includes a totally free employee-only plan, effective starting on your first day on the job
- 401K matching with no vesting or tenure requirement
- Generous parental leave (fully paid up to 16 weeks)
- Flexible time off so you can take time when you need it
- Six-week fully paid sabbatical after hitting tenure milestones (with the option to take an additional six weeks after that)
- Free on-site parking & pre-tax commuter benefits
- Free on-site lunch, snacks, beverages, treats, beer kegs, and employee-favorite local coffee and espresso
- Self-driven professional development opportunities like conferences, trade shows, and hackathons
- One-of-a-kind activities and events like monthly socials, the annual weekend summer camp, a can't-miss company hackathon, and lots of other social opportunities
You don't need to check every box to apply for a role. If you love working with hardware, spending time with smart people, solving hard problems, and winning, we want to hear from you.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Our Candidate AI Guidelines are available here. Please give them a read.
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Find Lead Analytics Engineer JobsLead Analytics Engineer Job Market
Who's Hiring
- JPMorganChase15

- ProcDNA11

- Deloitte8

- PNC Financial Services8

- Rosendin Electric7

Top Industries Hiring
- Technology & Software16
- Consulting & Professional Services8
- Healthcare & Medical Services4
- Insurance3
- Automotive2
What Employers Look For
The qualifications that appear most often in lead analytics engineer jobs.
- Five or more years of analytics engineering or data engineering experience
- Expert-level proficiency in dbt for data modeling and transformation workflows
- Hands-on experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift
- Strong SQL skills for complex query writing, performance tuning, and data validation
- Experience defining data modeling standards and mentoring junior analytics engineers
- Ability to translate ambiguous business requirements into well-documented data models
Tips for Your Lead Analytics Engineer Job Search
Tailor your resume to data stack depth
Hiring managers for lead analytics engineer roles scan resumes for specific tools: dbt, Snowflake, Databricks, Looker, Airflow. List the exact version or cloud provider you used and describe the scale of data you worked with, not just the tool name.
Showcase cross-functional project ownership
Lead roles expect you to have driven analytics projects end-to-end, not just executed tickets. Your resume should show you defined requirements, coordinated with stakeholders, and delivered a measurable outcome, not just built a model or wrote a query.
Apply early to roles that fit
Migrate Mate lists lead analytics engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter by tech stack before applying
Lead analytics engineer job descriptions signal the company's data maturity. Roles mentioning dbt Cloud and a modern data warehouse suggest a mature stack. Roles listing legacy tools like SSRS or Informatica may indicate a migration project, which changes what your first year looks like.
Prepare a data modeling walthrough for interviews
Most lead analytics engineer technical interviews include a live modeling exercise or a take-home schema design. Practice explaining your entity-relationship decisions out loud, because interviewers are evaluating your reasoning process as much as your SQL or dbt syntax.
Negotiate scope alongside compensation
At the lead level, role scope varies widely: some positions own the full data layer, others support a single product team. Before accepting an offer, clarify reporting structure, on-call expectations, and whether you'll be building from scratch or maintaining an existing stack.
Lead Analytics Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most lead analytics engineers?
The most active employers for lead analytics engineers right now are JPMorganChase, ProcDNA, and Deloitte, and the most openings are in California, New York, and Texas, based on current listings on Migrate Mate as of November 2026. Demand is highest at companies running modern cloud data stacks with active data product or self-serve analytics initiatives.
How many lead analytics engineer jobs are remote?
About 84% of lead analytics engineer openings are fully remote or hybrid as of November 2026, reflecting strong demand for distributed data teams. Sub-specializations in dbt-centric modeling, semantic layer development, and business intelligence platform ownership tend to have the highest share of fully remote postings.
How do you become a lead analytics engineer?
Start by building a foundation in SQL and a scripting language like Python, then gain hands-on experience with a modern data warehouse and a transformation tool like dbt. Move through individual contributor analytics or data engineering roles, taking on progressively complex modeling work. Demonstrate leadership by owning a data domain end-to-end, documenting standards, and mentoring teammates before pursuing lead-level roles.
Can you get hired as a lead analytics engineer without direct lead experience?
Some companies will hire a strong senior analytics engineer into a lead role if you can show you've functionally led data work without the official title. Build a portfolio that includes a full data model you architected, documentation you wrote for other engineers to follow, and a business outcome you influenced with that work. Targeting companies actively building out their analytics function gives you more room to step into a lead scope early.
What does the lead analytics engineer interview process look like?
Expect a recruiter screen followed by a hiring manager conversation focused on your technical background and cross-functional collaboration style. The technical round typically includes a SQL or dbt modeling exercise, a schema design discussion, and questions about data quality practices. Final rounds often include a stakeholder or business partner interview to assess how you communicate data decisions to non-technical audiences.
Where can I find and apply to lead analytics engineer jobs?
You can find and apply to lead analytics engineer jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your experience and stack, then apply directly to each listing from the job page.
See All 290+ Lead Analytics Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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