Staff Analytics Engineer Jobs
Staff Analytics Engineer jobs are open across technology, finance, healthcare, and retail, from senior-level to staff and principal, with specializations in data modeling, dbt-based transformation, and analytics infrastructure. Scan the live roles below and apply to whichever ones fit.
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MediaAlpha is a customer acquisition solutions provider powered by technology and data science. The company provides industry-leading solutions designed to reach consumers shopping within high-consideration categories such as property and casualty insurance, health insurance, life insurance, and more.
Senior Staff Product Manager, Analytics
MediaAlpha is a customer acquisition solutions provider powered by technology and data science. The company provides industry-leading solutions designed to reach consumers shopping within high-consideration categories such as property and casualty insurance, health insurance, life insurance, and more.
Location: Los Angeles | Hybrid (3 days per week in office).
Role Overview
This role owns the vision, strategy, and business outcomes for how MediaAlpha turns its analytics and data science into products. Our Analytics team builds the models, signals, and optimization behind the MediaAlpha Marketplace.
You'll set the long-term direction for a family of intelligence products for advertisers, publishers, and agents, spanning bidding, predictive signals, performance guarantees, and partner-facing reporting and forecasting. You'll define how proven analytics work becomes a product, and you'll be fully accountable for the outcomes those products produce.
The core challenge: build a repeatable path from research to revenue. Analytics owns its models and roadmap. You'll own the moment proven work becomes a product, and everything after: whether it should be a product at all, who it's for, how it's packaged and priced, and how account teams take it to market. You'll balance one-off requests from large partners against the discipline of standard products, consistent rules, and claims we've actually measured, and you'll make sure every product strengthens our marketplace.
This is an individual contributor role. You'll partner closely with analytics and data science, engineering, product marketing, finance, legal and privacy, and our advertiser, publisher, and agent account management teams. You'll also mentor other product managers across the organization, raising the bar for data-product thinking, commercial judgment, and product craft.
Responsibilities
- Own the vision, strategy, and multi-year roadmap for MediaAlpha's analytics products, translating analytics capabilities, partner needs, marketplace dynamics, and business goals into a clear long-term direction and prioritized roadmap.
- Be accountable for business outcomes by defining and measuring per-partner impact, including revenue from analytics products, marketplace margin, partner retention and growth.
- Own the path from research to launch: define what "ready" means for an analytics capability, accept handoffs from Analytics, and decide whether each one becomes a product.
- Define the partner problem each product solves and which advertisers, publishers, or agents it fits, and own its packaging, naming, and positioning within a single product family.
- Partner with finance and business leaders on pricing and commercial terms, including how products are offered across different marketplace and deal structures.
- Design pilots with account managers, including partner selection, goals, and success criteria set up front.
- Translate analytics work into product terms and partner needs into clear requests for Analytics, helping data scientists think about who a product is for and what it's worth to them.
- Ensure product requirements give engineering clear context for building analytics into the Exchange, partner dashboards, reports, and tools.
- Build launch kits and playbooks and train account managers to sell with them.
- Leverage advanced AI tools to accelerate strategy development, requirement definition, and rapid prototyping across the product lifecycle.
- Mentor other product managers and elevate product craft, strategic thinking, and execution standards across the team.
- Communicate product strategy, progress, and trade-offs to senior leadership and executive stakeholders.
Requirements
- 10+ years of product management experience, with at least 3 years at the Staff level or above.
- Proven ownership of product vision, strategy, and measurable business outcomes for data, analytics, or machine learning-powered products, ideally sold to enterprise customers.
- Strong data-product instincts: you're fluent in experimentation and lift measurement (A/B tests, holdouts, incrementality), understand what a model can and can't do, and can reason about auction and marketplace economics with data scientists and engineers.
- Strong commercial judgment: you can size an opportunity, frame a pricing decision, and focus on strengthening the platform.
- Experience designing cross-team operating models, with clear handoffs, decision rights, and exception processes that hold up at scale.
- Excellent written and verbal communication; you can explain a model in one sentence to a partner and defend the strategy behind it to an executive.
- Positive, can-do attitude and willingness to work in a fast-moving environment, rolling up your sleeves to get things done.
Nice to Have
We value strong, general PM craft over specific domain familiarity. However, let us know if you have experience in any of these areas/fields:
- Ad-tech, performance marketing, or programmatic advertising, especially in marketplaces or exchanges.
- Real-time bidding (RTB), bid optimization, or managed and automated bidding products.
- Predictive modeling, forecasting, or decision-science products sold to external customers.
- Track record of taking models, signals, or data science research from prototype to commercial product, including packaging, pricing, and launch.
- Performance guarantees or outcome-based pricing.
- Publisher or supply-side yield optimization.
- Lead generation, call marketplaces, or click-based performance products.
- Insurance, personal finance, or Medicare verticals.
- AI assistants or conversational commerce as a customer acquisition channel.
- A background in data science, analytics, or economics before moving into product.
Compensation & Benefits
We are excited to offer a competitive base pay range of $180,000 - $210,000 per year for this position, based on experience and qualifications. But that's not all - as a valued member of our team, you will also have access to an array of top-notch benefits, including:
- Annual bonus program and participation in our Restricted Stock Unit program
- 100% Employer-paid health, dental, and vision insurance for you, your dependents, and spouse or registered domestic partner
- 100% employer-paid long-term disability and life insurance
- 401(k) retirement plan with matching contributions to help you plan for your future
- Open Paid Time Off policy with a birthday day off, 13 holidays, and 5 Recharge days
- Professional development reimbursement
- Cell Phone, Wellness, and Internet expense reimbursement, along with a subscription to the Calm App
- 100% fully paid parental leave for team members up to 22 weeks for the primary caregiver and 12 weeks for the secondary caregiver
- Dog-friendly offices (LA and AZ) along with a $300 pet adoption reimbursement
Diversity, Equity, and Inclusion
MediaAlpha is committed to fostering, cultivating, and maintaining a culture of diversity, equity, and inclusion. Our philosophy and actions are built on the premise that as an employer and citizens of our communities, we can create opportunities for lasting change.
Fair Chance
MediaAlpha will consider qualified applicants, including those with criminal histories, in a manner consistent with state and local "Fair Chance" laws. We are also committed to providing reasonable accommodations for qualified applicants with disabilities and disabled veterans in our application process. If you need assistance or an accommodation due to a disability, please contact us at peopleops@mediaalpha.com or (213) 316-6256.
MediaAlpha is a customer acquisition solutions provider powered by technology and data science. The company provides industry-leading solutions designed to reach consumers shopping within high-consideration categories such as property and casualty insurance, health insurance, life insurance, and more.
Senior Staff Product Manager, Analytics
MediaAlpha is a customer acquisition solutions provider powered by technology and data science. The company provides industry-leading solutions designed to reach consumers shopping within high-consideration categories such as property and casualty insurance, health insurance, life insurance, and more.
Location: Los Angeles | Hybrid (3 days per week in office).
Role Overview
This role owns the vision, strategy, and business outcomes for how MediaAlpha turns its analytics and data science into products. Our Analytics team builds the models, signals, and optimization behind the MediaAlpha Marketplace.
You'll set the long-term direction for a family of intelligence products for advertisers, publishers, and agents, spanning bidding, predictive signals, performance guarantees, and partner-facing reporting and forecasting. You'll define how proven analytics work becomes a product, and you'll be fully accountable for the outcomes those products produce.
The core challenge: build a repeatable path from research to revenue. Analytics owns its models and roadmap. You'll own the moment proven work becomes a product, and everything after: whether it should be a product at all, who it's for, how it's packaged and priced, and how account teams take it to market. You'll balance one-off requests from large partners against the discipline of standard products, consistent rules, and claims we've actually measured, and you'll make sure every product strengthens our marketplace.
This is an individual contributor role. You'll partner closely with analytics and data science, engineering, product marketing, finance, legal and privacy, and our advertiser, publisher, and agent account management teams. You'll also mentor other product managers across the organization, raising the bar for data-product thinking, commercial judgment, and product craft.
Responsibilities
- Own the vision, strategy, and multi-year roadmap for MediaAlpha's analytics products, translating analytics capabilities, partner needs, marketplace dynamics, and business goals into a clear long-term direction and prioritized roadmap.
- Be accountable for business outcomes by defining and measuring per-partner impact, including revenue from analytics products, marketplace margin, partner retention and growth.
- Own the path from research to launch: define what "ready" means for an analytics capability, accept handoffs from Analytics, and decide whether each one becomes a product.
- Define the partner problem each product solves and which advertisers, publishers, or agents it fits, and own its packaging, naming, and positioning within a single product family.
- Partner with finance and business leaders on pricing and commercial terms, including how products are offered across different marketplace and deal structures.
- Design pilots with account managers, including partner selection, goals, and success criteria set up front.
- Translate analytics work into product terms and partner needs into clear requests for Analytics, helping data scientists think about who a product is for and what it's worth to them.
- Ensure product requirements give engineering clear context for building analytics into the Exchange, partner dashboards, reports, and tools.
- Build launch kits and playbooks and train account managers to sell with them.
- Leverage advanced AI tools to accelerate strategy development, requirement definition, and rapid prototyping across the product lifecycle.
- Mentor other product managers and elevate product craft, strategic thinking, and execution standards across the team.
- Communicate product strategy, progress, and trade-offs to senior leadership and executive stakeholders.
Requirements
- 10+ years of product management experience, with at least 3 years at the Staff level or above.
- Proven ownership of product vision, strategy, and measurable business outcomes for data, analytics, or machine learning-powered products, ideally sold to enterprise customers.
- Strong data-product instincts: you're fluent in experimentation and lift measurement (A/B tests, holdouts, incrementality), understand what a model can and can't do, and can reason about auction and marketplace economics with data scientists and engineers.
- Strong commercial judgment: you can size an opportunity, frame a pricing decision, and focus on strengthening the platform.
- Experience designing cross-team operating models, with clear handoffs, decision rights, and exception processes that hold up at scale.
- Excellent written and verbal communication; you can explain a model in one sentence to a partner and defend the strategy behind it to an executive.
- Positive, can-do attitude and willingness to work in a fast-moving environment, rolling up your sleeves to get things done.
Nice to Have
We value strong, general PM craft over specific domain familiarity. However, let us know if you have experience in any of these areas/fields:
- Ad-tech, performance marketing, or programmatic advertising, especially in marketplaces or exchanges.
- Real-time bidding (RTB), bid optimization, or managed and automated bidding products.
- Predictive modeling, forecasting, or decision-science products sold to external customers.
- Track record of taking models, signals, or data science research from prototype to commercial product, including packaging, pricing, and launch.
- Performance guarantees or outcome-based pricing.
- Publisher or supply-side yield optimization.
- Lead generation, call marketplaces, or click-based performance products.
- Insurance, personal finance, or Medicare verticals.
- AI assistants or conversational commerce as a customer acquisition channel.
- A background in data science, analytics, or economics before moving into product.
Compensation & Benefits
We are excited to offer a competitive base pay range of $180,000 - $210,000 per year for this position, based on experience and qualifications. But that's not all - as a valued member of our team, you will also have access to an array of top-notch benefits, including:
- Annual bonus program and participation in our Restricted Stock Unit program
- 100% Employer-paid health, dental, and vision insurance for you, your dependents, and spouse or registered domestic partner
- 100% employer-paid long-term disability and life insurance
- 401(k) retirement plan with matching contributions to help you plan for your future
- Open Paid Time Off policy with a birthday day off, 13 holidays, and 5 Recharge days
- Professional development reimbursement
- Cell Phone, Wellness, and Internet expense reimbursement, along with a subscription to the Calm App
- 100% fully paid parental leave for team members up to 22 weeks for the primary caregiver and 12 weeks for the secondary caregiver
- Dog-friendly offices (LA and AZ) along with a $300 pet adoption reimbursement
Diversity, Equity, and Inclusion
MediaAlpha is committed to fostering, cultivating, and maintaining a culture of diversity, equity, and inclusion. Our philosophy and actions are built on the premise that as an employer and citizens of our communities, we can create opportunities for lasting change.
Fair Chance
MediaAlpha will consider qualified applicants, including those with criminal histories, in a manner consistent with state and local "Fair Chance" laws. We are also committed to providing reasonable accommodations for qualified applicants with disabilities and disabled veterans in our application process. If you need assistance or an accommodation due to a disability, please contact us at peopleops@mediaalpha.com or (213) 316-6256.
Staff Analytics Engineer Jobs by Experience Level
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Find Staff Analytics Engineer JobsStaff Analytics Engineer Job Market
Who's Hiring
Top Industries Hiring
- Energy
- Retail
- Manufacturing
- Technology & Software
What Employers Look For
The qualifications that appear most often in staff analytics engineer jobs.
- Five or more years of analytics or data engineering experience, including staff-level scope
- Advanced proficiency in SQL and at least one transformation framework such as dbt
- Experience designing and maintaining dimensional models or semantic layers at scale
- Proficiency with a cloud data warehouse such as Snowflake, BigQuery, or Redshift
- Demonstrated ability to lead cross-functional data projects and mentor junior engineers
- Bachelor's degree in computer science, statistics, mathematics, or a related technical field
Tips for Your Staff Analytics Engineer Job Search
Tailor your resume to dbt and modeling depth
Staff-level postings consistently screen for hands-on dbt experience, semantic layer design, and data model governance. Quantify the scale of models you've owned, the number of contributors on your team, and the downstream consumers your work supported.
Show ownership, not just contribution
Hiring managers at the staff level expect candidates who have driven architectural decisions, not just executed tickets. Reframe every bullet on your resume around the problem you scoped, the tradeoff you resolved, and the outcome your team shipped.
Filter openings by data stack, not just title
Staff analytics engineer roles vary widely by stack. Search for the specific tools in your background, such as Snowflake, BigQuery, or Databricks, alongside the title so you surface roles where your experience transfers directly and your ramp time is minimal.
Apply early to roles that fit
Migrate Mate lists staff analytics engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a system design answer for the loop
Most staff-level interviews include a data modeling or analytics infrastructure design round. Practice walking through a dimensional model or metrics layer design out loud, explaining your tradeoffs for grain, slowly changing dimensions, and downstream BI tool compatibility.
Negotiate scope alongside compensation
At the staff level, your mandate, the size of the team you influence, and the systems you own matter as much as base pay. During offer conversations, ask directly about the roadmap you'd inherit, the cross-functional partners you'd work with, and what success looks like in the first six months.
Staff Analytics Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most staff analytics engineers?
The most active employers for staff analytics engineers right now are Intuit, ServiceNow, and Sony Interactive Entertainment, and the most openings are in California, Massachusetts, and Texas, based on current listings on Migrate Mate as of November 2026. Technology, fintech, and healthcare companies tend to post staff-level roles most consistently year-round.
How many staff analytics engineer jobs are remote?
About 70% of staff analytics engineer openings are fully remote or hybrid as of November 2026, reflecting the distributed nature of modern data teams. Roles focused on analytics infrastructure, dbt modeling, and semantic layer ownership tend to be the most remote-friendly, while positions requiring close collaboration with embedded business teams more often ask for in-office presence.
How do you become a staff analytics engineer?
Start by building deep SQL and data modeling skills in a junior analytics or data engineering role, then take ownership of a critical model or pipeline rather than contributing to one someone else scoped. Progress toward staff level by leading a cross-functional data project, defining modeling standards your team adopts, and mentoring at least one other engineer through a full delivery cycle.
Can you get hired as a staff analytics engineer without prior staff-level experience?
Yes, if you can demonstrate staff-level impact even without the title. Hiring managers look for candidates who have independently scoped and shipped a data system, influenced architectural decisions across teams, or established modeling standards that others follow. Documenting those contributions clearly on your resume and in interviews matters more than whether your previous employer called you a staff engineer.
What does the staff analytics engineer interview process look like?
Most processes include a recruiter screen, a technical phone interview covering SQL and data modeling, a take-home or live system design exercise where you design a metrics layer or dimensional model, and a final loop with engineering, product, and data leadership. Expect at least one conversation focused on how you've led technical direction or resolved cross-team tradeoffs rather than just solved a coding problem.
Where can I find and apply to staff analytics engineer jobs?
You can find and apply to staff analytics engineer jobs on Migrate Mate, which lists current openings from across the United States. Search for roles that match your stack and experience level, then apply directly to each listing that fits.
See All 45 Staff Analytics Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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