Analytics Manager Jobs
Analytics Manager jobs are open across technology, retail, financial services, healthcare, and media, from associate to director level, with specializations in product analytics, marketing analytics, and data governance. Find a role that fits from the openings below and apply directly.
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Showing 5 of 1,060+ Analytics Manager jobs
Depends on Qualifications
Remote
Full-Time
Remote Optional
00989
Product
General
10/30/2026
About
We’re seeking a Product Manager, Analytics & Reporting to drive the strategy, adoption, and continuous evolution of NEOGOV’s core data intelligence capabilities. In this role, you will lead cross-functional alignment between Product, Design, and Engineering to deliver dashboards, advanced analytics, and AI-driven insights that empower public sector decision-makers.
You’ll leverage your deep expertise with modern data platforms — including Looker, Snowflake, data lakes, and generative AI features — to build scalable analytics tools and transform complex data into actionable workforce insights.
As the PM over the A&R platform and products you will act as the bridge between internal product managers, and their end customers, negotiating with R&D, to deliver against a roadmap and strategy while adjusting to market needs.
What You Will do
Analytics & Data Product Strategy
- Define and execute the multi-year roadmap for NEOGOV’s Analytics and Reporting platform, leveraging Looker and Snowflake built on top of an enterprise data lake infrastructure.
- Identify and deliver AI-powered capabilities (such as natural language querying, automated anomaly detection, and predictive reporting) to make data insights effortless for non-technical users.
- Maintain data governance, intake standards, and SLA guidelines to support embedded analytics across internal product suites and external customers.
- Assist in migration from old tooling to the new A&R architecture
- Looker & BI Integration: Oversee Looker LookML model definitions, dashboard templates, embedded analytics, and self-service BI user experiences across NEOGOV products.
- Snowflake & Data Lake Infrastructure: Partner with Data Engineering to optimize data modeling, ELT/ETL pipelines, data warehousing in Snowflake, and query performance over cloud data lakes.
- AI Feature Innovation: Collaborate with Data Science and Engineering to integrate LLMs, smart summaries, and predictive algorithms into reporting workflows.
- Data Security & Compliance: Ensure all analytics and AI capabilities maintain strict public-sector compliance, row-level security, and data privacy standards.
- Systems Thinking: The ability to map out how a single platform change impacts multiple downstream applications.
- Technical Communication: Excellent capability to translate complex engineering constraints into plain language and vice versa.
- Drive alignment across Product, UX, and Engineering to increase analytics adoption and create a data-driven culture across subscribing applications.
- Track key operational and product metrics, including query response performance, AI feature usage, dashboard engagement, and customer satisfaction.
- Support product discovery, definition, and execution for key enterprise Platform initiatives and features.
- Work cross-functionally with Design, Engineering, Customer Success, and Sales to deliver seamless, high-quality releases.
- Enable internal and external customers to successfully use delivered features.
- Track metrics and KPIs for feature adoption, configurability, and customer satisfaction.
- Gather feedback from sales, customer CAB meetings and internal product resources to build a feature roadmap.
Who You Are
- 5+ years of Product Management experience in SaaS organizations, specifically focused on data analytics, business intelligence, or data infrastructure platforms.
- Hands-on experience with Looker (LookML), Snowflake data warehousing, and cloud data lakes (AWS/S3, Azure Blob, or GCP).
- Proven experience shipping AI/ML features into enterprise software products, such as natural language querying, automated insights, or predictive modeling.
- Proven ability to influence cross-functional stakeholders across Product, UX Design, Engineering, and QA without direct authority.
- Ability to interview, absorb information, and turn it into user stories and acceptance criteria with samples and prototypes for development and QA.
- Ability to collaborate with a scrum team to deliver features that provide value, are documented, and enable downstream teams to use those features.
- Data & AI Impact: Build the data foundation and AI capabilities that power critical decision-making across the entire NEOGOV suite.
- Growth & Impact: Support innovation for large-scale organizations and mission-critical systems.
- Collaborative Culture: Partner with talented teams across the suite to deliver unified experiences.
- Purpose-Driven Work: Build technology that empowers public agencies to serve communities better.
Depends on Qualifications
Remote
Full-Time
Remote Optional
00989
Product
General
10/30/2026
About
We’re seeking a Product Manager, Analytics & Reporting to drive the strategy, adoption, and continuous evolution of NEOGOV’s core data intelligence capabilities. In this role, you will lead cross-functional alignment between Product, Design, and Engineering to deliver dashboards, advanced analytics, and AI-driven insights that empower public sector decision-makers.
You’ll leverage your deep expertise with modern data platforms — including Looker, Snowflake, data lakes, and generative AI features — to build scalable analytics tools and transform complex data into actionable workforce insights.
As the PM over the A&R platform and products you will act as the bridge between internal product managers, and their end customers, negotiating with R&D, to deliver against a roadmap and strategy while adjusting to market needs.
What You Will do
Analytics & Data Product Strategy
- Define and execute the multi-year roadmap for NEOGOV’s Analytics and Reporting platform, leveraging Looker and Snowflake built on top of an enterprise data lake infrastructure.
- Identify and deliver AI-powered capabilities (such as natural language querying, automated anomaly detection, and predictive reporting) to make data insights effortless for non-technical users.
- Maintain data governance, intake standards, and SLA guidelines to support embedded analytics across internal product suites and external customers.
- Assist in migration from old tooling to the new A&R architecture
- Looker & BI Integration: Oversee Looker LookML model definitions, dashboard templates, embedded analytics, and self-service BI user experiences across NEOGOV products.
- Snowflake & Data Lake Infrastructure: Partner with Data Engineering to optimize data modeling, ELT/ETL pipelines, data warehousing in Snowflake, and query performance over cloud data lakes.
- AI Feature Innovation: Collaborate with Data Science and Engineering to integrate LLMs, smart summaries, and predictive algorithms into reporting workflows.
- Data Security & Compliance: Ensure all analytics and AI capabilities maintain strict public-sector compliance, row-level security, and data privacy standards.
- Systems Thinking: The ability to map out how a single platform change impacts multiple downstream applications.
- Technical Communication: Excellent capability to translate complex engineering constraints into plain language and vice versa.
- Drive alignment across Product, UX, and Engineering to increase analytics adoption and create a data-driven culture across subscribing applications.
- Track key operational and product metrics, including query response performance, AI feature usage, dashboard engagement, and customer satisfaction.
- Support product discovery, definition, and execution for key enterprise Platform initiatives and features.
- Work cross-functionally with Design, Engineering, Customer Success, and Sales to deliver seamless, high-quality releases.
- Enable internal and external customers to successfully use delivered features.
- Track metrics and KPIs for feature adoption, configurability, and customer satisfaction.
- Gather feedback from sales, customer CAB meetings and internal product resources to build a feature roadmap.
Who You Are
- 5+ years of Product Management experience in SaaS organizations, specifically focused on data analytics, business intelligence, or data infrastructure platforms.
- Hands-on experience with Looker (LookML), Snowflake data warehousing, and cloud data lakes (AWS/S3, Azure Blob, or GCP).
- Proven experience shipping AI/ML features into enterprise software products, such as natural language querying, automated insights, or predictive modeling.
- Proven ability to influence cross-functional stakeholders across Product, UX Design, Engineering, and QA without direct authority.
- Ability to interview, absorb information, and turn it into user stories and acceptance criteria with samples and prototypes for development and QA.
- Ability to collaborate with a scrum team to deliver features that provide value, are documented, and enable downstream teams to use those features.
- Data & AI Impact: Build the data foundation and AI capabilities that power critical decision-making across the entire NEOGOV suite.
- Growth & Impact: Support innovation for large-scale organizations and mission-critical systems.
- Collaborative Culture: Partner with talented teams across the suite to deliver unified experiences.
- Purpose-Driven Work: Build technology that empowers public agencies to serve communities better.
Analytics Manager Jobs by Experience Level
Top Cities Hiring Analytics Managers
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Find Analytics Manager JobsAnalytics Manager Job Market
Who's Hiring
- Amazon23
- Walmart20
- Capital One19
- JPMorganChase19
- Meta17
Top Industries Hiring
- Technology & Software36
- Banking & Financial Services12
- Retail10
- Consulting & Professional Services10
- Healthcare & Medical Services6
What Employers Look For
The qualifications that appear most often in analytics manager jobs.
- 5 or more years of experience in analytics, data science, or a related quantitative field
- Proficiency in SQL and at least one BI tool such as Tableau, Power BI, or Looker
- Experience managing or mentoring a team of analysts or data professionals
- Ability to translate data findings into business recommendations for non-technical stakeholders
- Bachelor's degree in statistics, mathematics, computer science, economics, or a related discipline
- Familiarity with Python or R for data manipulation and exploratory analysis
Tips for Your Analytics Manager Job Search
Quantify impact beyond reporting metrics
Analytics managers are evaluated on business outcomes, not dashboard counts. Rewrite each bullet on your resume to show a decision you influenced or a revenue or cost outcome your analysis drove, not just the tools you used.
Tailor your resume to the analytics stack
Job listings for analytics managers vary widely between SQL-heavy, Python-first, and BI-tool-centric shops. Mirror the stack named in each posting so your resume clears automated screening before a recruiter reads a word.
Apply early to roles that fit
Migrate Mate lists analytics manager openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target companies at the right analytics maturity
A company building its first data team needs someone who can set up infrastructure and define KPIs. A mature analytics org needs a manager who can scale processes and coach analysts. Read the job description for which problem they're actually hiring to solve.
Prepare a stakeholder communication example
Interviewers consistently ask analytics manager candidates to walk through a time they translated a complex finding for a non-technical audience. Have a specific story ready that shows how your framing changed a decision, not just how you explained a chart.
Negotiate scope before you negotiate salary
In analytics manager roles, team size, data infrastructure ownership, and reporting lines vary enormously across titles. Clarify what you'd own and what decisions you'd make unilaterally before the compensation conversation, so your number reflects the actual scope.
Analytics Manager Jobs: Frequently Asked Questions
Which companies are hiring the most analytics managers?
The companies hiring the most analytics managers right now include Amazon, Walmart, and Capital One, with the largest share of openings in California, Texas, and New York, based on current listings on Migrate Mate as of November 2026. Demand is concentrated in technology, financial services, and retail, where analytics functions are large and growing.
How many analytics manager jobs are remote?
About 78% of analytics manager openings are fully remote or hybrid as of November 2026, making it one of the more flexible management roles in the data space. Sub-areas like marketing analytics and product analytics tend to have the highest share of remote arrangements, while operations and supply chain analytics roles more often require on-site presence.
How do you become an analytics manager?
Start by building three to five years of hands-on analytics experience where you own a reporting area end to end. Then seek out informal leadership opportunities, such as mentoring junior analysts or leading a cross-functional project, so you can demonstrate management readiness. Pairing that experience with strong business communication skills is what distinguishes candidates who get hired into manager roles from those who stay in individual contributor positions.
Can you get an analytics manager job with little experience?
You can move into an analytics manager role without a long management history if you frame your individual contributor work around leadership signals. Highlight projects where you defined the analytical approach for a team, presented findings directly to senior stakeholders, or trained others on a tool or methodology. Some smaller companies and startups hire their first analytics manager from within, so internal promotion is a realistic path even early in a career.
What does the analytics manager interview process look like?
The process typically runs across four stages. A recruiter screen covers background and role fit, followed by a hiring manager conversation focused on leadership style and analytical philosophy. A technical round tests SQL, data interpretation, or a take-home case study. The final stage is usually a panel with cross-functional stakeholders who assess communication skills and how you'd partner with product, finance, or marketing teams.
Where can I find and apply to analytics manager jobs?
You can find and apply to analytics manager jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your background, level, and preferred location or remote arrangement, then apply directly to each one that fits.
See All 1,060+ Analytics Manager Jobs
Find roles that match your experience and apply in just a few clicks.
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