Mid Level Analytics Lead Jobs
Mid level analytics lead jobs go to professionals ready to own analytical workstreams end to end, translate data into decisions with limited oversight, and mentor junior analysts on growing teams. Openings are split across on-site, remote, and hybrid settings in Technology & Software, Manufacturing, and Banking & Financial Services, with employers like Lyft, Formlabs, and Wells Fargo hiring at this level now.
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About Navaide
Navaide partners with federal clients to deliver mission-focused solutions across financial management, ERP, and digital transformation. We bring deep domain expertise, practical execution, and a people-first culture to complex government environments.
Catalysts for a Stronger Tomorrow
At Navaide, we exist to empower organizations to evolve and adapt in a rapidly changing world. By combining human ingenuity with transformative technology, we develop innovative solutions that drive progress for the people and systems that strengthen our nation. Our mission is rooted in agility, scalability, and a commitment to exceeding expectations, ensuring impactful results for our clients and communities.
How You Will Make an Impact:
We are seeking a proactive Lead AI & Data Analytics Engineer to support a federal acquisition process modernization effort. This individual will serve as the technical and functional lead for building AI-enabled analytics products using Palantir Foundry, Microsoft Power Platform, Advana, Jupiter, and Databricks.
This is not a traditional dashboard developer role. The successful candidate must be a self-starter who can engage directly with business stakeholders, understand acquisition and contract writing processes, identify high-value use cases, connect data across platforms, and deliver decision-support capabilities with limited oversight.
The ideal candidate will help the client move from static reporting to integrated, AI-enabled analytics that generate actionable insights, identify risk, improve visibility, and support better acquisition decision-making.
Key Responsibilities:
- Lead the design, development, and delivery of AI-enabled analytics products supporting acquisition and contract writing operations.
- Build and maintain data products, dashboards, workflows, and analytical applications using Palantir Foundry and Microsoft Power Platform.
- Work within Advana and Jupiter environments to access, analyze, and connect relevant data sources to Palantir Foundry and Power Platform solutions.
- Develop data pipelines, reusable data models, and analytics layers using Databricks, SQL, Python, PySpark, or similar tools.
- Build and maintain ETL/ELT pipelines in Foundry's Pipeline Builder and Code Repositories — from raw ingest through staging to curated, production-ready datasets
- Design end-to-end big data architectures across cloud implementations of Foundry, including data lakes, pipelines, warehouses, and analytics platforms; apply Foundry's open architecture principles to ensure interoperability with existing IT systems and meet organizational and compliance requirements
- Integrate AI, machine learning, natural language processing, generative AI, or automated insight-generation capabilities into analytics products and workflows.
- Identify, prioritize, and drive analytics and AI use cases from concept through delivery.
- Partner with acquisition, contracting, program, and technical stakeholders to understand business problems and translate them into data and AI solutions.
- Develop AI-enabled capabilities such as natural language querying, automated leadership summaries, risk indicators, anomaly detection, trend analysis, workload forecasting, and decision-support recommendations.
- Build dashboards and reports that provide insight into contract writing activity, workload, procurement status, cycle times, data quality, system adoption, bottlenecks, and operational risk.
- Support data integration across contract writing, procurement, financial, program, and operational data sources.
- Validate AI-generated outputs against source data, business rules, and subject matter expert feedback.
- Establish standards for data quality, governance, documentation, and responsible AI use.
- Provide technical direction to junior or support-level data analytics staff.
- Present findings, prototypes, dashboards, and recommendations to both technical and non-technical stakeholders.
Required Qualifications:
- 5+ years of experience in data analytics, data engineering, platform engineering, business intelligence, AI/ML, or analytics product development.
- Experience building analytics products in Palantir Foundry.
- Experience working with Advana, Jupiter, or similar federal/DoD data environments.
- Strong experience with SQL, Python, TypeScript/JavaScript.
- Hands-on expertise with one or more modern data engineering, analytics, or data platform technologies (e.g. Databricks, Spark, Kafka, Hadoop, Snowflake, Azure Data Factory, AWS Glue, Apache NiFi, Delta Lake).
- Experience integrating and transforming data from multiple sources and translating business requirements into data products, dashboards, AI use cases, and technical solutions.
- Experience applying AI, machine learning, NLP, generative AI, semantic search, or natural language querying to business or operational data.
- Strong understanding of data governance, data quality, access control, and responsible AI practices.
- Demonstrated ability to lead use cases, manage ambiguity, and deliver results with limited oversight.
- Strong client-facing communication skills and stakeholder engagement skills.
- Eligible to obtain a U.S. Government clearance
- Experience with Microsoft Power Platform, including Power BI; Power Apps and Power Automate.
- Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Information Systems, Mathematics, Physics, or a related technical field, or equivalent experience.
Preferred Qualifications
Travel
Up to 10% travel, depending on environment cutovers, stakeholder design sessions, and validation/test events.
Education
What We Offer
Navaide is committed to fostering a supportive, inclusive, and forward-thinking workplace where our team members can thrive. Our benefits are designed to support your well-being, professional growth, and ability to work at a sustainable pace.
- Competitive compensation: $130,000 – 150,000 / year (commensurate with experience)
- Comprehensive benefits, including medical, dental, and vision coverage
- Flexible time off
- Professional development opportunities
- Company perks such as flex spending, wellness initiatives, etc.
- 401(K) matching
About Our Culture
Navaide honors integrity, curiosity, diligence, and collaboration in everything we do. We believe in building strong relationships with our clients, communities, and teammates, united by a shared purpose of creating a stronger tomorrow. Navaide is proud to be an Equal Employment Opportunity employer.
Ready to Make a Difference?
For more about us, please check out the following links:
- About Navaide (https://navaide.com/about/)
- Other Opportunities (https://navaide.com/careers/)
- Employee Benefits (https://navaide.com/careers)
- Connect with us on LinkedIn! (https://www.linkedin.com/company/navaide)
Equal Opportunity Employer: Navaide is an EEO Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
- E-Verify Participation:
- E-Verify Participation Poster (https://www.e-verify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf)
- IER Right to Work Poster (https://www.e-verify.gov/sites/default/files/everify/posters/IER_RightToWorkPoster%20Eng_Es.pdf)
No third parties, please.
About Navaide
Navaide partners with federal clients to deliver mission-focused solutions across financial management, ERP, and digital transformation. We bring deep domain expertise, practical execution, and a people-first culture to complex government environments.
Catalysts for a Stronger Tomorrow
At Navaide, we exist to empower organizations to evolve and adapt in a rapidly changing world. By combining human ingenuity with transformative technology, we develop innovative solutions that drive progress for the people and systems that strengthen our nation. Our mission is rooted in agility, scalability, and a commitment to exceeding expectations, ensuring impactful results for our clients and communities.
How You Will Make an Impact:
We are seeking a proactive Lead AI & Data Analytics Engineer to support a federal acquisition process modernization effort. This individual will serve as the technical and functional lead for building AI-enabled analytics products using Palantir Foundry, Microsoft Power Platform, Advana, Jupiter, and Databricks.
This is not a traditional dashboard developer role. The successful candidate must be a self-starter who can engage directly with business stakeholders, understand acquisition and contract writing processes, identify high-value use cases, connect data across platforms, and deliver decision-support capabilities with limited oversight.
The ideal candidate will help the client move from static reporting to integrated, AI-enabled analytics that generate actionable insights, identify risk, improve visibility, and support better acquisition decision-making.
Key Responsibilities:
- Lead the design, development, and delivery of AI-enabled analytics products supporting acquisition and contract writing operations.
- Build and maintain data products, dashboards, workflows, and analytical applications using Palantir Foundry and Microsoft Power Platform.
- Work within Advana and Jupiter environments to access, analyze, and connect relevant data sources to Palantir Foundry and Power Platform solutions.
- Develop data pipelines, reusable data models, and analytics layers using Databricks, SQL, Python, PySpark, or similar tools.
- Build and maintain ETL/ELT pipelines in Foundry's Pipeline Builder and Code Repositories — from raw ingest through staging to curated, production-ready datasets
- Design end-to-end big data architectures across cloud implementations of Foundry, including data lakes, pipelines, warehouses, and analytics platforms; apply Foundry's open architecture principles to ensure interoperability with existing IT systems and meet organizational and compliance requirements
- Integrate AI, machine learning, natural language processing, generative AI, or automated insight-generation capabilities into analytics products and workflows.
- Identify, prioritize, and drive analytics and AI use cases from concept through delivery.
- Partner with acquisition, contracting, program, and technical stakeholders to understand business problems and translate them into data and AI solutions.
- Develop AI-enabled capabilities such as natural language querying, automated leadership summaries, risk indicators, anomaly detection, trend analysis, workload forecasting, and decision-support recommendations.
- Build dashboards and reports that provide insight into contract writing activity, workload, procurement status, cycle times, data quality, system adoption, bottlenecks, and operational risk.
- Support data integration across contract writing, procurement, financial, program, and operational data sources.
- Validate AI-generated outputs against source data, business rules, and subject matter expert feedback.
- Establish standards for data quality, governance, documentation, and responsible AI use.
- Provide technical direction to junior or support-level data analytics staff.
- Present findings, prototypes, dashboards, and recommendations to both technical and non-technical stakeholders.
Required Qualifications:
- 5+ years of experience in data analytics, data engineering, platform engineering, business intelligence, AI/ML, or analytics product development.
- Experience building analytics products in Palantir Foundry.
- Experience working with Advana, Jupiter, or similar federal/DoD data environments.
- Strong experience with SQL, Python, TypeScript/JavaScript.
- Hands-on expertise with one or more modern data engineering, analytics, or data platform technologies (e.g. Databricks, Spark, Kafka, Hadoop, Snowflake, Azure Data Factory, AWS Glue, Apache NiFi, Delta Lake).
- Experience integrating and transforming data from multiple sources and translating business requirements into data products, dashboards, AI use cases, and technical solutions.
- Experience applying AI, machine learning, NLP, generative AI, semantic search, or natural language querying to business or operational data.
- Strong understanding of data governance, data quality, access control, and responsible AI practices.
- Demonstrated ability to lead use cases, manage ambiguity, and deliver results with limited oversight.
- Strong client-facing communication skills and stakeholder engagement skills.
- Eligible to obtain a U.S. Government clearance
- Experience with Microsoft Power Platform, including Power BI; Power Apps and Power Automate.
- Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Information Systems, Mathematics, Physics, or a related technical field, or equivalent experience.
Preferred Qualifications
Travel
Up to 10% travel, depending on environment cutovers, stakeholder design sessions, and validation/test events.
Education
What We Offer
Navaide is committed to fostering a supportive, inclusive, and forward-thinking workplace where our team members can thrive. Our benefits are designed to support your well-being, professional growth, and ability to work at a sustainable pace.
- Competitive compensation: $130,000 – 150,000 / year (commensurate with experience)
- Comprehensive benefits, including medical, dental, and vision coverage
- Flexible time off
- Professional development opportunities
- Company perks such as flex spending, wellness initiatives, etc.
- 401(K) matching
About Our Culture
Navaide honors integrity, curiosity, diligence, and collaboration in everything we do. We believe in building strong relationships with our clients, communities, and teammates, united by a shared purpose of creating a stronger tomorrow. Navaide is proud to be an Equal Employment Opportunity employer.
Ready to Make a Difference?
For more about us, please check out the following links:
- About Navaide (https://navaide.com/about/)
- Other Opportunities (https://navaide.com/careers/)
- Employee Benefits (https://navaide.com/careers)
- Connect with us on LinkedIn! (https://www.linkedin.com/company/navaide)
Equal Opportunity Employer: Navaide is an EEO Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
- E-Verify Participation:
- E-Verify Participation Poster (https://www.e-verify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf)
- IER Right to Work Poster (https://www.e-verify.gov/sites/default/files/everify/posters/IER_RightToWorkPoster%20Eng_Es.pdf)
No third parties, please.
See All 61 Mid Level Analytics Lead Jobs
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Find Mid Level Analytics Lead JobsMid Level Analytics Lead Job Market
Who's Hiring
- Lyft4
- Formlabs4
- Wells Fargo3
- Forward Edge AI3F
- Chamberlain3
Top Industries Hiring
- Technology & Software14
- Manufacturing7
- Banking & Financial Services7
- Investment & Asset Management4
- Biotechnology & Pharmaceuticals4
Mid Level Analytics Lead Jobs: Frequently Asked Questions
How do I get a mid level analytics lead job?
Position yourself by leading with ownership, not just contribution. Highlight projects where you set the analytical approach, delivered findings to stakeholders, and shaped decisions, not just ran queries. Tailor your resume to show scope, not just tools. Demonstrate that you can work with ambiguity, prioritize independently, and communicate results to non-technical audiences, which is what hiring managers at this level are evaluating.
Which companies hire mid level analytics leads?
Companies hiring mid level analytics leads right now include Lyft, Formlabs, and Wells Fargo, based on current listings on Migrate Mate as of July 2026. Hiring at this level comes from a broad range of employers, including growth-stage technology companies, large consumer brands, financial services firms, and healthcare organizations that are scaling their analytics functions and need professionals who can work independently.
Are there remote mid level analytics lead jobs?
Yes, and the share is substantial. About 47% of mid level analytics lead openings are remote or hybrid as of July 2026, reflecting how data work has shifted since many analytics functions operate effectively without a fixed location. Filtering by work setting on Migrate Mate lets you see only the openings that match your preferred arrangement.
How do I move up to a mid level analytics lead role?
Growing into a mid level analytics lead role typically means moving from executing assigned tasks to owning full analytical projects, from a single tool to a broader technical stack, and from reporting findings to influencing decisions. Building a record of measurable business impact, taking on cross-functional work, and learning to communicate with stakeholders beyond your immediate team are the clearest signals that you are ready to operate at this level.
Which industries hire the most mid level analytics leads?
Mid Level analytics lead roles concentrate in Technology & Software, Manufacturing, and Banking & Financial Services, based on current listings on Migrate Mate as of July 2026. These sectors drive hiring at this level because they generate large volumes of customer, operational, or financial data that require professionals who can own the analytical process independently rather than simply support more senior staff.