Data Analytics Manager Jobs
Data Analytics Manager jobs are open across finance, healthcare, retail, and technology, from mid-level analyst leads to senior director roles, with specializations in business intelligence, predictive modeling, and data governance. Find a role that fits from the openings below and apply directly.
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Showing 5 of 3,640+ Data Analytics Manager jobs
We are looking for a Data Analyst to work with our team and our clients to architect and develop data models, data warehouses, lakes, and lakehouses, data governance, services, and pipelines. We are looking for more than just a "Data Analyst", but a technologist with excellent communication and customer service skills and a passion for data and problem solving.
Contributions:- Work on migration of data environments with performance and reliability.
- Assess, understand, and document data sources
- Address technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products
- Experience working with database / data warehouse solutions in cloud (Preferably AWS. Alternatively Azure, GCP).
- Key must have skill sets – data modeling, data understanding
- You will be part of our Data Exploitation Practice!
- Ability to hold a position of public trust with the US government.
- 0-2 years of experience with data model and date warehouse design, including schema design and entity relationship diagrams
- 0-2 years of experience collaborating with management, personas, and engineers to support data quality efforts
- Experience with large-scale data migration
- Experience designing storage and retrieval solutions for both structured and unstructured data, in support of data science pipelines
- Experience designing data platforms for user consumption
-
Experience supporting the development of related data artifacts
- Data Dictionary
- Entity Relationship Diagrams
- Data Flow Diagram
- Data Quality Plan
- Data Management Plan
- Data Asset Catalog
- Experience with relational SQL and NoSQL databases
- Familiarity with cloud technology, using AWS or Azure. Knowledge of managed service offerings (e.g. AWS EC2, EMR, RDS, Redshift)
- Experience developing specifications for modern large-scale data repositories including development of specifications for cloud-based database solutions
- Familiarity with FIPS 140-2 compliant encryption to both stored data and data in motion
- Understand customer requirements and prioritize for maximum customer / user experience.
- Experience working with software and data science teams to operationalize information
- Experience collaborating with staff, IT customers, and other technical and non-technical staff and contractors at all levels
- Experience working in an agile environment
- Bachelor's degree in computer science, information systems, engineering, business, or a scientific or technical discipline
Identity Statement
Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. If you want to learn more about our story, visit http://www.steampunk.com.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.
We are looking for a Data Analyst to work with our team and our clients to architect and develop data models, data warehouses, lakes, and lakehouses, data governance, services, and pipelines. We are looking for more than just a "Data Analyst", but a technologist with excellent communication and customer service skills and a passion for data and problem solving.
Contributions:- Work on migration of data environments with performance and reliability.
- Assess, understand, and document data sources
- Address technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products
- Experience working with database / data warehouse solutions in cloud (Preferably AWS. Alternatively Azure, GCP).
- Key must have skill sets – data modeling, data understanding
- You will be part of our Data Exploitation Practice!
- Ability to hold a position of public trust with the US government.
- 0-2 years of experience with data model and date warehouse design, including schema design and entity relationship diagrams
- 0-2 years of experience collaborating with management, personas, and engineers to support data quality efforts
- Experience with large-scale data migration
- Experience designing storage and retrieval solutions for both structured and unstructured data, in support of data science pipelines
- Experience designing data platforms for user consumption
-
Experience supporting the development of related data artifacts
- Data Dictionary
- Entity Relationship Diagrams
- Data Flow Diagram
- Data Quality Plan
- Data Management Plan
- Data Asset Catalog
- Experience with relational SQL and NoSQL databases
- Familiarity with cloud technology, using AWS or Azure. Knowledge of managed service offerings (e.g. AWS EC2, EMR, RDS, Redshift)
- Experience developing specifications for modern large-scale data repositories including development of specifications for cloud-based database solutions
- Familiarity with FIPS 140-2 compliant encryption to both stored data and data in motion
- Understand customer requirements and prioritize for maximum customer / user experience.
- Experience working with software and data science teams to operationalize information
- Experience collaborating with staff, IT customers, and other technical and non-technical staff and contractors at all levels
- Experience working in an agile environment
- Bachelor's degree in computer science, information systems, engineering, business, or a scientific or technical discipline
Identity Statement
Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. If you want to learn more about our story, visit http://www.steampunk.com.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.
Data Analytics Manager Jobs by Experience Level
Top Cities Hiring Data Analytics Managers
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Find Data Analytics Manager JobsData Analytics Manager Job Market
Who's Hiring
- Deloitte33
- JPMorganChase33
- Guidehouse25
- Spectrum22
- Lockheed Martin22
Top Industries Hiring
- Technology & Software47
- Healthcare & Medical Services33
- Consulting & Professional Services18
- Education15
- Banking & Financial Services11
What Employers Look For
The qualifications that appear most often in data analytics manager jobs.
- Five or more years of experience in data analytics or a related field
- Proficiency in SQL and at least one BI tool such as Tableau or Power BI
- Experience managing or mentoring analysts and cross-functional data teams
- Strong communication skills for presenting insights to executive stakeholders
- Bachelor's degree in statistics, computer science, mathematics, or a related discipline
- Familiarity with cloud data platforms such as Snowflake, BigQuery, or Redshift
Tips for Your Data Analytics Manager Job Search
Quantify impact on your resume
Data analytics manager resumes that land interviews show outcomes, not just tools. Replace bullet points like 'managed dashboards' with specifics: reduction in reporting time, revenue attributed to a model, or team size you scaled.
Align your portfolio to business decisions
Hiring managers want proof you translated data into action, not just analysis. Include two or three case studies showing a business question, your analytical approach, and the decision it drove, ideally with before-and-after context.
Filter openings by stack, not just title
Data analytics manager roles vary widely by toolset. Search by the platforms you know best, such as dbt, Looker, Snowflake, or Power BI, so you target teams where your skills are immediately deployable rather than starting from scratch.
Apply early to roles that fit
Migrate Mate lists data analytics manager openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a stakeholder communication example
Interviewers for this role consistently probe how you present findings to non-technical executives. Prepare a real story where you reframed a complex dataset into a clear recommendation, and practice delivering it in under two minutes.
Negotiate scope before negotiating compensation
Before discussing pay, clarify team size, data infrastructure maturity, and whether the role owns roadmap decisions. These factors affect your leverage and your day-to-day autonomy far more than the title alone suggests.
Data Analytics Manager Jobs: Frequently Asked Questions
Which companies are hiring the most data analytics managers?
The companies hiring the most data analytics managers right now include Deloitte, JPMorganChase, and Guidehouse, with the largest share of openings in Texas, California, and Virginia, based on current listings on Migrate Mate as of November 2026. Demand is particularly concentrated in financial services and large-scale retail technology divisions.
How many data analytics manager jobs are remote?
About 80% of data analytics manager openings are fully remote or hybrid as of November 2026, making it one of the more location-flexible management roles in data. Business intelligence and data governance sub-specializations tend to have the highest remote availability, while roles tied to real-time operations or on-premise infrastructure lean more toward in-office requirements.
How do you become a data analytics manager?
You become a data analytics manager by first building several years of hands-on experience as an analyst, then demonstrating cross-functional project ownership and informal team leadership. Moving into the role typically involves leading a project end-to-end, mentoring junior analysts, and developing a track of stakeholder-facing deliverables that show you can translate data into business decisions, not just produce reports.
Can you get a data analytics manager job without prior management experience?
You can move into a data analytics manager role without a formal management title if you can demonstrate leadership through project ownership, mentoring, or building out analytical frameworks others relied on. Smaller companies and growth-stage teams hire analytically strong individual contributors into manager roles when those candidates show initiative in structuring workflows and communicating findings to business leaders.
What does the data analytics manager interview process look like?
The interview process for a data analytics manager typically runs across multiple rounds: an initial screen focused on background and team fit, a technical assessment covering SQL and analytical problem-solving, a case study or take-home requiring you to derive a business recommendation from a dataset, and a final round with senior stakeholders or cross-functional leaders who probe your communication style and strategic thinking.
Where can I find and apply to data analytics manager jobs?
You can find and apply to data analytics manager 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 3,640+ Data Analytics Manager Jobs
Find roles that match your experience and apply in just a few clicks.
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