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Manager Data Analyst Government Jobs (NOW HIRING)

Senior Data Analyst

Conshohocken, PA

$84K - $106K/yr

Working closely with the Senior Manager, Data Analytics, this role serves as a senior business partner to leaders across the company - owning analytics engagements end-to-end, contributing to team ...

... manage data dictionaries, and ensure the pipeline stays compliant and productive. Source-Derived ... with government-directed standards; surface findings in visualizations the team can act on ...

... manage data dictionaries, and ensure the pipeline stays compliant and productive. Source-Derived ... Analyze data holdings to assess diversity, coverage, and compliance with government-directed ...

Data Analyst

Washington, DC · On-site

$125K - $145K/yr

We are seeking a Data Analyst - Lead who will lead analytical support services for a government ... Work closely with the Program Manager, Contractor/Consulting Teams, Government Stakeholders, and ...

Data Analyst

Washington, DC · On-site

$125K - $145K/yr

We are seeking a Data Analyst - Lead who will lead analytical support services for a government ... Work closely with the Program Manager, Contractor/Consulting Teams, Government Stakeholders, and ...

We are seeking a Data Analyst - Lead who will lead analytical support services for a government ... Work closely with the Program Manager, Contractor/Consulting Teams, Government Stakeholders, and ...

We are seeking a Data Analyst to provide analytical support services for a government client ... Work closely with the Program Manager, Contractor/Consulting Teams, Government Stakeholders, and ...

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Manager Data Analyst Government information

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$34K

$82.6K

$136K

How much do manager data analyst government jobs pay per year?

As of Jul 19, 2026, the average yearly pay for manager data analyst government in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does a Manager Data Analyst do in government?

A Manager Data Analyst in government oversees teams that collect, analyze, and interpret data to inform public policy and improve government services. They ensure data quality, develop analytical strategies, and present findings to decision-makers. Their role often includes coordinating with other departments, ensuring compliance with data regulations, and using data-driven insights to address public needs and improve efficiency. They may also be responsible for mentoring junior analysts and implementing data management best practices.

What are some common challenges faced by a Manager Data Analyst in a government setting, and how can they be addressed?

A Manager Data Analyst in government often encounters challenges such as navigating complex regulatory requirements, working with legacy systems, and ensuring data privacy and security. Additionally, collaborating across departments with varying data literacy levels can be demanding. These challenges can be addressed by fostering strong communication with stakeholders, prioritizing ongoing staff training, and implementing standardized processes for data governance and reporting. Leveraging modern data tools and advocating for digital transformation can also help streamline workflows and improve data-driven decision-making.

What is the difference between Manager Data Analyst Government vs Data Analyst Government?

AspectManager Data Analyst GovernmentData Analyst Government
Required CredentialsBachelor's degree, often with experience in management or leadership certificationsBachelor's degree in related field, sometimes certifications in data analysis tools
Work EnvironmentSupervisory role overseeing teams, strategic planningData collection, analysis, reporting tasks
Employer & Industry UsageGovernment agencies, public sector organizationsGovernment departments, public sector agencies
Common Search & ComparisonYes, often compared for career progressionYes, as entry to mid-level roles in government data analysis

The main difference between a Manager Data Analyst Government and a Data Analyst Government lies in their responsibilities and seniority. The manager oversees teams, manages projects, and develops strategies, while the data analyst focuses on data collection, analysis, and reporting. Both roles are essential in government agencies, but the manager position requires leadership skills and experience in managing personnel.

What are the key skills and qualifications needed to thrive as a Manager Data Analyst in government, and why are they important?

To thrive as a Manager Data Analyst in government, you need expertise in data analysis, statistics, and public policy, typically supported by a degree in data science, statistics, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), programming languages (like SQL, R, or Python), and government data systems is essential. Strong leadership, communication, and problem-solving skills help manage teams and effectively translate data insights for stakeholders. These skills are vital to ensure data-driven decision-making, policy development, and efficient public service delivery.
More about Manager Data Analyst Government jobs
What cities are hiring for Manager Data Analyst Government jobs? Cities with the most Manager Data Analyst Government job openings:
What are the most commonly searched types of Data Analyst Government jobs? The most popular types of Data Analyst Government jobs are:
What states have the most Manager Data Analyst Government jobs? States with the most job openings for Manager Data Analyst Government jobs include:
What job categories do people searching Manager Data Analyst Government jobs look for? The top searched job categories for Manager Data Analyst Government jobs are:
Associate Data and Cost Modeling Analyst - Government Estimating

Associate Data and Cost Modeling Analyst - Government Estimating

Boeing

Hazelwood, MO • On-site

$97K - $132K/yr

Full-time

Medical, Life, Retirement

Posted 5 days ago


Boeing rating

8.5

Company rating: 8.5 out of 10

Based on 604 frontline employees who took The Breakroom Quiz

33rd of 528 rated manufacturers


Job description

Associate Data and Cost Modeling Analyst - Government Estimating
Company:
The Boeing Company
The Boeing Company is seeking an Associate Data and Cost Modeling Analyst - Government Estimating to join the Analytics & Data Intelligence team in Hazelwood, MO.
This challenging role will support development of AI-powered estimating tools, cost model development, and data collection, organization, and analysis, particularly working with unstructured data.
Our ideal candidate is a curious, collaborative problem-solver who communicates clearly and prioritizes the team; they bring hands-on experience in AI, machine learning, algorithmic problem-solving techniques, and statistical modeling to develop analytical solutions. They have practical experience with data analysis, normalization and standardization, building ETLs and data pipelines and tools, and handling unstructured data.
Position Responsibilities:
  • Work with Boeing data systems (IRE, EAS, PMAS, CSPR, etc.) to create databases and data tools, understanding how our different data sources connect to link them for various data tool solutions, managing the ETL process
  • Develop analytical solutions for imperfect datasets
  • Work with and understand datasets from a variety of programs/platforms and systems; Data normalization
  • Map data to common baselines to normalize and analyze cross platform data
  • Leverage Large Language Models (LLMs) to process and analyze text data.
  • Implement methods such as Retrieval Augmented Generation (RAG) to improve upon the performance of LLMs
  • Leverage Artificial Intelligence (AI) methods, such as neural networks, classifiers, and decision trees, specifically, to power data analysis and solutions for estimating
  • Code, test, and maintain data tools and analytical models
  • Support in the design of parametric cost models, dashboards, metrics and reports utilizing standard technologies and statistical computation methodologies that support cost analysis objectives

Basic Qualifications (Required Skill/Experience):
  • Bachelor's degree or higher in a quantitative field (e.g. statistics, operations research, information systems, bioinformatics, economics, computational biology, computer science, mathematics, physics, chemistry or similar quantitative fields)
  • Experience with data modeling tools (e.g. SQL, Python, Spotfire, PySpark, RStudio, Databricks, Dataiku, Airflow, Streamsets, Tableau), data modeling techniques, and/or data normalization
  • 1+ years of experience in designing and implementing Natural Language Processing (NLP) models using machine learning techniques including neural networks, deep learning and transformer architectures

Preferred Qualifications (Desired Skills/Experience):
  • Proven experience analyzing large datasets and presenting actionable insights to leadership
  • Experience with statistical analysis and advanced methods (probability theory/distribution, multivariate analysis, parametric/non-parametric models, algorithmic computational methods, etc.)
  • Proficiency with statistical software, programming languages, and databases
  • Experience with Application Programming Interface (API) design and application
  • Experience with AI concepts / Machine Learning (ML): particularly LLMs (including prompt engineering). Natural Language Processing (NLP), clustering, optimization, and applications in time series analysis, stochastic models, and data mining
  • Strong technical data analysis background and defense industry experience

Conflict of Interest:
Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.
Drug Free Workplace:
Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.
Pay & Benefits:
At Boeing, we strive to deliver a Total Rewards package that will attract, engage, and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.
The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.
Pay is based upon candidate experience and qualifications, as well as market and business considerations.
Summary Pay Range: $97,750 - $132,250
Language Requirements:
Not Applicable
Education:
Bachelor's Degree or Equivalent
Relocation:
Relocation assistance is not a negotiable benefit for this position.
Export Control Requirement:
This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.
Safety Sensitive:
This is not a Safety Sensitive Position.
Security Clearance:
This position does not require a Security Clearance.
Visa Sponsorship:
Employer will not sponsor applicants for employment visa status.
Contingent Upon Award Program
This position is not contingent upon program award
Shift:
Shift 1 (United States of America)
Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
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