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Data Analytics Manager Jobs in Washington (NOW HIRING)

Data Analytics Manager, Senior

Arlington, VA ยท On-site

$130 - $170/hr

Partner with Engineering to manage analytics tools ensuring smooth data flow and governance. * Champion responsible data use, ensuring adherence to internal policies and external regulations. You ...

Data Analytics Manager, Senior

Arlington, VA ยท On-site

$130 - $170/hr

Partner with Engineering to manage analytics tools ensuring smooth data flow and governance. * Champion responsible data use, ensuring adherence to internal policies and external regulations. You ...

ICF is seeking an experienced Data Analytics Manager to lead enterprise data, analytics, governance, and AI-enabled capabilities for a complex federal technology services program. This role will ...

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Showing results 1-20

Data Analytics Manager information

See Washington salary details

$35.1K

$110K

$194.8K

How much do data analytics manager jobs pay per year?

As of Aug 28, 2026, the average yearly pay for data analytics manager in Washington is $110,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,800.00 and $142,100.00 per year, depending on experience, location, and employer.

What does a data analytics manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

What are the key skills and qualifications needed to thrive as a data analytics manager?

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

How do data analytics managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

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

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

What are the most commonly searched types of Data Analytics jobs in Washington?

The most popular types of Data Analytics jobs in Washington are:

What are popular job titles related to Data Analytics Manager jobs in Washington?

For Data Analytics Manager jobs in Washington, the most frequently searched job titles are:

What cities in Washington are hiring for Data Analytics Manager jobs?

Cities in Washington with the most Data Analytics Manager job openings:

Infographic showing various Data Analytics Manager job openings in Washington as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $110,026 per year, or $52.9 per hour.

Data Analytics Manager, Senior

Bloomberg BNA

Arlington, VA โ€ข On-site

$130 - $170/hr

Other

Posted 7 days ago


Job description

Drives meaningful business impact by transforming complex data into strategic insights and high-leverage recommendations. This role partners closely with cross-functional teams to develop and scale the enterprise analytics platform and capabilities, improve self-service access to product usage insights, and ensure consistent interpretation of product performance across the business. By applying best-in-class analytics practices and aligning with broader business strategy, this individual develops intelligent, forward-looking BI solutions that directly improve decision-making, operational efficiency, and revenue outcomes.

What you will do:
  • Serve as a key Product Analytics point of contact for Amplitude platform enablement, including Guides & Surveys, documentation, governance, best practices, and support for broader cross-functional use cases.
  • Partner with Product, Personalization and Engineering teams to support the use of behavioral data within product experiences, including personalization, onboarding and in-product engagement capabilities.
  • Own the ongoing evolution of customer usage reporting capabilities, monitoring and triaging incoming requests and partnering with Sales and Customer Success to identify recurring and changing business needs, prioritize enhancements, and expand self-service access to trusted customer usage data and insights.
  • Own and drive cross-functional relationships across the business, act as the liaison between the analytics team and key business stakeholders across these teams.
  • Translate complex data into clear, compelling narratives and visualizations for non-technical stakeholders, enabling informed decision-making at all levels.
  • Lead the end-to-end analytics process for relevant systems, including quality assurance, auditing, and governance to ensure data integrity and usability across platforms.
  • Analyze customer behavior, feature adoption, usage patterns, and performance metrics to uncover trends and deliver actionable recommendations that enhance product value and business outcomes.
  • Design, build, and maintain scalable dashboards and reports that provide visibility into KPIs, success metrics, and end user engagement of relevant system.
  • Implement and maintain data collection systems, and quality control strategies to optimize statistical efficiency and data quality.
  • Partner with Engineering to manage analytics tools ensuring smooth data flow and governance.
  • Champion responsible data use, ensuring adherence to internal policies and external regulations.
You need to have:
  • Bachelorโ€™s degree in Business, Mathematics, Statistics, Computer Science, related field, or equivalent practical experience.
  • 7+ years of data analysis experience, leveraging descriptive and predictive techniques on large, complex datasets from multiple sources.
  • 4+ years of experience working with large datasets from diverse sources, producing actionable reports, and presenting findings.
  • 3+ years of experience uncovering product analytics insights that inform cross-functional initiatives, shape hypotheses, and support strategic and operational decision-making across Product, Marketing, Sales, Customer Success and related teams.
  • 3+ years of experience presenting insights to senior leadership or high-level audiences.
  • Strong experience in product analytics, sales analytics, or data strategy roles.
  • Experience working with Databricks or similar data platforms to access, analyze, and operationalize data across multiple sources and surfaces.
  • Strong analytical skills to organize, analyze, and communicate complex data with accuracy and detail.
  • Demonstrated ability to conduct stakeholder discovery, identify recurring business needs, prioritize analytics capabilities, and translate those needs into scalable solutions.
  • Ability to manage priorities in fast-paced environments while independently managing analytics projects from scoping to delivery.
  • Effective communication skills: Regularly achieve consensus with peers, explain complex data concepts to non-technical stakeholders, and provide clear status updates.
  • Intermediate to advanced proficiency in SQL, Python, and BI tools (e.g., Tableau, Power BI).
  • Deep understanding of customer journey analytics, KPI development, and data storytelling.
  • Experience managing large-scale datasets, data platforms, and pipelines.
  • Experience managing large-scale datasets, data platforms, and pipelines.
  • Proven ability to lead cross-functional projects.
  • Familiarity with data privacy standards and compliance best practices.
Special Requirements:

Candidates may be required to pass a test for this position.

Compensation Range:

$130,000.00-$170,000.00 Placement in the salary range will be decided upon completion of the interview process. Salary determination will be determined based on factors including but not limited to relevant experience, demonstrated skills related to the requirements of the role, education, certifications, and geographic location.

Equal Opportunity:

Equal Opportunity Bloomberg Industry Group maintains a continuing policy of non-discrimination in employment. It is Bloomberg Industry Groupโ€™s policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law (โ€œProtected Characteristicโ€). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics (โ€œDiscriminationโ€). Bloomberg Industry Group, an affiliate of Bloomberg L.P., is a leading source of legal, tax, regulatory, government, and business information for professionals.

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