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Data Analytics Manager Jobs in Washington (NOW HIRING)

... Data Analytics practice. * Deliver on projects in the areas of data management, data governance, dashboard monitoring, DQ dashboards, data controls, data lineage, and data mapping. * Support data ...

Acumen Solutions is looking for a Sr. Manager of Data Analytics to join our Analytics team. The Sr. Manager will work closely with the Information Management Practice Lead to help manage the team ...

In this context we are looking for a Data Analytics Specialist to join our Digital & Analytics Team in Herndon, VA . WHAT'S IN IT FOR YOU Here is a selection of some of the benefits we offer our ...

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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 Jul 20, 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.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and communicating findings, which require human judgment and domain expertise. Therefore, while AI may augment certain responsibilities, it is unlikely to fully replace data analysts in the near future, and skills in data storytelling and critical thinking remain essential.

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 does a data analyst manager do?

A data analyst manager oversees a team of data analysts, guiding data collection, analysis, and reporting to support business decision-making. They develop strategies, ensure data accuracy, and often use tools like SQL, Excel, or data visualization software to interpret complex data sets. Strong leadership, communication skills, and knowledge of analytics tools are essential for this role.

How much do data analytics managers make?

Data analytics managers in the US typically earn a median salary of around $100,000 to $130,000 annually, with experienced professionals and those in high-demand industries earning higher. Salaries can vary based on location, education, certifications, and company size, and many roles require proficiency in tools like SQL, Python, or Tableau.

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

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.

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 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.

Is a data analyst a high salary?

Data analysts typically earn moderate to high salaries depending on experience, industry, and location. While entry-level positions may have lower pay, experienced data analysts with skills in SQL, Excel, and data visualization tools can command higher salaries, especially in competitive markets.
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 job categories do people searching Data Analytics Manager jobs in Washington look for? The top searched job categories for Data Analytics Manager jobs in Washington 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 July 2026, with employment types broken down into 1% Internship, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution, with an average salary of $110,026 per year, or $52.9 per hour.
Data Analytics Developer

Data Analytics Developer

TechOp Solutions International

Washington, DC โ€ข On-site

Full-time

Posted 3 days ago

New


Job description

We are seeking a detail-oriented Data Analyst to join our team and contribute to our data-driven decision-making processes. The candidate will support the U.S. Customs and Border Protectionโ€™s Power Platform team by developing, maintaining, and enhancing Power BI dashboards, improving the structure of Excel, SharePoint, and SQL databases that feed into the Power BI dashboards, and creating ETL (Extract, Transform, Load) processes to facilitate the movement of data from legacy databases such as Excel and SharePoint to modernized databases such as SQL. The teamโ€™s current Power Platform solutions are utilized by 10,000+ users annually. The ideal candidate will possess a strong analytical mindset coupled with experience in database management or data migration (ETL).

Requirements

  • Collect, clean, and organize data from various sources into Power BI dashboards to display actionable insights to leadership and identify trends, patterns, and anomalies
  • Perform detailed analysis of datasets using Excel and other analytical tools to derive actionable insights
  • Manage Excel, SharePoint, and SQL database structures that store data fed to the Power BI dashboards
  • Present findings and insights to key stakeholders in a clear and understandable manner, using Excel and Power BI
  • Extract, transform, and load data from legacy databases such as Excel, SharePoint, and Access Databases to modernized databases
  • Replace ETL technology such as R-Studio and Informatica with Power Automate
  • Advanced proficiency with Microsoft PowerBI
  • Advanced proficiency with Microsoft Excel
  • Intermediate proficiency with SQL
  • Beginner proficiency with Relationship Database Management Systems (RDMS) architecture and database administration
  • Desirable Skills:
  • Beginner / Intermediate proficiency with Power Automate
  • Beginner proficiency with ETL technology such as R, Python, SQL, or SSIS
  • Functional Application Development Documentation proficiency