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Data Analytics Director Jobs in Washington (NOW HIRING)

Visa

Director, Visa Consulting & Analytics

Ashburn, VA · Hybrid

Drawing on our expertise in strategy consulting, data analytics, brand management, marketing ... The VCA team is looking for a Director to join our Digital Partner & Fintech segment and play a ...

Visa

Director, Visa Consulting & Analytics

Ashburn, VA · On-site

Drawing on our expertise in strategy consulting, data analytics, brand management, marketing ... The VCA team is looking for a Director to join our Digital Partner & Fintech segment and play a ...

Capital One

Director, Data Scientist

Mclean, VA

Director, Data Scientist Data is at the center of everything we do. As a startup, we disrupted the ... You love the process of analyzing and creating, but also share our passion to do the right thing.

Capital One

Director, Data Scientist

Mclean, VA · On-site

Director, Data Scientist Data is at the center of everything we do. As a startup, we disrupted the ... You love the process of analyzing and creating, but also share our passion to do the right thing.

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All JobsData Analytics JobsData Analytics Director JobsData Analytics Director Jobs in Washington

Data Analytics Director information

See Washington salary details

$80.4K

$179.1K

$276.9K

How much do data analytics director jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data analytics director in Washington is $179,082.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,800.00 and $203,900.00 per year, depending on experience, location, and employer.

What does a Data Analytics Director do?

A Data Analytics Director is responsible for overseeing the data analytics department within an organization. They lead teams that collect, process, and interpret large sets of data to provide actionable insights for business decision-making. This role involves developing data strategies, implementing analytical tools and techniques, and ensuring data quality and security. The Data Analytics Director also collaborates with other departments to align analytics initiatives with organizational goals and drive data-driven growth.

What are the key skills and qualifications needed to thrive as a Data Analytics Director?

To thrive as a Data Analytics Director, you need advanced expertise in data analysis, statistical modeling, and business intelligence, typically supported by a relevant degree and significant experience in analytics leadership. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, along with knowledge of data governance and cloud technologies, is essential. Exceptional leadership, strategic thinking, and communication skills help drive cross-functional collaboration and translate data insights into business value. These competencies are crucial for guiding analytic strategy, ensuring data-driven decision-making, and maximizing organizational impact.

What are some common challenges faced by a Data Analytics Director when aligning analytics initiatives with business objectives?

A Data Analytics Director often encounters challenges in ensuring that analytics projects are closely aligned with the strategic goals of the organization. This includes bridging communication gaps between technical teams and business stakeholders, prioritizing projects with the highest business impact, and managing expectations regarding what data analytics can deliver. Additionally, it can be challenging to foster a data-driven culture across departments and to secure buy-in for data initiatives. Effective collaboration, clear communication, and a strong understanding of both analytics and business priorities are essential to overcome these hurdles.

What is the difference between Data Analytics Director vs Data Scientist?

AspectData Analytics DirectorData Scientist
Required CredentialsBachelor's or Master's in Data Science, Business, or related field; often requires leadership experienceBachelor's, Master's, or Ph.D. in Data Science, Statistics, or related field; technical expertise in modeling
Work EnvironmentLeadership role overseeing analytics teams, strategic planning, and project managementHands-on data analysis, model development, and algorithm implementation
Employer & Industry UsageUsed in corporate, finance, healthcare, and tech sectors for strategic decision-makingCommon in tech, research, and analytics firms for developing data models and insights

The main difference is that a Data Analytics Director focuses on leading analytics teams and strategic initiatives, while a Data Scientist is primarily involved in technical data modeling and analysis. Both roles require strong analytical skills, but the Director role emphasizes leadership and business strategy.

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 Director jobs in Washington?

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

What job categories do people searching Data Analytics Director jobs in Washington look for?

The top searched job categories for Data Analytics Director jobs in Washington are:

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

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

Data Analytics Director jobs near you
Infographic showing various Data Analytics Director job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $179,082 per year, or $86.1 per hour.

Manager, SQFI Business & Data Analytics

FMI

Arlington, VA

Full-time

Posted 13 days ago

Job description

Primary Purpose:

Responsible for advancing SQFI's business intelligence and analytics capability by transforming certification, audit, customer, and financial data into insight that drives decisions. This role owns the reporting and data quality foundation across SQFI, partnering with other teams, IT, and vendors to build dashboards, develop predictive and AI-assisted analysis, and deliver executive-ready recommendations that strengthen operational efficiency and the integrity of SQFI certification.

Essential Job Functions:

  • Analytics & Data Engineering: Build and maintain the data models, pipelines, and semantic layers that turn certification, audit, customer, and financial data into reliable analytics assets. Develop dashboards and reporting in Power BI, write advanced SQL against SQFI's cloud data warehouse, and apply Python and AI-assisted methods to surface trends, forecast outcomes, and answer questions leadership hasn't thought to ask yet.
  • Data Integration: Facilitate the integration of data from disparate systems to ensure consistency and reliability for analysis and reporting.
  • Requirements Gathering: Collaborate with stakeholders to identify, document, and prioritize business requirements and system enhancements.
  • Process Improvement: Identify and implement process optimizations to streamline SQFI’s audit management system, data, and associated workflows. Lead ongoing reviews of business processes and develop optimizations strategies.
  • Stakeholder Collaboration: Engage with internal teams, vendors, and external stakeholders to define, refine, and manage project scope and requirements.
  • Documentation & Reporting: Create clear, detailed and well-structured documentation, including functional specifications, process maps, data models, reports, visualizations and dashboards to communicate findings and KPIs to senior management.
  • Testing & Validation: Lead testing efforts to ensure system modifications meet business requirements, coordinating UAT (User Acceptance Testing) and resolving issues.
  • Change Management: Support change management processes by assessing impact, planning, and executing implementation strategies for system updates.
  • Training & Support: Train business users on new systems and enhancements. Offer ongoing support post-implementation to ensure smooth transitions and optimal system use.
  • Collaboration: Partner with cross-functional teams to develop and implement data-driven solutions.
  • Make Recommendations: Must be able to deliver effective solutions to leadership that provide tangible benefits within short timeframes. Identify specific business opportunities and ways to capitalize on them.
  • Project Management: Lead or support projects aimed at improving SQFI information systems, ensuring projects are delivered on time and within budget.

Other Job Functions:

  • Other responsibilities and duties as assigned or directed.

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