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Data Analytics Manager Jobs in McLean, VA (NOW HIRING)

Bloomberg BNA

Data Analytics Manager, Senior

Arlington, VA · 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 ...

Socket.dev

Data Analytics Manager, Senior

Arlington, VA · 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

Manager, Data Analytics - Remote

Reston, VA · Remote

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 ...

Deloitte

M&A Data Analytics Manager

Mclean, VA · On-site

You will work as part of cross-functional teams providing financial, accounting, operational and commercial due diligence, bringing your skills to the M&A deal to manage and analyze the data in ...

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All JobsData Analytics JobsData Analytics Manager JobsData Analytics Manager Jobs in McLean, VA

Data Analytics Manager information

See McLean, VA salary details

$31.8K

$99.7K

$176.4K

How much do data analytics manager jobs pay per year?

As of Aug 28, 2026, the average yearly pay for data analytics manager in McLean, VA is $99,656.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,700.00 and $128,700.00 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 McLean, VA?

The most popular types of Data Analytics jobs in McLean, VA are:

What are popular job titles related to Data Analytics Manager jobs in McLean, VA?

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

What job categories do people searching Data Analytics Manager jobs in McLean, VA look for?

The top searched job categories for Data Analytics Manager jobs in McLean, VA are:

What cities near McLean, VA are hiring for Data Analytics Manager jobs?

Cities near McLean, VA with the most Data Analytics Manager job openings:

Data Analytics Manager jobs near you
Infographic showing various Data Analytics Manager job openings in McLean, VA as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $99,656 per year, or $47.9 per hour.

Data Analytics Manager II

Arlington, VA • On-site

Bloomberg Industry Group
Library and Information Services • 51 - 200 employees
Learn more about Bloomberg Industry Groupexternal

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Summary:
Bloomberg Industry Group is seeking a Data Analytics Manager II to drive meaningful business impact through strategic insights derived from complex data. This role involves leading analytics processes, developing BI solutions, and collaborating with cross-functional teams to enhance decision-making and operational efficiency.
Responsibilities:
• 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 customer engagement of relevant system.
• Develop forecasting models and dashboards to support and measure impact of strategic planning or product utilization.
• Manage and innovate data sets and data platforms, ensuring scalable, high-performing, and compliant data assets across the organization.
• Partner with teams across the organization to align data initiatives, define KPIs, and democratize access to insights through self-service tools and training.
• Own and drive cross-functional relationships across the business, act as the liaison between the analytics team and key business stakeholders across these teams.
• Implement and maintain data collection systems, and quality control strategies to optimize statistical efficiency and data quality.
• Translate complex data into clear, compelling narratives and visualizations for non-technical stakeholders, enabling informed decision-making at all levels.
• 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.
Qualifications:
Required:
• Bachelor’s degree in Business, Mathematics, Statistics, Computer Science, related field, or equivalent practical experience.
• 5+ years of data analysis experience, leveraging descriptive and predictive techniques on large, complex datasets from multiple sources.
• 3+ years of experience working with large datasets from diverse sources, producing actionable reports, and presenting findings.
• 3+ years of experience presenting insights to senior leadership or high-level audiences.
• 1+ years of experience uncovering data insights to form hypotheses, designing product experiments, evaluating results, and making recommendations.
• Strong experience in product analytics, sales analytics, or data strategy roles.
• Strong analytical skills to organize, analyze, and communicate complex data with accuracy and detail.
• Skilled in collaborating with stakeholders, translating requirements into actionable analytical 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.
• 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.
• Proven ability to lead cross-functional projects.
• Excellent communication and stakeholder engagement skills.
• Familiarity with data privacy standards and compliance best practices.
Company:
Bloomberg Industry Group empowers professionals in government, law, tax and accounting with essential data, news, and analysis. Founded in 1929, the company is headquartered in Arlington, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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