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Analytics Manager Jobs in Reston, VA (NOW HIRING)

As a Manager, Strategy, Growth, and Transformation on the M&A team, you will be a key member serving client M&A deal teams through gathering, analyzing, validating, and normalizing transactional ...

The Manager works closely with the Topline Analytics team to execute against defined priorities, translating business needs into scalable analytical workflows and outputs. The position emphasizes ...

Customer Analytics Manager Job Location: Anywhere in USA, Arlington, VA, USA Job Level: Senior Level This is what you will do.. You will help to grow clients practice in the Communications, Media ...

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Analytics Manager information

See Reston, VA salary details

$67.1K

$130.4K

$186.2K

How much do analytics manager jobs pay per year?

As of Jul 13, 2026, the average yearly pay for analytics manager in Reston, VA is $130,384.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $155,000.00 per year, depending on experience, location, and employer.

What Is an Analytics Manager?

An analytics manager translates raw data into insights that a business can use. Usually leading a team of analysts, your job duties include developing data analysis strategies, tracking and reporting on performance, implementing tools and solutions, and overseeing all analytics operations. You must stay up-to-date on current industry trends. Strong communication and analytical skills are required. Other qualifications include a bachelor’s degree in statistics, data management, or information technology and proven career experience in market research, statistical modelings, or project management.

What are Analytics Managers?

Analytics Managers are professionals responsible for overseeing the collection, analysis, and interpretation of data to help organizations make informed business decisions. They lead teams of data analysts, develop strategies for data management, and translate complex data findings into actionable insights. Analytics Managers often collaborate with other departments to identify business challenges and recommend data-driven solutions. Their role is crucial in enabling companies to optimize processes, improve performance, and gain a competitive edge.

What is the difference between Analytics Manager vs Data Analyst?

AspectAnalytics ManagerData Analyst
Required CredentialsBachelor's or Master’s in Business, Analytics, or related fields; often certifications in analytics toolsBachelor's degree in Statistics, Mathematics, or related fields; certifications in data analysis tools
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersPerforms data cleaning, analysis, and reporting; works under supervision
Employer & Industry UsageUsed in corporate, finance, marketing, and tech sectors for strategic decision-makingCommon in research, finance, healthcare, and marketing for data insights

While both roles involve working with data, the Analytics Manager oversees teams and strategic projects, whereas Data Analysts focus on data collection, analysis, and reporting. The Analytics Manager typically has more leadership responsibilities and a broader scope.

How does an Analytics Manager typically collaborate with cross-functional teams to drive business insights?

Analytics Managers frequently work alongside teams such as marketing, product development, finance, and operations to translate data into actionable business strategies. They facilitate meetings to understand stakeholder goals, guide data collection efforts, and present findings in a way that's accessible to non-technical audiences. This cross-functional collaboration ensures that insights are aligned with business objectives and that projects are implemented effectively. Strong communication and project management skills are essential for success in this collaborative environment.

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

To thrive as an Analytics Manager, you need strong analytical skills, data interpretation expertise, leadership experience, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with analytics platforms (such as Tableau, Power BI), programming languages (like SQL, Python, or R), and data management systems is essential, along with relevant certifications such as Google Analytics or Certified Analytics Professional (CAP). Excellent communication, problem-solving, and stakeholder management skills help you translate complex data insights into actionable business strategies. These competencies ensure data-driven decision-making, effective team leadership, and impactful business outcomes.
What are the most commonly searched types of Analytics jobs in Reston, VA? The most popular types of Analytics jobs in Reston, VA are:
What are popular job titles related to Analytics Manager jobs in Reston, VA? For Analytics Manager jobs in Reston, VA, the most frequently searched job titles are:
What cities near Reston, VA are hiring for Analytics Manager jobs? Cities near Reston, VA with the most Analytics Manager job openings:
Infographic showing various Analytics Manager job openings in Reston, VA as of July 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $130,384 per year, or $62.7 per hour.
Data Analytics Manager II

Data Analytics Manager II

Bloomberg Industry Group

Arlington, VA • On-site

Full-time

Posted 17 days ago


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.