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Analytics Manager Jobs in Silver Spring, MD (NOW HIRING)

Ra

Customer Analytic Manager

Washington, DC

Customer Analytics Manager Job Location: Anywhere in USA, Washington DC, United States Job Level: Senior Level This is what you will do.. You will help to grow clients practice in the Communications ...

Ra

Customer Analytic Manager

Arlington, VA

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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All JobsAnalytics JobsAnalytics Manager JobsAnalytics Manager Jobs in Silver Spring, MD

Analytics Manager information

See Silver Spring, MD salary details

$66.7K

$129.6K

$185K

How much do analytics manager jobs pay per year?

As of Aug 6, 2026, the average yearly pay for analytics manager in Silver Spring, MD is $129,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,400.00 and $154,000.00 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.

Is data analytics a high paying job?

Data analytics roles, including Analytics Managers, tend to offer high salaries compared to many other positions, especially with experience and advanced skills in tools like SQL, Python, or Tableau. Compensation varies by industry, location, and company size, but generally, analytics managers earn above average salaries in the job market.

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.

How much do analytics managers make in the US?

Analytics managers in the US typically earn a median salary of around $100,000 to $130,000 per year, depending on experience, industry, and location. Senior roles or those with specialized skills in data tools and leadership may earn higher compensation, often exceeding $150,000 annually.
More about Analytics Manager jobs
What are the most commonly searched types of Analytics jobs in Silver Spring, MD? The most popular types of Analytics jobs in Silver Spring, MD are:
What are popular job titles related to Analytics Manager jobs in Silver Spring, MD? For Analytics Manager jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Analytics Manager jobs in Silver Spring, MD look for? The top searched job categories for Analytics Manager jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Analytics Manager jobs? Cities near Silver Spring, MD with the most Analytics Manager job openings:
Analytics Manager jobs near you
Infographic showing various Analytics Manager job openings in Silver Spring, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $129,559 per year, or $62.3 per hour.

Data Analytics Manager II

Bloomberg Industry Group

Arlington, VA • On-site

$105K - $135K/yr

Full-time

Re-posted 11 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 design and instrument scalable data solutions, build robust pipelines, and uncover actionable patterns across the internal and external customer journey. 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:
  • 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.

You need to have:
  • 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.

Special Requirements:
  • Candidates may be required to pass a test for this position.

Compensation Range:
$105,000.00-$135,000.00
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
Bloomberg Industry Group maintains a continuing policy of non-discrimination in employment. It is Bloomberg Industry Group'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 ("Protected Characteristic"). 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 ("Discrimination").

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