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Analytics Manager Jobs in Frederick, MD (NOW HIRING)

MELE Associates

Management Analyst

Germantown, MD · On-site

$115/hr

MELE Associates, Inc. is seeking to add an experienced Management Analyst to support the National Nuclear Security Administration (NNSA) in the execution of its mission, including providing technical ...

Varsity Tutors

Business Analytics Tutor

Leesburg, VA · Remote

$18 - $40/hr

Ability to explain statistical modeling techniques, machine learning basics, and business intelligence dashboard design while preparing students for analytics roles and data-driven management ...

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All JobsAnalytics JobsAnalytics Manager JobsAnalytics Manager Jobs in Frederick, MD

Analytics Manager information

See Frederick, MD salary details

$64.1K

$124.6K

$178K

How much do analytics manager jobs pay per year?

As of Aug 10, 2026, the average yearly pay for analytics manager in Frederick, MD is $124,608.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $148,100.00 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.
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Analytics Manager jobs near you
Infographic showing various Analytics Manager job openings in Frederick, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 33% In-person, and 67% Remote job distribution, with an average salary of $124,608 per year, or $59.9 per hour.

BI & Analytics Analyst/Data Engineer

JSSA

Rockville, MD • On-site

Full-time

Posted 23 days ago

Job description

JSSA has been helping individuals and families across the Washington metro area through a wide range of counseling, educational, special needs services, in-home support, hospice and nursing care, and social services. BI & Analytics Analyst/Data Engineer is the key resource for JSSA, and is responsible for all engineering, development, support, and management of data and analytics solutions within the agency.
About the role:
We are looking for a driven, analytically sharp BI & Analytics Analyst / Data Engineer to join our growing IT team. This is a hybrid role with an equal split between business intelligence delivery and hands-on data engineering - ideal for someone who loves both telling stories with data and building the infrastructure that powers them.
You will own the end-to-end analytics lifecycle: from shaping SQL Server data warehouse structures to delivering polished, self-service Power BI reports. You will work closely with business stakeholders, 3rd-party data engineers (source data), and IT business partners (and their stakeholders) to turn raw data into reliable, scalable, and actionable insight.
Essential Functions:
Business Intelligence & Analytics
  • Works with IT business partners and operational leaders to design analyses that identify opportunities for improvement in care, evaluates adherence to clinical best practice, and measures outcomes.
  • Assists with ensuring that agency data repositories produce consistent, reusable data through collaboration with key staff to develop, implement and provide guidance on standards and best practices.
  • Promotes best-practice knowledge and use to business stakeholders enabling self-service analysis vs. IT owned development.
  • Own self-service reporting datasets, including DAX measures, data models, and row-level security.
  • Translate business requirements into clear analytical deliverables, manage stakeholder expectations and iterate based on feedback.
  • Monitor report usage and data quality, proactively identifying and resolving issues.
  • Document data definitions, metric logic, and report lineage to support a data-literate culture within the agency.
  • Uses technical tools to query, manipulate, and summarize data from various data sources.
  • Assists in designing, developing, maintaining, and updating databases on department and organizational needs.

Data Engineering
  • Design and build star schema data warehouse objects in SQL Server, including fact tables, dimension tables, and aggregate layers.
  • Write and maintain T-SQL stored procedures, ETL pipelines, and staging-to-DWH data loads.
  • Develop and own source-to-target mapping documentation for new data domains.
  • Integrate data from source systems.
  • Contribute to data quality, pipeline reliability, and warehouse performance optimization
  • Support the adoption of self-service analytics by building clean, well-documented datasets.
  • Document current data architecture, define logical/physical data and establish agency data blueprint.
  • Management and support of data warehouse solution (Wherescape RED), SQL Server and associated te

Data Management
  • Define operational monitoring and alerting tools to ensure end to end delivery of trusted, quality data from source systems to consumption.
  • Establish best practice standards and processes for data automation, orchestration, and transformation.
  • Identify, design, implement and manage master data management solution for client and employee subjects. Work with key stakeholders to define data quality standards and operational DQ processes.

Minimum Education, Licensure, and Work Experience Required:
  • Bachelor's degree required; Master's degree highly preferred
  • 5-7+ years of experience in a BI, analytics, or data engineering role
  • Strong proficiency in SQL Server and T-SQL - including stored procedures, window functions, and query optimization
  • Hands-on experience building and maintaining Power BI reports and semantic models (DAX, Power Query)
  • Hands-on experience with Wherescape OLAP solution. Experience with alternative OLAP solutions (e.g., Azure Analysis Service, Azure Data Lake, and Azure Synapse Analytics).
  • Experience integrating or working with EHR data (reports, APIs, or data exports)
  • Familiarity with star schema / dimensional modelling concepts (Kimball methodology a plus)
  • Python experience for data wrangling, automation, or pipeline scripting
  • Experience with Microsoft Master Data Services (MDS), including defining entities, and creation of business rules.
  • Experience with Microsoft Data Quality Services (DQS) and SQL Server Integration Services (SSIS).
  • Comfortable working across the full analytics stack - from raw source data to end-user report.
  • Strong communication skills - able to explain data concepts clearly to non-technical stakeholders.
  • Advanced skill set with Microsoft office suite (Power BI), SQL, and experience with EMR systems (hospice, homecare, and/or mental health) desired.

Salary 110-132K
The Jewish Social Service Agency (JSSA) has been helping people across the Washington metropolitan area meet emotional, social, and physical challenges for more than 120 years. A nonsectarian provider, we serve people of all religious backgrounds, races and ethnicities, helping the youngest child to the most fragile senior, from individuals to entire families. JSSA provides services and support to nearly 31,000 individuals a year through our wide range of counseling, educational, specialized employment, in-home support, hospice and nursing care, and social services. We are a growing Agency and strive to be an Employer of Choice. As such we offer a competitive salary and benefits package, a healthy work-life balance, collaborative team environment and many opportunities for personal growth and professional development. We pride ourselves on our mission to be the first place for the Jewish community, as well as the community at large, to turn for clinical and social services of the highest quality that sustain and nurture all who seek assistance. We are an Equal Opportunity Employer. AA/M/F/D
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About JSSA

Sourced by ZipRecruiter

Industry

Individual, family and community social assistance

Company size

201 - 500 Employees

Headquarters location

Rockville, MD, US

Year founded

1893

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