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Senior Data Analyst Jobs in Rosedale, MD (NOW HIRING)

PEMCCO

Senior Transit Data Analyst

Baltimore, MD · On-site

We are seeking a Senior Transit Data Analyst to lead business intelligence, performance management, and advanced analytics initiatives that support transit operations, service delivery, safety ...

New

PEMCCO

Senior Transit Data Analyst

Baltimore, MD · On-site

$45.10 - $58.63/hr

We are seeking a Senior Transit Data Analyst to lead business intelligence, performance management, and advanced analytics initiatives that support transit operations, service delivery, safety ...

New

PEMCCO, Inc.

Senior Transit Data Analyst

Baltimore, MD

$45.10 - $58.63/hr

We are seeking a Senior Transit Data Analyst to lead business intelligence, performance management, and advanced analytics initiatives that support transit operations, service delivery, safety ...

PEMCCO, Inc.

Senior Transit Data Analyst

Baltimore, MD · On-site

$45.10 - $58.63/hr

We are seeking a Senior Transit Data Analyst to lead business intelligence, performance management, and advanced analytics initiatives that support transit operations, service delivery, safety ...

Elder Research

Senior Data Scientist

Fort George G Meade, MD · On-site +1

$150K - $220K/yr

Senior Data Scientist General Information Requisition #729 Locations USA-MD-Ft. Meade Posting Date ... Translate complex data analysis into clear, actionable recommendations. * Collaborate with subject ...

Elder Research

Senior Data Scientist

Fort George G Meade, MD · On-site +1

$150K - $220K/yr

Senior Data Scientist General Information Requisition #729 Locations USA-MD-Ft. Meade Posting Date ... Translate complex data analysis into clear, actionable recommendations. * Collaborate with subject ...

New

Leidos

Data Analyst

Odenton, MD · On-site

We are looking for a results-driven Data Analyst to join the Nuclear Command, Control, and ... senior leaders that enables the modernization and evolution of NC3 capabilities. This is your ...

Leidos

Data Analyst

Odenton, MD · On-site

We are looking for a results-driven Data Analyst to join the Nuclear Command, Control, and ... senior leaders that enables the modernization and evolution of NC3 capabilities. This is your ...

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All JobsData Analyst JobsSenior Data Analyst JobsSenior Data Analyst Jobs in Rosedale, MD

Senior Data Analyst information

See Rosedale, MD salary details

$52.8K

$95.2K

$130K

How much do senior data analyst jobs pay per year?

As of Jul 30, 2026, the average yearly pay for senior data analyst in Rosedale, MD is $95,176.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,500.00 and $104,100.00 per year, depending on experience, location, and employer.

What are Senior Data Analysts?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What Does a Senior Data Analyst Do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

What is the difference between Senior Data Analyst vs Data Scientist?

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

What are some common challenges Senior Data Analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

What are the key skills and qualifications needed to thrive as a Senior Data Analyst, and why are they important?

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

Is 40 too late for data science?

For a senior data analyst role, age is not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on relevant skills such as programming, statistical knowledge, and experience with tools like Python or SQL, regardless of age. Continuous learning and certifications can also enhance prospects in the field.

Is a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets to support business decisions, often requiring proficiency in tools like SQL, Python, or R. It offers competitive salaries, opportunities for advancement, and the chance to work in various industries such as finance, healthcare, or technology.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but senior data analysts play a crucial role in interpreting complex data, developing insights, and making strategic decisions. Their expertise in understanding context, storytelling with data, and applying domain knowledge remains essential despite advancements in automation and machine learning. Therefore, AI is more likely to augment rather than fully replace senior data analysts.

What is the highest salary for a senior data analyst?

The highest salary for a senior data analyst can reach up to $120,000 to $150,000 annually, depending on factors such as location, industry, experience, and company size. In some cases, with advanced skills in SQL, Python, or data visualization tools, and certifications, top earners may exceed this range.
More about Senior Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Rosedale, MD? The most popular types of Data Analyst jobs in Rosedale, MD are:
What cities near Rosedale, MD are hiring for Senior Data Analyst jobs? Cities near Rosedale, MD with the most Senior Data Analyst job openings:
Senior Data Analyst jobs near you
Infographic showing various Senior Data Analyst job openings in Rosedale, MD as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $95,176 per year, or $45.8 per hour.

Senior Data Analyst - Subject Matter Expert (SME)

AGE Solutions

Fort George G Meade, MD

$120K/yr

Other

Re-posted 24 days ago

Job description

AGE Solutions is seeking a highly skilled and analytical Senior Data Analyst - Subject Matter Expert (SME) to support enterprise-level data analytics, reporting, and customer experience initiatives within a complex IT Service Management (ITSM) environment. The ideal candidate will leverage advanced analytical techniques, data visualization, statistical modeling, and customer experience analytics to provide actionable insights that improve operational performance, service delivery, and customer satisfaction.

This role requires a strategic thinker with strong technical expertise, exceptional communication skills, and the ability to collaborate across technical and business teams to drive data-informed decision-making.

Responsibilities Include:

  • Analyze large and complex datasets to identify trends, patterns, anomalies, and opportunities for operational improvement.
  • Develop and maintain dashboards, scorecards, and executive-level reporting using data visualization tools such as Tableau, Power BI, or QlikView.
  • Support IT Service Management (ITSM) initiatives through analysis of incident, problem, change, request, and service performance metrics.
  • Conduct customer experience analytics and customer journey mapping to improve service quality and user satisfaction.
  • Perform trend analysis, forecasting, root cause analysis, and predictive analytics to support strategic decision-making.
  • Design and execute statistical analyses and machine learning models to support operational and business objectives.
  • Develop SQL queries and work with structured and unstructured data from multiple sources and databases.
  • Support data warehousing, ETL processes, and data integration efforts across enterprise systems.
  • Collaborate with cross-functional stakeholders, technical teams, and leadership to translate business requirements into analytical solutions.
  • Present findings, recommendations, and insights to senior leadership and stakeholders in a clear and actionable manner.
  • Ensure compliance with data governance policies, regulatory requirements, and data privacy standards.
  • Identify opportunities to improve analytics methodologies, reporting processes, and data quality practices.
  • Support continuous process improvement initiatives and innovation within the analytics environment.
  • Provide subject matter expertise in analytics best practices, ITSM reporting, and performance measurement.

Required Qualifications:

  • Education:
    • Bachelor's degree in Data Science, Computer Science, Information Systems, Statistics, or a related field.
  • Certifications:
    • Certified Analytics Professional (CAP), Microsoft Certified: Data Analyst Associate, or ITIL Foundation Certification
    • Certifications in Customer Experience Management and/or Data Science preferred
  • Security Clearance:
    • DoD Secret or Top Secret
  • Experience, Skills, and Knowledge:
    • 8+ years of experience in data analysis, preferably supporting IT Service Management (ITSM) environments or related domains.
    • Proven experience working with ITSM platforms such as ServiceNow, BMC Remedy, or Cherwell.
    • Experience in customer experience analytics and customer journey mapping.
    • Demonstrated expertise with data visualization and business intelligence tools including Tableau, Power BI, or QlikView.
    • Strong experience with SQL and database management concepts.
    • Proficiency with analytical and statistical tools such as Python, R, or SAS.
    • Strong statistical analysis skills and familiarity with machine learning algorithms and predictive analytics techniques.
    • Advanced Microsoft Excel skills for data analysis, modeling, and reporting.
    • Familiarity with ITIL framework and ITSM best practices.
    • Experience with data warehousing concepts and ETL processes.
    • Strong analytical thinking, troubleshooting, and problem-solving abilities.
    • Ability to interpret complex datasets and translate findings into actionable business insights.
    • Excellent written and verbal communication skills with the ability to present technical information to non-technical audiences.
    • Demonstrated ability to work effectively in cross-functional and collaborative environments.
    • Strong attention to detail and commitment to data accuracy and integrity.
    • Experience briefing senior leadership and preparing executive-level reports and presentations.
    • Demonstrated ability to improve and innovate analytics processes and methodologies.
    • Understanding of regulatory compliance requirements and data privacy laws related to data handling and protection.

Preferred Qualifications:

  • Experience supporting Federal Government or Department of Defense (DoD) environments

Compensation: $120,000+

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