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Senior Data Associate Jobs in Baltimore, MD (NOW HIRING)

Pwc

Data Engineer - Senior Associate

Baltimore, MD · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

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Senior Data Associate information

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

AspectSenior Data AssociateData Analyst
Required CredentialsBachelor's degree in data-related field; experience in data managementBachelor's degree in statistics, data science, or related field; analytical skills
Work EnvironmentData teams within corporate or research settings, often supporting data operationsBusiness or research environments analyzing data to inform decisions
Employer & Industry UsageUsed in finance, healthcare, tech companies for data support rolesCommon across industries for data interpretation and reporting

The main difference is that Senior Data Associates focus on managing and supporting data processes, while Data Analysts primarily interpret data to generate insights. Senior Data Associates often handle data quality and operations, whereas Data Analysts focus on analysis and reporting.

What are the key skills and qualifications needed to thrive as a senior data associate, and why are they important?

To thrive as a Senior Data Associate, you need expertise in data analysis, data management, and a solid understanding of database systems, often supported by a degree in statistics, computer science, or a related field. Familiarity with tools such as SQL, Python, Excel, and data visualization platforms like Tableau is typically required. Strong attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and collaborating with stakeholders. These skills ensure accurate data insights, drive informed business decisions, and facilitate efficient teamwork within data-driven organizations.

What is a senior data associate?

Senior Data Associates are experienced professionals who manage, analyze, and interpret large datasets to support business decision-making. They are responsible for data cleaning, validation, and organization, as well as designing and implementing data collection processes. Senior Data Associates often collaborate with data scientists, analysts, and other stakeholders to ensure data accuracy and accessibility. Their role typically requires strong analytical skills, attention to detail, and proficiency in data management tools and programming languages such as SQL or Python.

How do senior data associates typically collaborate with cross-functional teams within an organization?

Senior Data Associates often work closely with teams such as engineering, product management, and business analytics to ensure data integrity and support organizational goals. They are responsible for translating business requirements into data solutions, managing data pipelines, and providing actionable insights. Regular communication and collaboration are essential, as they often participate in meetings to discuss project progress, data quality issues, and upcoming analytical needs. This cross-functional interaction not only enhances the impact of their work but also fosters a collaborative, learning-oriented environment.
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Senior Data Associate jobs near you

Senior Data Analyst - Subject Matter Expert (SME)

AGE solutions

Fort George G Meade, MD

$95K - $120K/yr

Full-time

Re-posted 3 days ago

Job description

About Us
AGE Solutions is a premier technology and professional services company, providing in-depth consulting, advanced technology solutions, and essential services throughout the U.S. government, defense, and intelligence sectors. Prioritizing innovation and client-focused solutions, we assist major agencies in addressing intricate issues and ensuring a more secure future.

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+

At AGE Solutions, we reward performance, invest in growth, and share success. Our benefits support the whole person, professionally, financially, and personally.

  • 26 Days Paid Leave: Includes vacation, sick, personal time, and holidays. You choose how to use it.
  • Performance Bonuses: Performance bonuses are awarded based on individual contributions and company-wide results, aligning recognition with impact.
  • 401(k) with Match: We match 3% of your contributions with immediate vesting.
  • Financial Protection: Company-paid life insurance up to $300K and options for additional coverage for you and your dependents.
  • Health Benefits: Multiple medical plans, dental, vision, FSA and HSA options to fit your needs.
  • Parental Leave: 15 days of fully paid leave for new parents, because family matters.
  • Military Differential Pay: We bridge the gap for employees on active duty, so they don't take a financial hit while serving.
  • Professional Growth: Paid training and certifications, tuition reimbursement, and the tools and tech to get the job done right.
  • Shared Success: In the event of a company sale, our CEO has committed to returning 80% of net proceeds to employees. This ensures our team shares in the long term value they help create.

At AGE, you'll do work that matters, supported by a company that delivers for its people.