Data Management – Data Analyst – Sr

Job Title: Senior Data Analyst

Location: Richmond, VA or McLean, VA (Hybrid)

Duration: 15 Months

Pay Rate: $50/HR (W2 Only)

Job/Role Description:

• This role supports enterprise data management strategy by developing and improving data management controls, analytics, and reporting within a large-scale data environment.

• Work closely with data analysts, risk managers, business stakeholders, and data product teams to strengthen data governance, improve data quality, and support strategic data initiatives.

• Leverage advanced analytical skills and technologies, including Python, SQL, PySpark, Databricks, and business intelligence tools, to analyze large datasets and deliver actionable insights.

• Design, develop, and continuously improve data management controls while independently evaluating their effectiveness and adherence to established methodologies.

• Support data governance transformation initiatives focused on automation, preventative controls, risk management, and operational efficiency.

• Work hands-on with large volumes of data across evolving data environments to identify trends, troubleshoot issues, and implement technical improvements.

• Develop and enhance reporting solutions, dashboards, and analytical processes to improve transparency and support business decision-making.

• Collaborate with cross-functional business units and data product teams to gather requirements, translate technical findings, and deliver meaningful insights.

• Leverage AI tools and automation technologies to streamline workflows, improve efficiency, and support innovation.

• Contribute to enterprise data products throughout the full data lifecycle, ensuring effective data management and governance practices.

• Identify opportunities to simplify processes, strengthen controls, improve accountability, and enhance data management capabilities.

• Share technical expertise, analytical insights, and best practices with broader data and business teams.

• Independently troubleshoot complex data issues, proactively identify solutions, and drive initiatives with minimal supervision.

Required Qualifications

• Strong experience as a Data Analyst or Senior Data Analyst working with large datasets in enterprise data environments.

• Strong hands-on experience with Python and SQL for data analysis, manipulation, and automation.

• Experience with PySpark for large-scale data processing and analytics.

• Experience with Databricks for data engineering, analytics, or processing workflows.

• Experience with business intelligence and reporting tools; Amazon QuickSight preferred.

• Strong understanding of data management, data governance, data quality, and data lifecycle processes.

• Experience developing, implementing, or improving data management controls and analytical reporting solutions.

• Ability to analyze complex datasets, identify trends, troubleshoot data issues, and deliver actionable business insights.

• Experience leveraging AI tools to improve productivity, streamline processes, and enhance analytical efficiency.

• Strong communication skills with the ability to translate complex technical concepts and analytical findings to nontechnical business stakeholders.

• Experience gathering business requirements and collaborating with cross-functional teams to deliver data-driven solutions.

• Strong analytical, critical-thinking, and problem-solving abilities.

• Ability to work independently, proactively identify issues, and troubleshoot technical challenges with minimal supervision.

• Experience with process improvement, automation, and technical innovation.

• Strong organizational skills, attention to detail, and ability to manage multiple priorities in a fast-paced environment.

• Ability to work effectively in a collaborative, team-oriented environment.

• Experience in financial services, risk management, or enterprise data governance environments preferred.

• Must be able to work onsite in Richmond, VA or McLean, VA in a hybrid capacity.…