Data Management – Data Analyst – Sr

Strategic Staffing Solutions, Inc.; McLean (VA); Hybrid; USD 57,000 - 81,000; Full time

Job summary

Strategic Staffing Solutions, Inc. is seeking a Senior Data Analyst for a hybrid role in the Richmond, VA or McLean, VA area. The contract spans 15 months with a pay rate of $50 per hour (W2 only).

The role focuses on enterprise data management, governance, analytics, and reporting within a large-scale data environment. You will collaborate with data analysts, risk managers, and data product teams to improve data quality, automate controls, and deliver actionable insights using Python, SQL,

Qualifications

• Experience with large enterprise data environments.
• Hands-on Python and SQL for analysis and automation.
• Experience with PySpark and Databricks.
• Experience with BI tools; QuickSight preferred.
• Strong data governance and data quality knowledge.
• Ability to translate technical findings to business.

Responsibilities

• Develop and improve data management controls and analytics in a large-scale data environment.
• Collaborate with data product teams and stakeholders to strengthen data governance and quality.
• Analyze large datasets using Python, SQL, PySpark, Databricks, and BI tools to deliver actionable insights.
• Design and enhance reporting solutions, dashboards and analytical processes for decision support.
• Identify opportunities to automate and improve data workflows and controls.

Skills

Data analysis

Python

SQL

AI tools

Problem solving

Communication

Independent work

Tools

PySpark

Databricks

Amazon QuickSight

Job description

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.