Data Quality Analyst

LMI is seeking a skilled Data Quality Analyst to support data management initiatives for logistics catalog data that seek to improve the structure, quality, usability, and manageability of the catalog. Successful Data Quality Analysts demonstrate successful experience with Data Quality and managing and resolving large amount of complex Data Quality issues.  This position requires data analysis, problem-solving, and communication with various data stakeholders. Secret clearance eligibility is required.

LMI: Innovation at the Pace of Need™

At LMI, we’re reimagining the path from insight to outcome at The New Speed of Possible™. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs. 

This Data Quality Analyst will join a team supporting the Defense Logistics Agency (DLA) and will play a crucial role in ensuring the accuracy and consistency of logistics catalog data, ultimately supporting catalog transformation and improved usability and manageability.­­ Responsibilities include: 

• Rapidly navigate learning curve of complex logistics catalog data, its structure, and dependencies.
• Execute complex data cleansing logic and data entry tasks to improve overall data.
• Develop and maintain documentation of Data Quality processes and procedures.
• Identify and address Data Quality issues and discrepancies, working closely with data entry staff and other team members.
• Collaborate with IT teams to troubleshoot and resolve technical issues related to Data Quality
• Derive insights and analytic narratives from data and visualizations for effective storytelling and clear communication in response to Data Quality research questions. 
• Apply critical and analytical thinking skills to translate complex information into understandable and impactful work products. 
• Oversee and/or support special projects as needed. 
• Rapidly prioritize competing requirements, understand and simplify client requirements. 
• Communicate with various data stakeholders through written reports and oral presentations. 
• Continuously seek opportunities to improve Data Quality processes and recommend solutions for more efficient data management

Required:  

• Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline. 
• Experience with leading and/or supporting data management or governance teams to develop management plans, business processes, and Data Quality plans.
• Experience executing complex logic for data cleansing
• Working knowledge of databases and SQL.
• At least 2–5 years of experience in the field.
• Superior communication skills, both oral and written. 

Desired: 

• DoD experience preferred with focus in logistics data or supply chain data processes
• Experience working with tools, including object-oriented programming (Python, Java)