LMI is hiring: Data Quality Analyst in Battle Creek
LMI, Battle Creek, MI, United States, 49014
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Overview
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.
This position is onsite 3-5 days a week. Candidates must be able to work onsite in Battle Creek, Michigan.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Overview
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.
This position is onsite 3-5 days a week. Candidates must be able to work onsite in Battle Creek, Michigan.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Responsibilities
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. (Preferred)
- 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 0–5 years of experience in the field.
- Superior communication skills, both oral and written.
- DoD experience preferred with focus in logistics data or supply chain data processes
- Experience working with tools, including object-oriented programming (Python, Java)
Disclaimer
The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.
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