Data Manager

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $100k - $140k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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LMI

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1961

📦 Logistics

🏥 Healthcare

🎖️ Defense

Logistics • Healthcare • Defense

LMI is a forward-thinking company that focuses on reimagining the path from insight to outcome through innovative solutions in various sectors, including applied AI and digital health. They provide advanced analytics, engineering support, and performance optimization across defense, health, and civilian markets, with a strong commitment to enhancing mission effectiveness for government clients. With a focus on collaboration and research, LMI aims to drive positive change through its diverse capabilities and partnerships.

📋 Description

• Identifying and organizing data sources, often housed in Databricks, for all projects that LMI handles within the USPS framework. • Working with project managers to organize their data, develop data hygiene practices, and create a framework for updating and visualizing their data to ensure it meets client needs. • Analyzing data using advanced tools to exceed client expectations and maintain data accuracy and relevancy. • Learning how to use new data sources and tools to ensure LMI and our project team stay current on USPS data trends and policy. • Assisting project managers with answering complex questions related to their projects using the data that you maintain and monitor. • Demonstrating a willingness to try new AI/ML tools that will enhance your ability to complete tasks and deliver excellence to our USPS client.

🎯 Requirements

• Bachelor’s degree in Data Science, Statistics, Computer Science, Information Systems, Business Analytics, or a related field. • At least 3 years of professional experience in a data-focused role (e.g., data manager, data analyst, business intelligence analyst, or similar). • Demonstrated experience working with multiple projects or departments and consolidating data from different sources. • Proficiency in working with relational databases and writing queries (e.g., SQL). • Experience with data visualization tools (e.g., Power BI, Databricks, or similar). • Strong Excel skills (pivot tables, lookups, basic formulas, charts). • Experience with basic data modeling and data cleaning/validation techniques. • Familiarity with at least one scripting language for data manipulation (e.g., Python, R), or a strong willingness to learn quickly. • Understanding of data quality, data governance, and version control practices. • Ability to create and maintain clear, well-documented data structures, dashboards, and reports. • Must be able to obtain a Position of Public Trust Clearance – US Citizen or Permanent Resident (Green Card holder).

🏖️ Benefits

• High Fringe/Full-Time