Category Intelligence Lead

Lockheed Martin•Fort Worth, CO

1d•Remote

About The Position

Responsible for collecting, processing, and analyzing data to develop immersive stories that answer business questions. Using proven and sound statistical methods, the analyst draws insights from data, and translates those insights into action that drive business results. Data Analysts are extremely resourceful and able to find novel new data sources to enrich their analysis. They apply mathematical and statistical methods to business and risk management problems.Mine, process, and summarize data; Manage the quality assurance of data scraping, query databases for stakeholder requests, and triage data issues for timely resolutions; Analyze large datasets, draw valid inferences and prepare insights in narrative or visual forms, including dashboards; Set up and maintain data processes and new analytics capabilities; Produce and track key performance indicators; Ability to formulate functional and technical requirements from business problems; Program management of key tasks and resources to achieve cost and schedule

Requirements

Generally has 5+ years of related experience and may have a post-secondary degree or training in a related discipline.
Experience with data analysis
Experience with Tableau visualization and development
Experience with Excel
Ability to analyze/interpret data and translate into a meaningful data set for customers
Experience explaining technical concepts to non technical audiences

Nice To Haves

Experience with SAP
Experience with programming languages (such as SQL)
Familiarity with AI machine learning concepts and can demonstrate knowledge on the topic (do not have to be a SME)
Experience with Sales Inventory Operations Planning (SIOP)
Experience working across functions and business areas
Experience with IT project management
Proven ability to effectively organize, articulate, and present information throughout all levels of the organization
Strong business communications skills - capturing and documenting requirements, understanding business impacts and tradeoffs, conducting interviews and workshops, proposing solutions, documentation and process mapping, etc.

Responsibilities

Mine, process, and summarize data
Manage the quality assurance of data scraping
Query databases for stakeholder requests, and triage data issues for timely resolutions
Analyze large datasets, draw valid inferences and prepare insights in narrative or visual forms, including dashboards
Set up and maintain data processes and new analytics capabilities
Produce and track key performance indicators
Ability to formulate functional and technical requirements from business problems
Program management of key tasks and resources to achieve cost and schedule