“Mindlance
Data analytics analyst 2
Experience 3-5 years of professional experience in data analytics or data science leveraging meteorological data sources (e.g., numerical weather prediction output, satellite imagery, weather station...
Randstad
·last monthRandstad
·last monthLocation
remote, MN, United States
Commitment
Full Time
Level
Junior (<2 years)
Description: What is the specific title of the position? Sr Data Analyst
Work location (specify UHG/UHC/Optum location or remote/telecommute)? Minnetonka MN or telecommute
Work hours (ex. 9am-5pm day/night shifts rotating shifts etc)? 8-5CST
Position background What does this position accomplish for the business? Please describe the team the candidate will be working with (number of team members break-down of the team s skill sets team culture etc.). What are the top 5-10 responsibilities for this position (please be detailed as to what the candidate is expected to do or complete on a daily basis)? Analyze data sets, determine data characteristics, define data mappings, write transformation rules for technology consumption, translate requirements into Features in Aha, Prioritize Features, Provide input on refinement to technology team, test output of development. Additionally resources may read clinical charts to determine evidence of data present and interpret what chart information means for care gap closure.
What does the ideal candidate background look like (ex: healthcare specific background specific industry experience etc.)?, What skills/attributes are preferred (what will set a candidate apart)? UHC Quality Experience, Clinical Background, CMS Measure Expertise, Software and Data Development experience.
Does this position require a professional license or certification? If so please list. No
What is the dress code (ex: business casual scrubs etc.)? business casual (Jeans OK)
How would you prefer to interview? (Video phone or in person? How many rounds?) TBD
“Mindlance
Experience 3-5 years of professional experience in data analytics or data science leveraging meteorological data sources (e.g., numerical weather prediction output, satellite imagery, weather station...
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