Data Analyst Python SQL data engineering 2 openings onsite - MN
Data Analyst Python SQL data engineering 2 openings onsite - MN
Posted on :
30-10-2024
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Posted on :
30-10-2024
Job Description
Work Location: ONSITE Eden Prairie MN
Travel : No
Description:
- The team consists of 8 onsite Consumer Experience Analysts with a variety of backgrounds including experience in UHC contact centers Medicare Product teams data file management teams external consumer experience retail teams and longterm care delivery. We also are supported by 4 hybrid Reporting Analysts and 3 onsite Managers and 1 onsite Director. The contractors will fill 2/8 of the CE Analyst positions and 2/4 hybrid Reporting Analyst positions.
- We value learning open communication adaptability humor and collaboration and weve intentionally shaped our culture around these values.
- The teams skill sets include coding automations in python querying large databases in Snowflake manipulating and analyzing large interaction datasets in Excel designing engaging data visualizations in excel and PowerPoint to share with stakeholders and communication skills in person and in writing to engage with leadership.
Responsibilities:
- Analyze operational data to identify areas for process improvement cost optimization and provide insights rooted in enhancing the consumer experience. This data includes NPS trends consumer verbatims digital portal interactions consumer metrics/critical ops metrics.
- Collaborate with crossfunctional teams including but not limited to WFM Consumer Resolution Center (CRC) Product Claims Call Ops IT Sales Enrollment Implementation and Provider Ops to identify discuss and implement enhancements and/or process improvements.
- Actively monitor live War Room efforts CRC trends thumb on current events or tech outages that could impact the consumer experience that are displayed on the AV Wall.
- Monitor and interpret operational reports dashboards and performance metrics to track key impacts to the consumer experience and overall performance.
- Demonstrate readiness to interpret and understand the data in a manner that can be efficiently and effectively presented to senior level leaders.
Skills:
- People in the Cove
- python
- SQL
- engineering of data to drive content into the walls of command center. Then our analysts use the data/visuals to see the abrasion so we can package it into immediate response.
Desired skills:
- PowerBI (dashboard and reports)
- Snowflake
- SQl.
- Nice to have Python
- Databricks.
- Lots of automation pipeline work.
- SDLP to store data. Excel sme pulling the work in python.
Required Skills : Data Analysis
Basic Qualification :
Additional Skills : Data Analyst
This is a high PRIORITY requisition. This is a PROACTIVE requisition
Background Check : No
Drug Screen : No
Employment Type
Full Time
Key Skills
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