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 ...
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 ...
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 ...
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 ...
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Data Analyst Python Sql information
What are the key skills and qualifications needed to thrive as a Data Analyst with Python and SQL, and why are they important?
How does a Data Analyst using Python and SQL typically collaborate with other departments within an organization?
What are Data Analyst Python SQL jobs?
What is the difference between Data Analyst Python Sql vs Data Scientist?
| Aspect | Data Analyst Python Sql | Data Scientist |
|---|---|---|
| Required Skills | Excel, SQL, Python basics, data visualization | Advanced Python, machine learning, statistical modeling |
| Work Environment | Business intelligence, reporting, dashboards | Predictive modeling, research, complex data analysis |
| Industry Usage | Finance, marketing, retail, healthcare | Tech, finance, research institutions, startups |
While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.
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Data Analyst (Python, SQL, data engineering) | 2 openings | onsite - MN
SamprasoftEden Prairie, MN • On-site
Other
This job post has expired today. Applications are no longer accepted.
Job description
The team consists of 8 on-site 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 long-term care delivery. We also are supported by 4 hybrid Reporting Analysts and 3 on-site Managers and 1 on-site 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 we’ve intentionally shaped our culture around these values.
The team’s 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 cross-functional 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.
- 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.
- 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.
About SampraSoft
Sourced by ZipRecruiter
Industry
It services
Company size
1 - 10 Employees
Headquarters location
Alpharetta, GA, US
Year founded
2005