Data Analyst
Randstad
Job Summary:
- Create and maintain complex data extracts in agreed upon file layouts and send to internal / external teams at specific frequency using Python, SQL, Excel, flat files (csv etc).
- Ingest data from different internal teams / external vendors in our databases.
- Automate data extract jobs / reports using Python scripts.
- Supporting ad hoc requests from management to run data analysis and provide requested information.
- Creating dashboards / reports using Power BI.
- Create Score cards for Health Information Exchanges and present them to HIEs.
- Work with different teams across the organization to get the answers to chase data needs.
- Re-engineer data processes in department.
Required Skills/Experience:
- Expert in Python / Pandas, automation and Advanced SQL.
- Operations - Coding in Python and SQL. Run, monitor, automate, oversee data processing jobs.
- Data File / Flat file parsing. Ingesting data from flat files in database. Sending data extract in agreed file format to internal / external vendors. Working with flat files using different delimiters.
- Data Analysis using Python/SQL on data stored in RDBMS like Oracle, Snowflake, Teradata, SQL Server. Research data needs, location, completeness, accuracy of data. Interface with business customers.
- Automate jobs using Python and Re-engineer data processes in department.
- Internal Customer facing lead / contributor.
- Ability to navigate and identify organization resources / subject matter experts to obtain knowledge in a decentralized organization.
- Ability to multitask on multiple projects in parallel.
- Computer Science or equivalent.
- Expert in Python, Advanced SQL, Automation, Running data analysis on RDBMS databases like Oracle, Teradata, Snowflake etc.
- Excel, Power Point, Visio.
Preferred Skills/Experience:
- Power BI reporting and dashboards.
- Healthcare Domain, HL7 V2 , HL7 V3 data formats.
- Computer Science or equivalent.
Location:
TELECOMMUTE, Missouri
Job Type:
Contract
Salary:
$51 - 61 per hour
Work Hours:
8am to 5pm
Education:
Bachelors
Responsibilities:
- Create and maintain complex data extracts in agreed upon file layouts and send to internal / external teams at specific frequency using Python, SQL, Excel, flat files (csv etc).
- Ingest data from different internal teams / external vendors in our databases.
- Automate data extract jobs / reports using Python scripts.
- Supporting ad hoc requests from management to run data analysis and provide requested information.
- Creating dashboards / reports using Power BI.
- Create Score cards for Health Information Exchanges and present them to HIEs.
- Work with different teams across the organization to get the answers to chase data needs.
- Re-engineer data processes in department.
Qualifications:
- Experience level: Experienced
- Education: Bachelors
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