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Kelly Science, Engineering, Technology & Telecom

Data Analyst (SQL/Data Mining)

Kelly Science, Engineering, Technology & Telecom, Portage, Michigan, United States, 49002

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Important information:

To be immediately considered, please send an updated version of your resume to somp767@kellyservices.com. Job Title: Data Analyst (SQL/Data Mining) (Analyst, IS Business Support) Location: Remote (Must be available to work EST hours) Contract Duration: 12 months Start Date: ASAP Pay rate- $39 per hour Job Overview: We are seeking a highly motivated

Data Analyst

with strong SQL data mining and scripting skills to support fast-paced analytics and data validation initiatives within IQM. This role requires hands-on experience with large datasets, data ingestion processes, and basic front-end DAX support. The ideal candidate will have the ability to work independently, show initiative, and thrive in a dynamic, regulated environment. Key Responsibilities: Develop and execute

complex SQL queries

for data validation, mining, and reporting. Work closely with

Azure Data Factory pipelines

to ingest data from SharePoint to SQL Server. Provide backup support using

Python scripts

for ingestion tasks when necessary. Assist front-end developers by writing and optimizing

DAX queries

for Power BI dashboards. Collaborate with cross-functional teams, including technical leads and front-end developers, to ensure accurate and efficient data flow. Conduct root cause analysis and implement solutions for data integrity issues. Work with SAP data structures when needed to support broader team objectives. Required Technical Skills: SQL Data Mining:

Strong ability to extract and analyze data from large, complex datasets. SQL Scripting:

Deep understanding of joins, subqueries, window functions, stored procedures, etc. DAX (Data Analysis Expressions):

Working knowledge to assist in Power BI dashboard logic when needed. Python (Nice to Have):

Used occasionally for backup data ingestion processes. Minimum 3 years of hands-on SQL Bachelor's OR Master’s degree

in Analytics Preferred Qualifications: Completed coursework or certifications in SQL. Experience working in regulated industries (e.g., healthcare, pharma, finance) is a plus. Familiarity with SAP data structures is beneficial but not mandatory. Seniority level

Seniority level Associate Employment type

Employment type Contract Job function

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