Retail Data AnalystTalascend • Warren, Michigan, US
Retail Data Analyst
Talascend • Warren, Michigan, US
[job_card.30_days_ago]
[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]B.S. or M.S. in Technology computer science computer engineering applied math statistics engineering or other quantitative field or equivalent work experience in a digital environment. 5 years experience in a combination of analytics development analytics design consulting product analytics or an equivalent field. Proven experience working with Sales Marketing leadership in a fast-paced agile environment. Expert communicator in written and verbal form ability to work well with business owners’ peers dealers / customers and ability to lead and influence across all levels of the organization. Strategic problem solver who simplifies problems to their core elements and finds creative solutions. Excellent teamwork skills with a proven ability to collaborate effectively. Proficient in Microsoft Office Suite, Visual Basic for Applications VBA ,Tableau , PowerBI , Databricks - Oracle PL / SQL ,Oracle Data Base Management System DBMS ,Hadoop DBMS , Python Script and Jupyter / Spark / Hue ????? Experience navigating data structures and practices - HTML - CSS - JavaScript ??????????????#IND
Talascend is currently seeking a Retail Data Analyst for an opportunity in Warren, MI
OVERVIEW :
The client’s Customer Care Aftersales Dealer Retail Channel is looking for a highly skilled data analyst to play a pivotal role in increasing dealership service lane traffic and part sales. The analyst will be on point to collect organize and present data daily.
RESPONSIBILITIES
- Collaborate with business SMEs to capture and document data analytic requirements.
- Prioritize deliverables based on timing urgency and other business-related factors.
- Recommend and implement appropriate analytic solutions to meet business objectives.
- Analyze large amounts of structured / unstructured information identify anomalies and provide usable insight for business decisions
- Proactively identify opportunities of advanced analytics to streamline data processes and future deliverables.
- Ensure data integrity security and performance optimization
- Monitor progress manage risk and ensure key stakeholders are updated and aligned on expected outcomes.
- Prepare documentation and analytical reports that effectively summarize results assumptions and conclusions.
- Communicate complex information clearly appropriately for the intended audience and using data visualization techniques charts graphs etc..
- Establish collaborative relationships with business SMEs IT teams field team members 3rd party vendors and other business stakeholders. Stay current with data analytic techniques / technology and have a desire to learn new tools / skills. - Document and maintain desk procedures for ongoing tasks.
QUALIFICATION :
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Retail Data Analyst • Warren, Michigan, US
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