Required Skills: Power BI, Advacned Excel, VBA, Vlookup, Hlookup, Reports, Reporting, Dashboards, KPIs
Job Description
Job Role: Power BI Data Analyst with Advanced Excel
Location: Hybrid Role -- 2-3 days Quincy, MA
Type – Apex W2
If you're interested, please send me a copy of your resume and the following details as soon as possible
- 1st References
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2nd References -
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Job Description:
Interview process - 1 IV with Manager, 1 IV with Manager + Team- more analytical type interview where they give the candidate data sets within Excel and ask them to chat through what they see/understand how they interpret the data. The interview includes a technical Excel exercise.
Project Scope
- Analyze seasonal and holiday purchase trends (e.g., St. Patrick’s Day corned beef) to ensure accurate supply planning and avoid overbuying.
- Develop and enhance vendor performance views in Power BI, including trade rates and other key metrics, to support category managers.
- Collaborate with category managers to identify opportunities for improved performance through data-driven solutions.
- Support promotional planning and themed activities by providing structured analytics and insights.
- Identify best and worst-performing trade partners and work jointly on improvement strategies.
Key Responsibilities
- Process and analyze category data to draw meaningful conclusions and highlight anomalies.
- Build and maintain Power BI dashboards and views for margin governance and category performance.
- Provide structured analytics to empower decision-making for category managers.
- Assist in promotional target setting and performance tracking.
- Required Skills & Qualifications
Technical Skills:
- Advanced Excel proficiency (including complex functions).
- Power BI experience (required for at least one role; preferred for both).
- Experience: Prior business experience (not entry-level; no strict years of experience requirement).
- Core Competencies: Strong analytical and problem-solving skills.
- Ability to work collaboratively and engage with multiple stakeholders.
- Proactive mindset—comfortable seeking feedback and driving discussions.
Soft Skills:
- Excellent communication and presentation skills.
- Preferred Qualifications
- Background in retail or merchandising.
- Familiarity with SQL and/or Python.