MANAGER, FINANCE
Walmart Inc.This role is no longer listed. Walmart Inc. took the posting down on Sep 20, so applying now won't reach anyone. It stays here for your saved list and any links you shared.
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, metro location, mid-level BI role with broad Power BI/SQL skills drives high applicant competition.
Role blends finance and BI, so candidates need finance domain familiarity making background moderately sensitive.
Explicit minimum years plus required expert Power BI, advanced SQL, and BI governance skills make shortlisting strict.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and maintain Power BI dashboards and reports for executive and operational decision-making, including administration of Power BI Service environments.
Develop advanced data models and write complex SQL queries optimized for performance on large datasets to provide clear, decision-ready insights for FP&A and partner teams.
Leverage AI-powered analytics tools to automate data preparation, generate insights, and enhance reporting efficiency while ensuring BI governance and stakeholder engagement.
Minimum Requirements
Bachelor's degree in Finance, Accounting, or related field with at least 2 years' experience in accounting, finance or relevant area OR 4 years' experience in accounting, finance, or related area.
Expert-level skills in Power BI, including DAX, Power Query, and data modeling, plus experience managing Power BI Service environments.
Advanced SQL proficiency with ability to write complex queries, stored procedures, and optimize execution plans for large datasets.
Work Experience Required: 5–7 years in analytics/BI as per preferred qualifications, but minimum is 2-4 years in finance or accounting domain.
Ideal Candidate Profile
Experienced in building scalable, high-performance BI solutions using Power BI and advanced SQL in finance or related analytics environments.
Skilled in engaging stakeholders to translate business needs into analytical specifications that drive measurable business outcomes.
Familiar with using AI tools (e.g., Microsoft Copilot, GPT) to automate data analysis and integrate emerging AI technologies into financial analytics workflows.