Manager, Data Analytics

Walmart, Inc.

$94K — $155K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in Mathematics, Engineering, Economics, Computer Science, or related field; OR Bachelor's degree with 2 years of relevant experience.
  • Experience with writing complex SQL queries in BigQuery.
  • Proficient in developing interactive dashboards and reports using Power BI or Tableau.
  • Skilled in automating data analysis tasks with Python scripts.
  • Experience in performing data cleaning, aggregation, and preprocessing.

Responsibilities

  • Lead medium to large data analytics project teams and manage complex analytic projects.
  • Collaborate with project teams and business partners to set project goals and develop strategies.
  • Present data insights and recommendations to key stakeholders based on complex analyses.
  • Develop and implement data-based strategies for investigative analytics.
  • Ensure data integrity and accuracy in business intelligence solutions.

Benefits

  • Opportunity to work with advanced analytics methodologies.
  • Engagement with cross-functional teams across various business areas.
  • Chance to present insights directly to key stakeholders.
  • Exposure to large datasets and complex modeling techniques.
Full Job Description
What you'll do...

Position: Manager, Data Analytics

Job Location: 811 Excellence Dr, Bentonville, AR 72716

Duties: Leads medium and participates in large data analytics project teams and manages long-term, complex analytic projects by serving as a technical lead for analytics projects; working with project teams and business partners to determine project goals; partnering with external entities; developing contingency plans for data analysis; determining modeling based on business needs; identifying the need for use of advanced analysis methodologies; developing case theories across business areas; developing assessments of key risks; prioritizing and executing work streams for highly complex or significant allegations; directing the analysis of data; gathering data and developing reports as needed; utilizing business knowledge to ensure data supports project goals; analyzing data based on identified variables; reviewing data results to ensure accuracy; and communicating results and insights to the project team and business partners. Presents data insights and recommendations to key stakeholders by consulting with internal organizations; developing insights based on data analysis on highly complex or significant matter; developing big data modeling to identify vulnerabilities; applying analytical results to project goals; identifying trends and key insights; translating results into business actions; and presenting insights and recommendations to key stakeholders. Provides data-based analysis and insights to drive investigative analytics strategy by coordinating the development of complete datasets needed to support project-level models; designing statistical or heuristic models for applications involving multiple statistical techniques and stakeholders; coordinating with internal and external customers to build consistent and accurate strategies for using functional area metrics; developing statistical or segmentation models; identifying critical factors influencing project objectives; performing analyses utilizing advanced software and techniques; evaluating and interpreting results accurately; and presenting conclusions, deliverables, and recommendations to stakeholders to support the business. Develops business intelligence solutions with customers and other system areas by ensuring solution testing and validation; overseeing upgrades and release schedules for business intelligence and database products; managing production of scheduled regulatory reports; ensuring requirements are met to support implementations; managing the compliance reporting database to ensure accuracy and completeness of the data; ensuring development of system documentation; developing materials for state of the art user interfaces that enable business users to interpret trends and exceptions; and reviewing change implementation before and after production installations. Implements compliance reporting strategy by identifying customer and operational needs and developing customized reports to reflect reporting requirements; providing guidance and direction on best practice reporting methods; developing internal reports to monitor obligations, risk mitigation plans, procedures, and long term strategy; identifying performance standards, measuring progress, and adjusting performance accordingly to meet set standards; reviewing and prioritizing report requests; reviewing new reporting concepts and determining business impact; analyzing project requests, developing solutions and providing implementation recommendations; leading cross functional teams responsible for implementing solutions; communicating projects, current reports, and strategy to stakeholders; reviewing third party or industry reporting systems and solutions for implementation options; and working with internal teams to test and implement new reporting technology.

Minimum education and experience required: Master's degree or the equivalent in Mathematics, Engineering, Economics, Computer Science, or related field; OR Bachelor's degree or the equivalent in Mathematics, Engineering, Economics, Computer Science, or related field plus 2 years of experience conducting mathematical or statistical research, analysis and modeling intelligence, corporate security, or related experience.

Skills required: Must have experience with: Writing complex SQL queries in BigQuery to extract, transform, and analyze large datasets; Developing interactive dashboards and reports using Power BI or Tableau to communicate KPIs and operational metrics; Performing data cleaning, aggregation, and preprocessing for analysis; Automating data processing and analysis tasks using Python scripts; Transforming raw data into structured formats suitable for reporting and dashboards; Validating and cross-checking data across multiple reports to ensure accuracy; Using advanced Excel functions (VLOOKUP, INDEX-MATCH and pivot tables) for data analysis and reporting; Generating operational reports for management decision-making; Performing root cause analysis on operational issues using historical data; Collaborating with operations and product teams to implement data-driven solutions; Defining metrics to measure business performance and track operational effectiveness. Employer will accept any amount of experience with the required skills.

Rate of pay: $94,557.00 - 155,000.00/year

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