Senior Manager, Data Analytics

Walmart • Bentonville, AR

16h • $94,557 - $180,000 • Onsite

About The Position

The Senior Manager, Data Analytics will be responsible for translating business problems into data-driven solutions, identifying appropriate methods and tools, and driving the execution of data-related projects. This role involves understanding business context, identifying data sources, performing data quality checks, and creating effective data visualizations. The position also requires managing data quality, conducting exploratory data analysis, and applying statistical techniques. The Senior Manager will collaborate with stakeholders, provide recommendations to executive audiences, and automate data solutions.

Requirements

• SQL
• Hive
• Cloud Data Warehouse (ex. BigQuery, Redshift)
• Programming (Python, C#)
• Experimentation and Statistical Analysis
• KPI Design & Measurement
• Collaborate with stakeholders across product, design, and engineering to translate business needs into actionable insights and measurable outcomes.
• Providing recommendations from complex analytics to the executive audience.
• Using Advance excel for manipulating, analyzing and presenting data using functions like VLOOKUP, index, match, sumifs, etc.
• Automating data and analytic solutions at scale.
• Analyzing clickstream data to derive insights from user journey.
• Creating data visualization using business intelligence tools. Ex. Looker, Tableau and Power BI.
• Conducting code reviews.
• Statistical tools and languages like R and Python.

Responsibilities

• Translate business problems into data-related or mathematical solutions.
• Identify appropriate methods and tools to solve business problems.
• Share use cases and examples to demonstrate how methods solve business problems.
• Drive the execution of business plans and projects by identifying customer and operational needs, developing business plans and priorities, removing barriers, providing resources, measuring progress, and developing contingency plans.
• Solve complex business issues and develop business cases for projects with projected ROI or cost savings.
• Translate business requirements into projects, activities, and tasks aligned with business strategy.
• Serve as an interpreter and conductor to connect business needs with tangible solutions and results.
• Identify and recommend relevant business insights.
• Support the understanding of data source requirements and service level agreements.
• Help identify the most suitable source for fit-for-purpose data.
• Perform initial data quality checks on extracted data.
• Generate appropriate graphical representations of data and model outcomes.
• Understand customer requirements to design appropriate data representation for multiple data sets.
• Work with User Experience designers and User Interface engineers to build front-end applications.
• Present to and influence teams and business audiences using data visualization frameworks.
• Guide and mentor junior associates on story types, structures, and techniques.
• Ensure business needs are met by evaluating the effectiveness of current plans, programs, and initiatives.
• Solicit, evaluate, and apply suggestions for improving efficiency and cost-effectiveness.
• Promote and educate others on data quality awareness.
• Profile, analyze, and assess data quality.
• Test and validate data quality requirements.
• Continuously measure and monitor data quality.
• Manage operational Data Quality Management procedures.
• Manage data quality issues and lead data cleansing activities.
• Determine user accessibility and remove or restrict user access as needed.
• Interpret company and regulatory policies on data.
• Educate others on data governance processes, practices, policies, and guidelines.
• Collect and tabulate data and evaluate results to determine accuracy, validity, and applicability.
• Support the identification and application of statistical techniques based on requirements.
• Apply suitable techniques under direction from leadership.
• Assist in the planning, design, and implementation of exploratory data analysis research projects.
• Understand existing statistical models and identify and recommend statistical models based on hypothesis.
• Use advanced knowledge in Data Discovery tools to write queries and analyze data to identify patterns, trends, outliers, and correlations.
• Conduct statistical analysis and build basic statistical models using relevant packages/software suites.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior