Senior Manager, Data Analytics

Walmart • Bentonville, AR

2d • $90,000 - $180,000 • Onsite

About The Position

This role is responsible for leveraging data analytics to drive business value and insights. The Senior Manager will oversee data strategy, quality management, and exploratory data analysis, translating complex business problems into data-driven solutions. They will also be responsible for data visualization, communicating insights effectively to stakeholders, and mentoring junior associates. The position requires a deep understanding of various data domains, analytical techniques, and visualization tools, as well as the ability to build compelling business cases and drive execution.

Requirements

• Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 4 years' experience in data analysis, data science, statistics, or related field.
• OR Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in data analysis, data science, statistics, or related field.
• OR 6 years' experience in data analysis, data science, statistics, or related field.
• 1 year's supervisory experience.
• Knowledge of Functional business domain and scenarios.
• Knowledge of categories of data and where it is held.
• Knowledge of Business data requirements.
• Knowledge of Database technologies and distributed datastores (e.g., SQL, NoSQL).
• Knowledge of Data Quality.
• Knowledge of existing business systems and processes, including key drivers and measures of success.
• Knowledge of Analytics, big data analytics, automation techniques and methods.
• Knowledge of Business understanding, precedence, and use cases.
• Knowledge of Business requirements and insights.
• Knowledge of Visualization guidelines and best practices for complex data types.
• Knowledge of multiple data visualization tools (e.g., Python, R libraries, GGplot, Matplotlib, Plotly, Tableau, PowerBI).
• Knowledge of advanced visualization techniques and tools.
• Knowledge of multiple story plots and structures.
• Knowledge of OABCDE Communication/influencing techniques and Emotional intelligence.
• Knowledge of understanding of business value and relevance of data and data-enabled insights/decisions.
• Knowledge of appropriate application and understanding of data ecosystem (Data Management, Data Quality Standards, Data Governance, Accessibility, Storage, Scalability, etc.).
• Knowledge of methods and applications that unlock the monetary value of data assets.
• Knowledge of Data quality management techniques and standards.
• Knowledge of Business metadata definitions and content, data definitions.
• Knowledge of Data profiling tools, data cleansing tools, data integration tools, and issues and event management tools.
• Knowledge of users' data consumption, data needs, and business implications.
• Knowledge of Data modeling, storage, integration, and warehousing.
• Knowledge of Data quality framework and metrics.
• Knowledge of User access best practices.
• Knowledge of Enterprise data architecture modeling and design, storage, integration, and warehousing.
• Knowledge of Enterprise data quality framework and metrics.
• Knowledge of Enterprise data strategy.
• Knowledge of Enterprise data quality strategy.
• Knowledge of Enterprise strategy to address regulatory and ethical requirements and policies around data privacy, security, storage, retention, and documentation.
• Knowledge of Industry and environmental factors.
• Knowledge of Common business vernacular.
• Knowledge of Business practices across two or more domains (e.g., product, finance, marketing, sales, technology, business systems, human resources) and in-depth knowledge of related practices.
• Knowledge of directly relevant business metrics and business areas.
• Knowledge of relevant Knowledge Discovery in Data (KDD) tools, applications, or scripting languages (e.g., SQL, Oracle, Apache Mahout, MS Excel, Python).
• Knowledge of Statistical techniques (e.g., mean, mode, median, variance, standard deviation, correlation, sorting, and grouping).
• Knowledge of Research analysis standards and activities.
• Knowledge of Documentation procedures (e.g., drafting, editing, Bibliography format).
• Knowledge of KDD industry best practices and emerging trends.
• Ability to drive execution of multiple business plans and projects.
• Ability to provide supervision and development opportunities for associates.
• Ability to promote and support company policies, procedures, mission, values, and standards of ethics and integrity.
• Ability to ensure business needs are being met.
• Ability to build strong and trusting relationships with team members and business partners.
• Ability to maintain and promote the highest standards of integrity, ethics, and compliance.
• Ability to act as an altruistic servant leader.
• Ability to deliver expected business results while putting the customer/member first.
• Ability to adopt a holistic perspective.
• Ability to consistently raise the bar and seek to improve.
• Ability to seek and implement continuous improvements.

Nice To Haves

• Related industry experience (for example, retail, merchandising, healthcare, eCommerce).
• Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (e.g., SQL, Python, Spark, Scala, R, Power BI, or Tableau).
• Supervisory experience.

Responsibilities

• Identify data sources, perform initial data quality checks, and ensure data is fit for purpose.
• Translate business problems into data-related or mathematical solutions using appropriate methods and tools.
• Generate graphical representations of data and model outcomes using various visualization tools and techniques.
• Build compelling stories based on context to integrate information into cohesive insights and present to stakeholders.
• Understand and apply principles of data strategy to business problems, considering the data ecosystem.
• Promote and educate others on data quality awareness, governance processes, practices, policies, and guidelines.
• Profile, analyze, and assess data quality, test data quality requirements, and manage data quality issues.
• Interpret company and regulatory policies on data, including privacy, security, storage, retention, and documentation.
• Evaluate proposed business cases for projects and initiatives, translating business requirements into strategies.
• Build and articulate the business case and return on investment, delivering work with demonstrable value.
• Collect and tabulate data, evaluate results for accuracy, validity, and applicability.
• Apply suitable statistical techniques and assist in planning, designing, and implementing exploratory data analysis research projects.
• Conduct statistical analysis and build basic statistical models using relevant packages/software suites.
• Drive the execution of business plans and projects by identifying needs, developing plans, removing barriers, and measuring progress.
• Provide supervision and development opportunities for associates through feedback, coaching, mentoring, and performance management.
• Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.
• Ensure business needs are met by evaluating current plans, consulting with business partners, and seeking improvements.
• Participate in and support community outreach events.
• Demonstrate and encourage respect for all, build high-performing teams, and create a culture of belonging.
• Develop talent through feedback, coaching, mentoring, and developmental opportunities.
• Build strong and trusting relationships with team members and business partners, working collaboratively.
• Maintain and promote the highest standards of integrity, ethics, and compliance.
• Act as a servant leader, being humble, self-aware, honest, and transparent.
• Deliver expected business results while putting the customer/member first.
• Adopt a holistic perspective considering data analytics, customer insights, and different parts of the business.
• Consistently raise the bar, seek to improve, demonstrate curiosity, and foster an environment for learning and innovation.
• Seek and implement continuous improvements and encourage the team to leverage new digital tools and ways of working.

Benefits

• Medical coverage
• Vision coverage
• Dental coverage
• 401(k)
• Stock purchase
• Company-paid life insurance
• PTO (including sick leave)
• Parental leave
• Family care leave
• Bereavement
• Jury duty
• Voting leave
• Short-term disability
• Long-term disability
• Company discounts
• Military Leave Pay
• Adoption and surrogacy expense reimbursement
• PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes.
• Tuition, books, and fees are completely paid for by Walmart (Live Better U program).

What This Job Offers

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