All eligible associates have affordable options that include no lifetime maximum and eligible preventive care covered at 100%.
The enhanced maternity benefit supports birth moms with up to 10 weeks of protected paid time away from work.
Associates can take advantage of Resources for Living, a free confidential counseling and health information service.
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What you’ll do:
As a Data & Analytics strategist on the Merchant Data Enablement Team, you will be supporting the most critical strategic programs and initiatives that will enable Merchants to serve our customers better. In this role, you will have the responsibility to lead and develop solutions to support frictionless & seamless access to data insights for Merchants. This includes translating business needs into technical requirements, prioritizing, communicating to cross functional technology and business partners and finally testing, socializing, and driving adoption of the deliverable once completed. The role also involves building new and/or transforming existing reporting and analytics products through automation, process enhancements and incorporation of new data sources. If you love enabling data solutions that can scale, have a strong customer mindset, love taking ownership to solve business challenges, enjoy continually learning through experimentation and working in a cross functional collaborative environment, we would love to have you on our team.
Job Competencies
Driving Customer/Client Needs: Researches and verifies customer needs and expectations. Builds and maintains consistent customer connections and solicits customer feedback. Creates customer journeys and identifies customer touchpoints. Addresses gaps/risks in product experiences. Simplifies and improves processes to drive customer satisfaction.
Data Vision & Strategy: Owns a customer problem and/or data requirements/needs. Assists in building new ideas/products. Explores new areas for value creation and develops a long-term vision. Articulates problem statements and hypotheses and guides team towards prototypes. Effectively communicates product strategy and vision.
Data Driven Product Decisions: Independently conducts activities for product/feature analytics. Monitors, collects, and structures data and evaluates results. Assist in the planning, design, and implementation of exploratory data analysis.
Influencing & Building Stakeholder Consensus: Communicates in stakeholder meetings involving multiple teams. Conveys complex information and addresses ambiguity for robust data asset development. Influences team members and stakeholders with sound recommendations. Independently prepares clear, concise, and logically structured reports/materials. Seeks and provides constructive feedback, anticipates needs/questions, and responds appropriately.
Technology Orientation: Demonstrates a basic understanding of data & data security policies and process. Owns business and user acceptance for features. Independently represents data requirements and drives data design outcomes. Demonstrates an understanding of data architecture, services involved, and database and cloud technologies used. Drives informed discussions with engineering teams and stakeholders to assess feasibility and risks and prioritize efforts, features and capabilities.
Domain Expertise: Identifies areas of innovation across the subdomains, shares innovations with the leadership team and drives initiatives. Recommends new processes, automation opportunities and ways of working for subdomains.
You’ll sweep us off our feet if:
You have strong problem-solving skills
You enjoy collaborating with business and technology partners to build a consistent and accurate strategy for enabling data-driven insights and providing expert advice and guidance on the application of best practices.
You drive the implementation of business solutions by building relationships and partnerships with key stakeholders
You have experience in analytical tools such as Tableau & Tableau prep, Looker, PowerBI, Dataiku
You have a strong grasp of cloud and big data technologies: SQL, Python, R, Spark, Druid, Hive, Hadoop, GCP, BigQuery and other data warehouse products.
You understand data security & access concepts including a strong grasp of role based and row level security
You enjoy analyzing and ensuring accuracy of information by creating, maintaining, and evaluating data, evaluating trends and reviewing results for accuracy
You have an entrepreneurial mindset- you like moving fast and are nimble enough to jump from one project to the next with ease
You’re curious, always looking for new opportunities to up our game and are customer obsessed
You’re a great communicator, able to articulate your insights and findings to various levels of the organization
You are creative and resilient – always looking for new ways to approach problems and drive business performance
Qualifications:
Bachelor’s or Masters degree in Business, Analytics, Statistics, Computer Science or related field and 6 years’ experience in data analytics, project management, business, or related area OR
Capable of managing multiple stakeholders, anticipating their needs, and gaining alignment for strategies from executive level stakeholders
Strong communication skills (oral, verbal, and listening) as well as the ability to influence key decision-makers and understand their points of view
Strong leadership, negotiation, and execution skills with the ability to drive results, deliver and excel, and own it when you don’t
Comfortable in a fast-paced, growing environment and work well with ambiguity
Proven ability to drive results, especially in a matrixed or influence based environment
Understands, describes, and navigates existing work and makes recommendations with a clear sense of organizational impact
Experience in practicing agile methodologies – Scrum, Kanban
Proficiency in using tools such as Jira Board, Confluence, Roadmap Tools
Technical experience in Data Analytics domain
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
As permitted by applicable law, provide evidence of full vaccination as defined by CDC guidelines OR secure approval of medical or religious accommodation for the vaccination mandate., Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 3 years' experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 1 year's experience in data analysis, data science, statistics, or related field. Option 3: 5 years' experience in data analysis, data science, statistics, or related field.
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, data analysis, statistics, or related field, Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau), Supervisory experience
702 SW 8TH ST, BENTONVILLE, AR 72716, United States of America
In 1962, Sam Walton started a single mom-and-pop shop and transformed it into the world’s largest retailer. Since those founding days, one thing has remained consistent: helping our customers save money so they can live better. Today, we’re reinventing the shopping experience - and our associates are at the heart of it (all 2.2 million of them). When you join our Walmart family of ...