Senior Manager, Data Analytics - Merchandising Operations - Pricing
Walmart Canada
Position Summary...
What you'll do...
Every Day Low Prices (EDLP) is the cornerstone of our business and our focus on prices has never been stronger. We are looking for an entrepreneurial problem solver who enjoys sourcing and executing solutions. Be a part of an innovative team that is developing pricing strategies, building industry analytics and implement their recommendations at a scale that only Walmart can!
What you'll do...
- Data Source Identification: Leverage your knowledge of business domains, data categories, and database technologies (SQL, NoSQL) to identify and extract high-quality data from the most suitable sources. Perform initial data quality checks and ensure data aligns with business requirements and service level agreements.
- Technical Problem Formulation: Translate and co-own business problems into data-related or mathematical solutions using analytics, big data, and automation techniques. Identify the appropriate methods and tools to solve business problems, sharing use cases and examples to demonstrate effectiveness.
- Data Visualization: Utilize advanced visualization tools (Python, R libraries, GGplot, Matplotlib, Plotly, Tableau, PowerBI) to generate graphical representations of data. Design data representations for complex datasets, build compelling stories, and present insights to diverse audiences. Guide and mentor junior associates on storytelling techniques and visualization best practices.
- Data Strategy: Apply your understanding of data ecosystems, data management, governance, and scalability to interpret and implement data strategies. Address unique, moderately complex business problems across multiple functions or domains, unlocking the monetary value of data assets.
- Data Quality Management: Promote data quality awareness and lead data profiling, cleansing, and validation activities. Continuously measure and monitor data quality, managing issues and ensuring compliance with data governance policies. Educate others on best practices for data quality and governance.
- Understanding Business Context: Evaluate business cases, translate requirements into strategies and initiatives, and drive their execution. Build and articulate business cases, challenge assumptions, mentor team members, and engage with the external community to enhance Walmart’s brand and industry knowledge.
- Exploratory Data Analysis: Utilize KDD tools, statistical techniques, and scripting languages (SQL, Oracle, Apache Mahout, MS Excel, Python) to analyze data, identify patterns, and build statistical models. Support research projects, apply appropriate statistical techniques, and conduct thorough data analysis.
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
You'll sweep us off our feet if you...
- Have a deep understanding of business domains and scenarios, along with the technical expertise in database technologies and data quality management.
- Are skilled in translating complex business problems into data-driven solutions and can effectively communicate these insights through advanced data visualization techniques.
- Possess a strategic mindset with a strong grasp of data ecosystems, governance, and the ability to unlock the value of data assets.
- Are a proactive leader who promotes data quality, manages data-related issues, and educates others on data governance policies.
- Have a keen eye for business metrics and can translate business requirements into actionable strategies and initiatives that align with Walmart’s objectives.
- Are adept at leveraging statistical techniques and KDD tools to conduct exploratory data analysis and derive meaningful insights.
- Demonstrate excellent communication and influencing skills, customizing your style based on stakeholder needs to drive behavioral change and deliver compelling data stories.
- Show a passion for continuous learning, adaptability, and mentoring junior associates to grow their skills in data analytics and visualization.
Benefits & Perks
Beyond competitive pay, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Who We Are
Join Walmart and your work could help over 275 million global customers live better every week. Yes, we are the Fortune #1 company. But you’ll quickly find we’re a company who wants you to feel comfortable bringing your whole self to work. A career at Walmart is where the world’s most complex challenges meet a kinder way of life. Our mission spreads far beyond the walls of our stores. Join us and you'll discover why we are a world leader in diversity and inclusion, sustainability, and community involvement. From day one, you’ll be empowered and equipped to do the best work of your life.
Equal Opportunity Employer
Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve.
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
For information about PTO, see https://one.walmart.com/notices.
Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $90,000.00-$180,000.00
Additional compensation includes annual or quarterly performance bonuses.
Additional compensation for certain positions may also include:
- Stock
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: 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. Option 2: 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. Option 3: 6 years' experience in data analysis, data science, statistics, or related field.1 year's supervisory experience.
Preferred Qualifications...
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