Senior Manager, Data Analytics

We need to output HTML fragment with sections: headings

for each section that has real content. The posting includes many bullet-like paragraphs but not explicit headings. We need to infer sections: "Data Source Identification", "Tech Problem Formulation", "Data Visualization", "Data Strategy", "Data Quality Management", "Understanding Business Context", "Exploratory Data Analysis", plus maybe "Responsibilities" etc. The text includes many responsibilities and requirements. We need to produce sections with appropriate headings. The instruction: use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we should map content to those standard headings if possible. The posting includes responsibilities (what you'll do) and requirements (knowledge). There's also benefits section at end. No explicit Pay or Schedule. So we should include sections: Responsibilities, Requirements, Benefits. Possibly also Skills? But we can combine. We must not repeat job title. No metadata. We must preserve all substantive information. So we need to extract the responsibilities list: The posting after "What you'll do..." includes many bullet-like paragraphs each starting with a bold heading? Actually the text includes sections like "Data Source Identification Requires knowledge of ..." etc. Those seem like responsibility areas with required knowledge. Could treat each as a responsibility item. We need to output

• for any list of duties/requirements/benefits. So we can make a
  under Responsibilities with each bullet being a responsibility area. Similarly Requirements could be knowledge items? But the text already includes "Requires knowledge of ..." which is more like requirements. Could treat those as requirements. But we need to avoid duplication. Perhaps better: Responsibilities: list of the main activity areas (Data Source Identification, Tech Problem Formulation, Data Visualization, Data Strategy, Data Quality Management, Understanding Business Context, Exploratory Data Analysis, plus supervisory/leadership duties later). Requirements: list of knowledge/skills needed (functional domain, database tech, data quality, analytics, visualization, etc). Benefits: the paragraph about benefits. We must not include filler like "commensurate with experience". Not present. We need to strip boilerplate: The long section about Walmart values (Respect the Individual, Act with Integrity, Serve our Customers and Members, Strive for Excellence) appears to be corporate competencies; they are substantive? They are part of responsibilities? They could be considered responsibilities/behaviors. We should keep them as part of Responsibilities maybe. We need to ensure we don't include navigation/legal/EEO etc. Not present. Thus produce:

  Responsibilities

  • Data Source Identification: knowledge of functional business domain and scenarios, categories of data and where it is held, business data requirements, database technologies and distributed datastores (SQL, NoSQL), data quality, existing business systems and processes including key drivers and measures of success; support understanding of priority order of requirements and service level agreements; help identify most suitable source for data that is fit for purpose; perform initial data quality checks on extracted data.
  • Tech Problem Formulation: knowledge of analytics, big data analytics automation techniques and methods, business understanding, precedence and use cases, business requirements and insights; translate business problems within discipline to data-related or mathematical solutions; identify appropriate methods/tools to provide a solution; share use cases and examples demonstrating how the method would solve the business problem.
  • Data Visualization: knowledge of visualization guidelines and best practices for complex data types, multiple data visualization tools (Python R libraries, GGplot, Matplotlib, Ploty, Tableau, PowerBI, etc.), advanced visualization techniques/tools, multiple story plots and structures, OABCDE communication influencing technique, emotional intelligence; identify and recommend suitable visualization tools based on context; generate appropriate graphical representations of data and model outcomes; understand customer requirements to design appropriate data representation for complex data sets and drive UX/UI engineers to build front-end applications; define application design based on customer requirements; build compelling stories based on context to integrate multiple pieces of information into cohesive insights; present to and influence audiences using appropriate data visualization frameworks and convey clear messages through deep business and stakeholder understanding; customize communication style based on stakeholders and leverage relationships to drive behavioral change; guide and mentor junior associates on story types, structures, and techniques based on context.
  • Data Strategy: knowledge of understanding of business value and relevance of data and data-enabled insights decisions; appropriate application and understanding of data ecosystem including data management, data quality standards, data governance, accessibility, storage, scalability, etc.; understanding of methods and applications that unlock monetary value of data assets; understand, articulate, interpret, and apply principles of defined strategy to unique moderately complex business problems that may span one or more functions or domains.
  • Data Quality Management: knowledge of data quality management techniques and standards, business metadata definitions and content data definitions, data profiling tools, data cleansing tools, data integration tools and issues and event management tools; understanding of users' data consumption, data needs, and business implications; data modeling, storage, integration, and warehousing; data quality framework and metrics; user access best practices; enterprise data architecture modeling and design, storage, integration, and warehousing; enterprise data quality framework and metrics; enterprise data strategy; enterprise data quality strategy; enterprise strategy to address regulatory and ethical requirements and policies around data privacy, security, storage, retention, and documentation; 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; deliver against data quality service level agreements; manage operational data quality management procedures; manage data quality issues and lead data cleansing activities to remove data quality defects, improve data quality, and eliminate unused data; 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.
  • Understanding Business Context: knowledge of industry and environmental factors, common business vernacular, business practices across two or more domains such as product, finance, marketing, sales, technology, business systems, and human resources and in-depth knowledge of related practices; directly relevant business metrics and business areas; evaluate proposed business cases for projects and initiatives; translate business requirements into strategies, initiatives, and projects and align them to business strategy and objectives and drive execution of deliverables; build and articulate the business case and return on investment and deliver work that has demonstrable value; challenge business assumptions on topics related to one's domain expertise; mentor team members on new business insights and allied developments; proactively engage in the external community to build Walmart's brand and learn more about industry practices.
  • Exploratory Data Analysis: knowledge of relevant KDD tools, applications, or scripting languages such as SQL, Oracle, Apache Mahout, MS Excel, Python; statistical techniques (mean, mode, median, variance, standard deviation, correlation, sorting, grouping); research analysis standards and activities; documentation procedures such as drafting, editing, bibliography format; relevant KDD industry best practices and emerging trends; collect and tabulate data and evaluate results to determine accuracy, validity, and applicability; support identification and application of statistical techniques based on requirements; apply suitable technique under direction from leadership; assist in 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 (e.g., hypothesis tests, confidence intervals) and build basic statistical models using relevant packages/software suites.
  • Drives execution of multiple business plans and projects by identifying customer and operational needs, developing and communicating business plans and priorities, removing barriers and obstacles that impact performance, providing resources, identifying performance standards, measuring progress and adjusting performance accordingly, developing contingency plans and demonstrating adaptability and supporting continuous learning.
  • Provides supervision and development opportunities for associates by selecting and training, mentoring, assigning duties, building a team-based work environment, establishing performance expectations and conducting regular performance evaluations, providing recognition and rewards, coaching for success and improvement, and promoting a belonging mindset in the workplace.
  • Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity by training and providing direction to others in their use and application, ensuring compliance with them, and utilizing and supporting the Open Door Policy.
  • Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives, consulting with business partners, managers, coworkers, or other key stakeholders, soliciting, evaluating, and applying suggestions for improving efficiency and cost-effectiveness, and participating in and supporting community outreach events.
  • Respect the Individual: Demonstrates and encourages respect for all, builds a high-performing team, seeks and embraces differences in people, cultures, ideas, and experiences, creates a workplace where all associates feel seen, supported, and connected through a culture of belonging so associates thrive and perform, drives a positive associate and customer/member experience for all, identifies, attracts, and retains the best team members.
  • Respect the Individual: Creates a discipline and focus around developing talent through feedback, coaching, mentoring, and developmental opportunities, promotes an environment allowing everyone to bring their best selves to work, empowers associates and partners to act in the best interest of the customer/member and company, and regularly recognizes others' contributions and accomplishments.
  • Respect the Individual: Builds strong and trusting relationships with team members and business partners, works collaboratively and cross-functionally to achieve objectives, communicates and listens attentively with energy and positivity to motivate, influence, and inspire commitment and action.
  • Act with Integrity: Maintains and promotes the highest standards of integrity, ethics, and compliance, models the Walmart values and leads by example to foster our culture, supports Walmart's goal of becoming a regenerative company by making a positive impact for associates, customers, and the world around us (e.g., creating a sense of belonging, eliminating waste, participating in local giving).
  • Act with Integrity: Follows the law, our code of conduct, and company policies and sets expectations for others to do the same, promotes an environment where associates feel comfortable sharing concerns and reinforces our culture of non-retaliation, listens to concerns raised by associates, takes action and encourages others to do the same, holds self and others accountable for achieving results in a way that is consistent with our values.
  • Act with Integrity: Acts as an altruistic servant leader and is consistently humble, self-aware, honest, and transparent.
  • Serve our Customers and Members: Delivers expected business results while putting the customer/member first and consistently applying an omni-merchant mindset and acts with an Every Day Low-Cost mindset to drive value and Every Day Low Prices for customers/members.
  • Serve our Customers and Members: Adopts a holistic perspective that considers data analytics, customer/member insights, and different parts of the business when making plans and shaping the team's strategy.
  • Strive for Excellence: Consistently raises the bar and seeks to improve, demonstrates curiosity and a growth mindset, seeks feedback, asks thoughtful questions, fosters an environment that supports learning, innovation, and learning from mistakes and intelligent risk-taking, and exhibits resilience in the face of setbacks.
  • Strive for Excellence: Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working.
  Then Requirements? Actually we already included knowledge within responsibilities. Might be redundant. Perhaps better to separate: Responsibilities: the action-oriented items (driving execution, supervision, promoting policies, ensuring business needs, respect individual, act with integrity, serve customers, strive for excellence). Requirements: the knowledge/skill areas (Data Source Identification, Tech Problem Formulation, Data Visualization, Data Strategy, Data Quality Management, Understanding Business Context, Exploratory Data Analysis). Benefits: the benefits paragraph. Let's do that. Thus:

  Responsibilities

  • Drives execution of multiple business plans and projects by identifying customer and operational needs, developing and communicating business plans and priorities, removing barriers and obstacles