Senior Data Analyst
Position SummaryWhat you'll doAs a Senior Data Analyst within the Supply Chain department, you will play a critical role in analyzing and interpreting vast datasets to extract valuable insights that inform strategic decisions.
Leveraging your expertise in data analytics and your in-depth understanding of supply chain processes, you will collaborate with cross-functional teams to identify opportunities for optimization, cost reduction, and process enhancements.
What you'll do:
Data Strategy:
Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function, collaborating with stakeholders to understand business goals, processes, and requirements.
Data Source Identification:
Supports the understanding of the priority order of requirements and service level agreements.
Conduct data discovery, analysis, and validation between different data sources and systems.
Helps identify the most suitable source for data that is fit for purpose.
Performs initial data quality checks on extracted data.
Problem Formulation:
Translates business problems within one's discipline to data related or mathematical solutions.
Identifies what methods (for example, analytics, big data analytics, automation) would provide a solution for the problem.
Shares use cases and gives examples to demonstrate how the method would solve the business problem.
Applied Business Acumen:
Provides recommendations to business stakeholders to solve complex business issues.
Develops business cases for projects with a projected return on investment or cost savings.
Translates business requirements into projects, activities, and tasks and aligns to overall business strategy.
Serves as an interpreter and conduit to connect business needs with tangible solutions and results.
Connect data and provide insights based on data and work with stakeholders to continuously simplify or enhance processes, such as operational adjustments.
Proactively identify opportunities for process improvement, automation, and optimization.
Respond to complex and time-sensitive inquiries.
Data Quality Management:
Promotes and educates others on data quality awareness.
Manages data quality issues and leads data cleansing activities to remove data quality defects, improve data quality, and eliminate unused data.
Profiles, analyzes, and assesses data quality.
Tests and validates data quality requirements.
Continuously measures and monitors data quality.
Delivers against data quality service level agreements.
Partner with data stewards and owners to apply data governance standards and practices.
Collaborate with technology partners to diagnose and resolve potential data issues.
Determines user accessibility and removes or restricts user access as needed.
Interprets company and regulatory policies on data.
Educates others on data governance processes, practices, policies, and guidelines.
Data Visualization:
Generates appropriate graphical representations of data and model outcomes.
Understands customer requirements to design appropriate data representation for multiple data sets.
Work with User Experience designers and User Interface engineers as required to build front end applications.
Presents to and influences the team and business audience using the appropriate frameworks and conveys clear messages through business and stakeholder understanding.
Customizes communication style based on stakeholder under guidance and leverages rational arguments.
Guides and mentors junior associates on story types, structures, and techniques based on context.
Develop reports and dashboards to address stakeholders' key concerns and enable data-driven decision-making.
Exploratory Data Analysis:
Collects and tabulates data and evaluates results to determine accuracy, validity, and applicability.
Supports the identification and application of statistical techniques based on requirements.
Applies suitable technique under direction from leadership.
Assists in the planning, design and implementation of exploratory data analysis research projects.
Understands existing statistical models and identifies and recommends statistical models based on hypothesis.
Conducts statistical experiments (for example hypothesis tests, confidence intervals) and builds basic statistical models using tools such as Python & R.
Uses advanced knowledge in data discovery tools to write queries and analyzes data to identify patterns, trends, outliers, and correlations.
Identify potential risks related to process and system changes.
Coordinates, completes, and oversees job-related activities and assignments by developing and maintaining relationships with key stakeholders; supporting plans and initiatives to meet customer and business needs; identifying and communicating goals and objectives; building accountability for and measuring progress in achieving results; identifying and addressing improvement opportunities; and demonstrating adaptability and promoting continuous learning.
What you'll bring:
Bachelor's degree in Data Science, Statistics, Supply Chain Management, or a related field.
Master's degree preferred.
Proven experience (5
years) as a Data Analyst within a supply chain or logistics environment.
Proficient in SQL for data querying and analysis.
Expertise in data visualization tools - Tableau (preferred) or Power BI - to present complex information in a clear and concise manner.
Python a plus but not required.
Familiarity with ERP systems and data integration techniques.
Solid analytical and problem-solving skills with a detail-oriented approach.
Excellent communication and presentation abilities, with the ability to interact effectively with both technical and non-technical stakeholders.
Demonstrated ability to lead and manage projects independently and as part of a team.
Strong organizational skills and ability to handle multiple priorities in a fast-paced environment.
Experience with advanced statistical modeling and forecasting techniques.
Knowledge of machine learning algorithms and applications within the supply chain domain.
Familiarity with data warehousing and data engineering concepts.
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 responsibilities and qualifications required of employees assigned to this job.
The full Job Description can be made available as part of the hiring process.
Benefits & Perks:
Beyond our great compensation package, 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.
Equal Opportunity Employer:
Sam's Club is an Equal Opportunity Employer- By Choice.
We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them.
That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.
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 2 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.
Option 3:
4 years' experience in data analysis, data science,statistics, or related field.
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) Primary Location 2101 SE SIMPLE SAVINGS DR, BENTONVILLE, AR 72712-4304, United States of America Recommended Skills Adaptability Analytical Apache Spark Assessments Attention To Detail Automation Estimated Salary: $20 to $28 per hour based on qualifications.
Leveraging your expertise in data analytics and your in-depth understanding of supply chain processes, you will collaborate with cross-functional teams to identify opportunities for optimization, cost reduction, and process enhancements.
What you'll do:
Data Strategy:
Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function, collaborating with stakeholders to understand business goals, processes, and requirements.
Data Source Identification:
Supports the understanding of the priority order of requirements and service level agreements.
Conduct data discovery, analysis, and validation between different data sources and systems.
Helps identify the most suitable source for data that is fit for purpose.
Performs initial data quality checks on extracted data.
Problem Formulation:
Translates business problems within one's discipline to data related or mathematical solutions.
Identifies what methods (for example, analytics, big data analytics, automation) would provide a solution for the problem.
Shares use cases and gives examples to demonstrate how the method would solve the business problem.
Applied Business Acumen:
Provides recommendations to business stakeholders to solve complex business issues.
Develops business cases for projects with a projected return on investment or cost savings.
Translates business requirements into projects, activities, and tasks and aligns to overall business strategy.
Serves as an interpreter and conduit to connect business needs with tangible solutions and results.
Connect data and provide insights based on data and work with stakeholders to continuously simplify or enhance processes, such as operational adjustments.
Proactively identify opportunities for process improvement, automation, and optimization.
Respond to complex and time-sensitive inquiries.
Data Quality Management:
Promotes and educates others on data quality awareness.
Manages data quality issues and leads data cleansing activities to remove data quality defects, improve data quality, and eliminate unused data.
Profiles, analyzes, and assesses data quality.
Tests and validates data quality requirements.
Continuously measures and monitors data quality.
Delivers against data quality service level agreements.
Partner with data stewards and owners to apply data governance standards and practices.
Collaborate with technology partners to diagnose and resolve potential data issues.
Determines user accessibility and removes or restricts user access as needed.
Interprets company and regulatory policies on data.
Educates others on data governance processes, practices, policies, and guidelines.
Data Visualization:
Generates appropriate graphical representations of data and model outcomes.
Understands customer requirements to design appropriate data representation for multiple data sets.
Work with User Experience designers and User Interface engineers as required to build front end applications.
Presents to and influences the team and business audience using the appropriate frameworks and conveys clear messages through business and stakeholder understanding.
Customizes communication style based on stakeholder under guidance and leverages rational arguments.
Guides and mentors junior associates on story types, structures, and techniques based on context.
Develop reports and dashboards to address stakeholders' key concerns and enable data-driven decision-making.
Exploratory Data Analysis:
Collects and tabulates data and evaluates results to determine accuracy, validity, and applicability.
Supports the identification and application of statistical techniques based on requirements.
Applies suitable technique under direction from leadership.
Assists in the planning, design and implementation of exploratory data analysis research projects.
Understands existing statistical models and identifies and recommends statistical models based on hypothesis.
Conducts statistical experiments (for example hypothesis tests, confidence intervals) and builds basic statistical models using tools such as Python & R.
Uses advanced knowledge in data discovery tools to write queries and analyzes data to identify patterns, trends, outliers, and correlations.
Identify potential risks related to process and system changes.
Coordinates, completes, and oversees job-related activities and assignments by developing and maintaining relationships with key stakeholders; supporting plans and initiatives to meet customer and business needs; identifying and communicating goals and objectives; building accountability for and measuring progress in achieving results; identifying and addressing improvement opportunities; and demonstrating adaptability and promoting continuous learning.
What you'll bring:
Bachelor's degree in Data Science, Statistics, Supply Chain Management, or a related field.
Master's degree preferred.
Proven experience (5
years) as a Data Analyst within a supply chain or logistics environment.
Proficient in SQL for data querying and analysis.
Expertise in data visualization tools - Tableau (preferred) or Power BI - to present complex information in a clear and concise manner.
Python a plus but not required.
Familiarity with ERP systems and data integration techniques.
Solid analytical and problem-solving skills with a detail-oriented approach.
Excellent communication and presentation abilities, with the ability to interact effectively with both technical and non-technical stakeholders.
Demonstrated ability to lead and manage projects independently and as part of a team.
Strong organizational skills and ability to handle multiple priorities in a fast-paced environment.
Experience with advanced statistical modeling and forecasting techniques.
Knowledge of machine learning algorithms and applications within the supply chain domain.
Familiarity with data warehousing and data engineering concepts.
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 responsibilities and qualifications required of employees assigned to this job.
The full Job Description can be made available as part of the hiring process.
Benefits & Perks:
Beyond our great compensation package, 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.
Equal Opportunity Employer:
Sam's Club is an Equal Opportunity Employer- By Choice.
We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them.
That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.
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 2 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.
Option 3:
4 years' experience in data analysis, data science,statistics, or related field.
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) Primary Location 2101 SE SIMPLE SAVINGS DR, BENTONVILLE, AR 72712-4304, United States of America Recommended Skills Adaptability Analytical Apache Spark Assessments Attention To Detail Automation Estimated Salary: $20 to $28 per hour based on qualifications.
|
|
 | |
