Essential Functions:
• Provides sophisticated analytic capabilities to support business problems by understanding business challenges; collecting, cleaning, transforming, and restructuring data for statistical analysis; performing statistical summaries and tests for relevant business questions; working with other Business Intelligence team members to accomplish project work
• Uses quantitative modeling and statistical techniques to identify causal relationships between customer experience and business performance
• Translates unstructured data and questions into addressable project objectives. Independently drives work forward in ambiguous situations. Leverages vendor partners where needed to choose appropriate research and conduct qualitative and quantitative customer research. Connecting data to draw conclusions, synthesizing and reporting customer experience data and analysis in ways that are actionable
• Partners with business to understand key questions/upcoming decisions and provide customer input to business decisions. Independently drives work forward utilizing/leveraging playbook and vendor partnerships to choose research plan and conduct qualitative/quantitative research.
• Communicates analyses and insights to leaders by summarizing conclusions and solutions; translating analytics and statistics into clear, understandable themes for business leaders; identifying specific analytic results that drive actionable insights
• Generates and maintains regular reports, scorecards, dashboards, and web portals.
• Performs operational analysis, data mining, profiling, segmenting, synthesizing, and other strategic analysis to identify emerging trends and solve complex challenges.
• Promotes learning in others by providing guidance, advice, and knowledge share to other Business Intelligence team members; communicates information and drives projects forward; influencing team members within assigned business unit; adapting to competing demands and new responsibilities; provides feedback to others; including upward feedback to leadership and mentoring team members
• Performs closed-loop analysis to provide data that will be used to improve the quality and performance of products and processes, both in the day-to-day operations and long-term business strategies.
• Manages aspects of Customer Experience Programs—survey programming, sampling, questionnaire development, analysis, data distribution, and modernization efforts for the team.
• Conducts or oversees business specific projects by applying deep expertise in the subject area; developing work plans to meet business priorities and deadlines; determining and carrying out processes and methodologies; coordinating resources to accomplish organizational goals; partnering internally and externally to make effective business decisions; solving complex problems; escalating high priority issues or risk as appropriate; monitoring progress and results; recognizing and capitalizing on improvement opportunities
• Completes work assignments by applying up-to-date knowledge in subject area to meet deadlines; building an understanding of procedures, data, and resources to support projects or initiatives; collaborating with others, often cross-functionally, to solve business problems; understanding priorities, deadlines, and expectations; communicating progress and information; identifying and recommending ways to address improvement opportunities when possible
• Pursues self-development and effective relationships with others by organizing resources and information; openly sharing information and knowledge with coworkers and customers; seeking performance feedback; adapting to and learning from change, difficulties, and feedback
Minimum Requirements:
• Bachelor’s Degree in Analytics, Computer Science, or related field
• 5-7 Years experience performing data mining, data analysis, and data modeling using large data sets.
• 3-5 Years experience in data analytics and customer experience.
• 3-5 Years experience in data analysis and data modeling using large data sets.
• 1-2 Years experience working with Contact Center practices, systems, and tools.
• 1-2 Years experience interacting with individuals up to and including director on a regular basis.
• Advanced capability with Office applications (e.g., Excel, PowerPoint, and Access)
Preferences:
• 1-2 Years experience with feedback management and data analytics platforms.
• 1-2 Years experience using sentiment analysis tools to analyze customer feedback Experience writing SQL queries and working with large data sets.
• 1-2 Years experience with advanced predictive modeling practices and tools.
Pay Range: $70,400.00 - $117,400.00 annually
Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit our benefits page.
Lowe's hourly remote associates cannot reside in Alaska, California or Hawaii. Lowe's salaried remote associates cannot reside in Alaska or Hawaii.
Lowe’s is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.
Qualified applicants with arrest or conviction records will be considered for Employment in accordance with applicable laws, including the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act.
Lowe’s believes that conviction records may have a direct, adverse, and negative relationship to the following job duties: accessing company property, assets, information and products; partnering, supervising, and regularly working with other Lowe’s employees; and adhering to and monitoring compliance and safety guidelines.