Your Impact
With a focus specifically on Customer and Marketing Data Analytics, this role provides advanced actionable insights to support data-driven customer and marketing initiatives. This includes leading others responsible for translating business needs into effective customer and marketing analytics to drive continuous improvements across loyalty, customer, and marketing programs.

This role leads a team (or teams) of analytics resources working on complex and impactful analytics projects for the company. Over time, individuals in this role operate with more and more autonomy and discretion and take on more complex projects spanning multiple business functions. 

What you will do

Leads a team of analytical professionals who develop models and algorithms that drive rapid and real-time decision-making across business areas

Manages the team by prioritizing the work, balancing capacity and demand, guiding the team in their work, managing the team's performance, and providing professional development opportunities

Partners with business peers to quickly and efficiently translate business needs into analytic design and measurement plans that drive timely and relevant decisions for business performance

Partners with peers in IT, Data Analytics and Data Science to drive data connectivity recommendations to ensure holistic and seamless reporting of relevant OKRs, regardless of structure or system

Develops team-level objectives and helps analysts with the planning of supporting project plans to deliver the key activities of the team

Aligns the team’s time and effort on projects that are critical to business success; delegates the right tasks and decisions to the people who are in the best position to execute them

Manages on-time delivery of analytic solutions to stakeholder groups by overseeing direct and indirect reports that develop, maintain, and enhance analytic solutions; identifies dependencies, aligns priorities, and allocates resources

Drive adoption of data and analytics services with stakeholders; quantifies the impact of analytics and reporting solutions

Supports continuous process improvement by maintaining a thorough understanding of current business processes, researching competitors, and benchmarking industry best practices, and recommending process improvements that align with best practices and enterprise goals

Builds and maintains strong relationships with key cross-functional partners; provides coaching and guidance to analysts in support of these key relationships

Hires, trains, and develops talent for growth opportunities; monitors team/individual’s morale and engagement to maintain highly effective and collaborative environments

Provides leadership to the team by attracting and hiring talented individuals, setting goals and communicating clear expectations, providing timely and constructive feedback as well as meaningful developmental opportunities, managing performance, providing resources and support as needed, and sponsoring and leading team members through change and ambiguity

Provides input for departmental budget and manages expenses associated with initiatives within scope of responsibility

Conducts analysis/review of current analytics processes, models, etc. and makes recommendations for the adoption of new procedures

Qualifications
Minimum Qualifications

Bachelor’s Degree in Business, Economics, Engineering, Statistics, Data or Information Sciences, or related field (or equivalent work experience in a related field)

8 years of applied analytic experience spanning areas such as Merchandising, Commercial Business Support or other areas of retail operations (e.g., Marketing and Customer, Supply Chain, Pricing, Services, Inventory management)

3 years of experience leading project or technical teams with or without formal direct report responsibility; this includes experience providing technical direction, thought leadership, coaching and mentoring to team members

Experience with SQL

Familiarity with enterprise-grade environments (Teradata, Hadoop)

Experience with analytical tools like Python, SQL, SAS, R, Adobe, Alteryx, Knime, Aster, etc.

Experience working with Enterprise level databases (e.g., Hadoop, Teradata, GCP, Azure, Oracle, DB2)

Experience using enterprise-grade data visualization tools (e.g. MicroStrategy VI, Power BI, Tableau)

Functional experience performing predictive analytics at a large scale enterprise

Experience performing advanced data modeling, data mining and exploratory data analysis (e.g., linear/logistic regression, ARIMA, Cluster Analysis)

Experience translating business requirements into analytics models

Experience working cross-functionally

Experience presenting /communicating analytics results to business partners

Corporate retail experience

Preferred Qualifications

Master's Degree in Statistics, Mathematics, Data Science, Engineering or related field

Programming experience using tools such as R, Python

Data Science experience using tools such as ML, Text mining

Project management experience

Experience in customer and marketing analytics.

6 years of experience with advanced data modeling techniques (specific to the Digital Analytics Implementation role)

6 years of project management experience (specific to the Digital Analytics Implementation role)

About Lowe’s
 Lowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2023 sales of more than $86 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing and helping to develop the next generation of skilled trade experts. For more information, visit Lowes.com.

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.