AVP, Lowe's Analytics; L10
Listed on 2026-02-16
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IT/Tech
Business Systems/ Tech Analyst, Data Analyst
Location: Eastern
Role Title
AVP, Analytics – Lowe’s (L10)
Company OverviewSynchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work.
We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by Ambition Box Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies.
Our Analytics organization comprises data analysts who focus on enabling strategies to enhance customer and partner experience and optimize business performance through data management and development of full stack descriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growth.
Role Summary / PurposeAVP, Lowe’s Analytics role (Individual Contributor) is a part of India Analytics Hub (IAH). The role involves developing analytical solutions in partnership with US Analytics teams across marketing planning, measurement and optimization, customer analytics, targeting & segmentation, forecasting, etc. areas to identify growth opportunities, optimize business strategies and derive actionable insights across customer journey.
Key Responsibilities- Lead, own and deliver portfolio analytics solutions.
- Provide hands-on analytic support to the Lowe’s as and when required and proactively manage analytic projects with weekly update on timeline, status, and resource allocation.
- Spearhead analytics delivery for new product launches, value propositions, customer acquisitions, lifecycle marketing and customer experience initiatives
- Lead strategic/complex analytics projects from beginning to end, including ideation, data mining, strategy formulation, and presentation of results and recommendations
- Design, develop, implement and monitor analytic solutions catering to business priorities and propose new analytic solutions to optimize business value and customer experience
- Create test and learn culture through ongoing assessment of marketing programs/campaigns
- Drive internal initiatives, perform other duties and/or special projects, as assigned
- Cultivate strong relationships with Analytics Partners, sales and marketing leaders to effectively communicate the value proposition and enhance client engagement
- Develop impactful presentations that tell a compelling story using data, highlighting actionable insights and recommendations.
- Explore and adopt latest tools and techniques in the industry and leverage them for business growth including initiatives to promote the use of open-source technologies.
- Actively discuss the projects, showcase & drive for implementation and gauge the business impact.
- Work with cross-functional teams to facilitate the data collection and performance measurement process and escalate issues as necessary and make contributions to research and analyses on priority projects within established guidelines.
- Deliver projects adhering timelines, accuracy & compliance with meticulous project management.
- Proactive & regular communication with Stakeholders on Projects & People
- Foster a positive team culture and interactive work environment that encourages engagement and inclusion of fun elements.
- Minimum 4 years of experience in building analytical solutions to drive strategy with positive outcomes and measuring impact
- Minimum 4 years of hands-on SQL and SAS programming experience with an ability to leverage advanced algorithms and be efficient in handling complex/large data sets
- Good working knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc.
- Advanced proficiency in MS-Excel and MS-PowerPoint with superior data analyses and story boarding skills
- Ability to work in…
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