Set the Analytics Vision: Define and execute the enterprise analytics strategy, ensuring alignment with organizational objectives and driving measurable business outcomes.
Lead and Mentor: Guide a team of Product Analysts and Data/BI Engineers, strengthening analytical rigor, solution craftsmanship, and professional growth.
Partner and Advise: Collaborate with business stakeholders to uncover requirements, shape problem statements, and recommend best-in-class data and technology solutions.
Translate to Action: Convert business needs into structured analytical workstreams, ensuring clarity of scope, prioritization, and delivery.
Influence Through Insight: Leverage data storytelling, behavioral analytics, and cross-functional collaboration to embed a data-driven mindset across Product, Marketing, Engineering, and Design.
Orchestrate Solution Delivery: Oversee the full lifecycle of data-driven solutions—from research and ideation to design, development, testing, and deployment—ensuring scalability and adoption.
Measure What Matters: Establish, monitor, and evolve KPIs for product and operational initiatives, presenting insights that guide decisions at both operational and executive levels.
Advance Analytical Innovation: Develop new analytical frameworks, statistical techniques, and predictive models to deepen understanding of product performance and customer journey

Requirements

Bachelor’s degree in engineering: Data Science, Computer Science, Statistics, Business Analytics, or related field; Master’s degree preferred but not required
10+ years’ of experience with 6+ years' professional experience working in analytics’ space, working with a manufacturing client or adjacent consumer industries like Retail/ Energy
3+ years of people leadership or informal mentorship of analytical teams
Strong analytics focus on product, growth, project management
Extensive knowledge of the manufacturing space including different sub-domains will be preferred
Sound knowledge of applied statistics, experimental design, data science techniques
Good SQL knowledge and experience, authoring queries working with variety of data platforms, and business intelligence systems / visualization tools (e.g., PowerBI/ Tableau)
Experience with cloud-based technologies like Azure and Databricks
Excellent communication skills, including the ability to clearly and effectively communicate and present analysis findings to stakeholders at all levels. Must be adept at translating analysis into cohesive, concise insights
Close attention to detail and a commitment to accuracy
Strong organizational skills and the ability to effectively prioritize in a deadline-driven atmosphere
Creativity and strong critical thinking skills

Benefits

For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits
Other rewards may include bonuses, as well as a Paid Time Off policy, and many region-specific benefits.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

data analyticsapplied statisticsexperimental designdata science techniquesSQLbusiness intelligencepredictive modelsanalytical frameworksdata storytellingKPI measurement

Soft skills

leadershipmentorshipcommunicationorganizational skillsattention to detailcreativitycritical thinkingcollaborationproblem-solvingprioritization