We are seeking a Manager, Customer Analytics to lead customer segmentation, audience strategy, campaign measurement, and customer insights for a large, data-driven consumer organization. This role will partner closely with Marketing, Loyalty, Personalization, Digital, and Media teams to leverage customer data, optimize marketing performance, and drive business growth. The successful candidate will combine robust analytical expertise with people leadership, helping shape customer strategy, influence business decisions, and lead a team responsible for reporting, experimentation, and advanced customer analysis.
Customer
Segmentation & Insights Lead the development of customer and audience segmentation strategies using behavioral, transactional, and demographic data. Conduct analyses such as customer lifetime value (LTV), RFM, basket analysis, churn analysis, and customer profiling. Translate complex data into actionable insights that improve customer acquisition, retention, loyalty, personalization, and marketing effectiveness.
Act as a thought leader in understanding customer behavior and identifying opportunities for growth. Evaluate campaign effectiveness across channels including email, digital, web, app, and paid media. Design and support experimentation programs, including A/B testing, holdout testing, audience testing, and incrementality measurement.
Reporting & Business Performance Deliver strategic recommendations that influence marketing investment, customer engagement strategies, and business priorities. Leadership & Stakeholder Management Partner with stakeholders to manage expectations, align on priorities, and communicate analytical findings effectively. Simplify technical concepts and analytical methodologies for non-technical audiences while maintaining credibility with highly technical teams.
Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to
[email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: 7+ years of experience in Customer Analytics, Marketing Analytics, Business Intelligence, Data Science, or a related field. ~Strong hands‑on experience building customer segmentation strategies and audience frameworks. ~ Advanced SQL skills for data extraction, transformation, and analysis. ~ Experience with dashboarding and visualization tools such as Tableau, Looker, Power BI, or similar platforms. ~ Proven ability to analyze CRM, loyalty, personalization, eCommerce, or digital marketing programs. ~ Strong business acumen with the ability to translate analysis into actionable recommendations. ~ Excellent communication and stakeholder management skills. ~ Knowledge of statistical modeling, predictive analytics, and customer behavior analysis. ~ Experience with experimentation methodologies including A/B testing, incrementality testing, attribution, or marketing mix modeling.Experience with Python or R, or other analytical/statistical tools. ~ Familiarity with cloud based data platforms and large-scale datasets and experience working with marketing automation, CRM or customer engagement platforms. #
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