Analytics and Insights Lead
On-siteDetroit, Michigan, United States
Job Summary
Analytics and Insights Lead responsible for guiding client-facing CRM analytics initiatives across a diverse client base. Lead analytics delivery, strategy, and insights development to power audience segmentation, campaign optimization, and personalized customer experiences. Serves as the primary analytics lead for CRM initiatives, translating client goals into measurable metrics, actionable insights, and analytical plans; overseeing end-to-end delivery of analytics projects; mentoring junior team members; and collaborating with cross-functional teams on CRM strategy, activation, and deployment. The role emphasizes designing and delivering advanced analytics workflows, applying machine learning and AI techniques to improve marketing efficiency, ensuring data quality and scalable solutions, and partnering with client data engineering to maintain clean data pipelines and proper integration into reporting environments (e.g., Snowflake, Salesforce, GCP, AWS). Requirements include 5-7 years of relevant experience, strong SQL and Python skills, and a proven track record in client-facing analytics within marketing or consulting settings.
Required Qualifications
- 5-7 years of shown experience in analytics, data science, or CRM strategy within a marketing or consulting environment
- Strong background in statistical modeling, campaign measurement, and experimental design
- Familiarity with first-party CRM data systems, CDPs, and enterprise-level marketing stacks
- Hands-on expertise with SQL, Python, and visualization tools (Power BI, Tableau)
- Proven ability to lead client-facing relationships and deliver measurable outcomes
- Experience in segmentation, campaign measurement, predictive modeling, and AI applications
Desired Qualifications
- 5-7 years of experience in analytics, data science, or CRM strategy within marketing or consulting environments
- Strong track record leading and managing client-facing relationships
- Hands-on expertise with SQL and Python
- Experience with first-party CRM data systems and CDPs, and enterprise marketing stacks
- Proficiency with data visualization tools (Power BI, Tableau)
- Experience with segmentation, campaign measurement, A/B testing, and predictive modeling
- Ability to mentor junior team members and lead cross-functional collaboration
- Knowledge of AI applications in marketing and analytics (e.g., machine learning, AI agents)
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