Data Science Consultant: AI-Driven Marketing Analytics

Cellco Partnership

Basking Ridge (NJ)

Hybrid

USD 110,000 - 160,000

Full time

6 days ago

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Job summary

Verizon in New Jersey (Basking Ridge) seeks a data-driven analytics professional to join the V Team. You will analyze data to forecast sales, evaluate campaigns, and provide decision support across product lifecycles.

You’ll collaborate with Network Engineering, Digital Operations, Finance, and Marketing to align insights with business goals. The ideal candidate has 4+ years in analytics or data science, with Looker, LookML, SQL, and Google Cloud Platform experience, delivering dashboards and

Qualifications

Bachelor's degree or 4+ years of relevant work experience.
4+ years of advanced analytics, measurement, or data science.
Experience with Looker & Qlik or similar visual analysis tool, optimization, analytics and large data sets, project management, developing visually compelling interactive dashboards.
Experience with data modeling using LookML in the Looker platform.
Experience with Google Cloud Platform (Big Query / Vertex AI / Looker / LookML / Looker Studio Pro).
Experience with programming language SQL.
Experience translating business problems into analytical solutions.

Responsibilities

Evaluating and enhancing marketing campaign effectiveness using advanced analytics, A/B testing frameworks, and ROI analysis.
Partnering with AI&A team to support the development of sophisticated ML models to predict customer behavior, churn patterns, sales transactions, and revenue.
Performing advanced analytics, modeling and data mining to develop insights on our business.
Developing unique customer lifecycle strategies and cross-BAU behavioral churn programs to proactively identify retention opportunities.
Assisting in the creation of executive dashboards, standardized reporting frameworks, and compelling visualizations to ensure data-driven decision-making is embedded across the organization.
Translating complex analytical findings into clear business recommendations, managing the Cost of Retention (COR) within financial guidance and supporting strategic marketing plans.
Monitoring performance and reporting ongoing and ad hoc metrics in reports, presentations, and dashboards targeted to the situation and audience.
Partnering with teams like Network Engineering, Digital Operations, Finance, and Marketing to align analytical solutions with business goals.