Lead Advanced Analytics – Wireless Offer Performance, Investment Efficiency

Jobtailor; California (MO); On-site; USD 120,000 - 150,000; Full time

Job summary

Jobtailor is seeking a data analytics leader to gather and validate data from multiple sources, evaluate offer performance, and drive insights for design, pricing, and investment decisions. You will apply predictive modeling and scenario analysis to forecast budgets and growth.

In this high-impact role, you will lead analytics workstreams, influence leadership on spend efficiency, and maintain executive dashboards and readouts across the offer portfolio.

Qualifications

• Bachelor’s degree (BS/BA) in a quantitative field such as Data Science, Math, Statistics, Engineering, Physics, Economics, Finance, or related discipline
• 5+ years of related experience in advanced analytics, business analysis, data science, forecasting, financial analysis, marketing analytics, or related fields
• Experience with enterprise data platforms, data warehouses, visualization tools, and analytics/modeling tools preferred
• Examples of relevant tools include Snowflake, eCDW, BIDW, Databricks, Tableau, Power BI, SQL, Python, or similar tools
• Certification is required in some areas
• Office presence of a minimum of 5 days per week
• Must work in one of the posted locations; no relocation is offered

Responsibilities

• Gather, validate, and analyze data from multiple sources to evaluate offer performance
• Evaluate offer efficiency across the broader portfolio including spend, growth and profitability
• Analyze drivers of volume, retention, ARPU, channel mix, and promotional performance
• Develop insights and recommendations for offer design, gating, pricing, and investment decisions
• Apply statistical analysis, predictive modeling, trend analysis, and scenario modeling for forecasting and budget planning
• Build test-and-learn frameworks and recurring efficiency reviews to optimize spend and growth
• Lead analytics workstreams with strategic autonomy and translate findings into business actions
• Maintain executive reporting, dashboards, scorecards, and performance readouts

Skills

Advanced Analytics

Statistical Analysis

Predictive Modeling

Data Visualization

Financial Analysis

Influencing Decisions

Collaboration

Communication

Education

Bachelor’s degree in a quantitative field

Tools

Snowflake

eCDW

BIDW

Databricks

Tableau

Power BI

SQL

Python

Job description

Gather, validate, and analyze data from multiple internal and external sources to evaluate individual offer performance
Evaluate offer efficiency across the broader offer portfolio, including spend, growth, cost drivers, profitability, investment levels, incremental value, and customer quality
Analyze drivers of volume, gross adds, upgrades, retention, ARPU, device mix, channel mix, rate plan mix, customer cohorts, offer structures, eligibility, and promotional performance
Develop insights and recommendations for offer design, gating, targeting, pricing, promotional strategy, budget allocation, and investment decisions
Apply statistical analysis, predictive modeling, trend analysis, scenario modeling, and business case development for forecasting, budget planning, OEM negotiations, and investment decisions
Build test-and-learn frameworks and recurring efficiency reviews to improve performance, reduce inefficient spend, and redirect investment toward higher-value growth
Partner with Offer Strategy, Finance, Marketing, Business Analytics, leadership, and other analytics teams to align measurement and translate findings into business actions
Maintain executive reporting, dashboards, scorecards, and performance readouts for offer performance, spend efficiency, and investment effectiveness
Lead significant analytics workstreams with strategic autonomy and develop repeatable measurement frameworks
Influence decisions across Offer Strategy, Finance, Marketing, Business Analytics, OEM negotiation support, and leadership stakeholders

Requirements

• Bachelor’s degree (BS/BA) desired from an accredited university in a quantitative field of study such as Data Science, Math, Statistics, Engineering, Physics, Economics, Finance, or a related discipline
• 5+ years of related experience in advanced analytics, business analysis, data science, forecasting, financial analysis, marketing analytics, or related fields
• Experience with enterprise data platforms, data warehouses, visualization tools, and analytics/modeling tools preferred
• Examples of relevant tools include Snowflake, eCDW, BIDW, Databricks, Tableau, Power BI, SQL, Python, or similar tools
• Certification is required in some areas
• Office presence of a minimum of 5 days per week
• Must work in one of the posted locations; no relocation is offered

Core Competencies

Demonstrates expertise in advanced analytics, statistical analysis, and predictive modeling to drive data-informed decision-making and optimize offer performance. Proficient in utilizing data visualization tools and enterprise data platforms to communicate insights effectively.

Highest-signal resume keywords

• Advanced Analytics
• Statistical Analysis
• Predictive Modeling
• Data Visualization
• Financial Analysis

Hard Skills

• Data Analysis
• Forecasting
• Business Case Development
• Trend Analysis
• Scenario Modeling

Soft Skills

• Influencing Decisions
• Collaboration
• Communication

Certifications & Qualifications

• Certification in Analytics

Industry Keywords

• Offer Performance
• Spend Efficiency
• Investment Decisions
• Customer Quality
• Marketing Analytics

Tools & Technologies

• Snowflake
• ECDW
• BIDW
• Databricks
• Tableau
• Power BI
• SQL
• Python