Consumer Offer Analytics Manager

Minimum qualifications:

• Bachelor’s degree in Finance, Mathematics, Statistics, Economics, Computer Science, a related quantitative field, or equivalent practical experience.
• 4 years of experience in management consulting, sales operations, business strategy, investment banking, venture capital, private equity, or corporate advisory, or 2 years of experience with an advanced degree.
• 3 years of experience in data analysis, statistical modeling, or a similar role.

Preferred qualifications:

• Master's degree in a quantitative field such as Mathematics, Statistics, or Economics.
• 3 years of experience working within mobile phone Original Equipment Manufacturer (OEM) or Carrier business.
• Experience in executing operational initiatives on a global scale.
• Experience in running simulations and generating forecasts for supply/demand.
• Understanding of the mobile industry through carriers, handsets, and related technologies.
• Proficiency with SQL and advanced users of spreadsheet and in-depth understanding of BI Databases.

As a Consumer Offer Analytics Manager, you will work closely with the Head of Consumer Offer Analytics in driving insights and informing decision-making.

In this role, you will develop and implement new data-driven processes and workflows to drive efficiency and quality in the Devices and Services Business Organization (DSBO) investments and communicate data analysis in a clear and concise manner to executive leadership.

The US base salary range for this full-time position is $118,000-$170,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

• Develop and maintain an understanding of our business, partners, and industry trends to guide decision making.
• Provide data-driven recommendations and scenario analytics to support investments and maximize business outcomes.
• Lead the adoption and user engagement of predictive models generated by the Global Consumer Offer Analytics team to help scenario planning and promotional dollar allocation.
• Partner with cross-functional teams globally to analyze data, identify trends, and provide insights that drive business growth and profitability leveraging Artificial Intelligence/Machine Learning (AI/ML).
• Improve existing processes and workflows to drive efficiency and quality.