Sr. Revenue Science Analyst

Location: Hybrid in Collierville, Tennessee, United States; candidates must live within a 50-mile radius. Employees must work at a hirify.global office location up to several times per week.

Company

Global organization supporting business decisions through customer, market, revenue, and enterprise performance analysis.

What you will do

• Lead medium-threshold revenue science projects and analyze business problems of medium complexity.
• Develop quantitative and statistical analyses using advanced tools and scientific modeling approaches.
• Analyze customer segments, markets, products, channels, competition, automation types, and enterprise performance.
• Determine go-to-market tactics for target customers, markets, and products across marketing communications and sales calls.
• Work with cross-functional peers to understand analytical requirements and support business decisions.
• Provide analytical updates and reports to upper management while mentoring less senior professionals.

Requirements

• Master’s degree in business, mathematics, economics, computer science, engineering, operations research, or another quantitative field, plus two years of relevant experience; a PhD may replace this combination.
• At least one year of experience or coursework in computer-aided decision support, programming, relational databases, or data visualization.
• Experience with tools or languages such as SAS, SQL, Python, C, VB.NET, Java, JavaScript, or R.
• Experience with relational databases such as Teradata or Oracle and visualization tools such as Power BI, Tableau, or Spotfire.
• Strong human relations, communication, and analytical skills.
• Must live within a 50-mile radius of Collierville, Tennessee, and be able to work from the office several times per week.

Culture & Benefits

• Collaborative work with peers across business functions.
• Opportunities to mentor and train professionals in less senior positions.
• Equal employment opportunity and reasonable accommodations throughout the application process.