Sr Revenue Science Analyst

About the Role

Key Responsibilities

• Assists in synthesizing analytical views from various business dimensions in support of business decisions based on business plans, actual or forecast enterprise performance, products, channels, automation types, industry, competition, market and customer segments.
• Determines go-to-market tactics related to specific target customers, markets and products in terms of marketing communication and sales calls.
• Typically works in tandem with peers from other groups.
• Independently attends cross-functional meetings and discussions to understand analytical requirements across enterprise business functions.
• Demonstrates excellence in computer aided decision support by utilizing computer languages or packages to analyze data and generate reports, presentations or insights in business, mathematics, economics, computer science, or other quantitative fields such as engineering/operations research.
• Uses programming languages (e.g., SAS, SQL, Python, C, VB.net, Java, JavaScript, R), relational databases (e.g., Teradata, Oracle), or visualization tools (e.g., PowerBI, Tableau, Spotfire).
• Mentors and trains professionals in less senior positions within the team on quantitative data analysis.
• Provides updates and reports to upper management.

Requirements

• Master's degree in business, mathematics, economics, computer science, or other quantitative fields such as engineering/operations research.
• Two (2) years of work experience in an analytical, quantitative or technical role in business, mathematics, economics, computer science, or related fields.
• One (1) year of experience or coursework with skills in computer-aided decision support, programming languages (e.g., SAS, SQL, Python, C, VB.net, Java, JavaScript, R), relational databases (e.g., Teradata, Oracle), or visualization tools (e.g., PowerBI, Tableau, Spotfire).
• Strong human relations, communications, and analytical skills.

Nice to Have

• Agile Project Management
• Python
• SQL
• Quantitative analysis
• Data Analysis
• Data Science & Machine Learning

Qualifications

• Educational background as specified in the minimum education requirement

Benefits & Perks

• Health, vision, and dental insurance
• Retirement plans
• Tuition reimbursement