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 (utilize 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) and programming languages (e.g. SAS, SQL, Python, C, VB.net, Java, JavaScript or R), relational databases (e.g. Teradata, Oracle) or visualizations 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 (typically within the department).

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 business, mathematics, economics, computer science, or other quantitative fields such as engineering/operations research, in an analytical, quantitative or technical role.
• One (1) year of experience or coursework with skills in computer-aided decision support (utilize computer languages or packages to analyze data and generate reports, presentation or insights in business, mathematics, economics, computer science or other quantitative fields such as engineering/operations research), or any programming language (e.g. SAS, SQL, Python, C, VB.net, Java, JavaScript or R), relational databases (e.g. Teradata, Oracle) or visualizations tools (e.g. PowerBI, Tableau, Spotfire).
• Strong human relations, communications and analytical skills.

Nice to Have

• Project management experience
• Demonstrated experience effectively driving major corporate initiatives
• Strong human relations, communications, and analytical skills

Benefits & Perks

• The Company offers eligible employees health, vision and dental insurance, retirement, and tuition reimbursement.