Sr Revenue Science Analyst

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Under minimum supervision, assumes lead roles in medium revenue threshold projects. Key contributor to analyze business problems of up to medium complexity. Generates computer aided quantitative and statistical business analysis by leveraging advanced tools and scientific modeling approaches related to customer analytics, market analysis and forecasting in support of the organization's global strategies.

Essential Functions

• 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 term 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 field such as engineering/operation research) and programming languages (e.g. SAS, SQL, Python, C, , Java, JavaScript or R), relational databases (e.g. Teradata, Oracle) or visualizations tools (e.g. Power
  
  BI, 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).

Minimum Education

Master’s degree in business, mathematics, economics, computer science, or other quantitative fields such as engineering/operations research.

Minimum Experience

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.

Knowledge, Skills, Abilities

One (1) year of experience or coursework with the following skills (skills can be gained concurrently with education): 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 field such as engineering/operations research), or any programming language (e.g. SAS, SQL, Python, C, , Java, JavaScript or R), relational databases (e.g. Teradata, Oracle) or visualizations tools (e.g. Power

BI, Tableau, Spotfire). Strong human relations, communications and analytical skills. Directly related advanced degrees may offset experience requirements.

Preferred Qualifications: Agile Project Management, Python, SQL, Quantitative analysis, Data Analysis, Data Science & Machine Learning.

Pay Transparency: This compensation range is provided as a reasonable estimate of the current starting salary range for this role across all potential locations. If this opportunity includes multiple job levels, the salary information represents the job level minimum and the job level maximum. Actual starting pay would be determined by experience relative to the job, market level, pay at the location for this job and other job-related factors permitted by law.

An employee may be eligible for additional pay, premiums, or bonus potential. The Company offers eligible employees health, vision and dental insurance, retirement, and tuition reimbursement.

Pay: Collierville - $7,488.36-$9,922.07 monthly;
Lakeland $7,488.36-$9,922.07 monthly, Plano - $7,882.48 - $10,444.28 monthly;
Harrison-$7,094.23 -$9,399.85 monthly;
Pittsburgh- $7,882.48 - $10,444.28 monthly.

Additional Details: The desired location for this hybrid position is Collierville-TN, Plano-TX, Harrison-AR, Lakeland-FL & Pittsburgh-PA. Candidates must live w/in 50 miles & are required to work onsite several times a week. Relocation available. Deadline: 06/05/25, 5 pm CT

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact

Applicants Have Rights Under Federal Employment Laws

• Equal Employment Opportunity is the Law
• EEO is the Law Supplement
• Pay Transparency Policy
• Family and Medical Leave Act (FMLA)
• Employee Polygraph Protection Act

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