We are seeking a Data & AI Consultant to join our team and help clients across CPG, retail, restaurants and QSR, travel and hospitality turn data into business outcomes. In this role, you will combine strong data and analytics solution design capability with deep knowledge of pricing, promotion, merchandising, and trade spend to define the strategies and architectures that power revenue growth management decisions.
Req.#1090631748
Responsibilities
Partner with clients to understand business objectives, challenges, and data requirements across pricing, promotion, assortment, and trade spend, and translate them into data and analytics solution designs
Define data and AI strategies and roadmaps for revenue growth management, merchandising, and trade promotion analytics
Design analytics solution architectures spanning POS/scanner, syndicated panel, loyalty, and trade data from providers such as NielsenIQ, Circana, etc.
Define modeling approaches for price elasticity, promotion lift and ROI, demand forecasting, and assortment optimization, and guide data science teams through implementation
Analyze CPG, consumer, market, and sales data to synthesize findings into clear, actionable insights and recommendations
Shape analytics solution designs that make pricing, promotion, and merchandising insights usable by client teams
Identify opportunities to apply advanced analytics and AI/ML to accelerate insight generation on commercial data
Create and deliver clear technical and business presentations that communicate complex analytical results and recommended solutions
Collaborate with data engineers, data scientists, and client commercial teams to guide delivery of end-to-end analytics solutions
Requirements
Strong experience in data and analytics consulting with the ability to design solutions and guide technical teams (working knowledge of SQL and Python or R)
In-depth understanding of commercial functions (pricing, promotion, merchandising, trade terms) in at least one consumer industry, with the ability to extend that expertise across adjacent sectors
Proven ability to define data and analytics solution architectures and translate business problems into technical approaches
Experience with syndicated data providers (NielsenIQ, Circana, Numerator, dunnhumby, 84.51°, SPINS) and/or RGM or trade promotion platforms (Vistex, o9, Blue Yonder, Revionics, PROS) highly desirable
Experience applying AI to commercial analytics use cases
Familiarity with cloud data platforms (Databricks, Snowflake, AWS, Azure, or GCP)
Strong communication and stakeholder management skills, able to translate technical analysis and strategy for business audiences
Nice to have
Exposure to marketing mix modeling or causal inference/elasticity modeling
We offer
Medical, Dental and Vision Insurance (Subsidized)
Health Savings Account
Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
Short-Term and Long-Term Disability (Company Provided)
Life and AD&D Insurance (Company Provided)
Employee Assistance Program
Unlimited access to LinkedIn learning solutions
Matched 401(k) Retirement Savings Plan
Paid Time Off - the employee will be eligible to accrue 15-25 paid days, depending on specific level and tenure with EPAM (accrual eligibility may change over time)
Paid Holidays - nine (9) total per year
Legal Plan and Identity Theft Protection
Accident Insurance
Employee Discounts
Pet Insurance
Employee Stock Purchase Program
If otherwise eligible, participation in the discretionary annual bonus program
If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program
For remote work in New York City only.
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.Engineer the Future with a Career at EPAM (https://www.youtube.com/embed/NU_mnNITn2o?si=IiCxyQ4sr1YJWxDG)
This posting includes a good faith range of the salary EPAM would reasonably expect to pay the selected candidate. The range provided reflects base salary only. Individual compensation offers within the range are based on a variety of factors, including, but not limited to: geographic location, experience, credentials, education, training; the demand for the role; and overall business and labor market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: $220,000 - $240,000. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position.
Applications will be accepted on a rolling basis.
EPAM will not provide new H-1B visa sponsorship for this position. Candidates with existing transferable H-1B status may be considered.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
EPAM Systems, Inc. is an equal opportunity employer. We recognize the value of diversity and inclusion in creating success for our customers, business partners, shareholders, employees and communities. We are committed to recruiting, hiring, developing and promoting employees without discrimination. As a global employer, this commitment includes complying with all laws in the countries in which we operate. Nevertheless, we believe equal employment practices should not be limited to what the law requires. Equal opportunity and inclusion are essential to motivate, empower and recognize the best in everyone.
At EPAM, employment actions are based on individual qualifications, without regard to race, color, religion, creed, gender, pregnancy status, sexual orientation, gender identity, gender expression, marital or familial status, national origin, ancestry, genetics, age, disability status, veteran status, citizenship status when otherwise legally able to work, or any other characteristic protected by law.
