Summary

As a Senior Analyst, Data Science & Audience Solutions, you will play a critical role in this transformation - designing advanced predictive models and in-market tests, optimizing marketing spend, and partnering with cross-functional teams to deliver actionable insights. This is your chance to influence key business decisions, experiment with tools and platforms, and be part of a team that is shaping the future of how the company engages its key audiences. If you are ready to make a measurable contribution to an expanding and innovative focused team, we would love to learn more about you!

Responsibilities

• Consult and partner with internal stakeholders to develop an analytical agenda to optimize direct marketing spend for customer acquisition.
• Manage innovations in analytical/statistical methods and applications of analytics/statistics to develop best-in-class solutions to business problems.
• Design, develop, deploy, and maintain state of the art predictive analytic approaches to optimize end-to-end acquisition economics (including response, conversion, premium, risk and lifetime value models).
• Design and deliver key marketing metrics and results to track business performance and identify areas of opportunities and risks
• Manage the test and learn process for marketing activities across all marketing channels. Apply methodologies such as Design of Experiments (DOE) to determine cause and effect relationships between marketing actions and business outcomes to optimize marketing spend.
• Utilize deep understanding of media program results and strong communication skills to influence decision making and optimization decisions.
• Build partnerships with other leaders in marketing and across data analytics organizations to share knowledge and insights, align to best practices, and drive improvements.
• Design new data pipelines and produce processes to collect and organize structured and unstructured sources of information. Create, Manage and Optimize audiences and the definitions from Enterprise CDP. Segregate data based on campaign criteria.
• Design scientific experiments and build models to test hypotheses. You will develop segments, audiences and propensity-to-sell scores from 1st, 2nd and 3rd party data
• Discover nascent audience segments and craft precise marketing initiatives to engage them
• Collaborate seamlessly with Marketing and IT Transformation teams to create an integrated view from targeting to effectiveness measurement

Education & Experience Requirements

Education:

• Bachelor’s degree in computer science, Information Systems, Data Sciences, Statistics or Business; or additional equivalent work experience/training relevant to perform job duties.

Experience:

• 4-6 years data analytics experience to include data mining, data science, database architecture, data modeling, predictive analysis, time series analysis, machine learning, and developing large data pipelines.
• Strong influence, communication, and presentation skills, bridging gaps between data and business owners
• Experience with at least one major cloud database technology (Snowflake, Redshift, Big Query, Databricks). Familiarity with Adobe Experience Platform.
• Strong Python and SQL skills.

Knowledge, Skills & Abilities

• Experience working with Python, R, Adobe Experience Platform, MS Azure, SQL and any ETL
• Excellent analytical and problem-solving skills.
• Naturally curious, intrinsically motivated, and thrive in roles that allow you to engage with a wide range of topics and stakeholders.
• Ability to think strategically and develop innovative solutions to business challenges with data and research
• Comfortable working on multiple priorities while adhering to strict deadlines.

Certifications

• Professional Certificate in Data Science or Database Architecture preferred.

Physical Requirements

This position operates in a typical office environment and requires the ability to perform essential job functions with or without reasonable accommodation. Physical requirements may include:

• Prolonged periods of sitting at a desk and working on a computer.
• Frequent use of hands and fingers for typing, handling documents, and using office equipment.
• Occasional standing, walking, bending, and reaching.
• Ability to lift and carry up to 30 pounds as needed.
• Clear verbal and written communication skills for effective interaction with colleagues and stakeholders.

Work Environment

Hybrid Position (3 Days In-Office, 2 Days Remote):

• This position follows a hybrid work schedule, requiring in-office presence [three days per week] and remote work [two days per week]. Core work hours will be designated by the department.  The office environment includes a standard workstation setup with collaborative spaces, while remote work requires a reliable high-speed internet connection and a suitable home workspace. Employees must maintain availability during standard business hours and adhere to company policies for both in-office and remote work.

Travel: 0 – 10%

The hiring range for this position is $88,000 to $110,000 per year. This range is an estimate, and the actual salary may vary based on the candidate's experience, skills, and qualifications. SHRM offers a competitive and comprehensive total rewards package. The benefits for this position include professional growth and development, health, dental, vision, well-being, health savings, flexible spending, retirement, open leave, and annual discretionary bonus and incentives.