Business Systems Analyst

Epsilon powers the marketing and advertising ecosystem with data, technology, and services that enable marketers to engage consumers through a unified view, vision, and voice.

About the role

As a Business System Analyst, you will join a data-centric team focused on delivering technical solutions and strategies to achieve clients' digital marketing objectives using Epsilon’s market-leading cleanroom – PeopleCloud Prospect & Discovery. This role requires both business and technical expertise, acting as a primary liaison between clients, advertising agencies, technical product teams, and data science teams. You will work across the software development lifecycle (SDLC), including requirements gathering, documentation, design, and testing, while collaborating with the Delivery Lead to ensure on-time project delivery.

Responsibilities

• Integrate large marketers into Epsilon’s Cleanroom platform, PeopleCloud Prospect & Discovery, as part of a fast-paced and passionate team.
• Serve as the subject matter expert and client liaison, driving the execution and delivery of key digital initiatives with internal teams.
• Collaborate with internal teams, including Advertising Agencies, Data Science, Account Management, Client Development, Media Managers, Data Engineers, and Product Owners.
• Create and maintain purposeful project documentation, such as requirements, source-to-target specifications, process flow diagrams, data profiles, and test cases. Lead documentation reviews and gain acceptance.
• Establish traceability of business requirements to functional and non-functional specifications, covering data onboarding, business rules, and end-user use cases (e.g., digital campaigns, reports, analytical models).
• Analyze data quality and provide recommendations for improvements.
• Conduct product fitment analysis versus gap areas and create specifications for gap resolution.
• Support the onboarding of multiple data sources to a client’s cleanroom environment, focusing on documentation, business requirements, data workflows, source-to-target specifications, needs analysis, and validation.
• Partner with client services, product/data teams, and data science to ensure business requirements are captured and met, becoming a trusted advisor to client teams.
• Host effective client meetings, clarify deliverables, and drive successful outcomes.
• Support the development and implementation of best practices, standards, and methodologies around business and data analysis.

Qualifications

• 2+ years of experience in business analysis within the database or data-driven marketing space.
• Experience defining business requirements and functional specifications.
• Ability to translate business requirements into functional and technical specifications.
• Understanding of relational databases, data warehouses, and data mart concepts.
• Ability to assemble, analyze, and evaluate data.
• Understanding of SQL concepts.
• Curiosity and a desire for continuous learning.
• Strong critical thinking and problem-solving skills.
• Collaborative mindset with strong attention to detail.
• Excellent written and verbal communication skills.
• Strong presentation skills.
• Ability to multi-task, prioritize, and adapt to changing priorities.
• Experience working collaboratively with global teams.
• Understanding of web technologies (a plus).
• Previous digital marketing experience, particularly in online display advertising (preferred).
• Working knowledge of advertising technologies such as Demand-Side Platform (DSP), Supply-Side Platform (SSP), and Data Management Platform (DMP) (preferred).

Benefits

• Time to Recharge: Flexible time off (FTO) and 15 paid holidays.
• Time to Recover: Paid sick time.
• Family Well-Being: Parental/new child leave, childcare & elder care assistance, and adoption assistance.
• Extra Perks: Comprehensive health coverage, 401(k) with company match, tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, and health coaching/counseling.

Pay

Compensation range: USD $63,600.00 – USD $118,000.00 annually. Compensation will be determined based on skills, qualifications, and experience, consistent with applicable law.