Business Systems Analyst

dentsu•Detroit, MI

3d•$68,000 - $120,000•Hybrid

About The Position

At Merkle, the Business Systems Analyst bridges business strategy and technical delivery, working directly with clients and cross-functional teams to uncover business needs, define solutions, and support data, marketing technology, and AI-driven initiatives. The role serves as a trusted advisor and problem solver, helping clients navigate complex challenges while partnering with architects, engineers, and business leaders to deliver meaningful outcomes. The analyst leads client discovery and requirements sessions, translates business challenges into actionable requirements and solution recommendations, and contributes to pre-sales and solution design. They communicate technical concepts in business-friendly language; create requirements documentation, process flows, user stories, and solution summaries; and build alignment among stakeholders. The role owns workstreams and collaborates with engineers, architects, and project teams to manage priorities, dependencies, and milestones. It supports sprint planning, backlog refinement, testing, and user acceptance activities, and identifies risks to help keep delivery on track. The analyst also uses AI tools to improve work processes, explores new technologies, and stays current on customer data, marketing technology, analytics, and AI platforms. The position is full-time and permanent. Employees within commuting distance of a hub office—currently Chicago, metro Detroit, Los Angeles, and New York City—are expected to work in the office three days per week, except Los Angeles employees, who are expected to work two days per week. Employees outside a commutable range may be designated remote depending on role and business needs. Employees may need to attend an office as required by the company or its clients. The annual salary range is $68,000–$120,000.

Requirements

Experience in business analysis, consulting, solutions delivery, product, or technology-focused roles.
Enjoy working directly with clients and facilitating conversations that drive outcomes.
Ability to communicate comfortably with technical teams and business stakeholders.
Organized, proactive approach and comfort managing multiple priorities.
Regular use of AI tools to improve work and solve problems.

Nice To Haves

Experience with platforms such as Adobe, Salesforce, Snowflake, Databricks, BigQuery, or similar technologies.
Understanding of data flows, integrations, customer data, and marketing technology ecosystems.

Responsibilities

Lead client discovery workshops and requirements sessions to uncover business needs and drive decisions.
Ask questions, identify gaps, and help stakeholders clarify their goals.
Translate business challenges into actionable requirements, use cases, and solution recommendations.
Contribute to pre-sales conversations and solution design discussions.
Translate technical concepts into clear, business-friendly language.
Create requirements documentation, process flows, user stories, and solution summaries.
Help clients understand how data, technology, and AI can support their goals.
Build alignment among stakeholders with differing priorities and perspectives.
Own workstreams and collaborate with engineers, architects, and project teams.
Manage priorities, dependencies, and delivery milestones.
Support sprint planning, backlog refinement, testing, and user acceptance activities.
Identify risks early and help teams address delivery challenges.
Use AI tools to improve requirements gathering, documentation, analysis, and workflow efficiency.
Explore new technologies and recommend more effective ways of working.
Stay current on trends in customer data, marketing technology, analytics, and AI platforms.