Business Analyst II

As a family company, we serve people and communities. When you work at Meijer, you’re provided with career and community opportunities centered around leadership, personal growth and development. Consider joining our family – take care of your career and your community!

 

Meijer Rewards

• Weekly pay

• Scheduling flexibility

• Paid parental leave 

• Paid education assistance

• Team member discount

• Development programs for advancement and career growth

 

Please review the job profile below and apply today!

The Business Analyst II is responsible for identifying, shaping, and delivering artificial intelligence and automation opportunities across the business. This role leads process discovery, defines solution requirements, and builds the business case and ROI model that justify and measure each investment, translating business problems into agentic AI, generative AI, and workflow automation solutions.

The Business Analyst II will work with business product owners, data scientists, engineers, and quality analysts to drive measurable value delivery and will participate in all phases of Agile solution delivery.

Position will follow our hybrid schedule: Monday-Wednesday in Grand Rapids MI corporate office, Thursday-Friday remote. Position is not sponsorship eligible.  

What You'll be Doing:

• Partners with business stakeholders to identify, qualify, and prioritize AI and automation opportunities, and manages the intake and discovery process from idea to funded work.
• Maps current-state processes and designs future-state workflows, quantifying transaction volumes, manual effort, cycle time, handoffs, and error rates to size the opportunity.
• Builds the business case and ROI model for each opportunity — cost to deliver, expected benefit, payback period, and risks — then tracks realized benefits after deployment and reports results to leadership.
• Translates business problems into clear solution requirements for agentic AI, generative AI, and automation solutions, including user stories, acceptance criteria, decision logic, and exception handling.
• Designs, tests, and iterates prompts and agent instructions; evaluates model output for accuracy, relevance, tone, bias, and hallucination, and defines the human-in-the-loop checkpoints each use case requires.
• Defines and executes evaluation plans for AI solutions, including accuracy benchmarks, golden data sets, edge cases, and regression testing before and after release.
• Assesses data readiness for each use case and documents source systems, data quality gaps, and lineage in partnership with data engineering and governance teams.
• Partners with Legal, Privacy, Information Security, and Risk to ensure solutions meet Responsible AI, data governance, and compliance standards.
• Collaborates with the Business Product Owner and IT partners to create and refine user stories and acceptance criteria for projects.
• Facilitates discovery workshops, solution demos, structured walk-throughs, and technical reviews with business and technical stakeholders.
• Supports adoption and change management by producing process documentation, standard operating procedures, training material, and stakeholder communications.
• Monitors deployed AI and automation solutions, triages issues, tunes performance, and identifies enhancement opportunities based on usage and outcome data.
• Participates with other IT members, customers, and other stakeholders in new product reviews, tests, and pilots, including evaluation of emerging AI vendors and tools.
• Actively participates in all Agile team ceremonies.
• Assists in production support and maintenance of AI and automation solutions as needed.
• This job role may also provide facilitation of activities for Agile teams within ITS as acting Scrum Master.
• This job profile is not meant to be all-inclusive of the responsibilities of this position; may perform other duties as assigned or required

What You Bring with You (Qualifications):

• Bachelor’s degree in Business, Computer Science, Computer Information Systems, Business Information Systems, Data Analytics, Engineering or related discipline or equivalent work experience and technical training is required
• 2–5 years of experience in business/systems analysis, process improvement, or automation delivery, including demonstrated contribution to AI, generative AI, or automation initiatives.
• Demonstrated experience with process discovery and mapping techniques such as value stream mapping, BPMN, swimlane diagrams, or process mining, and with current-state and future-state design.
• Experience developing business cases, ROI models, and benefit measurement for technology investments.
• Working knowledge of generative AI and large language model concepts, including prompt engineering, retrieval-augmented generation, agentic workflows, and model evaluation methods.
• Familiarity with AI and automation platforms such as Microsoft Copilot and Power Platform, Azure OpenAI, Databricks, or comparable tooling is preferred.
• Ability to write clear user stories, acceptance criteria, and process and decision documentation.
• Working knowledge of SQL or a comparable ability to profile, query, and validate data is desirable.
• Understanding of Responsible AI, data privacy, and data governance considerations and how they shape solution design.
• Any SAFe certification (SSM, SASM, SA, SPC, SPMPO) or business analysis certification (CBAP, CCBA, PMI-PBA) is preferred.
• Experience as a team member on project teams in a cross-functional environment.
• Experience on Agile teams is preferred.
• Strong analytical and problem-solving skills, including the ability to structure ambiguous problems and work from incomplete information.
• Strong verbal and written communication skills with an ability to express complex technical concepts in business terms.
• Solid teamwork, interpersonal, and facilitation skills. Ability to work well on cross-functional project teams and foster team commitment to tasks.
• Knowledge of agile practices in a cross-functional environment preferred
• Ability to effectively adapt to rapidly changing technology and apply it to business needs.
• Ability to establish and maintain a high level of customer trust and confidence.
• Ability to provide high level of quality and productivity.