Business Analyst II - Process and Data Analytics | Automations

WM is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law.

I. Job Summary

Do you thrive on turning data into insights and transforming manual processes into automated, high-quality solutions? Join the National Accounts team as a Launch Business Analyst, where you’ll shape smarter workflows, strengthen reporting and operational performance, and elevate the customer experience. In this role, you’ll combine analytics, process improvement, technology, and cross-functional collaboration to uncover opportunities, recommend practical solutions, and drive meaningful impact from day one.

II. Essential Duties and Responsibilities

1. Serve as a subject matter expert for assigned functions, processes, and business systems, providing guidance to team members and internal and external customers.
2. Develop reports, dashboards, and analyses that identify trends, capacity, quality, and operational performance, translating findings into actionable recommendations.
3. Monitor workflows, service commitments, data integrity, and work quality to ensure accurate, consistent, and timely delivery.
4. Investigate, track, and resolve operational issues in partnership with internal stakeholders, external customers, and cross-functional teams.
5. Assess risks associated with new or modified processes, systems, and business requirements, and recommend practical mitigation strategies.
6. Lead and support process improvement, standardization, and special projects using structured continuous-improvement methods, including Lean Six Sigma where appropriate.
7. Leverage reporting, automation, AI, scripting, and low-code/no-code tools to streamline workflows, reduce manual effort, and improve decision-making.
8. Support forecasting, capacity planning, workload analysis, performance measurement, and resource utilization.
9. Develop and maintain training materials, job aids, and process documentation; deliver training and ongoing support as needed.
10. Perform other duties as assigned.

III. Qualifications

A. Required Qualifications

1. Bachelor's Degree (accredited) in Business Administration, Analytics, Information Systems, Operations Management, or a related field; or
2. High School Diploma or GED (accredited) and 4 years of relevant work experience.
3. Three (3) years of relevant work experience in business analysis, operations, process improvement, reporting, workforce planning, project support, or related analytical functions.

B. Preferred Qualifications

1. Experience with Excel (advanced), Power BI, SharePoint, Smartsheet, Power Automate, Copilot, AI tools, scripting, or other automation technologies.
2. Experience with process improvement methodologies such as Lean Six Sigma, or continuous improvement frameworks.
3. Experience in operational forecasting, capacity planning, workforce management, workload modeling, or predictive analytics.
4. Experience designing, maintaining, or enhancing reporting infrastructure, databases, business intelligence solutions, or data governance practices.
5. Experience developing business process automation solutions and/or AI-enabled workflow improvements.
6. Experience creating training materials, process documentation, and operating procedures.

IV. Physical Requirements

Listed below are key points regarding physical demands, physical and occupational risks, and the work environment of the job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the job.

  The expected base pay range for this hybrid position (located in Windsor, CT) is $68,600 - $85,500. This range represents a good faith estimate for this position. The specific salary offered to a successful candidate may be influenced by a variety of factors including the candidate’s relevant experience, education, training, certifications, qualifications, and work location.