Business Analyst (Data Solutions)

** This is a direct hire for one of our clients out of Minneapolis, MN. It is a hybrid role with onsite requirements 4 days/week. Eligible candidates must be authorized to work in the U.S. without visa or sponsorship.**

Our client is seeking a Data Initiatives & Solutions Associate to serve as a key bridge between business stakeholders and technology teams. This role is responsible for identifying business needs, translating requirements into actionable technology solutions, leading high-impact initiatives, and helping evaluate systems, processes, and automation opportunities. The ideal candidate is a relationship-focused problem solver who thrives in ambiguity, enjoys challenging assumptions, and can independently drive projects from concept through implementation.

This position offers the opportunity to work on highly visible initiatives, including AI and automation projects, enterprise system integrations, SharePoint modernization efforts, and business process transformation while partnering directly with key stakeholders across the organization.

Responsibilities

• Partner with business stakeholders and technology teams to identify, evaluate, and solve business challenges.

• Gather, analyze, and translate business requirements into clear technology requirements and actionable solutions.

• Challenge proposed solutions to uncover underlying business needs and recommend scalable approaches.

• Lead and support strategic initiatives involving process improvement, systems integration, data management, and technology enablement.

• Manage project workstreams, conduct research, evaluate options, and present recommendations to stakeholders.

• Facilitate communication and collaboration between business teams, technology partners, and cross-functional stakeholders.

• Support enterprise initiatives involving SharePoint migration, AI adoption, automation opportunities, and system enhancements.

• Evaluate business processes and workflows to identify opportunities for increased efficiency and effectiveness.

• Collaborate with stakeholders across multiple locations and time zones to ensure project success.

• Contribute to strategic decision-making by providing analysis, recommendations, and business insights.

Qualifications

• Bachelor's degree or equivalent combination of education and experience.

• Approximately 3-5 years of experience in business analysis, solutions analysis, project coordination, process improvement, or a related field.

• Strong relationship-building, communication, and stakeholder-management skills.

• Demonstrated ability to translate business needs into technology requirements.

• Strong critical thinking, problem-solving, and decision-making abilities.

• Ability to independently manage projects and work through ambiguity with limited direction.

• Comfortable balancing changing priorities and competing business needs.

• Strong organizational skills and attention to detail.

• Proficiency with Microsoft Office applications, including practical Excel skills.

• Ability to learn quickly, ask insightful questions, and collaborate effectively across business and technical teams.

• Willingness to work a hybrid schedule with four onsite days per week in Minneapolis.

• Flexibility to support global stakeholders and occasional early morning or late-day meetings as business needs require.

Nice to Haves

• Experience with Jira, Atlassian products, or other agile/project management platforms.

• Exposure to SQL and data analysis concepts.

• Experience with AI tools, automation technologies, or process automation initiatives.

• Business intelligence experience using Power BI, Sigma, or similar reporting platforms.

• SharePoint experience, particularly migration or implementation projects.

• Experience with DealCloud or similar pipeline management systems.

• Experience with process mapping, workflow documentation, or requirements visualization tools.

• Financial services, investment management, or enterprise business experience.

• Experience working with global teams and stakeholders.

Our Vetting Process

At Emergent Staffing, we work hard to find the data engineers who are the right fit for our clients. Here are the steps of our vetting process for this position:

1. Application (5 minutes)

2. Online Assessment (40 minutes)

3. Initial Video Interview (30-45 minutes)

4. Client Phone Interview (30 minutes)

5. Client On-site interview (60-90+ minutes)

6. Job Offer!

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