Product Success Analyst

As a Product Success Analyst, you will be the foundation of the Product Success team within Field Assist's Customer Experience & AI Solutions charter. In this role, you will support senior team members in delivering tailored, customer-centric solutions, ensuring smooth project execution, and helping drive adoption of Field Assist's AI and product capabilities. You will gain exposure to solutioning, data analysis, and product alignment, while developing the skills to grow into more advanced roles in the team.

Responsibilities

Customer Support & Solutioning

Assist in preparing customized solutions for customer use cases using existing Field Assist tools.

Document client requirements and ensure they are accurately captured for solution design. Support senior team members in preparing presentations, reports, and solution walkthroughs for clients.

Product Alignment & Execution

Track customer feedback and requests, maintaining organized logs for review.

Help align customer needs with available product features and highlight gaps for senior review.

Assist in project execution tasks such as preparing rollout material, tracking adoption, and monitoring issue resolution.

Data Analysis & Reporting

Collect and clean customer and product usage data for analysis.

Use Microsoft Excel (pivot tables, formulas, advanced functions) to churn and analyze data.

Prepare simple dashboards and reports that highlight adoption, usage, and basic success metrics.

Exposure to Power BI or other visualization tools is a strong plus.

Collaboration & Communication

Coordinate with internal teams (Product, Customer Success, Sales) for information sharing and follow-ups.

Support cross-functional projects by preparing trackers, notes, and documentation.

Maintain proactive communication with senior stakeholders in the team for project updates. Assist in building client-ready presentations in Microsoft PowerPoint, ensuring professional storytelling.

Who We're Looking For

Bachelor's degree in Business, Engineering, Computer Science, or related field.

0–2 years of experience in business analysis, customer success, or SaaS/enterprise solutions (internship experience counts).

Proficiency in Microsoft Excel (pivot tables, data analysis, formulae, data structuring).

Strong working knowledge of Microsoft PowerPoint for business storytelling and client presentations.

Familiarity with visualization tools (Power BI, Tableau, or similar) is a plus.

Ability to understand code at a high level (e.g., SQL, Python, APIs) is a plus, though not mandatory.

Good communication and presentation skills, with the ability to create clear, client-friendly documents.

Eagerness to learn, adaptability, and attention to detail.