Business Analyst, Product Management

Higginbotham•,

About The Position

The Business Analyst is a key contributor on the product management team, responsible for translating business needs into clear, actionable requirements that drive product development in a fast-paced environment. This role works closely with the Director of Product Management, engineering, and business stakeholders to gather, document, and validate requirements that support the delivery of high-impact technology solutions. This role operates in a Microsoft-based development environment, collaborating closely with engineering teams using Azure DevOps, SQL Server, and modern .NET-based solutions.

Requirements

2+ years of experience in a business analyst or similar role within a technology-focused organization
Strong ability to translate ambiguous business needs into structured, actionable requirements
Familiarity with Agile/Scrum methodologies and participation in sprint ceremonies
Excellent written and verbal communication skills; ability to engage both technical and non-technical audiences
Ability to Analyze and Solve Problems: Skill in recognizing challenges, exploring options, and implementing effective solutions in a timely manner
Attention to Detail: A strong focus on completing tasks and projects accurately and thoroughly
Communication Skills: Capable of expressing ideas clearly in both verbal and written forms and engaging with various audiences
Timely Task Completion: Ability to finish tasks and projects efficiently, managing resources and priorities effectively
Team Collaboration: Willingness to work together with others, promoting teamwork and supporting shared goals
Client Focus: Dedication to understanding and addressing the needs of clients and stakeholders to ensure their satisfaction
Dependability: Acknowledgment of the importance of being present and punctual.
Creative Thinking: Openness to suggesting new ideas and methods to improve processes and outcome
Organizational Skills: Capability to prioritize tasks and manage multiple projects simultaneously
Adaptability: Willingness to adjust to changing situations and priorities, showing resilience in a dynamic work environment

Nice To Haves

Experience with AI
Exposure to product analytics, customer journey mapping, or UX research
Background in, or familiarity with, the insurance or financial services industry
Experience writing SQL queries or working with data to support analysis
Working knowledge of database server concepts (tables, relationships, basic queries, data validation)
Experience working in a DevOps environment (boards, backlogs, sprint planning, and reporting)

Responsibilities

Elicit, document, and manage detailed business and functional requirements through stakeholder interviews, workshops, and process analysis
Translate business objectives into user stories, acceptance criteria, and process flows for development teams
Analyze existing workflows and systems to identify gaps, inefficiencies, and opportunities for improvement
Collaborate with engineering teams to refine requirements based on technical constraints, data considerations, and system dependencies
Partner with product managers to maintain and refine the product backlog, ensuring stories are well-defined and prioritized
Support sprint planning, backlog grooming, and product release activities
Assist in validating delivered features against acceptance criteria and business intent
Create, maintain, and manage work items (epics, features, user stories, defects) in Azure DevOps
Serve as a liaison between business stakeholders and the development team to ensure shared understanding of requirements
Facilitate requirements reviews, walkthroughs, and sign-off sessions with relevant stakeholders
Communicate status, risks, and dependencies clearly to the Director of Product Management
Maintain clear, version-controlled documentation including BRDs, process maps, and data flow diagrams
Track and report on backlog health, requirement completion, and outstanding open items
Contribute to product analytics efforts by helping define KPIs and interpreting usage data
Document data-related requirements, including source systems, data definitions, and reporting considerations