Business Analyst (Data & AI)

Everest Technologies•Columbus, OH

17h

About The Position

The Business Analyst (BA) for the Data & AI team will play a critical role in bridging business needs and technical execution across data, analytics, and AI initiatives. This role involves gathering and refining requirements, mapping business workflows, identifying automation opportunities, enabling data-driven decision-making, and supporting delivery teams through clear documentation and alignment with stakeholders.

Requirements

Strong analytical & critical thinking skills, with the ability to clearly articulate problems and support designing scalable solutions for complex business needs.
Willingness to learn new things and adapt quickly to a team and enterprise undergoing positive transformation and growth
Ability to foster a sense of purpose among the team and create a culture of transparency with clear accountabilities and metrics
Demonstrated ability to foster a culture of innovation and a high-agency mindset
Excellent communication and collaboration skills, with the ability to work across teams and with business stakeholders.
Bachelor’s degree in Business, Information Systems, Computer Science, or related field.
5+ years of experience as a Business Analyst, preferably within data, analytics, or AI-driven initiatives.
Strong understanding of data platforms, ETL/data pipelines, data warehousing, AI and BI tools.
Experience collaborating with cross-functional engineering and business teams.
Familiarity with AI/ML concepts, cloud platforms (e.g., AWS), and data & AI governance practices.
Excellent communication, analytical thinking, and stakeholder management skills.
Proficiency in tools such as JIRA, Confluence, Tableau, Snowflake, Collibra, and SQL (for data validation preferred).

Nice To Haves

Prior insurance industry experience is a plus

Responsibilities

Collaborate with business stakeholders to understand goals, challenges, data, and workflow optimization needs related to analytics and AI initiatives.
Translate business objectives into detailed functional and non-functional requirements.
Document current-state and future-state business processes, identifying gaps and opportunities for automation or AI-driven optimization.
Support data governance and data quality initiatives by defining business rules and validation logic.
Partner with data engineers, and analysts to define data requirements and ensure availability of high-quality datasets for AI and analytics use cases.
Define KPIs, metrics, and success measures for analytics and AI solutions.
Support data & model validation and testing processes by aligning technical outputs with business expectations.
Assist in the development of data mapping, dashboards, reports, and visualizations for business insights.
Maintain clear documentation — including requirements, user stories, acceptance criteria, data dictionaries, and workflow diagrams.
Collaborate closely with product managers and technical leads to prioritizing work and managing delivery timelines.
Support PoCs and pilots for new AI and data capabilities, including workflow documentation and impact assessment.
Facilitate meetings, stand-ups, and stakeholder reviews to ensure clarity and alignment.
Identify process improvement opportunities enabled by data or AI technologies.
Support change management and communication for new data/AI solutions across business units.
Stay curious and current with industry trends and best practices in data analytics, AI, and automation.