Business Analyst - Data & AI

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 6 Month(s)
Able to Provide Sponsorship

Skills

Amazon Web Services
Analytical Skill
Analytics
Artificial Intelligence
Business Analysis
Business Analytics
Business Intelligence
Business Process
Change Management
Cloud Computing
Collaboration
Communication
Confluence
Continuous Improvement
Dashboard
Data Analysis
Data Governance
Data Mapping
Data Modeling
Data Quality
Data Validation
Data Warehouse
Decision-making
Documentation
Extract
Transform
Load
Functional Analysis
Functional Requirements Document
Insurance
JIRA
KPI
Machine Learning (ML)
Management
Project Implementation
Snow Flake Schema
Tableau
Testing
Use Cases
User Stories

Job Details

Position summary
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.
Key Responsibilities:
Business & Functional Analysis
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.
Data & Analytics Support
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.
Project Execution & Delivery
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.

Continuous Improvement
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.
Required Skills:
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.

Qualifications:
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).
Prior insurance industry experience is a plus

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Everest Technologies