Business Data Analyst

Junior Business Data Analyst

Software Guidance & Assistance, Inc., (SGA), is searching for a Junior Business Data Analyst for a contract assignment with one of our premier Insurance clients, working a hybrid schedule in Hartford, CT; Chicago, IL; Columbus, OH; and Charlotte, NC. Our Clients Enterprise Data Office is currently looking for a Business Data Analyst to join the Corporate Data Services team. This role will be focused on providing business and data analysis support for several highly visible, business-critical applications. This role will have a hybrid work schedule, with the expectation of working in an office location (Hartford, CT; Chicago, IL; Columbus, OH; and Charlotte, NC) three days a week (Tuesday through Thursday). In this role, you will be responsible for the following:

• Applies functional knowledge and techniques necessary to draw out data and analytics business requirements completely and accurately from stakeholders. Performs requirements planning, monitoring, and requirements management.
• Independently performs data analysis, data discovery, and data profiling using industry standard querying tools to support business requirements development that are complete, clear, unambiguous, well written, and appropriate to audience.
• Maintains Data mapping documents, and other Data Design artifacts that define business data requirements and transformation rules.
• Act as liaison and advisor/consultant between the business and IT stakeholders.
• Performs and aids functional testing.
• Structure and drive working and informational sessions that promote collaboration, synergy, and achieve desired outcomes.
• Understands the scope of the project and helps resolve scope questions and issues related to own work.
• Handles moderate level root cause analysis of business data issues and provides technical data guidance on issues.
• Leverages AI tools and techniques to streamline daily tasks such as data profiling, anomaly detection, and report generation within the data warehousing lifecycle.
• Design and refine AI prompts to extract insights, automate documentation, and support decision-making across business and technical teams.
• Translate business processes into AI requirements, ensuring that models and tools align with operational goals and stakeholder expectations.
• Collaborate with data engineers and stakeholders to identify opportunities for AI-driven enhancements in ETL workflows, metadata management, and data quality monitoring.

Qualifications:

• Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
• Bachelors degree and 3+ years of experience in business requirements and/or data analysis supporting the Insurance industry.
• Proficient in industry standard querying tools (Snowflake, Toad, Toad for Data Analysts, SQL, SAS, R, Python, Hive, etc).
• Experience designing and refining AI Prompts while translating business processes into AI requirements.
• Experience working on data warehouse or reporting/analytic projects.
• Experience in industry standard querying tool.
• Experience working on Agile projects.
• Strong facilitation, requirements elicitation, and data analysis skills.
• Connected with industry best practices.
• Proven ability to organize and manage multiple priorities in a timeline driven environment.
• Presentation skills.
• Focused on continuous improvements.
• Interpersonal and influencing skills.
• Effectively manages key stakeholders in a matrix environment.

SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work.