Business Data Analyst
Business Data Analyst $35/hr
Hartford, CT; Chicago, IL; Columbus, OH; and Charlotte, NC -
hybrid3 days a week (Tuesday through Thursday).
6 months+ contract
Manager's call notes:
we are looking for someone who can do various queries in database
Adoptvarious AI functionalities team has built and explain why their data might not be a fit for the purpose they are looking for
Someone who is technically adept - navigating basic queries solo
Must Have Mandatory Skills
We are 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.
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
Helps resolve scope questions and issue
Leverage 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
Hartford, CT; Chicago, IL; Columbus, OH; and Charlotte, NC -
hybrid3 days a week (Tuesday through Thursday).
6 months+ contract
Manager's call notes:
we are looking for someone who can do various queries in database
Adoptvarious AI functionalities team has built and explain why their data might not be a fit for the purpose they are looking for
Someone who is technically adept - navigating basic queries solo
Must Have Mandatory Skills
- No specific tech stack should be able to writea database query and run it
- Some AI experience
- Business Analyst (Data)- Insurance and financial is VERY helpful
- Business Analyst skills are most important
- Snowflake, Toad, Oracle, Python (is helpful but not 100% necessary)
- Snowflake and Oracle and hard requirements
- Issues in the past- Does not want a developer, wants a BA
We are 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.
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
Helps resolve scope questions and issue
Leverage 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
