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Mid-Level Business Intelligence Analyst
Job in
Lawrence, Douglas County, Kansas, 66045, USA
Listed on 2026-07-20
Listing for:
Jobtailor
Full Time
position Listed on 2026-07-20
Job specializations:
-
IT/Tech
Data Engineering, Data Analyst
Job Description & How to Apply Below
Responsibilities
- Design reusable BI information models, views, dashboards, metrics and reports that meet business needs across supply chain and related functions
- Translate business requirements into technical designs, user stories and acceptance criteria; validate delivered solutions with stakeholders
- Build, optimize and maintain SQL (Redshift/Oracle/Teradata/SQL Server) queries, ETL/data wrangling pipelines and data transformations for reliable reporting
- Produce analytics deliverables (ad-hoc analysis, trend reports, root-cause investigations) to support decision-making
- Prototype and evaluate GenAI/LLM use cases to augment BI workflows (e.g., natural-language querying, automated data summarization, intelligent insights generation, prompt templates for analysts)
- Apply prompt engineering best practices: design, test, and optimize prompts and chains for consistent, accurate outputs; document prompt libraries and guardrails
- Integrate LLM/GenAI capabilities with BI tools or data platforms where appropriate (e.g., Application Programming Interfaces (APIs), wrappers, microservices) in collaboration with engineers and data scientists
- Ensure responsible use of GenAI: implement data privacy, Personally Identifiable Information (PII) handling, output validation, and model risk mitigation practices
- Collaborate with data scientists, Machine Learning (ML) engineers, and platform teams on product ionizing Artificial Intelligence (AI)-enabled features and understanding model performance and limitations
- Develop and deliver stakeholder-facing demos, playbooks, and training materials that show how GenAI augments BI workflows
- Work with cloud data platforms (Google Cloud Platform (GCP) and Amazon Web Services (AWS)) to design, develop, and maintain data products — including data ingestion, storage, transformation, and serving layers
- Build and validate data products on cloud platforms (Big Query, Cloud Storage, Dataflow, AWS S3, Redshift, Glue, etc.) and collaborate with platform/engineering teams on deploying them to production
- Participate in agile delivery: sprint planning, estimation, development, testing and release activities
- Identify opportunities to improve automation, reduce analyst toil, and scale analysis via templated assets and self-service
- 5+ years of experience in Business Intelligence, Analytics, or Data Engineering roles
- Experience with SQL and relational databases (Oracle, Teradata, SQL Server)
- Experience working with cloud platforms (GCP and/or AWS)
- Experience with core data services (storage, ETL/streaming, warehouses, serverless computing)
- Experience building data products on cloud platforms (ingestion, transformation, cataloging, serving)
- Experience with BI/visualization tools such as Tableau and/or Power BI and ability to design scalable dashboards and data models
- Experience with Python and/or R for data preparation, analysis, and/or prototyping
- Experience with data modeling, ETL patterns, data quality practices, and common BI architecture
- Experience with Agile, Dev Ops and release methodologies
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