More jobs:
Mid-Level Business Intelligence Analyst
Job in
Topeka, Shawnee County, Kansas, 66652, 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
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
Search for further Jobs Here:
×