Business Intelligence Developer

IMA Financial Group•Wichita, KS

17h

About The Position

The Business Intelligence Developer supports the day-to-day operations, quality, and delivery of enterprise data and analytics solutions. This role focuses on operational ownership, stakeholder support, and building foundational skills across the BI and data engineering stack while contributing to a cloud-based analytics platform. The position operates under guidance from senior team members with the expectation of growing into technical development responsibilities over time.

Requirements

0–2 years of relevant experience in data engineering or related fields
Bachelor’s degree in Computer Science, Data Analytics, Engineering, Information Systems, or related field (or equivalent experience)
Foundational knowledge of data engineering concepts and database systems
Functional proficiency in SQL
Functional familiarity with Python
Technical familiarity with cloud platforms (Azure/AWS/GCP)
Functional familiarity with BI tools such as Power BI or Tableau
Functional familiarity with Cloud Data Platforms (Databricks/Big Query/Snowflake)
Familiarity with traditional programming paradigms (OOP/Functional)
Strong analytical, organizational, and problem-solving skills
Effective communicator - comfortable working with both technical teammates and business stakeholders

Nice To Haves

Owns defined operational responsibilities independently while building technical depth
Demonstrates curiosity and a willingness to learn across a broad technology stack
Works under supervision of senior team members with increasing autonomy over time

Responsibilities

Own and manage various support channels (Support Tickets, shared email inbox, MS Teams threads), triaging and routing incoming requests
Maintain recurring operational responsibilities (i.e. report subscriptions, data quality checks, and environment health monitoring)
Automate and/or streamline routine tasks including system maintenance, alerting, and cross-team requests
Independently perform QA testing on development work prior to release
Independently generate release notes and communicate with stakeholders regarding release timelines
Contribute to documentation including data dictionaries and process documentation
Fulfill ad hoc data requests and support lightweight analysis
Monitor solution utilization and evaluate trends over time
Assist in scoping and grooming incoming requests, leveraging AI tooling for research and requirements documentation
Contribute to development across the team's core technical domains: ETL/ELT and Integration solutions, Cloud data warehouse platform, Cloud Infrastructure, Data Quality and Data Governance solutions, Semantic datasets and reporting, DevOps CI/CD solutions