Business Intelligence Analyst

Byrider•Carmel, IN

9h•Hybrid

About The Position

We are seeking a talented and motivated Business Intelligence Analyst to join our team. As a Business Intelligence Analyst, you will be responsible for transforming data into actionable insights, helping our organization make informed decisions, and driving business growth. This position reports to the Director, Solutions Engineering and takes technical direction and mentoring from other lead team members.

Requirements

Proficiency in data visualization tools such as Looker, Databricks, or similar visualization tools.
Experience with legacy tools such as SSRS
Strong SQL skills for data retrieval and manipulation
Excellent analytical and problem-solving skills
Ability to communicate complex data findings in a clear and understandable manner
Strong attention to detail and commitment to data accuracy
Ability to work independently and collaboratively in a team
Familiarity with cloud platforms (e.g., AWS, ) and containerization (e.g., Docker, Kubernetes)
Strong teamwork is a must
Resilience and resourcefulness
High energy with self-motivation
Bachelor's degree in Business, Finance, Computer Science, Information Technology, or a related field
1+ years of experience with Business Intelligence and Data Warehousing systems
1+ years of experience with BI dashboard development
1+ years of experience with SQL
Experience with standard tools such as the Atlassian product suite, AWS, and/or Azure DevOps

Nice To Haves

Technology-related certifications a plus

Responsibilities

Reporting and Dashboards: Design, develop, and maintain interactive reports and dashboards using BI tools (e.g., Looker, Databricks) to visualize data and facilitate decision-making
Legacy Support: Create, Maintain Extend and migrate legacy reports using tools such as SSRS to modern platforms such as Looker or Databricks
Data Visualization: Create compelling visualizations that effectively communicate complex data findings to non-technical stakeholders
Data Integration: Work with IT and data engineering teams to access and integrate data from various systems and databases
Documentation: Maintain documentation of data analysis processes, report specifications, and data definitions
Continuous Improvement: Stay current with BI trends and best practices, and make recommendations for process improvements. Support for AI Adoption, Agentic AI, and Data Lake utilization.
Data Requirements Validation: Collaborate with business stakeholders to understand their data and reporting needs, and translate those needs into actionable deliverables