Sr. Business Intelligence Developer

A dynamic and data-driven organization is seeking an experienced Senior Business Intelligence (BI) Developer to help expand and modernize its analytics capabilities. This role is well-suited for someone who enjoys solving complex data challenges, building scalable reporting solutions, and partnering with teams across the business to improve access to insights.

The Senior BI Developer will contribute to data modeling, ELT workflows, dashboard creation, automation, and overall platform optimization. You’ll play a key role in shaping how the organization uses data to guide strategy, improve operations, and enhance decision-making.

Key Responsibilities

Work closely with business partners to understand reporting needs and convert them into technical designs.

Lead BI development efforts and provide guidance to peers on best practices and solution architecture.

Create, refine, and optimize SQL queries, data models, and transformation logic.

Support the development and maintenance of data pipelines using modern cloud-based ELT/ETL frameworks.

Build dashboards and analytical reports using tools such as Looker or other comparable BI platforms.

Monitor data systems for quality, performance, and reliability, resolving issues as they arise.

Assist in enhancing the data warehouse environment and improving data stewardship processes.

Deliver documentation, training, and user support to promote analytics adoption.

Collaborate across departments to turn business objectives into scalable data solutions.

Required Qualifications

Master’s degree in a quantitative or technical field OR 5+ years of BI development experience.

Strong proficiency in SQL, including performance tuning and stored procedure development.

Experience with cloud-based data warehousing technologies (Snowflake or similar).

Working knowledge of ELT processes, data modeling principles, and analytical best practices.

Experience building dashboards in Looker or other modern BI tools.

Strong communication skills and the ability to explain data concepts to both technical and non-technical audiences.

Experience working within Agile teams or using Agile project tools (Jira, Trello, etc.).

Ability to manage multiple initiatives with a proactive and self-directed approach.

Preferred Qualifications

Experience with version control systems such as Git.

Exposure to scripting languages (Python, R) for automation or analytics.

Familiarity with metadata-driven transformation tools (Coalesce or similar).

Experience working with open table formats (e.g., Delta Lake, Apache Iceberg).

Background in large-scale data processing using SnowPark, PySpark, or related technologies.