Business Intelligence Developer

About the Company

Responsible for managing and optimizing data systems using Microsoft SQL, Python and BI tools to deliver scalable, automated BI solutions. The role involves designing data models, maintaining reporting infrastructure, and translating business needs into actionable insights. Collaborates with cross-functional teams to support decision-making through efficient data delivery and analysis.

About the Role

A short paragraph summarizing the key role responsibilities.

Responsibilities

• Design, develop, and maintain ETLs, stored procedures, and database objects to support reporting and data analysis.
• Build and manage scalable data solutions across multiple platforms, ensuring data integrity and performance.
• Collaborate with business stakeholders to gather requirements and deliver actionable BI solutions using SQL and Power BI.
• Translate business needs into technical specifications for data warehouse design and reporting automation.
• Monitor and optimize data processes, automation, and reporting cycles to improve efficiency and accuracy.
• Maintain ticketing systems and ensure timely resolution of data-related requests in line with SLAs.
• Support continuous improvement initiatives by analyzing trends, identifying opportunities, and contributing to PSP/DMAIC sessions.
• Participate in agile teams, cross-functional meetings, and change management efforts to ensure smooth data operations.
• Promote BI adoption and knowledge sharing across departments, acting as a strategic liaison between business and data teams.
• Demonstrates strong collaboration skills and readily offers mentorship and support to team members when needed.

Qualifications

• Bachelor’s degree (or in progress) in Computer Science, Data Science, Engineering, or a related technical field.
• Strong proficiency in MS SQL Server (2016+), including SQL Server Data Tools, query optimization, and indexing.
• Solid understanding of data architecture, database management (SQL/NoSQL), and cloud platforms (e.g., AWS, Azure).

Required Skills

• Advanced proficiency in Microsoft SQL Server, SSMS, and Power BI (including DAX).
• Experience with Python for data processing and automation.
• Solid understanding of data modeling (e.g., star/snowflake schema, OLAP) and statistical analysis.
• Strong communication skills and proficiency in English.

Preferred Skills

• Experience with SSIS and SSAS.
• Knowledge of cloud data tools such as Azure Data Factory, Databricks, Google BigQuery, and DevOps.
• Understanding of RPA fundamentals.
• Experience with Visual Basic, Macros, PowerApps, and Flow.

Pay range and compensation package

Pay range or salary or compensation.

Equal Opportunity Statement

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