Job brief
We are seeking a highly analytical Business Intelligence Developer to join our data engineering team and help us mature our enterprise reporting capabilities. You will take ownership of our end-to-end analytics stack, transforming scattered data sources into a unified, source-of-truth environment that empowers leadership to make informed decisions. This is an exciting opportunity to influence our data strategy, implement modern visualization best practices, and work with a sophisticated tech stack in a collaborative environment. If you are passionate about data storytelling and technical problem-solving, we would love to have you on our team.
Key highlights
- Design and optimize efficient ETL/ELT pipelines using tools like dbt, Informatica, or Talend to consolidate data from diverse enterprise source systems.
- Develop interactive, high-performance dashboards and executive reports in Power BI, Tableau, or Looker that provide deep-dive analytical capabilities for business users.
- Architect and maintain scalable data warehouses using cloud-native platforms such as Snowflake, Amazon Redshift, or Google BigQuery to ensure optimal query performance.
- Execute advanced SQL scripting, stored procedures, and complex joins to clean, normalize, and model raw data for consistent reporting and self-service analytics.
What is a Business Intelligence Developer?
A Business Intelligence Developer is a specialized data engineer focused on transforming raw information into actionable business insights through robust data architecture. By designing and maintaining complex ETL (Extract, Transform, Load) pipelines and data warehouses, a Business Intelligence Developer ensures data accuracy and accessibility for organizational stakeholders. These professionals leverage advanced analytical tools and database technologies to create visual dashboards that track Key Performance Indicators (KPIs) and drive strategic business outcomes.
What does a Business Intelligence Developer do?
On a daily basis, a Business Intelligence Developer writes complex SQL queries to extract data, develops semantic layers, and configures visualization tools like Tableau or Power BI to meet stakeholder requirements. They work closely with data architects to refine database schemas and ensure that data models support high-performance reporting. Furthermore, they perform rigorous data validation, troubleshoot automated refresh failures, and document technical specifications to ensure that the entire analytics infrastructure remains reliable, scalable, and secure.
Key responsibilities
- Design and optimize efficient ETL/ELT pipelines using tools like dbt, Informatica, or Talend to consolidate data from diverse enterprise source systems.
- Develop interactive, high-performance dashboards and executive reports in Power BI, Tableau, or Looker that provide deep-dive analytical capabilities for business users.
- Architect and maintain scalable data warehouses using cloud-native platforms such as Snowflake, Amazon Redshift, or Google BigQuery to ensure optimal query performance.
- Execute advanced SQL scripting, stored procedures, and complex joins to clean, normalize, and model raw data for consistent reporting and self-service analytics.
- Collaborate with data scientists and product managers to define data requirements and translate complex business problems into technical reporting solutions.
- Implement robust data governance and security protocols, ensuring that sensitive information is properly masked and access is strictly controlled per organizational standards.
- Perform automated data quality audits to detect and resolve discrepancies in reporting outputs before they reach C-suite and department heads.
- Conduct code reviews for SQL transformations and provide technical mentorship to junior analysts regarding data modeling best practices and performance optimization.
Requirements and skills
- Expert-level proficiency in SQL, including window functions, common table expressions (CTEs), and query performance tuning for massive datasets.
- Proven track record building and deploying production-grade dashboards in BI platforms such as Power BI (DAX/Power Query), Tableau, or Looker.
- Strong experience with cloud data warehousing technologies like Snowflake, AWS Redshift, or Google BigQuery and their associated storage architectures.
- Practical knowledge of Python or R specifically for data manipulation, cleaning, and automating repetitive data preparation tasks.
- Understanding of dimensional modeling concepts, including Star and Snowflake schemas, to design effective reporting layers that prioritize speed and accuracy.
- Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related quantitative field with a strong focus on database management.
- Professional certification such as Microsoft Certified: Power BI Data Analyst or Tableau Desktop Specialist to demonstrate industry-recognized competency.
- Ability to communicate complex technical data architecture decisions clearly to non-technical stakeholders in marketing, finance, and operations teams.
FAQs
What does a Business Intelligence Developer do?
A Business Intelligence Developer is responsible for the full lifecycle of data reporting, from raw data extraction to final dashboard delivery. They build the data pipelines, manage database performance, and translate business requirements into intuitive visual reports. Ultimately, they ensure that the business has a consistent, accurate, and fast view of its performance metrics.
What skills are needed for a Business Intelligence Developer role?
Key skills for a Business Intelligence Developer include advanced SQL development, data modeling (star schemas), and fluency in BI visualization tools like Power BI or Tableau. Proficiency in cloud-based data warehouses like Snowflake or BigQuery is also critical. Additionally, basic programming knowledge in Python is increasingly required for automating data transformation tasks.
Who does a Business Intelligence Developer work with on a team?
They frequently collaborate with data architects, data scientists, and DevOps engineers to build and maintain the technical infrastructure. They also work closely with non-technical business stakeholders, such as department heads and project managers, to gather reporting requirements and ensure the delivered data answers specific business questions.
Why is the Business Intelligence Developer role important for a company?
This role is vital because it bridges the gap between raw data and informed decision-making. By building reliable reporting systems, a Business Intelligence Developer reduces the risk of data-driven errors and helps leadership identify growth opportunities or operational inefficiencies. Their work essentially turns corporate data into a competitive advantage.