Data Warehouse & Business Intelligence Developer

As a Data Warehouse & Business Intelligence Developer at Baird & Warner, your key responsibilities include designing and implementing data warehouse architectures, managing ETL processes, developing BI solutions, and ensuring data quality. You'll collaborate with various stakeholders to understand data needs and provide technical solutions, ultimately aiding in effective business decision-making.

To be considered for the Data Warehouse & Business Intelligence Developer role at Baird & Warner, you should have at least 3 years of experience in Data Warehouse or ETL development. A bachelor’s degree in Computer Science or a related field is preferred, along with strong knowledge of ETL tools, data modeling, and proficiency in SQL.

At Baird & Warner, a Data Warehouse & Business Intelligence Developer should be familiar with tools such as SQL Server Integration Services (SSIS), Cognos Analytics, and SSRS. Additionally, knowledge of cloud technologies and data governance best practices will enhance your effectiveness in this role.

Collaboration is essential for a Data Warehouse & Business Intelligence Developer at Baird & Warner. You'll work closely with business stakeholders, analysts, and technical teams to gather requirements and ensure the BI solutions you develop align perfectly with business goals and provide actionable insights.

Baird & Warner emphasizes a supportive culture that fosters professional growth. As a Data Warehouse & Business Intelligence Developer, you will have opportunities to learn new tools and technologies, engage in training sessions, and participate in projects that enhance your skills and career trajectory.

The ETL process, which stands for Extract, Transform, Load, is crucial in data warehousing as it defines how data is gathered from various sources, modified to meet business needs, and loaded into the data warehouse for reporting and analysis. Discussing specific tools you've used, like SSIS, and outlining your approach to managing data integrity would be valuable.

To ensure data quality in BI reports, I implement various strategies including defining data validation rules, conducting regular audits, and involving stakeholders in data assessment. I've found that documenting data sources and transformations enhances transparency and trust in the reporting process.

Performance tuning for ETL processes involves analyzing bottlenecks in data loading and optimizing SQL queries. My approach includes indexing strategies, modifying data transformation logic, and utilizing parallel processing where applicable, ensuring that my workflows are both efficient and scalable.

In my previous roles, I've frequently utilized the Star Schema for data modeling, which simplifies the design of data warehouses while improving query performance. I also ensure that the data models are flexible, allowing for easy adjustments as business requirements evolve over time.

I'm most familiar with Cognos Analytics and SQL Server Reporting Services (SSRS). I have utilized these tools to create impactful dashboards and reports that visualize key business metrics, thus fostering data-driven decision-making among stakeholders.

To prioritize tasks effectively, I assess the urgency and importance of each project, ensuring alignment with business goals. I often breakdown larger projects into smaller tasks and use project management tools like Jira to stay organized and focused.

I once encountered a significant data inconsistency issue due to conflicting data sources. To resolve it, I collaborated with data owners to establish a single source of truth, which involved implementing data governance practices to prevent future discrepancies and enhance data reliability.

I keep up with industry trends in data warehousing and BI by regularly reading relevant blogs, attending webinars, and participating in online forums. Additionally, I actively seek certifications and training programs that allow me to grow my skills within this ever-evolving field.

Communication is vital when interacting with non-technical stakeholders. I focus on clearly explaining technical concepts in layman's terms and utilizing visual aids to help them grasp complex ideas, ensuring we align on objectives and expectations.

I believe my strong background in ETL processes, data modeling, and BI tool implementation, combined with my collaborative nature and problem-solving skills, make me an excellent fit for the Data Warehouse & Business Intelligence Developer role at Baird & Warner. I'm excited about the opportunity to contribute to an organization that values teamwork and innovation.