The Senior Business Intelligence Developer leads the design, development, and delivery of enterprise BI solutions that support strategic business objectives and data-driven decision making. This role manages BI projects from initiation through implementation, collaborates with Data Engineers to optimize data pipelines and ETL processes, and develops complex data models that transform structured and unstructured data into meaningful insights.

Working closely with business stakeholders, Data Governance teams, and technical partners, the Senior BI Developer translates analytical findings into actionable recommendations, ensures compliance with data governance and security standards, and drives continuous improvement of BI platforms and infrastructure. The role also provides technical leadership, mentors team members on BI best practices, and helps shape the organization's Business Intelligence strategy to maximize business value.

This position belongs to a family of jobs with increasing responsibility, competency, and skill level. Actual position title and pay grade will be based on the selected candidates experience and qualifications.

• Leads Business Intelligence projects from initiation to completion.
• Collaborates with Data Engineers to optimize data pipelines and ETL processes.
• Executes data extraction from diverse sources, including structured and unstructured data.
• Collaborates cross-functionally to drive business decisions using Business Intelligence.
• Collaborates with Data Governance teams to ensure data compliance and security.
• Mentors and guides less experienced professionals in Business Intelligence best practices.
• Develops and maintains complex data models to extract meaningful business insights.
• Recommends improvements to existing Business Intelligence infrastructure.
• Interprets data findings and translates them into actionable business strategies.
• Oversees the integration of Business Intelligence tools with other business systems.
• Drives Business Intelligence strategies aligned with the companys business goals.

• Bachelors Degree in Information Technology, related field or equivalent experience.
• 5+ years of relevant Business Intelligence Developer experience required.
• SQL: Proficient in writing table joins, aggregation, indexes, views, and nested queries
• Power BI: Proficient in Power Query transformations, writing measures in DAX, defining STAR schema models, creating user-friendly business visualizations using AI copilots to author and review code, and using Git to version control Power BI code.

• Analytical Thinking - Strong problem-solving skills to identify architectural challenges, analyze requirements, evaluate options, and propose effective solutions.
• Dashboard Reporting  The ability to access information from databases, forms, and other sources, and prepare reports according to requirements.
• Data Analysis  The process of measuring and managing organizational data, identifying methodological best practices, and conducting statistical analyses.
• Data Interpretations  Data interpretation involves analyzing and extracting meaningful insights from raw data, transforming it into a comprehensible and actionable format. It often requires the application of statistical methods, visualization techniques, and domain knowledge to derive informed conclusions and make data-driven decisions.
• Data Mining  Data mining is sorting through data to identify patterns and establish relationships. Data mining parameters include: Association - looking for patterns where one event is connected to another event Sequence or path analysis - looking for patterns where one event leads to another later event Classification - looking for new patterns [May result in a change in the way the data is organized but thats ok] Clustering - finding and visually documenting groups of facts not previously known Forecasting - discovering patterns in data that can lead to reasonable predictions about the future Data mining techniques are used in mathematics, cybernetics, and genetics. Web mining, a type of data mining used in customer relationship management [CRM], takes advantage of the huge amount of information gathered by a Web site to look for patterns in user behavior.
• Data Preparation  Data preparation, data wrangling, also known as data munging, refers to the process of cleaning, structuring, and transforming raw data into a suitable format for analysis or other purposes. It involves tasks such as handling missing values, standardizing formats, and merging datasets to ensure data quality and usability.
• Data Privacy  Ability to understand and implement practices that ensure the protection and confidential handling of personal and sensitive information. This includes knowledge of relevant laws and regulations (such as GDPR or HIPAA), the ability to design and enforce policies that safeguard data, and the skills to manage data access rights and consent protocols.
• Data Quality Management  Strong understanding of data quality dimensions, methodologies, and best practices to establish and maintain data quality standards and processes.
• Data Visualization  Skill in designing and creating compelling visualizations and data stories that effectively communicate insights and facilitate decision-making.
• Predictive Analytics  Augmented Analytics refers to the use of artificial intelligence and machine learning technologies to enhance data preparation, insight generation, and decision-making within analytics processes. It automates data analysis, identifies patterns, and provides natural language processing interfaces to empower non-technical users with actionable insights, making the analytics process more accessible and efficient.
• Structured Query Language (SQL)  SQL (Structured Query Language) is a standardized programming language designed for managing and manipulating relational databases. It enables users to interact with databases by defining, querying, updating, and managing data stored in a relational database management system (RDBMS). SQL allows users to perform various operations such as retrieving data, inserting new records, updating existing records, and deleting records, as well as creating and modifying database structures like tables, indexes, views, and stored procedures.

MINIMUM QUALIFICATIONS:
Bachelors Degree in Information Technology, related field or equivalent experience.
5+ years of relevant BI developer experience.

Location:

Additional locations:

Job Requisition ID:

Location Address:

Education:

Employee Group:

Employee Subgroup: