Business Intelligence Developer

About the position   The AI Transformation team at Mimecast is an exciting blend of business, data, and technology. Using a high-powered technology stack that includes Tableau, dbt, Cloud Computing platforms and business applications, the team delivers AI powered business solutions that turn data into actionable insight. This individual will be part of a fast-paced, team-centric environment committed to delivering strategic, management and operational insight. We are seeking a skilled Business Intelligence Developer to design, build, and maintain enterprise-scale data products and data sources using platforms like Tableau and Streamlit. The ideal candidate will be a detail-oriented developer with strong technical skills who can translate business requirements into robust analytical solutions. This role requires a mixture of business acumen and technical expertise, along with an ability to build strong partnerships and collaborate to solve problems. Key Responsibilities:   As a Business Intelligence Developer, you will be focused on building AI-powered data products to be used across the enterprise, at scale, while developing visualizations and dashboards to support insights from Mimecast's wide product portfolio. You'll work closely with our business stakeholders, data team and data scientists to create BI solutions that ensure the right information is available and accessible to all stakeholders throughout the organization. You will bridge the gap between business and technology, requiring equal amounts business acumen and technical acumen.The ideal candidate will: Design, develop, and maintain interactive data products and reports in Tableau, Streamlit, and other BI tools Build and optimize data sources, ensuring data integrity and performance at enterprise scale Collaborate with business stakeholders to gather requirements and translate them into technical specifications Develop scalable data product solutions that can accommodate growing user bases and data volumes Implement best practices for data product design, data modeling, and visualization techniques Monitor data product performance and user adoption, making improvements as needed Maintain documentation for data products, data sources, and development processes Troubleshoot and resolve technical issues with existing data products and data connections Support data governance initiatives by ensuring consistent data definitions and calculations across reports Participate in code reviews and maintain version control for BI development projects Stay current with BI tool updates and emerging visualization technologies Provide technical support to end users and assist with data product-related questions Contribute to the development of reusable components and templates for efficiency gains Essential Skills and Experience: Be a result driven and optimistic problem solver Comfort working in a highly agile, intensely iterative environment Self-motivated and self-managing, with strong organizational skills Great communication: Regularly achieve consensus amongst technical and business teams Demonstrated capacity to clearly and concisely communicate complex business activities, technical requirements, and recommendations Demonstrated experience with one or more of the following business subject areas: marketing, finance, sales, product, customer success, customer support, or engineering Highly proficient in SQL. You can interpret and optimize queries for performance, written by other analysts and engineers Strong knowledge of data modeling concepts and dimensional modeling techniques Understanding of data product performance optimization and scalability considerations Experience with version control systems (Git) and development best practices Knowledge of REST APIs and data integration methods Strong analytical and problem-solving skills with attention to detail Ability to work with stakeholders to understand business requirements and translate them into technical solutions Excellent documentation and communication skills Customer service orientation with focus on user experience and satisfactionKnowledge of REST APIs and data integration methods.  Qualifications: 3+ years in the data space as an analyst, engineer, or equivalent 3+ years' experience designing, implementing, operating, and extending enterprise dimensional models 3+ years working with a large-scale data warehouse, preferably in a cloud environment 3+ years of hands-on experience developing data products and reports in Tableau, including advanced calculations, parameters, and complex visualizations Experience with Streamlit or similar Python-based data product frameworks Experience with modern data stack technologies including cloud data warehouses (AWS/Snowflake) and ELT tools 1+ years maintaining a project workstream to identify tasks, milestones, and deliverables Bachelor's degree in Computer Science, Information Systems, Mathematics.LI-GK1