Business Intelligence Developer

Bangalore, Karnataka
Permanent
Full-time

21 hours ago

About the positionThe 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-GK1DEI StatementCybersecurity is a community effort. That’s why we’re committed to building an inclusive, diverse community that celebrates and welcomes everyone – unless they’re a cybercriminal, of course.We’re proud to be an Equal Opportunity and Affirmative Action Employer, and we’d encourage you to join us whatever your background. We particularly welcome applicants from traditionally underrepresented groups.We consider everyone equally: your race, age, religion, sexual orientation, gender identity, ability, marital status, nationality, or any other protected characteristic won’t affect your application.Due to certain obligations to our customers, an offer of employment will be subject to your successful completion of applicable background checks, conducted in accordance with local law.

Mimecast

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