Business Intelligence Application Developer

Company Description DVK Analytics is a certified Sisense reseller and implementation partner that helps organizations modernize how they build, use, and scale analytics. The company delivers next-generation Sisense solutions by combining expert BI consulting with proprietary products such as advanced plugins, AI-driven features, and enhanced dashboard experiences. DVK Analytics supports enterprises in sectors including Retail, Renewable Energy, Healthcare, and E-commerce, enabling better decision-making and improved operational efficiency. By focusing on scalable data models, impactful dashboards, and AI-powered natural-language insights, DVK Analytics empowers teams to move beyond traditional business intelligence. Applicants can expect to work with innovative analytics technologies and contribute to transforming clients’ data capabilities.
Role Description The Business Intelligence Application Developer is a full-time, remote role responsible for designing, developing, and maintaining BI solutions on the Sisense platform. Day-to-day activities include building and optimizing data models, implementing ETL processes, and configuring data warehousing structures to support robust analytics. The developer will design and refine dashboards and visualizations that provide actionable insights for clients across multiple industries. Responsibilities also include collaborating with stakeholders to understand reporting needs, troubleshooting BI applications, enhancing performance, and integrating new plugins or AI-driven features. The role involves documenting technical solutions, following best practices for data governance, and contributing to continuous improvement of DVK Analytics’ BI offerings.
Qualifications
Strong data modeling skills and experience designing scalable BI data structures.
Hands-on experience with data warehousing concepts and implementation.
Proficiency in Extract Transform Load (ETL) processes and tools.
Ability to design and develop intuitive, high-impact dashboards and visualizations.
Demonstrated analytical skills for interpreting complex data and translating it into business insights.
Experience with Sisense or similar BI platforms (e.g., Power BI, Tableau, Qlik) is highly beneficial.
Working knowledge of SQL and scripting or programming languages commonly used in BI (such as Python or JavaScript).
Understanding of data governance, data quality, and best practices for secure data handling.
Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field, or equivalent practical experience.
Ability to work effectively in a remote environment, manage priorities, and collaborate with cross-functional teams.

Work arrangement
No