Senior BI Project Manager
Company: DVK Analytics
Location: Location not specified (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-10-02
About this role
Company Description
DVK Analytics is a certified Sisense reseller and implementation partner that helps organizations transform how they build, use, and scale analytics. The company delivers next-generation Sisense solutions by combining expert BI consulting with in-house products such as advanced plugins, AI-driven features, and enhanced dashboard experiences. DVK Analytics serves enterprises across sectors including Retail, Renewable Energy, Healthcare, and E-commerce, supporting modernization of analytics and better decision-making. By designing scalable data models, high-impact dashboards, and AI-powered natural-language insights, the company enables teams to go beyond traditional BI. DVK Analytics is focused on elevating the analytics experience for organizations currently using or planning to use Sisense.
Role Description
The Senior BI Project Manager is a full-time, remote role responsible for leading end-to-end business intelligence projects, with a focus on Sisense implementations and enhancements. This role oversees project scoping, planning, and execution, ensuring deliverables meet client requirements, timelines, and quality standards. Day-to-day tasks include coordinating with stakeholders, defining BI requirements, partnering with technical teams on data warehousing and ETL design, and guiding the development of scalable dashboards and analytics solutions. The Senior BI Project Manager also monitors project risks and dependencies, manages communication and reporting, and drives continuous improvement across BI processes and tools. In addition, this role supports best-practice adoption, mentors team members, and helps shape DVK Analytics’ analytics offerings and methodologies.
Qualifications
- Strong analytical skills, including the ability to interpret complex data, define business requirements, and translate them into BI solutions.
- Experience with data warehousing concepts and architectures, including design, optimization, and int...