Senior BI Project Manager

Company: DVK Analytics

Location: Location not specified (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-09-23

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 proprietary products such as advanced plugins, AI-driven features, and enhanced dashboard experiences. DVK Analytics supports enterprises across industries including Retail, Renewable Energy, Healthcare, and E-commerce to modernize analytics and improve decision-making. By focusing on scalable data models, impactful dashboards, and AI-powered natural language insights, the team empowers clients to go beyond traditional BI. Applicants joining DVK Analytics will be part of a specialized, innovation-driven environment centered on elevating the analytics experience.

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-based solutions. This role oversees project planning, scope definition, timelines, and resource allocation while ensuring successful delivery of data warehousing, ETL, and dashboard initiatives. The Senior BI Project Manager collaborates closely with clients to gather requirements, translate business needs into technical specifications, and manage stakeholder expectations. Day-to-day responsibilities include coordinating cross-functional teams, monitoring project risks and issues, driving status reporting, and ensuring adherence to best practices in analytics and data management. The role also involves guiding solution design, promoting data-driven decision-making, and continuously improving project delivery methodologies.

Qualifications

  • Strong Analytical Skills with the ability to translate complex business requirements into BI solutions and actionable insights.
  • Experience with Data Warehousing concepts, including data modeling, data integration, and performance o...

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