Senior Data Analytics and Visualization Engineer

We are seeking a Senior Data Analytics and Visualization Engineer who is passionate about data and eager to build next-generation visual and analytical solutions. In this role, you will act as a pivotal link between complex raw data and executive decision-making. You will engage with marquee clients across a wide range of diverse sectors—including Finance, Telecom, Media, Insurance, Oil & Gas, Pharma, and more—helping them unlock the true value of their data assets.

This role requires a unique combination of visual design mastery, robust data engineering understanding, and excellent stakeholder-facing communication. Our ideal candidate is not just a BI developer, but a strategic engineer who can design end-to-end analytical data flows, optimize database schemas, leverage Python for advanced data tasks, and establish organizational standards for BI delivery.

Responsibilities

• Advanced Dashboard & Report Development: Design, develop, and deploy highly performant, visually compelling, and intuitive enterprise dashboards and reports (with a primary focus on Power BI, Tableau, or Qlik)
• Requirement Gathering & Stakeholder Management: Actively liaise with Product Owners, business analysts, and corporate client stakeholders. Conduct detailed analysis of business problems, gather requirements, and facilitate interactive demo sessions
• Data Modeling & Profiling: Engineer and implement optimal data models (including Dimensional Modeling, Star, and Snowflake schemas). Conduct thorough data preparation, profiling, and quality validation
• Python Integration & Process Automation: Utilize Python (Pandas, NumPy, and related libraries) to automate data processes, perform advanced statistical profiling, or integrate custom predictive analytics and data science models directly into visual BI dashboards
• Environment Administration & Security: Oversee and manage the reporting environments and workspaces. Define and implement robust security frameworks, including Row-Level Security (RLS) and access governance
• Modern Data Architecture Collaboration: Contribute to high-level architecture discussions. Align BI deliverables with modern data structures (Data Warehouses, Data Lakes, Lakehouses/Delta Lakes, and Datamarts) and staging processes
• QA & Testing Standards: Design and contribute to comprehensive testing methodologies for data products to ensure 100% accuracy, speed, and alignment with industry standards
• Agile & DevOps Principles: Work actively within a modern Agile development environment (SCRUM/Kanban) and champion the adoption of CI/CD principles and BI version control practices

Requirements

• Professional Experience: 5+ years of hands-on experience developing, designing, and maintaining complex BI solutions using tools like Power BI (strongly preferred), Tableau, or Qlik