Sigma Bi Developer

Full Time | Bangalore | India

Industry : Information Technology and Services
Experience8 - 12 years
Compensation1,500,000 - 2,500,000
Openings1

Role Overview

Designation / RoleSigma Analytics Engineer

Key Responsibilities

  • Design, develop, and maintain Sigma Computing dashboards, reports, and visualizations that provide actionable insights to stakeholders.
  • Build and optimize robust data models and semantic layers to support self-service analytics in Sigma.
  • Collaborate with data engineering to model, curate, and validate datasets in cloud data platforms (e.g., Snowflake, BigQuery, Redshift).
  • Author efficient SQL queries, views, and derived tables; implement best practices for query performance and cost control.
  • Implement and enforce naming conventions, documentation, and data governance standards for analytics artifacts.
  • Translate business requirements into measurable metrics and KPIs; create clear, intuitive dashboards and drill-down reports.
  • Test, monitor, and validate report accuracy; perform root cause analysis for data discrepancies.
  • Train and support business users on Sigma self-service capabilities and dashboard consumption.
  • Work with analytics and product teams to prioritize feature requests, enhancements, and roadmap items.

Qualifications

  • Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field, or equivalent practical experience.
  • Proven experience building dashboards and reports in Sigma Computing or similar BI tools.
  • Strong SQL proficiency, including complex joins, window functions, CTEs, and performance optimization.
  • Hands-on experience with cloud data platforms such as Snowflake, Google BigQuery, or Amazon Redshift.
  • Experience with data modeling, dimensional modeling, and building semantic layers for analytics.
  • Familiarity with dbt, ETL/ELT processes, and modern data engineering patterns.
  • Demonstrated ability to collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders.
  • Attention to detail, strong analytical skills, and a commitment to data quality and governance.

Skills

  • Sigma Computing
  • SQL
  • Data Modeling
  • Data Warehousing
  • Snowflake
  • Google BigQuery
  • Amazon Redshift
  • dbt
  • ETL/ELT
  • Data Visualization
  • Dashboard Design
  • BI Reporting
  • Performance Tuning
  • Data Governance
  • API Integration
  • Python
  • Git
  • Metrics and KPI Design
  • Business Stakeholder Collaboration
  • Analytics Documentation
Application

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