Job Title: Omni BI Developer

Experience:
4+ Years

Location:
Pune / Bangalore / Hyderabad / Chennai (Hybrid) Job Summary We are looking for a skilled Omni BI Developer with 4 years of experience designing and delivering business intelligence solutions on the Omni analytics platform. The ideal candidate combines hands-on expertise in Omni dashboard and data model development with a robust foundation in data visualization, analytical thinking, and stakeholder communication. In this role, you will partner with business teams and data engineers to build intuitive, high-impact dashboards and self-service analytics experiences that drive decision-making across the organization. You will own the BI layer end-to-end — from data model design in Omni to governed, production-ready dashboards — while applying best practices in data visualization and analysis. Required Experience
• 4+ years of overall experience in BI development, data analysis, or analytics engineering.
• Minimum 3 years of hands-on experience building dashboards and data models in Omni.
• Experience working with cloud-based data warehouses (Snowflake, BigQuery, Databricks, or Redshift).
• Demonstrated ability to deliver BI solutions end-to-end from requirements to production.
• Experience supporting business stakeholders across multiple functions (finance, marketing, operations, product, etc.).
• Proven ability to handle multiple concurrent projects and prioritize in a fast-paced environment.

Key Responsibilities
Dashboard Development & Delivery
• Design, build, and maintain dashboards and reports in Omni for business stakeholders across functions.
• Translate complex business questions into clear, insightful visualizations and self-service analytics.
• Build reusable, governed data models and topics within Omni to support consistent metric definitions across the org.
• Optimize dashboard performance and ensure reliability of published reports.
• Apply data visualization best practices to make insights accessible to non-technical audiences. Data Modeling & Analysis
• Define and maintain semantic data models in Omni, including relationships, calculated fields, dimensions, and measures.
• Write and optimize SQL queries to support reporting, analysis, and dashboard development.




• Collaborate with data engineers to ensure BI-ready data is available, clean, and correctly structured in the data warehouse.
• Perform exploratory data analysis (EDA) to identify trends, anomalies, and actionable insights.
• Develop and maintain KPI frameworks, metric definitions, and business glossary documentation. Stakeholder Collaboration
• Partner with business owners, product managers, and analysts to gather requirements and translate them into BI solutions.
• Conduct demo sessions and walk-throughs of dashboards with end users.
• Support self-service analytics adoption — training users on Omni and promoting a data-driven culture.
• Manage multiple stakeholder requests, prioritize effectively, and communicate timelines clearly. Governance & Data Quality
• Ensure data accuracy, consistency, and completeness across all dashboards and reports.
• Apply row-level security, access controls, and data governance standards within the BI layer.
• Document data models, field definitions, and dashboard logic for maintainability and knowledge transfer.
• Monitor dashboard usage and iterate based on user feedback and adoption metrics. Required Technical Skills Omni
• Omni dashboard development (3–5 years hands-on)
• Omni data model and topic configuration
• Calculated fields, dimensions, and measures in Omni
• Omni access controls and row-level security
• Omni workbook and embed features
• Dashboard performance tuning in Omni Data Visualization
• Strong command of visualization best practices (chart selection, layout, labeling, color)
• Experience building executive-level and operational dashboards
• Familiarity with design principles for data clarity and storytelling
• Knowledge of accessibility standards in data visualization SQL & Data Warehousing
• Advanced SQL (CTEs, window functions, aggregations, joins)
• Experience with cloud data warehouses — Snowflake, BigQuery, Databricks, or Redshift




• Understanding of dimensional modeling (star schema, snowflake schema)
• Familiarity with dbt or similar data transformation tools (preferred) Data Analysis
• Proficiency in exploratory data analysis and descriptive statistics
• Experience defining and tracking KPIs, metrics, and business performance indicators
• Ability to validate data, trace discrepancies, and ensure analytical accuracy
• Comfortable working with large datasets and cross-functional data sources Programming & Tools
• SQL (Advanced)
• Python or R for data analysis (preferred)
• Git for version control
• Experience with data cataloging or documentation tools (preferred) Preferred Qualifications
• Bachelor's or Master's Degree in Data Science, Statistics, Computer Science, Information Systems, or a related field.
• Omni certification or active Omni community contributions.
• Experience with dbt for data transformation upstream of the BI layer.
• Exposure to data governance and cataloging tools (e.g., Collibra, Atlan, Alation).
• Experience with agile delivery methodologies.
• Familiarity with embedding Omni dashboards in external applications. Nice to Have
• Exposure to other modern BI tools such as Looker, Tableau, Power BI, or Metabase.
• Experience with semantic layer concepts or tools (AtScale, Cube.dev, dbt Semantic Layer).
• Knowledge of data mesh or data product principles.
• Experience with real-time or streaming data visualization.
• Python-based analytics or notebook experience (Jupyter, Hex, Evidence).
• Familiarity with AI/ML output visualization and model monitoring dashboards. Key Competencies
• Data Storytelling & Visualization
• Analytical Thinking & Problem Solving
• Stakeholder Communication
• Attention to Data Accuracy
• Self-Service Analytics Enablement
• Collaboration & Cross-functional Partnering
• Continuous Improvement & Learning
• Time Management & Prioritization Technology Classification Technology Tower: Data & AI Practice Area: Business Intelligence & Analytics Primary Skill: Omni BI Development Secondary

Skills:
SQL, Cloud Data Warehousing (Snowflake / BigQuery / Databricks / Redshift), Data Visualization, Dimensional Modeling, dbt (preferred)

📌 Omni BI Developer (India)
🏢 EXL
📍 India