BI Lead Power BI Tableau

EXL; Gurugram District; On-site; INR 2,800,000 - 4,200,000; Full time

Job summary

EXL in Gurugram is seeking a BI Lead to drive architecture and analytics delivery. You will partner with clients to design scalable data solutions and oversee enterprise reporting.

Responsibilities include building semantic models, optimizing DAX and SQL queries, and implementing governance, CI/CD, and data quality frameworks. The role demands leadership of BI teams and mentoring analysts in a fast-paced environment.

Qualifications

• Experience leading BI architecture and design for enterprise-scale analytics.
• Proficient in Power BI and Tableau development and governance.
• Strong SQL and data warehouse modelling experience.

Responsibilities

• Lead BI architecture and solution design with clients.
• Design and optimise Power BI semantic models and Tableau data sources.
• Write and optimise DAX, M/Power Query, and SQL queries.
• Diagnose data model issues and data quality problems.
• Architect dimensional models and semantic layers.
• Define BI deployment standards, CI/CD, and governance.
• Mentor BI developers and promote best practices.

Skills

Power BI modeling

Advanced DAX

M / Power Query

BI governance

Self-service BI

Tableau data sources

SQL proficient

Dimensional modeling

ETL/ELT understanding

Tools

Tableau

Snowflake

Sigma Computing

Job description

Job Description:

Role: BI Lead (Power BI / Tableau)

Location : Gurugram

Hire Type : FTE

Key Responsibilities

• Lead BI architecture and solution design conversations with clients, acting as the primary technical authority on data and analytics platforms.
• Design, build, and optimise Power BI semantic models and Tableau data sources for enterprise-scale performance and maintainability.
• Write and optimise complex DAX measures, M/Power Query transformations, and SQL queries to support accurate, high-performance reporting.
• Diagnose and resolve data model issues - slow DAX, broken relationships, cardinality problems, and upstream data quality issues - quickly and systematically.
• Architect dimensional data models (star schema, fact/dimension design) and semantic layers consumed across multiple BI tools.
• Drive self-service BI capability: certify datasets, define governed metrics, and build enablement programmes so business teams can explore data independently.
• Define BI deployment standards, CI/CD pipelines, and release governance to ensure reliable and secure analytics delivery.
• Partner with data engineering teams to design analytics-ready data structures and resolve data issues at source.
• Establish data governance frameworks covering data quality standards, metadata management, access controls, and KPI standardisation across business units.
• Mentor BI developers through code and model reviews, sharing DAX, SQL, and design best practices to raise overall team capability.

Must-have Skills

Power BI

• Semantic model design and optimisation: star-schema modelling, reducing cardinality, managing relationships, aggregations, and composite models.
• Advanced DAX: efficient, reusable measures; evaluation context; CALCULATE; iterator functions; time intelligence patterns.
• M / Power Query: advanced transformations, query folding, incremental refresh, parameter-driven pipelines.
• Power BI Service governance: certified datasets, deployment pipelines, workspaces, row-level security, gateways, and refresh scheduling.
• Self-service BI: promoting dataset reuse and enabling business users to build their own reports without IT dependency.

Tableau

• Dashboard and data source design for enterprise-scale reporting.
• Tableau Server / Tableau Cloud governance, published data sources, and performance optimisation.

SQL & Data Architecture

• Strong SQL: complex queries, CTEs, window functions, query optimisation, and reading execution plans.
• Data warehouse and dimensional modelling: fact/dimension design, schema validation, and data lineage.
• ETL/ELT understanding: diagnosing and resolving upstream data issues that affect BI layers.

Communication & Stakeholder Engagement

• Comfortable presenting architecture, data strategy, and roadmaps to client executives and technical leaders.
• Skilled at requirements gathering from non-technical stakeholders and translating them into scalable BI solutions.
• Experience leading architecture reviews, discovery workshops, and solution design sessions.

GOOD TO HAVE

• Snowflake: query optimisation, warehouse sizing, and integrating Snowflake with Power BI or Tableau via DirectQuery or native connectors.
• Sigma Computing: cloud-native self-service analytics on Snowflake; governed metrics, semantic model integration, and business user enablement.
• Experience connecting Sigma Computing with existing Power BI and Tableau ecosystems without creating governance gaps or data duplication.
• Working knowledge of policy lifecycle, claims, underwriting, premiums, loss ratios, and combined ratio.
• Ability to translate insurance business questions into structured KPIs, metrics hierarchies, and dashboard designs.

Requirements: