# Business Data Analyst

> Weekday AI · Vadodara, India · Full-time · Posted 2026-10-03

**Salary:** INR 500,000–800,000

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟱𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟴𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟱-𝟴 𝗟𝗣𝗔)

Experience: 3+ yrs

Location: Vadodara, Gujarat, India

Job Type: Full-time

We are looking for an experienced **Business Intelligence Engineer** to help build and scale enterprise data and analytics capabilities. The role combines **business intelligence, analytics engineering, data modelling, reporting, and data platform development**, with a strong focus on transforming raw operational data into trusted, analytics-ready datasets and business insights.

The ideal candidate will have strong expertise in **Power BI, SQL, Snowflake, and dbt**, along with a solid understanding of modern data warehousing, semantic modelling, data quality, and governance.

## Requirements

Key Responsibilities

-   Develop and maintain **Power BI semantic models, datasets, dashboards, and reports** for enterprise reporting and analytics.
-   Partner with business stakeholders and data teams to understand reporting requirements and translate business questions into scalable data solutions.
-   Build reusable data products and analytics solutions aligned with business objectives.
-   Develop and maintain **SQL queries, data transformations, and analytics-ready datasets**.
-   Support ELT workflows and data processing pipelines across enterprise data platforms.
-   Develop and maintain **dbt models, transformations, tests, and documentation**.
-   Design dimensional models, star schemas, semantic layers, and data warehouse structures.
-   Work with **Snowflake** to develop, optimise, and maintain analytics-ready data models.
-   Support onboarding and integration of new data sources into the enterprise data platform.
-   Implement data validation, quality checks, reconciliation, monitoring, and troubleshooting processes.
-   Investigate and resolve data discrepancies, reporting issues, and data-quality problems.
-   Contribute to KPI standardisation, metric definitions, metadata management, data lineage, and reporting governance.
-   Optimise Power BI and Snowflake solutions for performance, scalability, usability, and cost efficiency.
-   Collaborate with Data Engineers, Analytics Engineers, Data Analysts, and external technology partners.
-   Identify opportunities to automate manual reporting and data preparation activities.
-   Contribute to source control, deployment, and CI/CD practices for analytics development.
-   Maintain technical documentation and promote consistent enterprise reporting standards.
-   Stay current with emerging capabilities across **Power BI, Snowflake, dbt, cloud data platforms, and modern analytics engineering**.

What Makes You a Great Fit

-   **3–7 years of experience** in Business Intelligence, Analytics Engineering, Data Engineering, or a related discipline.
-   Strong hands-on expertise in **Power BI**, including semantic models, datasets, dashboards, and enterprise reporting.
-   Strong **SQL development** and data transformation skills.
-   Hands-on experience with **Snowflake** or a comparable cloud data warehouse.
-   Practical experience developing and maintaining **dbt models, transformations, testing, and documentation**.
-   Strong understanding of **dimensional modelling, star schemas, data warehousing, and semantic layers**.
-   Experience troubleshooting data-quality, reporting, data pipeline, and performance issues.
-   Familiarity with **Git, Azure DevOps, source control, and modern development workflows**.
-   Understanding of data governance, metadata, lineage, documentation, and enterprise reporting standards.
-   Experience with Azure-based data platforms is an advantage.
-   Familiarity with **Python** for data analysis, automation, or data engineering is preferred.
-   Experience supporting enterprise reporting environments with large user populations is a plus.
-   Knowledge of CI/CD practices for analytics and data development is advantageous.
-   Experience with construction, real estate, manufacturing, or operational analytics will be beneficial.
-   Strong analytical, problem-solving, and attention-to-detail skills.
-   Excellent written and verbal **English communication skills**.
-   Ability to collaborate effectively with technical teams and business stakeholders.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/08E252659B/apply)

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