Data Analyst- EXL

The iScale

India

On-site

INR 900,000 - 1,500,000

Full time

8 days ago

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Job summary

The iScale in India is seeking a skilled Business Intelligence engineer to develop data models, build high-quality Power BI dashboards, and deliver analytics to users. This role blends business analysis, low-code data transformation, and traditional engineering skills.

You will work with stakeholders to translate requirements into actionable insight, model data, design dashboards, and build data pipelines to support analytics initiatives.

Qualifications

  • Experience in business analysis and problem solving.
  • Proficiency with Power Query and DAX for data shaping.
  • Strong SQL and data warehousing knowledge.
  • Experience with API integrations.
  • Expertise in Power BI for dashboard design.
  • Experience with Snowflake data warehouse.

Responsibilities

  • Collaborate with stakeholders and data scientists to understand problems and design data solutions that drive business value.
  • Develop and optimize scalable data models for downstream data science and BI use.
  • Design dashboards and use visuals to communicate insights clearly.
  • Build and maintain data pipelines to prepare data for analytics.

Skills

Business analysis / problem solving
Power Query / DAX
Data warehousing / management
SQL
API integrations
Power BI
Snowflake

Tools

Snowflake

Job description

We are looking for a skilled Business Intelligence engineer to develop data models, build high?quality Power BI dashboards, and deliver these analytics to users. This role blends business analysis, low?code data transformation, and traditional engineering skills. The ideal candidate is equally comfortable modeling data in Power BI, writing SQL, and collaborating with stakeholders to translate business requirements into actionable insight.

Responsibilities

Key Responsibilities

  • Business Analysis:Collaborate directly with stakeholders and data scientists to understand problem statements and design data solutions that drive business value.
  • Data Modeling:Develop and optimize scalable data models that translate complex business requirements into clean, well-documented schemas for downstream data science and BI use.
  • Data Visualization:Design dashboards and use visuals to communicate effectively with data.
  • Data Engineering:Build and maintain data pipelines to prepare data for analytics.
Qualifications

Skills/Languages:

  • Business analysis / problem solving
  • Power Query / DAX
  • Data warehousing / management
  • SQL
  • API integrations
  • Power BI
  • Snowflake
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