Data Analyst I

1 day ago

Hyderabad, Telangana, India TechnipFMC Full time ₹ 9,00,000 - ₹ 12,00,000 per year
Job Purpose

Data Analyst plays a crucial lead role in managing and optimizing business intelligence solutions using Power BI.

Job Description
  • Interface with Business Owner, Project Manager, Planning Manager, Resource Managers etc.
  • Execution of complex data analytics projects.
  • Data Modeling and Integration: Develop complex data models, establish relationships, and ensure data integrity. Oversee data integration from various sources.
  • Advanced Analytics: Perform advanced data analysis using DAX (Data Analysis Expressions) and other analytical tools to derive insights and support decision-making.
  • Collaboration: Work closely with stakeholders to gather requirements, define data needs, and ensure the delivery of high-quality BI solutions.
  • Performance Optimization: Optimize solutions for performance, ensuring efficient data processing and report rendering.
  • Data Security: Implement and maintain data security measures, ensuring compliance with data protection regulations.
  • Demonstrated experience of leading complex projects with a team of varied experience levels.
You are meant for this job if:
  • Educational Background: Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
  • Experience in working with unstructured data and data integration.
  • Technical Skills: Proficiency in Power BI, DAX, SQL, and data modeling, exposure to data engineering. Experience with data integration tools and ETL processes.
  • Hands-on experience with Snowflake
  • Experience: 3-5 years of experience in business intelligence and data analytics, with a focus on Power BI.
  • Soft Skills: Strong analytical and problem-solving skills, excellent communication abilities, and the capacity to lead and collaborate with global cross-functional teams.
Skills
Data Modelling Business Process Knowledge Data Mgmt Integration SQL Data Administration Data Analysis Digital Ethics Statistical and Mathematical Analysis Domain Knowledge Business Problem Analysis Digital Literacy Data Architecture Data Engineering Data Preparation Data Platform - Snowflake Data Visualization Interpersonal skills Industry and Domain Knowledge Computer Programming Test Driven Development

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