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3 Weeks ago

Consultant-Business Analyst

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Jaipur, Rajasthan, India
Information Technology
Other
Evalueserve

Overview

Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making.

We have 4,500+ talented professionals operating across 45 countries, including India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets such as Colombia, the Middle East, and the rest of Asia-Pacific.

Recognized by Great Place to Work® in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and open culture that prioritizes flexible work-life balance, diverse and inclusive teams, and equal opportunities for all.

Curious to know what it’s like to work at Evalueserve?

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About Data Analytics (DA)

Data Analytics is one of the highest growth practices within Evalueserve, providing you rewarding career opportunities. Established in 2014, the global DA team extends beyond 1000+ (and growing) data science professionals across data engineering, business intelligence, digital marketing, advanced analytics, technology, and product engineering. Our more tenured teammates, some of whom have been with Evalueserve since it started more than 20 years ago, have enjoyed leadership opportunities in different regions of the world across our seven business lines.


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What you will be doing at Evalueserve:
  • Analyze the data and the requirements for the new data
  • Review the existing documents to evaluate if there is any other mapping logic required for the developers
  • Validation of the excel sheets of the current requirements
  • Validation of data in EDW and Cloudera Data Lake
  • Understanding of EWS Indicators
What we're looking for:
  • Lead the planning phase of data engineering projects, defining scope, objectives, timelines, and resource requirements.
  • Broad knowledge of business/function and development life cycle
  • Prior experience in creating source to target mappings and business transformations
  • Possess excellent verbal and written communication skills.

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