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EY Recruitment Drive; Hiring Data Analyst – Apply Now


As part of their EY-Assurance Team, plays an integral role in contributing individually and adding value to the complex reporting tasks that help various internal and/or external constituencies develop deeper understanding of their respective markets, functional practices, and other internal clients. At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And they’re counting on your unique voice and perspective to help EY become even better, too. Join them and build an exceptional experience for yourself, and a better working world for all.

Name of the Organization: EY

Requisition ID: 1506160

Positions: Data Analyst: Alteryx

Location: Trivandrum

Salary: As per company Norms

Educational Qualifications:

  • B.E / B. Tech. / M. Tech. / MCA in Computer Science or Information Technology with a techno functional background or accounting graduates / postgraduates having worked in business analytics domain.
  • Self-driven and highly motivated individual with 2+ years of experience
  • Experience in managing multiple concurrent initiatives from multiple regions or clients.
  • A strong track record of successful delivery and benefits realization

Ideally, you’ll also have

  • Interest in business and commerciality.
  • Flexibility to work in different time zones and travel as required.

Soft skills and attributes for success

  • Excellent communication, project management and people skills
  • Problem solving skills with quick learning ability and adaptability to change.
  • Should be open to working in different time zones and travel as required.
  • Should have high standard of integrity and confidentiality.
  • Should be willing to work under tight timelines delivering good quality of work.
  • Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
  • Ability to work within a matrix organization.

Technical skills with hands on experience

  • Alteryx: Hands-on experience with Alteryx Designer, utilizing workflows for data blending, data preparation, and advanced analytics.
  • ETL (Extract, Transform, Load): Proficiency in ETL processes and tools, extracting data from diverse sources, transforming it, and loading it into target systems.
  • SQL: Strong command of SQL for querying, aggregating, and manipulating data from relational databases.
  • Excel: Excellent knowledge of Excel, including advanced formulas, functions, pivot tables, and data visualization techniques.
  • Data Visualization Tools: Hands on with data visualization tools like Power BI, Familiarity with Tableau is a plus.

Job Description:

They’re looking for an incumbent who will be responsible for the review of deliverables and ensuring that quality and productivity targets are met.

Your key responsibilities

  • Data Transformation: Use Alteryx and ETL techniques to extract data from various sources, transform it into a structured format, and load it into databases or data warehouses.
  • Data Analysis: Perform in-depth data analysis to identify trends, patterns, and anomalies, and present findings in a clear and concise manner.
  • SQL Queries: Write and optimize SQL queries to retrieve, manipulate, and analyse data from relational databases.
  • Data Cleansing: Cleanse and pre-process data to ensure accuracy, consistency, and completeness.
  • Data Visualization: Create visually appealing and insightful dashboards and reports using Power BI, presenting data in a meaningful way to stakeholders.
  • Data Quality Assurance: Conduct data quality checks to ensure the accuracy and integrity of data and resolve any discrepancies or issues that may arise.
  • Collaborate with Teams: Work closely with cross-functional teams to understand data requirements, provide data-driven insights, and support decision-making processes.
  • Continuous Improvement: Stay up to date with industry trends, best practices, and new technologies to enhance data analysis capabilities.

 

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