NatWest Recruitment Drive; Hiring Data & Analytics Associate – Apply Now

Take on a new challenge in Data & Analytics and help them shape the future of their business. You’ll be helping to manage the analysis of complex data to identify business issues and opportunities, and supporting the delivery of high quality business solutions. They're committed to mapping a career path that works for you, with a focus on helping you build new skills and engage with the latest ideas and technologies in data analytics. They're offering this role at associate level

Name of the Organization: NatWest

Requisition ID: R-00239314

Positions: Data & Analytics Associate

Location: Chennai

Salary: As per company Norms

Required Skills & Qualifications:

You’ll need a background in business analysis tools and techniques, along with the ability to influence through communications tailored to a specific audience. Additionally, you’ll need the ability to use core technical skills.

You’ll also demonstrate:

• Strong analytic and problem solving abilities
• A keen eye for detail in your work

Job Description:

As a Data & Analytics Analyst, you’ll be planning and providing high quality analytical input to support the development and implementation of innovative processes and problem resolution. You’ll be capturing, validating and documenting business and data requirements, making sure they are in line with key strategic principles. They’ll look to you to interrogate, interpret and visualise large volumes of data to identify, support and challenge business opportunities and identify solutions.

You’ll also be:

• Performing data extraction, storage, manipulation, processing and analysis
• Conducting and supporting options analysis, identifying the most appropriate solution
• Helping to maintain full traceability and linkage of business requirements of analytics outputs
• Seeking opportunities to challenge and improve current business processes, ensuring the best result for the customer
• Creating and executing quality assurance at various stages of the project in order to validate the analysis and to ensure data quality, identify data inconsistencies, and resolve as needed

 

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