NatWest Group is hiring for an fresher entry level Data Analyst role in India

Note: The job closed a few hours ago.

 

Position:

• Data & Analytics Analyst

Company:

• NatWest Group

Location:

• Bangalore, India

Job type:

• Permanent

Job mode:

• Full Time, Hybrid (India-based working model)

Job requisition id:

• R-00255555

Years of experience:

• 0 to 3 years

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Company description:

• NatWest Group is one of the UK’s largest banking institutions, focused on transforming the way people experience finance. With over 10,000 employees and global outreach, the group is dedicated to helping communities, businesses, and individuals thrive. Their purpose-led strategy centers around empowering enterprise, enabling learning, and driving climate sustainability.

• They are deeply committed to breaking down barriers to economic participation by focusing on underserved communities and supporting environmentally positive solutions. Their people-first culture fosters learning, growth, and innovation through a digital-forward mindset.

• NatWest promotes inclusive values, offers extensive training, supports professional development, and adopts a climate-conscious approach to operations and services. Their India operations are crucial to global initiatives and strategic implementation across data, technology, and analytics functions.

• The organization stands out for aligning its business goals with societal value, promoting a dynamic work culture, and placing purpose and sustainability at the heart of everything they do.

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Profile overview:

• The Data & Analytics Analyst role is part of NatWest’s Digital X initiative, supporting transformation through data.

• You will work directly with stakeholders to gather requirements, identify analytical solutions, and support business challenges using data.

• The position involves applying statistical techniques and creating insightful visualizations that convert complex datasets into digestible formats.

• Analysts in this team function within multi-disciplinary Agile teams and take end-to-end ownership of data solutions.

• The role emphasizes automation, simplification of processes, and delivering stakeholder value with measurable business impact.

• You will be at the intersection of data engineering, decisioning, and advanced analytics, playing a key role in shaping data-led strategy.

• Analysts are expected to continuously learn, adopt best practices, and be adaptable in an evolving digital ecosystem.

• You'll contribute to key banking processes by offering insights into customer behavior, product performance, and operational effectiveness.

• Ideal for early-career professionals with analytical aptitude and a desire to solve real-world business problems through data.

• The role is suited for individuals passionate about using data for decision-making and business transformation.

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Qualifications:

• Understanding of data architecture concepts, including storage, modeling, and querying

• Familiarity with key tools and platforms such as Snowflake, AWS, Tableau, and data lakes

• Hands-on knowledge of programming and data manipulation languages such as SQL, Python, and SAS

• Solid grasp of data management principles, including data quality, lineage, and governance

• Capability to work with structured and unstructured data from various sources

• Experience or internship in translating business needs into data insights using visualizations

• Knowledge of analytical methods including descriptive and predictive modeling, segmentation, and time series

• Exposure to Agile working practices, team sprints, and cross-functional collaboration

• Strong interpersonal and communication skills, especially in explaining data insights to non-technical audiences

• Ability to self-learn, adapt, and stay current with new analytics trends and technologies

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Additional info:

• This is an associate-level position suitable for freshers and professionals with up to three years of experience

• The position is based in India and requires full-time availability on Indian working days

• Candidates should be motivated by purpose-driven work and interested in contributing to business transformation through data

• You will participate in a hybrid working model where in-office and remote work are combined for flexibility

• There will be opportunities for continuous learning through internal training programs and mentorship

• Candidates will be expected to contribute to strategic decision-making by simplifying and interpreting data outputs

• Strong career progression opportunities within analytics, data engineering, data science, and business strategy domains

• Collaboration with stakeholders across departments including technology, operations, and finance will be essential

• Ideal for candidates looking to work on high-impact projects with a blend of technical and business focus

• Regular interactions with decision-makers and exposure to strategic planning functions make this a high-visibility role

Note: The job closed a few hours ago.

Please click here to apply.