Data Analyst / Validator

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Data Analyst / Validator to join our team in Bangalore, Karn taka (IN-KA), India (IN).

Job Duties: As a data analyst you will have a strong background in data analysis, an ability to interpret complex datasets, and the skills to provide actionable insights.
Extract, transform, and load (ETL) data from various sources, ensuring data quality, integrity, and accuracy.

Perform data cleansing, validation, and preprocessing to prepare structured and unstructured data for analysis.

Develop and execute queries, scripts, and data manipulation tasks using SQL, Python, or other relevant tools.

Analyze large datasets to identify trends, patterns, and correlations, drawing meaningful conclusions that inform business decisions.

Create clear and concise data visualizations, dashboards, and reports to communicate findings effectively to stakeholders.

Collaborate with clients and cross-functional teams to gather and understand data requirements, translating them into actionable insights.

Work closely with other departments to support their data needs.

Collaborate with Data Scientists and other analysts to support predictive modeling, machine learning, and statistical analysis.

Continuously monitor data quality and proactively identify anomalies or discrepancies, recommending corrective actions

Minimum Skills Required: 3 + years of proficiency in data analysis tools such as [Tools - eg, Excel, SQL, R, Python].
3+ years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects.
2+ years of experience leading a team supporting data related projects to develop end-to-end technical solutions.
Undergraduate or Graduate degree preferred

Preferred Skills:

Strong proficiency in data analysis tools such as [Tools - eg, Excel, SQL, R, Python].
Experience with data visualization tools like [Tools - eg, Tableau, Power BI, Looker].
Experience with cloud data platforms such as [Platforms - eg, AWS Redshift, Google BigQuery, Azure Synapse].
Familiarity with ETL (Extract, Transform, Load) processes and tools.
Knowledge of machine learning techniques and tools.
Experience in a specific industry (eg, financial services, healthcare, manufacturing) can be a plus.
Understanding of data governance and data privacy regulations.
Ability to query and manipulate databases and data warehouses.
Excellent analytical and problem-solving skills.
Strong communication skills with the ability to explain complex data insights to non-technical stakeholders.
Detail-oriented with a commitment to accuracy.