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.

Stay up-to-date with industry trends, emerging technologies, and best practices to enhance analytical techniques.

Assist in the identification and implementation of process improvements to streamline data workflows and analysis.

Basic Qualifications:

3 + years of proficiency in data analysis tools such as [Tools - e.g., 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

Ability to travel at least 25%.

Preferred Skills:

Strong proficiency in data analysis tools such as [Tools - e.g., Excel, SQL, R, Python].

Experience with data visualization tools like [Tools - e.g., Tableau, Power BI, Looker].

Experience with cloud data platforms such as [Platforms - e.g., 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 (e.g., 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.

About NTT DATA

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

NTT DATA is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.

Job Segment: Cloud, Database, SQL, Consulting, Business Intelligence, Technology