POD BA/QA Intern Job at NTT DATA (tbd)

Job Description

The POD BA/QA Intern role involves data analysis, ETL processes, and collaboration with various departments to drive data-informed decision-making. Candidates should have a strong background in data analysis tools, including SQL and Python, and experience with data visualization tools. An undergraduate or graduate degree is preferred, along with at least 3 years of relevant experience. The role requires excellent analytical and communication skills, with a focus on data quality and integrity.

Job Responsibility

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
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

Requirements

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%

Nice to have

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

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