Senior Business Analyst / Quality Analyst - Data Analysis

As a Data & AI Consulting Manager at NTT DATA, your role will involve extracting, transforming, and loading data from various sources to ensure data quality and accuracy. You will be responsible for performing data cleansing, validation, and preprocessing to prepare structured and unstructured data for analysis. Additionally, you will develop and execute queries, scripts, and data manipulation tasks using SQL, Python, or other relevant tools. Key Responsibilities: - 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. Qualifications Required: - 3+ years of proficiency in data analysis tools such as 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 Excel, SQL, R, Python. - Experience with data visualization tools like Power BI. - Experience with cloud data platforms such as AWS Redshift, Databricks. - 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 business and technology services leader, serving 75% of the Fortune Global 100. They are committed to accelerating client success and positively impacting society through responsible innovation. NTT DATA offers consulting and Industry solutions that help organizations and society move confidently and sustainably into the digital future. With experts in more than 50 countries, NTT DATA provides access to a robust ecosystem of innovation centers and established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Please note that NTT DATA recruiters will never ask for payment or banking information. For further information or assistance, you can use the contact information provided on their website. NTT DATA is an equal opportunity employer. As a Data & AI Consulting Manager at NTT DATA, your role will involve extracting, transforming, and loading data from various sources to ensure data quality and accuracy. You will be responsible for performing data cleansing, validation, and preprocessing to prepare structured and unstructured data for analysis. Additionally, you will develop and execute queries, scripts, and data manipulation tasks using SQL, Python, or other relevant tools. Key Responsibilities: - 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