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Senior Principal Consultant Data Analytics Specialist

4 months ago

bangalore, India Genpact Full time

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.

Inviting applications for the role of Senior Principal Consultant Data Analytics Specialist

We are seeking a highly skilled and experienced Data Analytics Specialist with expertise in Python and PL/SQL to join our team. As a Data Analytics Specialist, you will be responsible for analyzing large datasets, developing data models, and providing actionable insights to support decision-making processes.

Responsibilities

Analyze and interpret complex data sets using Python and PL/SQL to identify patterns, trends, and correlations. Develop and maintain data models, databases, and data integration processes. Collaborate with cross-functional teams to define business requirements and develop data analytics solutions. Design and implement data visualization dashboards and reports to present insights and findings. Develop and maintain data quality standards and procedures to ensure accuracy and reliability of data. Identify opportunities for process improvement and automation to enhance data analytics capabilities. Stay up to date with industry trends and best practices in data analytics and recommend new tools and technologies to enhance data analysis processes.

Qualifications we seek in you

Minimum Qualifications

B.Tech/B.E/ MCA Excellent written and verbal communication skills

Preferred Qualifications/ Skills

Proven experience in data analytics using Python and PL/SQL. Proficiency in SQL and database management systems (DBMS) such as Oracle, MySQL, or Microsoft SQL Server. Strong analytical and problem-solving skills with the ability to analyze complex datasets and derive meaningful insights. Experience in developing data models and data integration processes. Knowledge of data visualization tools such as Tableau, Power BI, or QlikView. Familiarity with statistical analysis techniques and machine learning algorithms is a plus. Excellent communication and collaboration skills to effectively work with cross-functional teams. Attention to detail and ability to work in a fast-paced environment.