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 [Manager], [Data Analytics & Reporting]!
In this role, the candidate will be dealing with clients and stakeholders to understand their data analytics requirements and will deliver solutions.
1. Own the entire lifecycle of data analytics projects, including planning, execution, monitoring, control, and closure.
2. Liaisewith clients and internal stakeholders to identify and define project requirements, scope, and objectives, ensuring their needs are met as the project evolves.
3. Collaborate with operations teams to ensure seamless data collection and analysis.
4. Conduct comprehensive data analysis and interpretation to help our clients and internal stakeholders make data-driven decisions.
5. Present complex and detailed reports, clearly articulating findings, insights, and recommendations.
6. Leverage data analytics tools and software to interpret raw data and translate findings into actionable business insights.
7. Coordinate with different teams to implement data analytics solutions that align with client's business needs.
- Design, develop, and maintain complex reports and dashboards using reporting tools - Tableau, Power BI, Alteryx, Adv. Excel, Snowflake).
9. Prepare and publish reports at specified intervals - daily, weekly, monthly, or quarterlyto consistently track and analyze business performance and key metrics over time.
10. Ensure the accuracy and reliability of data used in reports, performing data validation and troubleshooting as needed.
11. Ensure the ongoing upkeep of process documentation and standard operating procedures (SOPs).
12. Ensure strict compliance with data privacy and protection guidelines.
13. Provide timely assistance for ad hoc requests.
Minimum Qualifications / Skills
1. Bachelor's degree or higher, or equivalent experience, in Statistics, Mathematics, Computer Science, Data Science, or a related field.
2. Excellent statistical and mathematical skills.
3. Proven experience in a predictive analytics/data analyst role.
4. Experience in Finance / Invoicing /Collections
5. Proficiency in Python for data manipulation and statistical modeling.
6. Knowledge of Reporting tools - Tableau, Power BI, Alteryx, Snowflake
7. Skilled in Adv. Excel
8. Experience working with project management methodologies.
9. Strong knowledge of data analysis and predictive modeling techniques.
10. Experience working with generative AI.
11. Strong problem-solving abilities.
12. Strong written and verbal communication skills in English.
13. Ability to communicate complex data insights in a clear and actionable manner.
Preferred Qualifications/ Skills
1. Industry Knowledge: Familiarity with the industry in which the organization operates, understanding key business processes.
2. Knowledge of underlying technology – SQL & Database structures.
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.