Manager â Project Based Analytics
Manager â Project Based Analytics
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Job Description
Ready to build the future with AI
At Genpact we dont just keep up with technologywe set the pace. AI and digital innovation are redefining industries and were leading the charge. Genpacts AI Gigafactory our industry-first accelerator is an example of how were scaling advanced technology solutions to help global enterprises work smarter grow faster and transform at scale. From large-scale models to agentic AI our breakthrough solutions tackle companies most complex challenges.
If you thrive in a fast-moving innovation-driven environment love building and deploying cutting-edge AI solutions and want to push the boundaries of whats possible this is your moment.
Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading ourdeep business knowledge operational excellence and cutting-edge solutions we help companies across industries get ahead and stay by curiosity courage and innovationour teamsimplementdata technology and AItocreate tomorrow to know us onLinkedInXYouTube andFacebook
Manager Project Based Analytics
Job Summary:
As the Manager you will be responsible for providing data-driven insights that identify and diagnose specific execution opportunities in both the field and corporate office. You will have high visibility to Senior Leadership within the org as well as cross-functional interactions with other senior leaders within the greater business. This role requires an excellent collaborator communicator and analyst with extensive hands-on data experience. The successful candidate is a problem solver in a fast-moving and highly diverse environment and will be able to handle multiple projects simultaneously while ensuring accuracy and timeliness are not addition to strong data mining and analytical skills the Analyst must be adept at communicating findings to senior leadership and business stakeholders across the organization in both verbal and presentation formats using KPIs and metrics that are meaningful to the business.
Major Tasks Responsibilities and Key Accountabilities:
Build in-depth knowledge of our Retail Clients strategic priorities and processes as well as constructive relationships with senior leaders in the field and home office operating in an internal consulting capacity to drive improved business outcomes.
Perform value added ad-hoc analysis in support of business leadership and other key stakeholders to include success measurement components.
Mine data using various tools ensuring data validation and integrity and build easily consumable insights & analysis for end user stakeholders.
Analyze vast amounts of operational financial Membership and product level data and make recommendations about improvements and opportunities for increasing sales and profit.
Responsible for preparing analysis as well as communicating findings to senior leadership and business stakeholders across the organization in both verbal and presentation formats using KPIs and metrics that are meaningful to the business.
Take the lead on Business problems to include identifying questions forming hypotheses and determining the best analytical approach getting beyond the facts and delivering insights that inform business decisions and drive improved performance.
Qualifications:
Relevant years of finance analytics or predictive modeling experience within a Retail environment with an understanding of key financial metrics and sales mechanics (gross sales net sales margin waste profit).
BA/BS in Finance Statistics Economics Business or other related quantitative field. MBA or Masters degree with focus on analytics or prior consulting experience preferred.
Expert in various data mining techniques. Hands on experience with complex SQL queries and or other data mining and statistical software knowledge preferred.
Pro-active and self-motivated work style with proven ability to collaborate broadly with flexible positive attitude to get results within a cross-functional team.
Strong strategic analytical and critical thinking skills; strong bias towards data-based decision making with the ability to break down complex problems and formulate plans.
Strong Project Management skills coupled with interpersonal and presentation ability with demonstrated experience in fact-based analysis including the ability to persuasively present insights and recommendations to senior management.
Why join Genpact
Lead AI-first transformation Build and scale AI solutions that redefine industries
Make an impact Drive change for global enterprises and solve business challenges that matter
Accelerate your careerGain hands-on experience world-class training mentorship and AI certifications to advance your skills
Grow with the best Learn from top engineers data scientists and AI experts in a dynamic fast-moving workplace
Committed to ethical AI Work in an environment where governance transparency and security are at the core of everything we build
Thrive in a values-driven culture Our courage curiosity and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
Come join the 140000 coders tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up.
Lets build tomorrow together.
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.
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.
Required Experience:
Manager
Employment Type
Full-Time
