Manager/Senior Manager - Analytics

Government e-Marketplace; New Delhi; On-site; INR 2,400,000 - 4,000,000; Full time

Job summary

Government eMarketplace (GeM) invites applications for Manager/Senior Manager Analytics to lead and deliver advanced analytics initiatives across the organization, including AI/ML projects, fraud detection, pricing optimization, and predictive insights.

You will own metrics, dashboards, data governance, and collaboration with IT and business units to drive data-driven decisions. Contract is a 5-year PMU engagement in New Delhi, India.

Qualifications

• Minimum 6 years of overall experience with at least 3 years in advanced analytics projects.
• Proficient in Python, R, SAS and SQL.
• Knowledge of machine learning techniques and predictive analytics.
• Experience with data governance and data quality management processes.
• Strong analytical and problem-solving skills with the ability to translate business needs.
• Experience with data mining, cleaning, and preprocessing.
• Experience in handling data warehouse and BI architecture design and development.

Responsibilities

• Implement advanced analytics and AI/ML projects via implementation partner.
• Oversee end-to-end analytics workflow including success metrics, dashboards, and reporting.
• Develop predictive/prescriptive analytics for fraud avoidance, pricing, and demand forecasting.
• Collaborate with IT & MSP teams to align product vision and analytics requirements.
• Build self-detection mechanisms to identify platform malpractice.
• Create dashboards and interactive visualizations for leadership.
• Validate data, dashboards, and models with implementation partner.
• Perform post-deployment impact analysis and ongoing verification.
• Liaise with stakeholders to interpret data to support decisions.

Skills

Python

SQL

R

SAS

ML techniques

Data governance

Data visualization

Education

Graduate degree in Engineering/Technology

Post-graduate degree in Engineering/Technology

Tools

Tableau

Qlik

Job description

Recruitment for the role of Manager/Senior Manager Analytics

About GeM

Government eMarketplace (GeM) is a unified digital platform that facilitates end-to-end procurement of goods and services by various government departments, organizations, and public sector undertakings (PSUs). Our Honourable Prime Ministers concerted efforts to harness the power of digital platforms to achieve Minimum Government, Maximum Governance led to the genesis of GeM in 2016.

GeM provides a paperless, cashless and contactless ecosystem for government buyers to directly purchase products and services from pan-India sellers and service providers through an online platform. GeM covers the entire gamut of procurement process, right from vendor registration and item selection by buyers to receipt of goods and facilitation of timely payments. GeM has envisioned to utilise the agility and speed that come along with a digital platform created with a strategic intent to reinvigorate public procurement systems and bring about a lasting change for the underserved as well as the nation.

Built on the pillars of Efficiency, Transparency and Inclusivity, GeM has emerged as a digital tool in nations interest, aimed at catalyzing excellence in public procurement. To know more about us, please visit- https://gem.gov.in/

You may also follow us on social media platforms like – Twitter, LinkedIn, Koo App, YouTube, Facebook

This is a contractual engagement under the Project Management Unit (PMU) for an initial period of 5 years, extendable based on performance and organizational requirements.

GeM selection committee reserves the right to relax or extend the eligibility criteria and educational qualifications. The crucial date for determining eligibility will be the last date of receipt of applications. No applications shall be entertained under any circumstances after the stipulated date. Incomplete applications without application form shall not be considered. GeM reserves the right to shortlist candidates for interview. Applicants should note that mere fulfilment of minimum eligibility criteria may not ensure consideration for short listing for interview. GeM will not entertain any correspondence on this subject and decisions of GeM will be final in all matters.

JOB SPECIFICATION

ROLE AND RESPONSIBILITY

• Responsible for Implementation of all Advanced Analytics related to AI/ML through Implementation partner.
• Responsible end-to-end product analytics workflow, including formulation of success metrics, creation of dashboards, and reporting across the organization.
• Handle predictive/prescriptive analytics for fraud avoidance, pricing, product recommendation engine, demand forecasting, etc.
• Work with the GeM IT & MSP teams to align the vision for product and predictive/prescriptive analytics, including regular scoping of product/tool requirements as per changing landscape.
• Develop a well-defined self-detection mechanism to identify any malpractice on the platform.
• Develop prediction mechanism to identify risky profiles that should be monitored.
• Build visualizations to communicate data to key decision-makers and preferably familiar with building interactive dashboards.
• Carry out Data Analysis and act as the subject matter expert on operational and business improvement opportunities.
• Identify key data for projects across a variety of data stores and efficiently extract and process it, generating descriptive statistics and extracting insights.
• Validate data, dashboards and models developed by implementation partner to ensure accuracy and quality of the output.
• Post deployment impact analysis, review, random testing, and verification for assigned BI/Analytics modules
• Any other responsibility as assigned by the competent authority from time to time

Key Shared Accountabilities:

• Liaise with internal as well as external stakeholders to identify, propose, and manage the analysis and interpretation of data to support business decisions.

EXPERIENCE REQUIREMENTS

• Minimum 6 years of overall experience, with at least 3 years of experience in running advanced analytics projects such as AI/ML.
• Proficient in one or more programming languages such as Python, R, SAS, and/or SQL.
• Knowledge of machine learning techniques and predictive analytics, including knowledge of statistical modeling and hypothesis testing.
• Experience with data governance and data quality management processes.
• Strong analytical and problem-solving skills with the ability to translate business Experience with machine learning techniques such as regression analysis, decision trees, clustering, and/or neural networks.
• Experience with data mining, cleaning, and preprocessing.
• Experience in handling data warehouse and BI architecture design and development.

EDUCATION REQUIREMENTS

• Essential: Graduate degree in Engineering, technology, or related discipline from a recognized institute.
• Desirable: Post-graduate degree in Engineering, technology, or related discipline from a recognized institute.

GOOD TO HAVE SKILLS

• Excellent leadership skills with the ability to lead and motivate a team of data analysts and data scientists.
• Excellent knowledge of using multiple analytics packages and working with large data sets.
• Capability to work in a fast-paced high growth environment.
• Analytical mind with a problem-solving aptitude.
• Experience with project management methodologies such as Agile and Scrum.
• Well-versed with one of the leading BI and visualizations tools such as Tableau, Qlik, etc