Manager/Senior Manager

Job Role Manager/Senior Manager - Analytics A

About GeM

Government eMarketplace 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 Honorable 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 utilize 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 nation's interest, aimed at catalyzing excellence in public procurement.

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What is it like to work at GeM?

Opportunity to work with a team of highly passionate professionals from Private and Government sector

• Unbounded space for creativity and innovation.
• Agile and collaborative work environment
• Highly transparent and open work culture
• Work- Life balance
  • Various kinds of health covers (Insurance) for individual and family
• A great opportunity to learn and hone your skills

Compensation: GeM offers competitive salary and other additional benefits

Type of employment: This is a contractual role under Project Management Unit (PMU) of GeM.

Location: This position is based in Delhi

A broad overview of the nature of the role can be garnered from the broad outline of the primary responsibilities shared below:

Key Responsibilities:

• 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.

Professional Experience

• 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.

Educational Qualification

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.

Other preferred 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.