Analytics jobs Gurgaon

The purpose of the Data Engineering specialist is to build and unit test code for Projects and Programmes on Azure Cloud Data and Analytics Platform

2 plus year of work experience * Project Management type experience * Relevant working experience in a data analytics role * End to End Program Management & Maintenance Behavioural Skills * Proven experience in analytics * Communication Excellence * Independent worker * Innovation and agility Knowledge * Payment knowledge is preferred * Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.) * Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.) * Microsoft Office applications (MS Excel, etc.)

The Senior Demand Planner Analyst must demonstrate the ability to effectively lead their respective staff in properly plan for shifts in consumer purchasing, while optimizing product inventory levels. Product forecasting will be managed in Relex (inventory planning system), interfacing with Merchants and Vendors for their assigned area of business, ensuring proper planning for item introductions, promotions, item discontinuation, and more.

Job RequirementsEducation

* Bachelor's degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)

* Master's degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.)Relevant Experience

* 5 - 7 years for Data Scientist

* Relevant working experience in a data science/advanced analytics roleBehavioural Skills

* Delivery Excellence

* Business disposition

* Social intelligence

* Innovation and agilityExperience

* Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.)

* Statistical modelling using Analytical tools (R, Python, KNIME, etc.)

* Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference)

* Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference.

* Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.)

* Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.)

* Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.)

* Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools

* Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.)

* Microsoft Office applications (MS Excel, etc.)Roles & Responsibilities

Analytics & Strategy

1. Analyse large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business

2. Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data

3. Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions

4. Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional dataOperational Excellence

1. Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project

2. Structure hypothesis, build thoughtful analyses, develop underlying data models and bring clarity to previously undefined problems

3. Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analysesStakeholder Engagement

1. Working collaboratively across multiple sets of stakeholders - Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables

2. Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats

Position:

ML EngineerJob type:

Techno-FunctionalPreferred education qualifications:

Bachelor/ Master's degree in computer science, Data Science, Machine Learning OR related technical degreeJob location:

IndiaGeography:

SAPMENARequired experience:

6-8 YearsPreferred profile/ skills:

• 5+ years in developing and deploying enterprise-scale ML solutions
• [Mandatory] Proven track record in data analysis (EDA, profiling, sampling), data engineering (wrangling, storage, pipelines, orchestration),
• [Mandatory] Proficiency in Data Science/ML algorithms such as regression, classification, clustering, decision trees, random forest, gradient boosting, recommendation, dimensionality reduction
• [Mandatory] Experience in ML algorithms such as ARIMA, Prophet, Random Forests, and Gradient Boosting algorithms (XGBoost, LightGBM, CatBoost)
• [Mandatory] Prior experience on MLOps with Kubeflow or TFX
• [Mandatory] Experience in model explainability with Shapley plot and data drift detection metrics.
• [Mandatory] Advanced programming skills with Python and SQL
• [Mandatory] Prior experience on building scalable ML pipelines & deploying ML models on Google Cloud
• [Mandatory] Proven expertise in ML pipeline optimization and monitoring the model's performance over time
• [Mandatory] Proficiency in version control systems such as GitHub
• Experience with feature engineering optimization and ML model fine tuning is preferred
• Google Cloud Machine Learning certifications will be a big plus
• Experience in Beauty or Retail/FMCG industry is preferred
• Experience in training with large volume of data (>100 GB)
• Experience in delivering AI-ML projects using Agile methodologies is preferred
• Proven ability to effectively communicate technical concepts and results to technical & business audiences in a comprehensive manner
• Proven ability to work proactively and independently to address product requirements and design optimal solutions
• Fluency in English, strong communication and organizational capabilities; and ability to work in a matrix/ multidisciplinary team

Job objectives:

Design, develop, deploy, and maintain data science and machine learning solutions to meet enterprise goals. Collaborate with product managers, data scientists & analysts to identify innovative & optimal machine learning solutions that leverage data to meet business goals. Contribute to development, rollout and onboarding of data scientists and ML use-cases to enterprise wide MLOps framework. Scale the proven ML use-cases across the SAPMENA region. Be responsible for optimal ML costs.Job description:

• Deep understanding of business/functional needs, problem statements and objectives/success criteria
• Collaborate with internal and external stakeholders including business, data scientists, project and partners teams in translating business and functional needs into ML problem statements and specific deliverables
• Develop best-fit end-to-end ML solutions including but not limited to algorithms, models, pipelines, training, inference, testing, performance tuning, deployments
• Review MVP implementations, provide recommendations and ensure ML best practices and guidelines are followed
• Act as 'Owner' of end-to-end machine learning systems and their scaling
• Translate machine learning algorithms into production-level code with distributed training, custom containers and optimal model serving
• Industrialize end-to-end MLOps life cycle management activities including model registry, pipelines, experiments, feature store, CI-CD-CT-CE with Kubeflow/TFX
• Accountable for creating, monitoring drifts leveraging continuous evaluation tools and optimizing performance and overall costs
• Evaluate, establish guidelines, and lead transformation with emerging technologies and practices for Data Science, ML, MLOps, Data Ops

• Lead and manage the delivery of data projects, ensuring timely execution and quality standards.
• Collaborate with business and technical teams to define project scope, timelines, and milestones.

- Working on AI strategy and Thought Leadership

Data Scientist support team and Global operations. The ideal candidate will be responsible for developing and maintaining dashboards, analysing data patterns, and forecasting business trends to drive data-based decision-making.

This is a pure B2B marketing role wherein the candidate will get a chance to work on various aspects of B2B Marketing. It will involve creating content, finding insights from website and social media analytics and work on aspects of digital marketing for the organisation.

Location- GurgaonExternal Interfaces Internal Interfaces

* Contractor(s) - BPO Partners - Global CoE Data & Analytics team

* Vendors - Digital tools (SAP Ariba, Coupa, etc.)

* Vendors - Supplier Relation Management (SRM)

* Global Procurement GNFR

* Finance, accounting and Legal

* GNFR Stakeholders

* Global CoE - Data & AnalyticsJob Requirements Education

* Bachelor's degree in Supply Chain, Business Administration, Engineering, or a related field.

* MBA or relevant Master's degree preferred.Relevant Experience

* 10+ years of total experience in procurement, with a strong focus on process optimization, tools implementation, and transformation.

* Proven success in leading or supporting largescale S2P initiatives.

* Experience with procurement platforms such as SAP Ariba, Coupa, Oracle, and ERP systems like SAP.Behavioural Skills

* Strong analytical and problem-solving abilities.

* Excellent communication and stakeholder engagement skills.

* Proactive, organized, and adaptable in a fastpaced, global environment.

* Willingness to work flexible hours to collaborate across time zones.

* Strong project management mindset.Knowledge

* Strong understanding of end-to-end procurement processes, with a focus on Sourceto-Pay (S2P) transformation.

* Hands-on knowledge of procurement platforms such as SAP Ariba, Coupa, or other similar tools (e.g., Oracle, Ivalua).

* Experience in integrating procurement systems with ERP platforms such as SAP or Oracle * Familiarity with contract lifecycle management (CLM), supplier management, e-sourcing, and invoice automation.

* Working knowledge of data governance, compliance frameworks, and internal controls in a procurement context.

* Proficiency in Power BI or other business intelligence tools (e.g., Tableau, Qlik, Spotfire) for creating dashboards and data-driven insights.

* Strong command of Microsoft Excel (pivot tables, advanced formulas, data modeling) and PowerPoint for executive reporting.

* Basic understanding of cloud platforms (e.g., Azure, AWS, or GCP) for analytics is a plus. Roles & Responsibilities Analytics (Data & Insights)

* Drive implementation, optimization, and adoption of procurement platforms such as SAP Ariba, Coupa, Oracle (including CLM, e-Sourcing, and invoice automation).

* Collaborate with IT and cross-functional teams for seamless ERP integration.

* Monitor tool adoption and identify opportunities for automation and enhancement. Operational Excellence

* Lead and execute end-to-end procurement transformation initiatives, spanning S2P and P2P workstreams.

* Design and deliver standardized, automated, and scalable procurement processes aligned with global strategy.

* Define and implement procurement transformation roadmaps and process excellence frameworks.Stakeholder Management

* Engage and align with global stakeholders including Procurement, Finance, Legal, IT, and Business Units.

* Act as a change agent for procurement transformation, building awareness and ownership among stakeholders.

* Define KPIs and provide actionable insights to leadership through dashboards and reports.Provide regular updates to stakeholders to simplify and clarify complex concepts, and communicate the output of work to businessData Governance & Quality Assurance

* Use data-driven analysis to identify trends, optimize procurement spend, and enable strategic sourcing.

* Build interactive dashboards (preferably in PowerBI) and ensure high data integrity and governance

Lead market planning and identify growth potentials using modern planning tools, analytics, and demographic insights.

This is a performance marketing role responsible for planning and analyzing ROI-driven digital campaigns across online platforms to drive footfall and sales. The candidate will manage agencies, track ROAS, and work closely with e-commerce and analytics teams to optimize performance.

The Head of Collections for Secured Business is responsible for leading and managing the collections function for secured loan portfolios (such as home loans, auto loans, etc.). This role ensures effective recovery strategies, minimizes delinquency, and maintains regulatory compliance. It involves overseeing collections teams, setting performance targets, managing vendor relationships, and using data analytics to optimize recovery efforts.