Data jobs India

As a Data Analyst within our Data & Analytics Team, you will be a crucial partner to the business. Collaborating closely with our business teams across divisions, you will leverage data to drive strategic decision-making and optimize operational efficiency.

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

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

 Collaborate with solution architect, data engineers, business stakeholders, business analysts, and DQ testers to ensure data management and data governance framework is defined as critical components.
 Design and develop data models using industry-standard modeling techniques and tools.

This role involves managing end-to-end projects in Business Intelligence and Analytics, with a strong focus on technology. It includes collaborating with senior business leaders to prioritize immediate needs, plan future data pipelines and architecture, and oversee MIS and critical requests.

The client is a experienced Data Modeler specialising in scalable data model design for HRIS and IAM systems. The person will translate business needs into robust conceptual, logical and physical models supporting both transactional and analytical use cases. They'll collaborate with cross-functional teams to define data architecture, ensure governance and compliance, and optimize ETL pipelines.

The Operations and Data Excellence Manager is responsible for supporting the business with ownership, accountability and continuous improvement of commercial operations and the functionality of the systems that enable it.

Working in close partnership with the Business Unit Directors and wider Leadership Team, they are responsible for driving excellent commercial practices which enable agreed business strategies.

Lead the design and continuous improvement of Data Science programs, ensuring academic excellence and industry relevance. Manage and mentor faculty, delivered impactful sessions, and represent Hero Vired at conferences and external forums. Further, establish and uphold academic rigor and delivery excellence across diverse learning formats (online, hybrid, live).

• 6+ years of technical writing experience, with a strong focus on platform-as-a-service (PaaS) products or developer-oriented documentation (e.g., Salesforce, ServiceNow).
• Proven experience in creating and managing documentation for complex APIs, SDKs, and developer tools within enterprise environments, particularly for third-party developers.
• Deep understanding of the B2B SaaS landscape, with familiarity in the modern data stack (e.g., Snowflake, Databricks) and experience working within platform as a service ecosystems
• Ability to proactively identify documentation needs based on ongoing engineering projects, rather than waiting for fully developed features.

This role as a India Lead - Data Privacy in the FMCG healthcare industry involves overseeing and managing data privacy compliance for legal operations. The position is based in Mumbai and requires expertise in legal frameworks and data protection regulations.

Job Description: looking for a talented and experienced Senior Data Engineer with a strong expertise in Snowflake to join our team. As a Senior Data Engineer, you will play a critical role in the development and optimisation of data systems, data pipelines, and ensuring seamless data transformations to support business intelligence and data-driven decisions.

The Data and AI Governance Leader, will play an integral role in orchestrating the governance council and ensuring compliance with governance policies in data, analytics, and AI. Their participation will be instrumental in defining a robust Data and AI Governance Framework, codifying organizational and industry policies into standards, procedures and technical controls ensuring effective, ethical, and legal use of Data & AI technologies

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.

elta Lake, and Unity Catalog-all on Azure Cloud. You'll play a critical role in ensuring data security (PII encryption), governance, and cost optimization, while mentoring a talented team of engineers.

• 6+ years of experience in Business Intelligence and data analysis.
• 3+ years of hands-on experience developing solutions using Power BI.
• Expert-level DAX knowledge with proven experience in optimizing complex queries.

This role requires a highly organized and experienced individual to lead and manage complex data-centric programs, incorporating strong change management principles and process analysis capabilities. The Data Program Owner will oversee all aspects of data initiatives, from inception to completion, ensuring projects are delivered on time, within budget, and meet business objectives.

1. Lead AI & data strategy development help clients right from national governments to leading non-profits set AI visions and identify use cases.
2. Build and deploy AI prototypes and digital solutions in areas like climate, health care, education, and financial inclusion.

• 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.

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.

We are looking for a customer-focused & business-oriented Data Scientist who will be responsible for conducting analyses using advanced statistics and data mining techniques to enable better decision-making.

As the Service Delivery Lead - Record to Report (Controllership), you will oversee financial reporting and accounting within Global Finance Operations. You will manage journal entries, reconciliations, trial balance reviews, and month-end close, ensuring accuracy, compliance, and SOX adherence. Additionally, you will handle statutory reporting, R2R project management, KPI reporting, and consolidation across legal entities.

- This role is responsible for accurate and timely execution of key HRIS activities including new hire data entry, compensation updates, managing employee movements and ensuring updated org charts and onboarding documents.

- It also supports global HR operations by maintaining data integrity, generating reports and assisting in system improvements and compliance tracking.

- The job is open to 3 locations (Mumbai, Delhi & Bangalore)

- This role focuses on talent advisory OR rewards consulting, helping clients design effective people strategies using data-driven insights. It involves working across areas like compensation, performance management, organization design etc. for leading businesses.

We are seeking a dedicated Finance/Digital transformation professional to join a leading Technology company based out of Bengaluru. This role will lead the design, deployment, and scaling of digital tools, automation frameworks, and data-driven processes that improve financial accuracy, reporting, controls, and efficiency across the organization.

This is an excellent opportunity lead data-driven decision-making within the manufacturing industry. The role is based in Mumbai and focuses on leveraging business intelligence to enhance accounting and finance operations.

This role involves leading and coordinating cross-functional ESG initiatives within a global pharmaceutical company, including data collection, regulatory reporting, and stakeholder engagement aligned with frameworks like TCFD and SASB. The position offers hands-on experience in ESG project management, sustainability reporting, and international collaboration, with opportunities to contribute to the company's growing ESG agenda and global impact.

The role of Engineering Manager requires expertise in leading technology teams and delivering high-quality software solutions. The position is based in Bangalore and demands a strong understanding of Big Data, AWS and CI/CD pipeline

Looking for a result and data driven Digital Marketing professional who will plan, implement and manage the e-commerce marketing strategy. Develop strong and innovative digital advertising strategies, to drive awareness and conversions from e-commerce partner sites and generate interest in company products and services. Build digital assets for the company and stay up-to-date on latest marketing technologies and e-commerce trends.

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