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The Analytics and Data Strategy Head will lead data-driven initiatives and strategies to improve decision-making and operational efficiency within the organization. This role involves managing analytics projects, developing predictive models, and driving insights to optimise business outcomes in the building materials industry.
The HR Strategy & Analytics role requires expertise in human resources operations and strategic decision-making. Based in Mumbai Suburban, the position focuses on leveraging data analytics to drive HR initiatives and optimise workforce management.
We're hiring for a Sr. Business Analyst, with min. 3+ years of experience in confluence, JIRA, and cloud-based data architectures, skilled in stakeholder management and adaptable across BA, DA, and PM roles.
- This role focuses on supporting strategic HR projects with an emphasis on compensation, people analytics and talent management.- It involves analyzing HR data, conducting benchmarking and driving initiatives like org design, job evaluation and workforce planning to support business goals.
The AVP - DWH role in the Financial Services industry focuses on managing and optimizing data warehouse solutions to support analytics and reporting. The position is based in Mumbai Suburban and requires expertise in data management and analytics within the Brokerage domain.
Job Requirements Education* 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*3 - 4 years for Data Scientist* Relevant working experience in a data science/advanced analytics role Behavioural Skills*Delivery Excellence*Business disposition*Social intelligence*Innovation and agility Knowledge* 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.)
Location- Gurgaon
Data Scientist (IT)Position:Data ScientistJob type:Techno-FunctionalPreferred education qualifications:Bachelor/ Master's degree in Statistics, Operation Research, Computer Science, Data Science OR related quantitative fieldJob location:IndiaGeography:SAPMENARequired experience:6-8 YearsPreferred profile/ skills: § 5+ years in developing and implementing forecasting models§ [Mandatory] Proven track record in data analysis (EDA, profiling, sampling), data engineering (wrangling, storage, pipelines, orchestration)§ [Mandatory] Proven expertise in time series analysis, regression analysis, and other statistical modelling techniques§ [Mandatory] Experience in ML algorithms such as ARIMA, Prophet, Random Forests, and Gradient Boosting algorithms (XGBoost, LightGBM, CatBoost)§ [Mandatory] Experience in model explainability with Shapley plot and data drift detection metrics.§ [Mandatory] Strong programming & analysis skills with Python and SQL, including experience with relevant forecasting packages§ [Mandatory] Prior experience on Data Science & ML Engineering on Google Cloud§ [Mandatory] Proficiency in version control systems such as GitHub§ [Mandatory] Strong organizational capabilities; and ability to work in a matrix/ multidisciplinary team§ [Mandatory] Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audience§ Experience in Beauty or Retail/FMCG industry is preferred§ Experience in handling large volume of data (>100 GB)§ Experience in delivering AI-ML projects using Agile methodologies is preferred§ Proven ability to work proactively and independently to address product requirements and design optimal solutionsJob objectives:Design, develop, implement, and maintain data science and machine learning solutions to meet enterprise goals. Collaborate with cross-functional teams to leverage statistical modeling, machine learning, and data mining techniques to improve forecast accuracy and aid strategic decision-making across the organization. Scale the proven AI-ML Product across the SAPMENA region.Job description:§ Deep understanding of business/functional needs, problem statements and objectives/success criteria§ Develop and maintain sophisticated statistical forecasting models, incorporating factors such as seasonality, promotions, media, traffic and other economic indicators§ Collaborate with internal and external stakeholders including business, data scientists & product team to understand the business and product needs and translate them into actionable data-driven solutions§ Review MVP implementations, provide recommendations and ensure Data Science best practices and guidelines are followed§ Evaluate and compare the performance of different forecasting models, recommending optimal approaches for various business scenarios§ Analyze large and complex datasets to identify patterns, insights, and potential risks and opportunities§ Communicate forecasting results and insights to both technical and non-technical audiences through clear visualizations and presentations§ Stay up to date with the latest advancements in forecasting techniques and technologies, continuously seeking opportunities for improvement§ Contribute to the development of a robust data infrastructure for AI-ML solutions, ensuring data quality and accessibility§ Collaborate with other data scientists and engineers to build and deploy scalable AI-ML solutions
The role of a Fraud Strategist involves analysing data to develop strategies that prevent fraudulent activities. This position requires strong analytical skills and expertise in fraud prevention within the Services sector.
The Head of Data Sciences, Analytics and BI will be responsible for leading data-driven decision-making processes and enhancing business intelligence capabilities within the organization. This role requires expertise in analytics and a strong background in managing data science projects in the Transport & Distribution industry
The AD/SM - DE role in the Financial Services industry involves managing data engineering tasks to support investment and asset management analytics. This position is based in Bangalore and requires expertise in analytics and data processes.
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