Role Description: Retail / CPG domain experience is a must have . Quick commerce (optional) Prior experience in using datasets such as - Geo data, share of wallet data, demographic data, geospatial analytics Candidate who has very specifically worked on projects where new stores / outlets were opened using below skill sets. Functional Knowledge Required: Category / Product Analytics (Must have) : Product Assortment Analysis, identifying trends and patterns in category performance, new product launches Geo-Spatial Analytics (Must have): GIS tools (ArcGIS or QGIS), Location-based analysis (spatial matching, trade area analysis), Spatial data visualization Customer Analytics (Good to have): Using Loyalty and Customer data for direct marketing campaigns and campaign measurement Sales Data Analysis (Must have): Analysing sales trends, forecasting performance and identifying key sales drivers Should have strong story telling skills: Ability to explain complex data to non-technical / business teams Skills: Proven experience as a Data Scientist or similar role. Strong knowledge of Data Analysis, Statistics, Machine Learning, Model Evaluation Techniques and Model Interpretation. Proficiency in data science tools and programming languages such as Python, R, Azure Databricks, SQL, etc. Familiarity with supervised and unsupervised learning techniques, deep learning, reinforcement learning, evaluation metrics, feature engineering, model selection and validation, ensemble methods, and explainable AI Power BI, Spotfire or other visualization tools (optional) Years of experience: 5 to 7 years relevant experience in Analytics

Job Description- Designation: R Shiny Developer Desired Skills & Experience : 3- 6 years of professional work experience developing and deploying Shiny web applications Advanced programming skills in R (including experience with the tidy verse suite of packages) Knowledge of web development technologies including JavaScript, JSON, CSS, and HTML. Proficient R debugging skills to reduce code bottle necks, optimize and refactor code base to improve efficiency, clean shiny reactivity and reduce overall memory usage. Proficiency in Python programming. Experience with SQL and data retrieval. Ability to work in a highly collaborative environment as well as the ability to work independently with minimum supervision. Be a champion R Shiny consultant to guide, discuss and implement best web development features to R Shiny applications. Thinking out of the box implementation solutions (Generally, not found on Google Search). Resourcefulness in solving problems and developing solutions. Quick Learning and Implementation attitude. Ability to take ownership of a technical challenge and see it through to a successful conclusion. Excellent written and verbal communication skills. Tremendous passion towards learning is a must. You must be able to merge the art of consulting and the science of Design in visualization. Drive and energy to work hard and achieve success in an entrepreneurial environment. Additional Details- Mandatory Skill set - R Shiny Development Minimum Experience - 3 to 6 years Notice Period - Immediate to 30 Days

MLOps Engineer Must-Have Skills Strong proficiency in Python/PySpark, especially in analytical contexts DevOps and CI/CD expertise with Git proficiency Ability to build and maintain CI/CD pipelines Code refactoring skills and knowledge of software development principles (OOPs, SOLID) Unit testing and exception handling expertise Deep understanding of ML techniques and their applications End-to-end ML lifecycle experience Experience with model deployment and cloud services Model monitoring and drift detection capabilities Knowledge to develop production-ready code implementations Knowledge of unsupervised & unsupervised learning techniques (Regression, Classification, clustering, etc) SQL proficiency Good To Have Skills Experience in the CPG/Retail domain Cloud computing and big data technologies expertise Experience with containerization and deployment of ML models Familiarity with MLOps-specific tools Experience with data visualization and data imputation techniques Background in software development practices and agile methodologies Experience automating model testing and validation processes Soft Skills Strong communication skills to collaborate with data scientists, data engineers, and architects Problem-solving abilities and analytical thinking Attention to detail, especially for audit-ready code Ability to work in cross-functional teams Technical documentation capabilities

Data Analysis: Conduct in-depth data analysis to identify trends, patterns, and opportunities for improvement. Power BI Dashboard Development: Design, develop, and maintain advanced Power BI dashboards and reports, leveraging large and diverse datasets from multiple sources. Should be fluent in writing DAX and doing performance optimisation of dashboards. SQL Coding: Strong expertise in SQL , preferably on Databricks. PySpark knowledge is good to have. Stakeholder Communication: Present findings and recommendations to senior management, creating compelling PowerPoint decks. Domain: Exposure to the Retail/FMCG industry is preferred Data Governance: Implement and manage data governance policies to ensure data security, integrity, and compliance.

Role Description: Retail / CPG domain experience is a must have. Quick commerce (optional) Functional Knowledge Required: Category / Product Analytics (Must have): Product Assortment Analysis, identifying trends and patterns in category performance, new product launches Sales Data Analysis (Must have): Analysing sales trends, forecasting performance and identifying key sales drivers Customer Analytics (Must have): Using Loyalty and Customer data for direct marketing campaigns and campaign measurement Geo-Spatial Analytics (Good to have): GIS tools (ArcGIS or QGIS), Location-based analysis (spatial matching, trade area analysis), Spatial data visualization. Should have strong story telling skills: Ability to explain complex data to non-technical / business teams Skills: Proven experience as a Data Scientist or similar role. Strong knowledge of Data Analysis, Statistics, Machine Learning, Model Evaluation Techniques and Model Interpretation. Proficiency in data science tools and programming languages such as Python , R, Azure Databricks, SQL , etc. Familiarity with supervised and unsupervised learning techniques, deep learning, reinforcement learning, evaluation metrics, feature engineering, model selection and validation, ensemble methods, and explainable AI Power BI, Spotfire or other visualization tools (optional) Years of experience: 5 to 7 years relevant experience in Analytics

Job Title: Power Platform Developer Job Type: Full time Experience Level: 3 to 4 years Job Summary: We are looking for a highly skilled and detail-oriented Power BI and Power Apps Developer with 3 to 4 years of experience to join our growing data and technology team. The ideal candidate will be responsible for designing, developing, and maintaining dashboards, reports, and business applications that support strategic decision-making and business operations. You will collaborate closely with business stakeholders and IT teams to transform data into actionable insights and efficient business applications. Key Responsibilities: Power BI Development: Develop and maintain advanced Power BI dashboards and reports that provide insights into business performance. Write efficient DAX queries for data modeling and analysis. Perform data transformation using Power Query (M Language) . Integrate Power BI with various data sources including SQL Server, Excel, SharePoint, and cloud services. Optimize data models and implement row-level security for scalable and secure solutions. Schedule and automate data refresh and report delivery processes. Collaborate with business users to gather requirements and ensure reports meet business needs. Power Apps Development: Design and develop custom business applications using Power Apps (Canvas and Model-Driven). Create business logic using Power Automate (formerly Microsoft Flow). Connect Power Apps with various connectors such as SharePoint, Dataverse, SQL, Excel, and third-party APIs. Ensure usability, responsiveness, and accessibility of apps across devices. Maintain and enhance existing Power Apps solutions based on feedback and evolving requirements. Implement security roles and permissions within Power Platform applications. Data & Integration: Work with APIs, Azure services, and connectors to integrate data from different platforms . Ensure data governance, compliance, and integrity across applications and reports. Troubleshoot and resolve data-related issues efficiently. Required Skills and Qualifications: Bachelors degree in Computer Science, Information Technology, Data Analytics, or a related field. 4 to 5 years of professional experience with Power BI and Power Apps . Strong knowledge of DAX, Power Query (M), and data modeling techniques . Solid understanding of relational databases, SQL, and cloud-based data solutions ( Azure preferred). Experience with Power Automate for workflow automation. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills to interact with stakeholders. Preferred Skills: Microsoft Certified: Power Platform App Maker Associate or Data Analyst Associate. Experience with Microsoft Dataverse, Azure Logic Apps, or Azure Data Factory. Familiarity with Agile/Scrum development methodology. Exposure to governance and administration of Power Platform environments.

Job Title: Data Scientist (2.5-4.5 Years). Location : Bangalore (India) Job Role: Investigate the feasibility of applying scientific principles and concepts to business problems. Develop new algorithms independently to solve well defined retail problems and improve existing algorithms. Work with product team to implement new modules, maintain and release production pipelines in timely and responsible manner. Develop POCs based on new ideas or technology, popularize new innovations in retail and analytics with internal/external stakeholders. Collaborate with Data Engineering, Advisory and Product team to find scope of improvement and drive right processes. Mandatory Skills: Retail Experience & Business Acumen(Even if its 30-50% of overall experience at least one retail project) Experience in optimization projects or Pulp / Gurobipy / LP. Classic ML Experience One model built in sole capacity end to end Good SQL / Python Hands on experience (PySpark is a plus)

Company: Infiniti Research/Quantzig Analytics Location: Bangalore | Experience: 26 Years Role Summary: We’re seeking a BI Engineer to design, develop, and optimize enterprise-grade Power BI dashboards that support key business decisions. You'll work with data teams and business users to transform data into impactful insights with strong visual storytelling. Key Responsibilities: Build and optimize Power BI dashboards using DAX, Power Query, and effective data models Collaborate with teams to understand KPIs and reporting needs Implement Row-Level Security (RLS) and manage access in Power BI Service Handle report publishing, incremental refresh, and workspace management Use Git/version control for report lifecycle management Deliver interactive visuals, especially for retail KPIs Must-Have Skills: Power BI (Desktop & Service), DAX, Power Query Data Modeling, Performance Tuning, RLS SQL, Git, Power BI Service features Preferred Tools/Tech: Azure Synapse, Excel, SharePoint

Role & responsibilities 3-6 years of experience in Data Engineering Pipeline Ownership and Quality Assurance, with hands-on expertise in building, testing, and maintaining data pipelines. Proficiency with Azure Data Factory (ADF), Azure Databricks (ADB), and PySpark for data pipeline orchestration and processing large-scale datasets. Strong experience in writing SQL queries and performing data validation, data profiling, and schema checks. Experience with big data validation, including schema enforcement, data integrity checks, and automated anomaly detection. Ability to design, develop, and implement automated test cases to monitor and improve data pipeline efficiency. Deep understanding of Medallion Architecture (Raw, Bronze, Silver, Gold) for structured data flow management. Hands-on experience with Apache Airflow for scheduling, monitoring, and managing workflows. Strong knowledge of Python for developing data quality scripts, test automation, and ETL validations. Familiarity with CI/CD pipelines for deploying and automating data engineering workflows. Solid data governance and data security practices within the Azure ecosystem. Additional Requirements: Ownership of data pipelines ensuring end-to-end execution, monitoring, and troubleshooting failures proactively. Strong stakeholder management skills, including follow-ups with business teams across multiple regions to gather requirements, address issues, and optimize processes. Time flexibility to align with global teams for efficient communication and collaboration. Excellent problem-solving skills with the ability to simulate and test edge cases in data processing environments. Strong communication skills to document and articulate pipeline issues, troubleshooting steps, and solutions effectively. Experience with Unity Catalog or willingness to learn. Preferred candidate profile Immediate Joiner's

Job Description: We are looking for a talented and motivated Data Analyst / BI Developer with 3-6 years of experience to join our team. The ideal candidate will have a strong background in SQL, experience with dashboard creation using Tableau, and hands-on knowledge of AWS Redshift and Databricks. A problem-solver with excellent solution-finding abilities and a proactive, independent work ethic is essential. As a key contributor to the team, you will work with various stakeholders to deliver actionable insights, and drive data-driven decision-making within the organization. A strong understanding of US healthcare is a plus. Key Responsibilities: Develop, design, and maintain dashboards and reports using Tableau to support business decision-making. Write and optimize complex SQL queries to extract, manipulate, and analyze data from multiple sources. Collaborate with cross-functional teams to understand business needs and translate them into effective data solutions. Work with AWS Redshift and Databricks for data extraction, transformation, and loading (ETL) processes. Proactively identify and resolve data issues, acting as a solution finder to overcome challenges and drive improvements. Work independently, taking ownership of tasks and ensuring high-quality deliverables within deadlines. Be a strong team player, contributing to team knowledge sharing and fostering a collaborative environment. Apply knowledge of US healthcare systems to help build relevant data solutions and insights. Required Skills & Qualifications: Minimum 3 years of experience in data analysis, business intelligence, or related roles. Strong expertise in SQL for data querying and manipulation. Extensive experience creating dashboards and reports using Tableau . Hands-on experience working with AWS Redshift and Databricks . Proven problem-solving skills with a focus on providing actionable data solutions. Self-motivated and able to work independently, while being a proactive team player. Experience or strong understanding of US healthcare systems and data-related needs. Excellent communication skills with the ability to work across different teams and stakeholders. Desired Skills (Nice to Have): Familiarity with other BI tools or cloud platforms. Experience in healthcare data analysis or healthcare analytics.

R-Shiny Development Leader (7 plus years of experience in R/R-Shiny application development and leadership role with experience in TEAL-based Shiny application) We are seeking an experienced R Package Development Leader to join our global team in the pharmaceutical industry. R remains a cornerstone in statistical and analytical methods and innovation, and we require an experienced R development leader who can help us build, maintain, and improve our R packages and applications. We are seeking an individual who is experienced in working on clinical trial datasets and TEAL-based Shiny applications. Required Skill Set - Strong documented experience in R package and R/Shiny apps development in line with industry best practices around documentation, testing, and modularization Strong working experience with Tidyverse packages and Tidy principle Comfort with SQL databases Knowledge of DevOps, CICD, and GitHub Hands-on working experience with TEAL package based Shiny development . Working experience with CDISC (Clinical Data Standards) data or NCA/Certara Phoenix datasets Teal experience should cover general modules as well as Clinical (Dealing with clinical trial data reporting), and Hermes (For analysing MultiAssayExperiment objects). Experience of widget development Good to have experience in developing reports using TEAL reporter Being able to understand solution architecture and role of involved software components to implement R Shiny apps Working knowledge on back-end integration via APIs (REST, JSON over HTTP, etc.) Experience with collaborative API design flows Experience in debugging, testing, and optimizing Shiny applications and then publishing these to the internal company repository Ability to embed automatic testing into the development cycle Experience of using GitHub for version control, branch/merge/PR strategies for R projects Ability to contribute new ideas and approaches to improve our R packages and applications Inclination to stay up to date with the latest R packages and developments within the pharma industry. Experience in building or working on Pharmaverse applications (eg. admiral, logrx, metacore, metatools, etc.)

Job Description: We are looking for a talented and motivated Data Analyst / BI Developer with 35 years of experience to join our team. The ideal candidate will have a strong background in SQL, experience with dashboard creation using Tableau, and hands-on knowledge of either AWS Redshift (or other AWS cloud data warehouse services) or Databricks . A problem solver with excellent solution-finding abilities and a proactive, independent work ethic is essential. As a key contributor to the team, you will work with various business stakeholders to deliver actionable insights and drive data-driven decision-making within the organization. A strong understanding of the US healthcare ecosystem will be an added advantage. Key Responsibilities: Develop, design, and maintain dashboards and reports using Tableau to support business decision-making. Write and optimize complex SQL queries to extract, manipulate, and analyze data from multiple sources. Collaborate with cross-functional teams to understand business needs and translate them into effective data solutions. Work with AWS Redshift and/or Databricks for data extraction, transformation, and loading (ETL) processes. Proactively identify and resolve data issues, acting as a solution finder to overcome challenges and drive improvements. Work independently, taking ownership of tasks and ensuring high-quality deliverables within deadlines. Be a strong team player, contributing to team knowledge sharing and fostering a collaborative environment. Apply knowledge of US healthcare systems to help build relevant data solutions and insights. Required Skills & Qualifications: Minimum 3 years of experience in data analysis, business intelligence, or related roles. Strong expertise in SQL for data querying and manipulation. Extensive experience creating dashboards and reports using Tableau and Power BI . Hands-on experience working with AWS Redshift and/or Databricks . Proven problem-solving skills with a focus on providing actionable data solutions. Self-motivated and able to work independently, while being a proactive team player. Experience or strong understanding of US healthcare systems and data-related needs will be a plus. Excellent communication skills with the ability to work across different teams and stakeholders. Additional Details: Work Mode: Hybrid Notice Period: Preferably looking for Immediate Joiners Job Location: Cessna Business Park, Kadubeesanahalli, Bangalore Interested candidates can share your updated cv to the below mail ID Contact Person- Pawan Contact No -8951873995 Mail ID - pawanbehera@infinitiresearch.com

Walk-In Drive Network & Server Engineer (AWS & Hybrid) Experience: 2+ Years Date: 5th July 2025 (Saturday) Time: 10:00 AM to 1:00 PM Venue: Infiniti Research, Signet Building, Wing B, Cessna Business Park, Bangalore Key Skills: AWS Networking (VPC, VPN, Direct Connect), EC2, Cloudflare WAF, Terraform/CloudFormation, Linux/Windows Servers, Security & Compliance, L2/L3 Support Responsibilities Include: Designing & maintaining AWS-based network/server infrastructure Hybrid connectivity (on-prem + cloud) Automation, monitoring & security hardening Handling WAF, IAM, backup & recovery, CloudWatch Bring your updated resume and walk in!

Mid-level MMM candidate with 6-8 years overall experience - 6-8 years of experience in Data Science with at least 4 years hands-on experience in Marketing Mix Modelling (having brand equity modelling experience would be beneficial) Experienced in end-to-end MMM solution development - Gathering requirements, Data Processing, EDA, Modelling (both Short Term & Long Term), Optimization etc. Good knowledge of Marketing domain, ATL/BTL marketing and clear understanding of concepts like adstock/carryover, saturation etc. Deep understanding of various algorithms applicable in MMM (additive and multiplicative models, Bayesian Regression etc.) Familiar with open source MMM packages like PyMC, Robyn, Meridian etc. Well versed with optimization techniques and prior experience of solving media budget optimization problems in Python/R Strong coding skills in Python is a must. Ability to develop production level codes with best coding practices. Experience with Git. Must have good stakeholder management skills and independently drive day to day engagements