108 Data Wrangling Jobs - Page 4

Job Responsibilities Develop clear, concise, actionable solutions and recommendations for Client's business needs. • Work with complex data files and develop initial understanding on data files Undertake exploratory data analysis to derive initial findings and create hypothesis Work on problem specific data models Undertake hands on work on data analytics, model development and testing and preparing the data files for visualization platforms Undertake business analysis on the data and provide insights Coordinate with decision makers to translate business questions into a verifiable hypothesis and data models • Work hands-on across various analytics problems and provide thought leadership on problems • Interact with other stakeholders (Data engineers, BI specialists, offsite team, client teams) on daily/weekly basis to gather requirements/ provide updates. Requirements & Qualifications: • 4-7 years of experience of in data science domain working across a variety of industries • Graduation or Post graduation in Statistics, Mathematics, Management etc. • Strong CPG domain knowledge • Have exposure to CPG marketing analytics Trade (ATL/BTL), Digital, Traditional • Ability to think open ended/unstructured problem solving • Good understanding of statistics along with analysis techniques like Correlation, Regression, Hypothesis Testing, Basic Time Series Forecasting etc. • Excellent Data Wrangling – using Excel, Python basics (good to have) • Hands on experience on SQL, Python coding • Strong logical, analytical, and problem-solving skills • Adept at writing reports, making PowerPoint presentations to present findings • Excellent verbal and written communication skills along with experience of client facing roles

Demonstrate quantitative skills and well versed with data wrangling methods. Develop, Review, Validation of Basel/Capital model on risk factors PD, LGD, Credit Portfolio) for retail and wholesale portfolios. Documentation aspect of model development is key as are the skills to present this information to peer review and independent review of model governance committees. Manage Basel Modelling, PD, LGD Model Development Develop / validate risk measurement models for credit risk management, incl. models for credit rating and scorecards. Collate, test and check independently sourced economics data (forecast and stress) and assess its robustness and fitness for purpose of model development. Demonstrate Credit Risk Model Development. Ensure adequate documentation and analysis in place for model review committee which involves peer review and independent review committees Prepare effective material for dissemination to key business stakeholders at all levels of seniority and obtain approval by the clients Support ad-hoc requests in support of the business as necessary Ensure timelines around project deliverable are met and all the stake holders are informed about the status of the projects Drive standardization of analysis and processes to gain efficiency If you thrive in a dynamic, collaborative workplace, IBM provides an environment where you will be challenged and inspired every single day. And if you relish the freedom to bring creative, thoughtful solutions to the table, there's no limit to what you can accomplish here. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Graduate or postgraduate with a minimum of6+ years of experience in theFinance domain Proven Mathematician/Statisticianor quantitative background with knowledge of economic and econometric models (at least master's degree). Working knowledge SAS / Python and R. Exposure to Basel Modelling, PD, LGD Model Development and Validation, economic capital modelling, from any Competitoror bank / with Risk Management experience in the wholesale and retail area. Proven communication skills with technical (the team) and non-technical (senior entity management around the globe) counterparts. Proficient in high customer orientation and conflict management Working knowledge of credit risk or Basel/capital model development Ability to convert business needs into modelling needs

48 years of relevant experience in marketing claims review, administration, or product data management. Strong analytical skills with attention to detail. Proficiency in managing data within product information systems (PIM, ERP, or other relevant tools). Familiarity with marketing compliance standards and regulatory requirements. Excellent communication and collaboration skills. Ability to multitask and thrive in a fast-paced environment. Marketing Claims Analyst/Admin: Review and validate marketing claims for accuracy, compliance, and regulatory alignment. Collaborate with legal, compliance, and marketing teams to ensure claims meet industry standards. Maintain documentation and audit records related to marketing claims. Support administrative tasks, including data entry, reporting, and tracking claim approvals. Assist in updating marketing content across various platforms based on validated claims.

Key Responsibilities Design, develop, and deploy machine learning and deep learning models for real-world applications Optimize and fine-tune AI models for performance, scalability, and efficiency Work with large datasets, including data preprocessing, feature engineering, and model training Implement NLP, computer vision, reinforcement learning, or generative AI solutions based on business needs Collaborate with data engineers to build scalable ML pipelines and integrate AI models into production systems Stay updated with the latest advancements in AI/ML research and apply them to solve business challenges Conduct A/B testing, model validation, and performance monitoring to ensure robustness Work with cloud platforms (AWS, GCP, Azure) and AI/ML tools (TensorFlow, PyTorch, Hugging Face, LangChain, etc.) Mentor junior engineers and contribute to technical decision-making Skills & Requirements Must Have Skills Python programming and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) Deep learning architectures (CNNs, RNNs, Transformers, GANs) Generative AI (Diffusion models, LLM fine-tuning, RAG) NLP (BERT, GPT, LLMs) or Computer Vision (OpenCV, YOLO) Good To Have Skills Reinforcement learning or autonomous systems Edge AI or embedded ML deployments Big data technologies (Spark, Hadoop, SQL/NoSQL databases) CI/CD pipelines and version control (Git) MLOps tools (MLflow, Kubeflow, Docker, Kubernetes) Cloud-based AI services (AWS SageMaker, GCP Vertex AI, Azure ML) Soft Skills Problem-solving skills Ability to translate business needs into AI solutions Mentorship capabilities Job application: https://app.fabrichq.ai/jobs/f29e2342-c5c2-488a-93ca-bd0bbb62d369

Specialist IS Bus Sys Analyst What you will do Let’s do this. Let’s change the world. In this vital role you will serve as a Business Systems Analyst supporting data analytics and visualization efforts across Amgen’s Global Procurement Operations . You will work with Product Owners, Data Engineers, and Business SMEs to deliver reporting and dashboards that unlock insights across Source-to-Settle processes. This role is critical to building Amgen’s analytics foundation for procurement transformation. . Roles & Responsibilities: Gather and document business reporting and analytics requirements across product teams. Design and build dashboards in tools such as Tableau, Power BI, or SAP Analytics Cloud. Translate procurement KPIs into actionable visualizations aligned with product team priorities. Collaborate with EDF and source system teams (SAP, Ariba, Apex, LevelPath) to define and access data sources. Perform data validation and user acceptance testing for new dashboards and enhancements. Enable self-service analytics capabilities for business users. Ensure compliance with Amgen’s data governance and visualization standards. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master’s degree and 4 to 6 years of relevant experience OR Bachelor’s degree and 6 to 8 years of relevant experience OR Diploma and 10 to 12 years of professional experience. Preferred Qualifications: Must-Have Skills: Hands-on experience with Tableau, Power BI, or similar tools. Solid understanding of procurement data and Source-to-Settle processes. Ability to partner with cross-functional stakeholders to define KPIs and reporting needs. Good-to-Have Skills: Familiarity with data lake/data warehouse concepts (EDF preferred). Basic SQL or data wrangling skills to support ETL processes. Professional Certifications (Preferred): Tableau or Power BI certification; Agile certifications are a plus. Soft Skills: Exceptional communication and stakeholder management skills. Ability to collaborate across global teams and influence outcomes. Strong organizational skills to manage multiple priorities. Team-oriented and focused on delivering high-value solutions. Self-starter with a proactive approach to resolving challenges and driving innovation. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Specialist IS Bus Sys Analyst What you will do Let’s do this. Let’s change the world. In this vital role you will serve as a Business Systems Analyst supporting data analytics and visualization efforts across Amgen’s Global Procurement Operations . You will work with Product Owners, Data Engineers, and Business SMEs to deliver reporting and dashboards that unlock insights across Source-to-Settle processes. This role is critical to building Amgen’s analytics foundation for procurement transformation. . Roles & Responsibilities: Gather and document business reporting and analytics requirements across product teams. Design and build dashboards in tools such as Tableau, Power BI, or SAP Analytics Cloud. Translate procurement KPIs into actionable visualizations aligned with product team priorities. Collaborate with EDF and source system teams (SAP, Ariba, Apex, LevelPath) to define and access data sources. Perform data validation and user acceptance testing for new dashboards and enhancements. Enable self-service analytics capabilities for business users. Ensure compliance with Amgen’s data governance and visualization standards. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications. Basic Qualifications: Master’s degree and 4 to 6 years of relevant experience OR Bachelor’s degree and 6 to 8 years of relevant experience OR Diploma and 10 to 12 years of professional experience. Preferred Qualifications: Must-Have Skills: Hands-on experience with Tableau, Power BI, or similar tools. Solid understanding of procurement data and Source-to-Settle processes. Ability to partner with cross-functional stakeholders to define KPIs and reporting needs. Good-to-Have Skills: Familiarity with data lake/data warehouse concepts (EDF preferred). Basic SQL or data wrangling skills to support ETL processes. Professional Certifications (Preferred): Tableau or Power BI certification; Agile certifications are a plus. Soft Skills: Exceptional communication and stakeholder management skills. Ability to collaborate across global teams and influence outcomes. Strong organizational skills to manage multiple priorities. Team-oriented and focused on delivering high-value solutions. Self-starter with a proactive approach to resolving challenges and driving innovation. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

What lands you in this role Prepare and transform datasets through thorough data wrangling, cleansing, and preprocessing to enable high-quality analysis. Build and maintain efficient data ingestion pipelines to seamlessly integrate data from multiple sources. Conduct deep exploratory data analysis (EDA) to identify trends, patterns, and actionable insights. Leverage Python and SQL extensively for data manipulation, querying, and deploying analytical models. Use Excel and BI tools (Tableau, Power BI etc) for dashboards and data analysis. Translate complex model outputs into clear, actionable insights for both technical and business stakeholders. Partner closely with data engineers, analysts, and business teams to embed analytical solutions into existing workflows. Contribute to the development and optimization of statistical models and machine learning algorithms for targeted business problems. Support the design and validation of forecasting models to anticipate future business outcomes. Keep abreast of emerging techniques and innovations in data science, machine learning, and statistical modeling. Required Skills & Qualifications: 3 to 6 years of experience in Business Analysis, statistics, Data cleaning and transformation and related fields. Good proficiency in statistical modeling and hypothesis testing. Hands-on experience with Python (NumPy, Pandas, Scikit-learn, etc.). Advanced SQL skills for querying and manipulating large datasets. Experience in Excel and creating Dashboards is a plus. Experience in data wrangling, preprocessing, and feature engineering. Knowledge of data ingestion techniques and pipeline development. Ability to interpret predictive models, classification, regression, and clustering algorithms. Strong analytical and problem-solving skills with a keen eye for detail. Excellent communication and storytelling skills to present insights effectively.

Job Title: Industry Function AI Decision Science Consultant- SC Global Network Management Level: 9- Consultant Location: Primary - Bengaluru, Secondary - Gurugram Must-Have Skills: Data Science, AI, ML, Experience with cloud platforms such as AWS, Azure, or Google Cloud, Hands-on experience in programming languages like Python, R, PySpark, and SQL Good-to-Have Skills: Deep Learning Techniques (e.g. RNN, CNN), Visualization tools like Power BI and Tableau, Exposure to tools like ChatGPT, Llama 2, Hugging Face, etc. Job Summary : As an Industry Function AI Decision Science Consultant, you will leverage your expertise in data science and Consumer Goods domain knowledge to design and deliver AI-driven solutions. Your role will include strategic analysis, project delivery, solution development, and technical execution to empower businesses with actionable insights and enable automated and augmented decision-making. Roles Responsibilities: Conduct strategic analysis of the AI, analytics, and data maturity landscape for clients in the Consumer Goods domain Lead data science engagements, manage delivery teams, and build innovative AI capabilities Develop and implement advanced analytics solutions tailored to client requirements Utilize languages like Python, PySpark, R, and SQL for data wrangling and machine learning model development Leverage cloud technologies (Azure, AWS, GCP) to integrate and implement AI solutions Translate complex data into compelling narratives for effective data storytelling Mentor junior team members and contribute to thought leadership Professional Technical Skills: Proficiency in Python, R, PySpark, and SQL Strong knowledge of traditional statistical methods, machine learning techniques, and deep learning Hands-on experience in Consumer Goods Services domain Cloud integration skills with platforms like AWS, Azure, or Google Cloud Experience with optimization techniques (exact and evolutionary) Certifications like AWS Certified Data Analytics Specialty or Google Professional Data Engineer Familiarity with visualization tools like Tableau and Power BI Exposure to large language models (e.g., ChatGPT, Llama 2) Familiarity with version control systems like Git. Additional Information: The ideal candidate will have a strong educational background in data science, computer science, or a related field, along with a proven track record of delivering impactful AI-driven solutions in the Consumer Goods industry. About Our Company | Qualifications Experience: Minimum 4-8 years of hands-on experience in data science with a focus on the Consumer Goods industry Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or equivalent degree with Data Science specialization (from a premier institute)

Job Overview Do you have a passion for technology and storytelling? Then, you would be the perfect fit as our next Technology Content Contributor! The Technology Content Contributor design and author content in terms of video based courses and interactive lessons. The Content contributor collaborates with Technology Content strategist to craft learning outcomes and build a compelling learner experience. Job Responsibilities Create and maintain a high-level plan for web-based or live training on a variety of technologies, including one or more of the following: AI/ML, DevOps, software development, cloud, security, data, networking and related technologies Create effective learning experience based on the learning plans that will achieve an ultimate end goal for the learner Design and review instructional content in addition to assessment questions. Conduct on-going research and development on specific discipline areas and utilize this information to enhance the learner’s learning experience. Skills Required Proficient in programming languages such as Python, R and Java Understanding of Machine Learning(ML) and deep learning (DL) Expertise in Data Management and processing, techniques of data wrangling, preprocessing, understanding of big data tools such as Hadoop or Apache Spark Strong Analytical and Mathematical skills. Strong time management and organizational skills; attention to detail and initiative Professional experience with technical or academic writing, particularly in a digital format

The Data Manager will Have a strong command over data wrangling and data story telling. Address and solve data quality issues either automated update or manually update information into KYC s sources systems or uplift the data into designated platforms. Source data from a variety of sources like core banking systems to combine, synthesise and analyse to improve data quality. Collaborate with stakeholders, SMEs to ensure that the in-scope issues are accurately rectified and meets business requirements. Good Knowledge and experience with tools for data analysis & data remediation (e.g. excel, KYC platforms, reporting tools Power BI, KNIME) Continuous Improvement & Change Understands, accepts and supports the need for change and adapts own behaviours to changing circumstances and provides input to change projects Problem Solving - Comprehensive understanding of a range of problem solving techniques Understanding depth & breadth of data - Some capabilities to source, join and derive insights from disparate data sources across several domain

Project Role : Data Insights & Visualization Practition Project Role Description : Create interactive interfaces that enable humans to understand, interpret, and communicate complex data and insights. Wrangle, analyze, and prepare data to ensure delivery of relevant, consistent, timely, and actionable insights. Leverage modern business intelligence, storytelling, and web-based visualization tools to create interactive dashboards, reports and emerging VIS/BI artifacts. Use and customize (Gen)AI and AI-powered VIS/BI capabilities to enable a dialog with data. Must have skills : Data Analytics Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Enterprise data analyst , your typical day involves creating interactive interfaces that facilitate the understanding and communication of complex data and insights. You will engage in data wrangling, analysis, and preparation to ensure the delivery of relevant, consistent, timely, and actionable insights. Your role will also include leveraging modern business intelligence and storytelling techniques, along with web-based visualization tools, to develop interactive dashboards and reports. Additionally, you will utilize and customize generative artificial intelligence and AI-powered visualization capabilities to foster a dialog with data, enhancing the overall data experience for users. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate training sessions to enhance team members' understanding of data visualization tools and techniques.- Continuously evaluate and improve existing data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Analytics.- Good To Have Skills: Experience with data visualization tools such as Tableau or Power BI.- Strong understanding of data wrangling techniques to prepare data for analysis.- Experience in developing interactive dashboards and reports that communicate insights effectively.- Familiarity with generative artificial intelligence and its applications in data visualization. Additional Information:- The candidate should have minimum 12 years of experience in Data Analytics.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Insights & Visualization Practition Project Role Description : Create interactive interfaces that enable humans to understand, interpret, and communicate complex data and insights. Wrangle, analyze, and prepare data to ensure delivery of relevant, consistent, timely, and actionable insights. Leverage modern business intelligence, storytelling, and web-based visualization tools to create interactive dashboards, reports and emerging VIS/BI artifacts. Use and customize (Gen)AI and AI-powered VIS/BI capabilities to enable a dialog with data. Must have skills : Data Analytics Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Insights & Visualization Practitioner, you will engage in the creation of interactive interfaces that facilitate the understanding, interpretation, and communication of complex data and insights. Your typical day will involve wrangling, analyzing, and preparing data to ensure the delivery of relevant, consistent, timely, and actionable insights. You will leverage modern business intelligence, storytelling, and web-based visualization tools to develop interactive dashboards, reports, and emerging visualization and business intelligence artifacts. Additionally, you will utilize and customize generative artificial intelligence and AI-powered visualization and business intelligence capabilities to foster a dialog with data, enhancing the overall data experience for users. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate training sessions and workshops to enhance team capabilities in data analytics and visualization.- Continuously evaluate and improve existing data processes and visualization techniques to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Analytics.- Good To Have Skills: Experience with data visualization tools such as Tableau or Power BI.- Strong understanding of data wrangling techniques to prepare data for analysis.- Experience in developing interactive dashboards and reports that communicate insights effectively.- Familiarity with AI-powered tools and technologies for enhanced data visualization. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Analytics.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Insights & Visualization Practition Project Role Description : Create interactive interfaces that enable humans to understand, interpret, and communicate complex data and insights. Wrangle, analyze, and prepare data to ensure delivery of relevant, consistent, timely, and actionable insights. Leverage modern business intelligence, storytelling, and web-based visualization tools to create interactive dashboards, reports and emerging VIS/BI artifacts. Use and customize (Gen)AI and AI-powered VIS/BI capabilities to enable a dialog with data. Must have skills : Data Analytics Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Insights & Visualization Practitioner, you will engage in the creation of interactive interfaces that facilitate the understanding, interpretation, and communication of complex data and insights. Your typical day will involve wrangling, analyzing, and preparing data to ensure the delivery of relevant, consistent, timely, and actionable insights. You will leverage modern business intelligence tools and storytelling techniques to develop interactive dashboards and reports, while also utilizing AI-powered capabilities to foster a dialog with data, enhancing the overall data experience for users. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate training sessions to enhance team members' understanding of data visualization tools and techniques.- Develop and maintain documentation for processes and best practices related to data insights and visualization. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Analytics.- Good To Have Skills: Experience with data visualization tools such as Tableau or Power BI.- Strong understanding of data wrangling techniques to prepare data for analysis.- Experience in utilizing AI and machine learning techniques to enhance data insights.- Familiarity with storytelling principles to effectively communicate data findings. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Analytics.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft Power Business Intelligence (BI) Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application development aligns with business objectives, overseeing project timelines, and facilitating communication among stakeholders to drive project success. You will also engage in problem-solving activities, providing guidance and support to your team while ensuring that best practices are followed throughout the development process. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Facilitate regular team meetings to discuss progress, challenges, and solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Power Business Intelligence (BI).-Expert in BI visualization tools Microsoft Power BI, Tableau, QlikView- Data Wrangling on SAS, Alteryx, SQL, HANA & MDX.- Practical Computation Python & R- Expert in DAX, Power Query- Excel Spreadsheet Modeling, Goal Seek Analysis, Macros, VBA, Power Pivot- Cloud Solutions AWS & GCP- Specialized knowledge of PeopleSoft, Financial & Operational Reporting systems- Strong analytical skills to interpret data and provide actionable insights.- Experience with data modeling and report development.- Familiarity with data integration techniques and ETL processes.- Ability to create interactive dashboards and visualizations. Additional Information:- The candidate should have minimum 5 years of experience in Microsoft Power Business Intelligence (BI).- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

Job Title: Data Engineer Intern Location: Ahmedabad ( Work from Office) Duration: 5 months Start Date: Immediate or As per Availability Company: FX31 Labs Role Overview: We are looking for a curious and detail-oriented Data Engineer Intern to join our data team. This internship will give you the opportunity to work on large-scale data projects , build ETL pipelines , manage databases, and support the team in building data solutions that power decision-making. Key Responsibilities: Assist in designing and developing ETL pipelines for collecting, transforming, and loading data. Support data integration from multiple sources like APIs, files, and databases. Clean, validate, and preprocess large datasets for analytical or operational use. Help maintain and optimize data warehouses or data lakes . Collaborate with Data Scientists and Analysts to provide necessary datasets. Document data flows, data dictionaries, and pipeline architecture. Required Skills: Basic knowledge of SQL and data querying . Exposure to Python (especially for data handling pandas, NumPy, etc.). Understanding of databases (MySQL, PostgreSQL, MongoDB, etc.). Awareness of ETL processes , data modeling , and data wrangling . Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus. Strong analytical mindset and eagerness to learn new data technologies. Good to Have: Exposure to Big Data tools like Spark, Hadoop, or Airflow. Experience with Linux/Shell scripting for automation. Knowledge of version control (Git) and basic DevOps practices. Interest in data visualization or reporting tools (Tableau, Power BI, etc.). Eligibility Criteria: Pursuing or recently completed a degree in Computer Science, IT, Data Science, or related field . Available to work full-time from the Ahmedabad office for the duration of the internship. Perks: Certificate of Internship & Letter of Recommendation upon successful completion. Mentorship from experienced engineers on real-time data projects . Opportunity to receive PPO (Pre-Placement Offer) based on performance. Gain practical exposure to industry-grade tools , data challenges, and teamwork. About FX31 Labs: FX31 Labs is a fast-growing tech company delivering cutting-edge solutions in AI , data engineering , and digital product development . Our mission is to provide a learning-rich environment , encouraging innovation and hands-on experience with real-world data challenges. Warm Regards, Team Fx31labs

Project Role : Data Insights & Visualization Practition Project Role Description : Create interactive interfaces that enable humans to understand, interpret, and communicate complex data and insights. Wrangle, analyze, and prepare data to ensure delivery of relevant, consistent, timely, and actionable insights. Leverage modern business intelligence, storytelling, and web-based visualization tools to create interactive dashboards, reports and emerging VIS/BI artifacts. Use and customize (Gen)AI and AI-powered VIS/BI capabilities to enable a dialog with data. Must have skills : Data Analytics Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Insights & Visualization Practitioner, your typical day involves creating interactive interfaces that facilitate the understanding, interpretation, and communication of complex data and insights. You will engage in data wrangling, analysis, and preparation to ensure the delivery of relevant, consistent, timely, and actionable insights. Your role will also include leveraging modern business intelligence, storytelling, and web-based visualization tools to develop interactive dashboards, reports, and emerging visualization and business intelligence artifacts. Additionally, you will utilize and customize generative artificial intelligence and AI-powered visualization and business intelligence capabilities to foster a dialog with data, enhancing the overall data experience for users. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate training sessions to enhance team members' understanding of data visualization tools and techniques.- Develop and maintain documentation for processes and best practices related to data insights and visualization. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Analytics.- Strong experience with data visualization tools such as Tableau, Power BI, or similar platforms.- Expertise in data wrangling and preparation techniques to ensure data quality.- Ability to create compelling narratives through data storytelling.- Familiarity with generative artificial intelligence and its application in data visualization. Additional Information:- The candidate should have minimum 12 years of experience in Data Analytics.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

We are looking for a skilled and experienced PySpark Tech Lead to join our dynamic engineering team In this role, you will lead the development and execution of high-performance big data solutions using PySpark You will work closely with data scientists, engineers, and architects to design and implement scalable data pipelines and analytics solutions. As a Tech Lead, you will mentor and guide a team of engineers, ensuring the adoption of best practices for building robust and efficient systems while driving innovation in the use of data technologies. Key Responsibilities Lead and DevelopDesign and implement scalable, high-performance data pipelines and ETL processes using PySpark on distributed systems Tech LeadershipProvide technical direction and leadership to a team of engineers, ensuring the delivery of high-quality solutions that meet both business and technical requirements. Architect SolutionsDevelop and enforce best practices for architecture, design, and coding standards Lead the design of complex data engineering workflows, ensuring they are optimized for performance and cost-effectiveness. CollaborationCollaborate with data scientists, analysts, and other stakeholders to understand data requirements, translating them into scalable technical solutions. Optimization & Performance TuningOptimize large-scale data processing pipelines to improve efficiency and performance Implement best practices for memory management, data partitioning, and parallelization in Spark. Code Review & MentorshipConduct code reviews to ensure high-quality code, maintainability, and scalability Provide guidance and mentorship to junior and mid-level engineers. Innovation & Best PracticesStay current on new data technologies and trends, bringing fresh ideas and solutions to the team Implement continuous integration and deployment pipelines for data workflows. Problem SolvingIdentify bottlenecks, troubleshoot, and resolve issues related to data quality, pipeline failures, and performance optimization. Skills And Qualifications Experience: 7+ years of hands-on experience in PySpark and large-scale data processing. Technical Expertise: Strong knowledge of PySpark, Spark SQL, and Apache Kafka. Experience with cloud platforms like AWS (EMR, S3), Google Cloud, or Azure. In-depth understanding of distributed computing, parallel processing, and data engineering principles. Data Engineering: Expertise in building ETL pipelines, data wrangling, and working with structured and unstructured data. Experience with databases (relational and NoSQL) such as SQL, MongoDB, or DynamoDB. Familiarity with data warehousing solutions and query optimization techniques Leadership & Communication: Proven ability to lead a technical team, make key architectural decisions, and mentor junior engineers. Excellent communication skills, with the ability to collaborate effectively with cross-functional teams and stakeholders. Problem Solving: Strong analytical skills with the ability to solve complex problems involving large datasets and distributed systems. Education: Bachelors or Masters degree in Computer Science, Engineering, or a related field (or equivalent practical experience). Show more Show less

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. The Optum Technology Digital team is on a mission to disrupt the healthcare industry, transforming UHG into an industry-leading Consumer brand. We deliver hyper-personalized digital solutions that empower direct-to-consumer, digital-first experiences, educating, guiding, and empowering consumers to access the right care at the right time. Our mission is to revolutionize healthcare for patients and providers by delivering cutting-edge, personalized and conversational digital solutions. We’re Consumer Obsessed, ensuring they receive exceptional support throughout their healthcare journeys. As we drive this transformation, we're revolutionizing customer interactions with the healthcare system, leveraging AI, cloud computing, and other disruptive technologies to tackle complex challenges. Serving UnitedHealth Group's digital technology needs, the Consumer Engineering team impacts millions of lives through UnitedHealthcare & Optum. We are seeking a dynamic individual who embodies modern engineering culture - someone with deep engineering expertise within a digital product model, a passion for innovation, and a relentless drive to enhance the consumer experience. Our ideal candidate thrives in an agile, fast-paced rapid-prototyping environment, embraces DevOps and continuous integration/continuous deployment (CI/CD) practices, and champions the Voice of the Customer. If you are driven by the pursuit of excellence, eager to innovate, and excited to make a tangible impact within a team that embraces modern technologies and consumer-centric strategies, while prioritizing robust cyber-security protocols, we invite you to explore this exciting opportunity with us. Join our team and be at the forefront of shaping the future of healthcare, where your unique skills will not only be recognized but celebrated. Primary Responsibilities Design and implement data models to analyse business, system, and security events for real-time insights and threat detection Conduct exploratory data analysis (EDA) to understand patterns and relationships across large data sets, and develop hypotheses for new model development Develop dashboards and reports to present actionable insights to business and security teams Build and automate near real-time analytics workflows on AWS, leveraging services like Kinesis, Glue, Redshift, and QuickSight Collaborate with AI/ML engineers to develop and validate data features for model inputs Interpret and communicate complex data trends to stakeholders and provide recommendations for data-driven decision-making Ensure data quality and governance standards, collaborating with data engineering teams to build quality data pipelines Develop data science algorithms & generate actionable insights as per platform needs and work closely with cross capability teams throughout solution development lifecycle from design to implementation & monitoring Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications B. Tech or Master’s degree or equivalent experience 12+ years of experience in data engineering roles in Data Warehouse 3+ years of experience as a Data Scientist with a focus on building models for analytics and insights in AWS environments Experience with AWS data and analytics services (e.g., Kinesis, Glue, Redshift, Athena, TimeStream) Hands-on experience with statistical analysis, anomaly detection and predictive modelling Proficiency with SQL, Python, and data visualization tools like QuickSight, Tableau, or Power BI Proficiency in data wrangling, cleansing, and feature engineering Preferred Qualifications Experience in security data analytics, focusing on threat detection and prevention Knowledge of AWS security tools and understanding of cloud data security principles Familiarity with deploying data workflows using CI/CD pipelines in AWS environments Background in working with real-time data streaming architectures and handling high-volume event-based data

We are looking for a highly skilled and experienced Senior Associate, Enterprise Integration Engineer to join our team in Bengaluru. The ideal candidate will have 2-7 years of experience in data migration, application development, or system integration. Roles and Responsibility Support the design and implementation of data migration and system integration projects. Collaborate with ERP, CRM, and HCM teams to gather and review business and technical requirements. Develop, test, and deploy integrations and data pipelines using modern integration platforms. Conduct unit testing and assist with QA to ensure technical solutions meet client needs and follow best practices. Take ownership of individual tasks and workstreams, delivering high-quality results within established timelines. Assist with preparing documentation related to design, testing, and implementation for client-facing and internal use. Job Requirements Bachelor's degree in Computer Science, Information Technology, Systems Engineering, or a related field. Minimum 2 years of experience in data migration, application development, or system integration. Experience with integration tools such as Boomi, Azure Integration Services (Azure Data Factory, Logic Apps, etc.), MuleSoft, SSIS, or Celigo. Strong analytical, problem-solving, and data wrangling skills, including the ability to clean, transform, and prepare data for integration, migration, or reporting. Familiarity with ERP, CRM, HCM, or CPM systems and their data structures. Solid understanding of software development principles and good documentation habits. Strong communication skills and ability to work collaboratively with cross-functional teams.

Job Title:Data Analyst Experience5-10 Years Location:Chennai : Perform end-to-end analysis on healthcare data in tabular format or natural language data, ensuring strict compliance with HIPAA and data privacy regulations Independently identify problems, QA data, architect solutions and conduct analysis to support data-driven decision-making processes Collaborate with product managers, data scientists and data engineers, in an Agile and technology-driven environment Support senior data analyst and data scientists with data processing Generate internal data reports, ensuring clarity and alignment with organizational goals while adhering to HIPAA and data protection regulations Present in front of stakeholders including senior leadership, ensuring transparency and actionable recommendations ABOUT YOU: At least 3 years of work experience in analytics required, ideally in the healthcare or health plan sector, with a strong understanding of data privacy and governance frameworks such as HIPAA Strong analytical skills and critical thinking Strong knowledge of Excel calculations and data visualizations Strong SQL skills, experience of querying large datasets Experience of data visualization software (e.g., Power BI & Looker) Experience of generating automatic Power BI reports Strong statistical ability to analyze large amounts of data Experience of data wrangling and data visualization Desire and ability to build trust with business stakeholders, manage the relationship and socialize insights effectively Be able to communicate analytical insights with a variety of business stakeholders across different technical levels (including senior leaders) Self-motivated and be able to work independently Be able to work towards deadline NICE TO HAVE: Experience in Python Experience of cloud (AWS preferred) Experience in Quality or Risk Adjustment

RAG Pipeline Architectures Fine/Prompt/Instruction Tuning of LLMs machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn). data wrangling, data cleaning, data preprocessing, and data

Job Title: Data Analyst Location: Bangalore Experience: 1- 3 years Industry: Insurtech / Employee Benefits Company: Pazcare Job Type: Full-Time Job Summary: Pazcare is seeking a Data Analyst to help us unlock actionable insights from our growing datasets across insurance, wellness, and employee benefits. You will work closely with our business, product, and growth teams to drive data-informed decision-making. Responsibilities: Collect, clean, and analyze structured and unstructured data across various channels. Design and maintain dashboards to track key metrics and business KPIs. Perform root-cause analyses and identify actionable insights for product and growth teams. Collaborate with stakeholders to define data requirements and reporting goals. Present findings clearly with visualizations, summaries, and recommendations. Requirements: 13 years of experience in a data analyst or business intelligence role. Proficiency in SQL and spreadsheet tools like Excel/Google Sheets. Experience with data visualization tools (Tableau, Power BI, Looker, or similar). Familiarity with scripting in Python or R for data wrangling and analysis. Strong analytical thinking and attention to detail. Excellent communication and presentation skills. Nice to Have: Experience working with insurance or employee benefits data. Exposure to data warehouses (BigQuery, Snowflake, Redshift). Understanding of basic statistical methods and/or A/B testing.

Key Responsibilities : - Understand the factories , manufacturing process , data availability and avenues for improvement - Brainstorm , together with engineering, manufacturing and quality problems that can be solved using the acquired data in the data lake platform. - Define what data is required to create a solution and work with connectivity engineers , users to collect the data - Create and maintain optimal data pipeline architecture. - Assemble large, complex data sets that meet functional / non-functional business requirements. - Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery for greater scalability - Work on data preparation, data deep dive , help engineering, process and quality to understand the process/ machine behavior more closely using available data - Deploy and monitor the solution - Work with data and analytics experts to strive for greater functionality in our data systems. - Work together with Data Architects and data modeling teams. Skills /Competencies : - Good knowledge of the business vertical with prior experience in solving different use cases in the manufacturing or similar industry - Ability to bring cross industry learning to benefit the use cases aimed at improving manufacturing process Problem Scoping/definition Skills : - Experience in problem scoping, solving, quantification - Strong analytic skills related to working with unstructured datasets. - Build processes supporting data transformation, data structures, metadata, dependency and workload management. - Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores - Ability to foresee and identify all right data required to solve the problem Data Wrangling Skills : - Strong skill in data mining, data wrangling techniques for creating the required analytical dataset - Experience building and optimizing 'big data' data pipelines, architectures and data sets - Adaptive mindset to improvise on the data challenges and employ techniques to drive desired outcomes Programming Skills : - Experience with big data tools: Spark, Delta, CDC, NiFi, Kafka, etc - Experience with relational SQL ,NoSQL databases and query languages, including oracle , Hive, sparkQL. - Experience with object-oriented languages: Scala, Java, C++ etc. Visualization Skills : - Know how of any visualization tools such as PowerBI, Tableau - Good storytelling skills to present the data in simple and meaningful manner Data Engineering Skills : - Strong skill in data analysis techniques to generate finding and insights by means of exploratory data analysis - Good understanding of how to transform and connect the data of various types and form - Great numerical and analytical skills - Identify opportunities for data acquisition - Explore ways to enhance data quality and reliability - Build algorithms and prototypes - Reformulating existing frameworks to optimize their functioning. - Good understanding of optimization techniques to make the system performant for requirements.

Key Responsibilities : - Understand the factories , manufacturing process , data availability and avenues for improvement - Brainstorm , together with engineering, manufacturing and quality problems that can be solved using the acquired data in the data lake platform. - Define what data is required to create a solution and work with connectivity engineers , users to collect the data - Create and maintain optimal data pipeline architecture. - Assemble large, complex data sets that meet functional / non-functional business requirements. - Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery for greater scalability - Work on data preparation, data deep dive , help engineering, process and quality to understand the process/ machine behavior more closely using available data - Deploy and monitor the solution - Work with data and analytics experts to strive for greater functionality in our data systems. - Work together with Data Architects and data modeling teams. Skills /Competencies : - Good knowledge of the business vertical with prior experience in solving different use cases in the manufacturing or similar industry - Ability to bring cross industry learning to benefit the use cases aimed at improving manufacturing process Problem Scoping/definition Skills : - Experience in problem scoping, solving, quantification - Strong analytic skills related to working with unstructured datasets. - Build processes supporting data transformation, data structures, metadata, dependency and workload management. - Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores - Ability to foresee and identify all right data required to solve the problem Data Wrangling Skills : - Strong skill in data mining, data wrangling techniques for creating the required analytical dataset - Experience building and optimizing 'big data' data pipelines, architectures and data sets - Adaptive mindset to improvise on the data challenges and employ techniques to drive desired outcomes Programming Skills : - Experience with big data tools: Spark, Delta, CDC, NiFi, Kafka, etc - Experience with relational SQL ,NoSQL databases and query languages, including oracle , Hive, sparkQL. - Experience with object-oriented languages: Scala, Java, C++ etc. Visualization Skills : - Know how of any visualization tools such as PowerBI, Tableau - Good storytelling skills to present the data in simple and meaningful manner Data Engineering Skills : - Strong skill in data analysis techniques to generate finding and insights by means of exploratory data analysis - Good understanding of how to transform and connect the data of various types and form - Great numerical and analytical skills - Identify opportunities for data acquisition - Explore ways to enhance data quality and reliability - Build algorithms and prototypes - Reformulating existing frameworks to optimize their functioning. - Good understanding of optimization techniques to make the system performant for requirements.

Key Responsibilities : - Understand the factories , manufacturing process , data availability and avenues for improvement - Brainstorm , together with engineering, manufacturing and quality problems that can be solved using the acquired data in the data lake platform. - Define what data is required to create a solution and work with connectivity engineers , users to collect the data - Create and maintain optimal data pipeline architecture. - Assemble large, complex data sets that meet functional / non-functional business requirements. - Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery for greater scalability - Work on data preparation, data deep dive , help engineering, process and quality to understand the process/ machine behavior more closely using available data - Deploy and monitor the solution - Work with data and analytics experts to strive for greater functionality in our data systems. - Work together with Data Architects and data modeling teams. Skills /Competencies : - Good knowledge of the business vertical with prior experience in solving different use cases in the manufacturing or similar industry - Ability to bring cross industry learning to benefit the use cases aimed at improving manufacturing process Problem Scoping/definition Skills : - Experience in problem scoping, solving, quantification - Strong analytic skills related to working with unstructured datasets. - Build processes supporting data transformation, data structures, metadata, dependency and workload management. - Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores - Ability to foresee and identify all right data required to solve the problem Data Wrangling Skills : - Strong skill in data mining, data wrangling techniques for creating the required analytical dataset - Experience building and optimizing 'big data' data pipelines, architectures and data sets - Adaptive mindset to improvise on the data challenges and employ techniques to drive desired outcomes Programming Skills : - Experience with big data tools: Spark, Delta, CDC, NiFi, Kafka, etc - Experience with relational SQL ,NoSQL databases and query languages, including oracle , Hive, sparkQL. - Experience with object-oriented languages: Scala, Java, C++ etc. Visualization Skills : - Know how of any visualization tools such as PowerBI, Tableau - Good storytelling skills to present the data in simple and meaningful manner Data Engineering Skills : - Strong skill in data analysis techniques to generate finding and insights by means of exploratory data analysis - Good understanding of how to transform and connect the data of various types and form - Great numerical and analytical skills - Identify opportunities for data acquisition - Explore ways to enhance data quality and reliability - Build algorithms and prototypes - Reformulating existing frameworks to optimize their functioning. - Good understanding of optimization techniques to make the system performant for requirements.