938 Dataset Jobs - Page 3

Job Description At RBHU, we are a team of hyper-focused individuals focused on achieving clear, outstanding results. We thrive on a foundation of trust, collaboration, and a shared sense of purpose. By harnessing our collective talents and aligning our efforts, our teams consistently surpass benchmarks and set new standards of excellence. Requirements : We are looking for bright, young engineers with good mathematics skills and an interest in data analytics/science. Experience : 0 to 1 year Knowledge Of The Following Will Be Advantageous SQL Query writing MS Power BI Python/R for data science Responsibilities Data Cleaning and Preparation : This involves filtering the data, handling missing values, and preparing the dataset for analysis to ensure accuracy and relevance. Data Exploration and Analysis : Analysts use statistical tools and techniques to explore and analyze data, identifying patterns, relationships, and trends. Data Visualization : They create visual representations of data findings through charts, graphs, and dashboards to make the data understandable. Reporting : Data analysts prepare reports and presentations to communicate the insights and findings from the data to stakeholders, which can influence policy and decision-making processes. Collaboration : They often work with other departments to understand their data needs and help them make informed decisions based on data insights. Understand requirements given by business users in the functional domain. Access data stored in databases/warehouses/flat files. Create/test/deploy intuitive and interactive, analytical dashboards. Create algorithms in Python/R for advanced analytics. Create data governance policies like RLS to manage data security. (ref:hirist.tech)

Position Overview: Here at ShyftLabs, we are looking for an experienced Data Scientist who can derive performance improvement and cost efficiency in our product through a deep understanding of the ML and infra system, and provide a data-driven insight and scientific solution. ShyftLabs is a growing data product company that was founded in early 2020, and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation. Job Responsibilities: Data Analysis and Research: Analyzing a large dataset with queries and scripts, extracting valuable signals out of noise, and producing actionable insights into how we could complete and improve a complex ML and bidding system Simulation and Modelling: Validating and quantifying the efficiency and performance gain from hypotheses through rigorous simulation and modelling Experimentation and Causal Inference: Developing a robust experiment design and metric framework, and providing reliable and unbiased insights for product and business decision making Basic Qualifications: Master's degree in a quantitative discipline or equivalent 3+ years minimum professional experience Distinctive problem-solving skills, good at articulating product questions, pulling data from large datasets and using statistics to arrive at a recommendation Excellent verbal and written communication skills, with the ability to present information and analysis results effectively Ability to build positive relationships within ShyftLabs and with our stakeholders, and work effectively with cross-functional partners in a global company Statistics: Must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models Machine Learning: Must have a deep understanding of ML algorithms (i.e., deep learning, random forest, gradient boosted trees, k-means clustering, etc.) and their development, validation, and evaluation Programming: Experience with Python, R, or other scripting language, and database language (e.g. SQL) or data manipulation (e.g. Pandas) We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.

Let’s do this. Let’s change the world. In this vital role you will be responsible for hands-on programming and results delivery. Additionally, they will be responsible for manipulating large databases and generating reports to enable epidemiologists to explore and generate RWE from real-world healthcare data assets. The ideal candidate should possess a bachelor’s degree and have at least two years of relevant career experience in statistical programming. Proficiency in SAS and SQL programming is required, while experience with R and Python is preferred. The successful candidate will demonstrate scientific and technical excellence, exceptional oral and written communication skills, problem-solving abilities, and meticulous attention to detail. The ability to work effectively within a large, globally distributed team is essential. Responsibilities: Write, test and validate software programs in Unix and Databricks to produce analysis datasets and presentation output such as tables and figures, to be included in reports for submission to regulatory agencies, publications and other communications Provide technical solutions to programming problems within CfOR Lead and develop technical programming and process improvement initiatives within CfOR Represent the programming function and participate in multidisciplinary project team meetings Manage all programming activities, according to agreed resource and timeline plans Ensure all programming activities on the project adhere to departmental standards Write and/or review and approve all programming plans Write and/or review and approve analysis dataset specifications Write, test, validate and execute department-, product- and protocol-level macros and utilities Participate in study and systems audits by Clinical Quality Assurance (CQA) and external bodies, and respond to audit questions and findings Actively participate in external professional organizations, conferences and/or meetings Provide input to and participate in intra-departmental and CfOR meetings Contribute to the continuous improvement of programming, CfOR, and Research and Development (R&D) Experience in statistical programming using SAS and SQL 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: Bachelor’s degree and 2 to 6 years in Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject Preferred Qualifications: Training or experience using the Observational Medical Outcomes Partnership (OMOP) common data model Experience: Strong individual contributor, proficient in developing analysis datasets, identifying data anomalies, and ensuring program accuracy Global collaboration on studies to clarify and implement analyses described in Statistical Analysis Plans Project fulfillment, statistical programming, issue escalation, results delivery Statistical programming: SAS and SQL required; R and Python preferred Motivated to learn how to work with real-world healthcare data (RWD) such as healthcare claims (MarketScan, Optum Clinformatics, Medicare) and EHR databases (Optum EHR PanTher, Flatiron, CPRD, MDV) Key Competencies Hands-on programming role Expert statistical programming knowledge using SAS or R Required: SAS Required: SQL Preferred: R Preferred: Python Excellent verbal and written communication skills in English Ability to have efficient exchanges with colleagues across geographical locations Real-world data (RWD) including insurance claims databases, electronic medical records and patient registries; for example, MarketScan, Optum, PharMetrics, Flatiron, Medicare Scientific / technical excellence Oral and written communication, documentation skills Leadership Innovation Teamwork Problem solving Attention to detail Learning mindset 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

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Data Engineer What You Will Do Let’s do this. Let’s change the world. Amgen India will be an integral part in driving growth & innovation, improving efficiency and creating enterprise value – supporting our mission “To Serve Patients”. The Amgen India Digital Technology & Innovation Data Engineer for Clinical Data Hub will be responsible for end-to-end design, development and DevOps of data pipelines for clinical data domain across technology platform and stacks. This role will leverage the latest technology to develop advanced data engineering pipeline and system solution to enable advanced data analytics for Amgen Clinical trial design and development. across various global clinical development business functions. As the results, comprehensive clinical domain datasets and systems are up-to-date and ready for advanced clinical trial design and development insight generation analytics Design, develop, and deploy data pipeline for clinical domain dataset As an infrastructure programmer, continuously develop and support Data Scientist R-Platform and integration with various technology (Kubernetes Container, HashiCorp Vault, SAS Storage, and Data Science Work Bench) Design and build various reusable program components using innovative technology (NLP, AI, Python, R, etc) to transform and harmonize clinical dataset for insight generation Collaborate with Data Architects, Business SME’s, and Data Scientists to capture the business requirement and translate into Agile product backlog Serve as primary data engineer to manage and support AWS, Databricks, RStudio platform, and cloud AI based system production DevOps Align to best practices for coding, testing, and designing reusable code/component Explore new tools and technologies that will help streamline data pipeline and add new durable capability for clinical development Participate in sprint planning meetings and provide estimations on technical implementation Collaborate and communicate effectively with the product teams What We Expect Of You We are all different, yet we all use our unique contributions to serve patients. What We Expect Of You Basic Qualifications: Master's degree / Bachelor's degree and 5 to 9 years [Job Code’s Discipline and/or Sub-Discipline] Must Have Skills: Advanced skills in SQL, Python, and R languages programing; AWS cloud technology and databricks data lake technology stacks Proficient skills and knowledge on common AI/Machine Learning technologies. Data modeling skills, and software development lifecycle knowledge and standard processes Learning ability of new technology in the information field Skill of using DevOps CI/CD tools, such Git, Jenkins and front UI Visualization technology Good to Have Skills: Work experience in the biotechnology or pharmaceutical industry. Experience using and adopting Scaled Agile Framework (SAFe) Ability to work effectively in a fast-paced, dynamic environment. Experience with data modeling for both relationship databases, hands-on experience with SQL (PostgreSQL and Hive SQL is preferred) Experience with UI Visualization technology (Dash, RSConnect, Tableau preferred) Knowledge and experience in clinical trial design and development process and technology landscape, familiar with clinical trial data standards and structures Certification: SAFe for Teams certification (preferred) Soft Skills: Strong communications skills in writing, speaking, presenting and time management skills Strong transformation and change management experience. Exceptional collaboration and communication skills. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented with a focus on achieving team goals. Strong presentation and public speaking skills. 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.

Hi, We are looking for an experienced Data Engineer to join our IT team. The ideal candidate will have at least 6-10 years of hands-on experience . Kindly share your profile at career@mezash.com, if the below J.D. is matching with your profile. Note : This is an urgent hiring, share your profile if you are an immediate joiner only(* Apply only who can join in 5-10 Days). ## Shift Timings: General Shift Time ## Data Engineer ##Office: Noida ## Working Mode: WORK FROM OFFICE (100%) ##Job Title: Data Engineer (Python Expert) ##Location: NOIDA ##Experience: 4-8Years Job Description: We are seeking an experienced and highly skilled Data Engineer to join our dynamic team. The ideal candidate will have a strong background in building scalable data pipelines, analyzing complex datasets, and delivering actionable insights through visualizations and automated workflows. Key Responsibilities: Design and develop robust ETL pipelines to extract, transform, and load data from various sources. Write efficient Python scripts to parse structured and unstructured data from APIs, databases, and flat files. Build and maintain data models that feed into interactive Power BI dashboards and reports . Automate data workflows and reporting processes to improve efficiency and accuracy. Conduct exploratory data analysis (EDA) and mining to derive business insights. Collaborate with cross-functional teams including analysts, engineers, and business stakeholders to define data requirements. Ensure data quality, consistency, and compliance with organizational and industry standards. Required Skills and Qualifications: 6-10 years of professional experience as a Data Scientist or Data Engineer . Advanced proficiency in Python for data manipulation (e.g., Pandas, NumPy ). Strong experience in building/managing ETL pipelines using tools like Airflow , Azure Data Factory , or custom Python scripts. Hands-on expertise in Power BI , including dataset creation, dashboard design, and DAX expressions . Solid knowledge of SQL and relational databases such as PostgreSQL, MySQL, or MSSQL . Familiarity with working with REST APIs , JSON , and data normalization techniques. Experience with cloud platforms (Azure, AWS, GCP) is a plus.

Experience : 7-11 Yrs. Job Description: Must Have Skills: Data Warehouse Concepts MSBI (SSIS/SSAS(Tabular)/SSRS) Power BI Microsoft SQL Server, T-SQL Power BI Development: Design and develop visually compelling, interactive reports and dashboards using Power BI. Build data models, implement DAX calculations, and optimize performance for large datasets. Create reusable templates, themes, and standardized visuals. Data Integration & Governance: Connect Power BI to various data sources (SQL Server, Excel, SharePoint, Fabric, Dataverse, SAP, APIs, etc.). Implement row-level security (RLS) and dataset certifications to ensure secure and trusted analytics. Ensure data quality, integrity, and documentation across the BI solution lifecycle. Collaboration & Communication: Gather requirements from stakeholders and translate them into scalable BI solutions. Work closely with cross-functional teams including Data Engineers, Analysts, and Business Users. Present analytical insights to non-technical users in a meaningful way. Company Details: One of the top ranked IT Companies in Ahmedabad, Gujarat. We are ISO 9001:2015 & ISO 27001:2013 certified leading global technology solution provider. Globally present, core focus is on USA, Middle East, Canada for services. Constantly enhancing our span of services around custom software development, Enterprise Mobility Solutions, and the Internet of Things. Family of multicultural and multi-talented passionate and well experienced resources who consistently work to set new standards for customer satisfaction by implementing industry best practices.

Revenir aux offres Stagiaire Data Engineer (LOB25-STA-08) Nature Data Engineer Contrat Stage 6 mois Expérience Moins d'1 an Lieu de travail Paris / Région parisienne A Propos Vous interviendrez au sein d’une équipe constituée de 3 consultants expérimentés et d’un chef de projet. Vous prendrez en charge un périmètre de réalisation avec le développement et la qualification des développements en utilisant l’ETL TALEND pour les alimentations et la structuration des données issues de différents systèmes sources, complété de l’outil PowerBI pour la réalisation des tableaux de bord, des rapports et des dataset pour offrir des services de Self-BI. Cette mission vous permettra de développer des compétences sur l’architecture applicative d’une plateforme DATA moderne, la réalisation de procédures d’alimentation en utilisant un ETL et sur la mise en place de modules de reporting relationnel et multidimensionnel tout en faisant l’acquisition de connaissance sur la démarche de mise en œuvre d’un projet décisionnel. Descriptif du poste Apprentissage de la méthodologie de mise en œuvre d'un projet décisionnel : Modélisation des bases de données et conception des Dashboards Méthodologie et spécificités de la démarche de mise en œuvre Technologie et contraintes d'infrastructure pour atteindre les performances visées Modélisation des bases de données Création des processus d’alimentation et d’administration au sein d’un système décisionnel A Partir Des Spécifications Fonctionnelles Du Métier, Vous Prendrez En Charge L’élaboration Des Spécifications Techniques Et Le Développement/paramétrage Des Composants Techniques Définition du modèle de données Chargement / alimentation du datamart avec l’ETL Talend DataViz avec le reporting PowerBI Tests unitaires puis d'intégration de l’ensemble de la solution Suivi et assistance du Client lors du processus de validation de la solution Mise à jour / Rédaction des guides utilisateurs et administrateur Accompagnement des utilisateurs Participation aux opérations de déploiement sur l’environnement de production Profil recherché Etudiant en dernière année d’école d’ingénieur ou Master 2 scientifique. Compétences Requises Compétences techniques : SGBD, SQL Techniques de programmation Première approche de l’informatique décisionnelle Qualités requises : Double intérêt technique / fonctionnel Qualités rédactionnelles Esprit d’analyse Rigueur Sens du service Aisance relationnelle Postuler Ce champs est requis. Ce champs est requis. Ce mail n'est pas valide. CV ** Ce champs est requis. Lettre de motivation Vous nous avez connus par... Les réseaux sociaux Un forum ou un événement école Une connaissance Autre Champs requis Fichier requis, au format pdf, poids inférieur à 5Mo Merci, votre mail a été envoyé.

miBiome Therapeutics is a biotech company pioneering data-driven solutions in human health through genomics and research. We're a growing, research-first team working on real-world biological problems that require advanced machine learning and statistical modeling. What You’ll Do: As a Machine Learning Engineer at miBiome, you’ll collaborate closely with bioinformaticians and research scientists to develop, train, and validate models that power genomics-based insights. Your work will involve: Building and optimizing ML models for large-scale genomics data Designing pipelines to process, integrate, and analyze structured and unstructured biological datasets Contributing to model evaluation and interpretation in the context of real-world genomics challenges Working cross-functionally with biology, data, and engineering teams What We’re Looking For: 1 – 2 years of experience in machine learning, preferably with real-world dataset experience Strong grasp of supervised and unsupervised learning techniques Proficiency in Python (TensorFlow/PyTorch, scikit-learn, etc.) Solid understanding of data preprocessing, model evaluation, and feature engineering Familiarity with version control (Git) and collaborative dev workflows Bonus: Experience with genomics data, biomedical datasets, or biotech R&D environments Why Join Us: Opportunity to work on cutting-edge health tech challenges Work alongside top talent in biology, engineering, and data science Flexible work environment with deep scientific impact Be part of a mission to transform human health through data

We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. You should have experience working with well- maintained, widely-used repos with 5000+ stars. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality. About The Project We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc. Responsibilities Analyze and triage GitHub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Packaging a Java application and its dependencies into a self-contained, portable unit (docker container). Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects. Required Skills Strong experience with Java. Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus Nice To Have Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. Skills: open-source project contribution,unit test evaluation,docker,git,github,java,software pipeline setup,codebase navigation

About the projects: W e are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop ; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc. About the Role: We are looking for 5years+ experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. You should have experience working with well-maintained, widely-used repos with 5000+ stars. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality. Required Skills: Minimum 5+ years of overall experience Strong experience with at least one of the following languages: Rust Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus. Nice to Have: Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents.

About the Role We are seeking a hands-on AI/ML Engineer with deep expertise in Retrieval-Augmented Generation (RAG) agents , Small Language Model (SLM) fine-tuning , and custom dataset workflows . You'll work closely with our AI research and product teams to build production-grade models, deploy APIs, and enable next-gen AI-powered experiences. Key Responsibilities Design and build RAG-based solutions using vector databases and semantic search. Fine-tune open-source SLMs (e.g., Mistral, LLaMA, Phi, etc.) on custom datasets. Develop robust training and evaluation pipelines with reproducibility. Create and expose REST APIs for model inference using FastAPI . Build lightweight frontends or internal demos with Streamlit for rapid validation. Analyze model performance and iterate quickly on experiments. Document processes and contribute to knowledge-sharing within the team. Must-Have Skills 3–5 years of experience in applied ML/AI engineering roles. Expert in Python and common AI frameworks (Transformers, PyTorch/TensorFlow). Deep understanding of RAG architecture, vector stores (FAISS, Pinecone, Weaviate). Experience with fine-tuning transformer models and instruction-tuned SLMs. Proficient with FastAPI for backend API deployment and Streamlit for prototyping. Knowledge of tokenization, embeddings, training loops, and evaluation metrics. Nice to Have Familiarity with LangChain, Hugging Face ecosystem, and OpenAI APIs. Experience with Docker, GitHub Actions, and cloud model deployment (AWS/GCP/Azure). Exposure to experiment tracking tools like MLFlow, Weights & Biases. What We Offer Build core tech for next-gen AI products with real-world impact. Autonomy and ownership in shaping AI components from research to production. Competitive salary, flexible remote work policy, and a growth-driven environment.

Crossing Hurdles is a recruitment firm. We refer top candidates to our partners working with the world’s leading AI research labs to help build and train cutting-edge AI models. Position: Indian Legal Expert – AI Trainer Type: Hourly Contract (Remote) Compensation: $30–$60/hour (based on experience and domain relevance) Location: Remote Duration: 10–20 hours/week for 2–3 weeks (extension possible) Requirements We are looking for legal professionals with strong experience in Indian litigation or corporate/transactional law to support advanced AI systems. You are a great fit if you: Have prior experience in litigation or corporate/transactional legal work Are familiar with Indian legal and regulatory sources (e.g., SEBI, MCA, court databases) Possess strong attention to detail and can follow structured documentation protocols Can work independently with tight timelines and minimal supervision Demonstrate strong organizational skills and the ability to meet deadlines Have strong written communication skills Role As an AI Trainer, you will: Collect, review, and organize publicly available Indian legal and financial documents Ensure the accuracy , completeness , and source traceability of all materials Follow defined documentation guidelines and contribute to dataset creation for internal testing and AI demonstrations Collaborate asynchronously with project managers to ensure timely delivery Training and documentation guidelines will be provided.

Mercor is seeking contract analysts with litigation or corporate/transactional experience to support new Uruguay dataset projects. These roles involve compiling publicly available legal and financial documents that will contribute to internal testing and external demonstrations for advanced AI systems. Key Responsibilities: Collect and organize publicly available legal and financial documents based on project guidelines. Ensure accuracy, completeness, and clarity of all compiled materials. Follow structured documentation processes to meet defined quality standards. Verify sources and ensure all data is obtained from public, verifiable platforms. Collaborate asynchronously with the project manager and meet all deadlines. You’re a strong fit if you have: Prior experience in litigation or in corporate/transactional work. Familiarity with Uruguay legal and regulatory document sources. Excellent attention to detail and ability to follow structured documentation requirements. Strong organizational skills and ability to manage time to meet deadlines. Ability to work independently and deliver high-quality work on short timelines. Role Details: Part-time, project-based work with an expected duration of 2–3 weeks . Expected engagement: 10–20 hours per week , depending on availability and project needs. 100% remote and asynchronous—work from anywhere, on your own schedule. Compensation & Legal: Contractor role via Mercor. Competitive hourly rate of $55-180 USD , based on experience and domain relevance. Payments processed weekly through Stripe Connect. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies, reaching over 10 million patients worldwide. Become the professional you are meant to be in this important role. The Financial Insights & Technology (FIT) team was created to: (1) maintain and build upon work/improvements enabled by various initiatives, (2) implement standardized reporting capabilities, (3) implement and maintain policies, processes and systems needed to drive an efficient and effective reporting environment and (4) explore new ways to evolve reporting, in the spirit of continuous improvement, to improve financial insights across the global finance organization. The Associate will be part of the FIT (Financial Insights & Technology) Data Analytics & Processes team within Corporate Finance. This role will be based in India – Hyderabad. What Will You Do In this vital role as an Associate Data Analytics, you will play a meaningful role in Financial Data Integrations and Analysis for the global Amgen organization. Key responsibilities include but are not limited to: Developing a strong understanding of Amgen’s financial data and systems to support reporting, integration, and data request needs across initiatives. Working in close partnership with client-facing members of the FIT Reporting & Analytics (FITRA) team to design, develop and augment the financial datasets Owning and managing daily operational data processes in Databricks, ensuring they run reliably and efficiently. Creating and maintaining data pipelines in Databricks & Prophecy and building Tableau/Power BI dashboards to enable enterprise reporting and support future analytics needs. Writing SQL queries and creating ad-hoc reports based on end-user or team requests. Participating in project work to support financial dataset requests for other functions or groups within Amgen Identifying opportunities for automation and process improvement to streamline and enhance performance of data pipelines. Validating datasets through Databricks and Tableau dashboards Maintaining FITDAP documentation and code base. Involvement in the Financial Data Product Team, as well as supporting other initiatives. Key elements to success in this role include understanding Amgen’s financial systems and data, understanding how to design datasets compatible with Tableau/Power BI reporting requirements, understanding how to take “business requirements” from colleagues and customers to translate them into dataset design. What We Expect Of You We are all different, yet we all use our outstanding contributions to serve patients. The Associate Data Analytics professional we seek is a go-getter with these qualifications. Basic Qualifications Master’s degree OR Bachelor’s degree and 2 years of Finance or Information Systems experience OR Associate degree and 6 years of Finance or Information Systems experience Or High school diploma / GED and 8 years of Finance or Information Systems experience Preferred Qualifications Experience with financial statements and Amgen Finance experience is a plus Experience with data analysis and data visualization solutions such as Tableau, Power BI, Databricks, Prophecy, and Alteryx Designer Basic understanding of building ETL pipelines using data integration tools such as Prophecy, Alteryx, Databricks or similar platforms Familiar with Hyperion Planning, SAP, and scripting languages like SQL or Python. Well-versed in MS Suite, especially MS Excel (for data handling tasks such as pivot tables, VLOOKUP, data analysis tools, formatting) and proficient in MS Word and MS PowerPoint Excellent analytical and problem-solving skills. Able to work under a minimum supervision while being diligent with remote work and remote collaboration Strong communication and presentation skills Able to work in matrixed teams, across geographic and functional reporting lines

At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies, reaching over 10 million patients worldwide. Become the professional you are meant to be in this important role. The Financial Insights & Technology (FIT) team was created to: (1) maintain and build upon work/improvements enabled by various initiatives, (2) implement standardized reporting capabilities, (3) implement and maintain policies, processes and systems needed to drive an efficient and effective reporting environment and (4) explore new ways to evolve reporting, in the spirit of continuous improvement, to improve financial insights across the global finance organization. The Associate will be part of the FIT (Financial Insights & Technology) Data Analytics & Processes team within Corporate Finance. This role will be based in India – Hyderabad. What will you do In this vital role as an Associate Data Analytics, you will play a meaningful role in Financial Data Integrations and Analysis for the global Amgen organization. Key responsibilities include but are not limited to: Developing a strong understanding of Amgen’s financial data and systems to support reporting, integration, and data request needs across initiatives. Working in close partnership with client-facing members of the FIT Reporting & Analytics (FITRA) team to design, develop and augment the financial datasets Owning and managing daily operational data processes in Databricks, ensuring they run reliably and efficiently. Creating and maintaining data pipelines in Databricks & Prophecy and building Tableau/Power BI dashboards to enable enterprise reporting and support future analytics needs. Writing SQL queries and creating ad-hoc reports based on end-user or team requests. Participating in project work to support financial dataset requests for other functions or groups within Amgen Identifying opportunities for automation and process improvement to streamline and enhance performance of data pipelines. Validating datasets through Databricks and Tableau dashboards Maintaining FITDAP documentation and code base. Involvement in the Financial Data Product Team, as well as supporting other initiatives. Key elements to success in this role include understanding Amgen’s financial systems and data, understanding how to design datasets compatible with Tableau/Power BI reporting requirements, understanding how to take “business requirements” from colleagues and customers to translate them into dataset design. What we expect of you We are all different, yet we all use our outstanding contributions to serve patients. The Associate Data Analytics professional we seek is a go-getter with these qualifications. Basic Qualifications Master’s degree OR Bachelor’s degree and 2 years of Finance or Information Systems experience OR Associate degree and 6 years of Finance or Information Systems experience Or High school diploma / GED and 8 years of Finance or Information Systems experience Preferred Qualifications Experience with financial statements and Amgen Finance experience is a plus Experience with data analysis and data visualization solutions such as Tableau, Power BI, Databricks, Prophecy, and Alteryx Designer Basic understanding of building ETL pipelines using data integration tools such as Prophecy, Alteryx, Databricks or similar platforms Familiar with Hyperion Planning, SAP, and scripting languages like SQL or Python. Well-versed in MS Suite, especially MS Excel (for data handling tasks such as pivot tables, VLOOKUP, data analysis tools, formatting) and proficient in MS Word and MS PowerPoint Excellent analytical and problem-solving skills. Able to work under a minimum supervision while being diligent with remote work and remote collaboration Strong communication and presentation skills Able to work in matrixed teams, across geographic and functional reporting lines

Senior Manager EXL/SM/1426744 ServicesGurgaon Posted On 25 Jul 2025 End Date 08 Sep 2025 Required Experience 8 - 15 Years Basic Section Number Of Positions 1 Band C2 Band Name Senior Manager Cost Code D005918 Campus/Non Campus NON CAMPUS Employment Type Permanent Requisition Type New Max CTC 2200000.0000 - 3400000.0000 Complexity Level Not Applicable Work Type Hybrid – Working Partly From Home And Partly From Office Organisational Group Analytics Sub Group Retail Media & Hi-Tech Organization Services LOB Consulting SBU Analytics Country India City Gurgaon Center Gurgaon-SEZ BPO Solutions Skills Skill BUSINESS INTELLIGENCE DATA ARCHITECTURE & ETL PROCESSES Minimum Qualification BTECH ANY GRADUATE Certification No data available Job Description Job Title: Lead SME – Business Intelligence (DOMO BI) Location: Remote (India-based) / Hybrid (office in Gurgaon or Bangalore) Job Type: Full-time Band : C1/C2 Role Overview: We are seeking a highly skilled and experienced Lead BI SME (Subject Matter Expert) in DOMO BI to lead a strategic BI assessment and transformation initiative. The client currently uses DOMO BI as their primary tool, and the role involves evaluating its usage, optimizing its setup including ETL pipelines , rationalizing dashboards, and assessing readiness for potential migration. The ideal candidate will act as an individual contributor and thought leader . Key Responsibilities: DOMO BI Core skills DOMO Platform Setup & Administration - Proficient in configuring DOMO instances, managing user roles and permissions, setting up data governance policies, and integrating with enterprise identity providers (SSO, LDAP). Data Integration & ETL Development -Skilled in connecting to diverse data sources (cloud, on-prem, APIs), building and optimizing ETL pipelines using DOMO Magic ETL and SQL transforms, and ensuring data quality and refresh reliability. Dashboard & App Development - Expertise in designing interactive dashboards and custom apps using DOMO Cards, Pages, and DDX Bricks, aligned with business KPIs and user personas. Performance Optimization & Governance - Experience in monitoring data pipeline performance, managing dataset sizes, implementing naming conventions, and enforcing dashboard lifecycle and version control best practices. BI Assessment & Strategy Evaluate the current usage and configuration of DOMO BI including data sources, ETL pipelines, and user access. Identify gaps, inefficiencies, and opportunities for optimization. Define best practices for dashboard development, data governance, and user adoption. Review the setup and configuration of DOMO BI including data connectors, dataflows, and ETL pipelines. Optimize data ingestion and transformation processes within DOMO. Ensure data quality, performance, and scalability of DOMO solutions. Provide comparative analysis between DOMO and other BI tool capabilities. Dashboard Inventory & Rationalization Inventory and classify existing dashboards. Recommend dashboards for retirement, consolidation, or enhancement. Establish a framework for ongoing dashboard lifecycle management. Assess the feasibility and value of transitioning to other BI tools Define a roadmap for migration including architecture, data modeling, and training. Stakeholder Engagement & Thought Leadership Collaborate with business and technical stakeholders to gather requirements and share insights. Present findings, recommendations, and roadmaps to senior leadership. Stay current with BI trends, tools, and methodologies. Mentor internal teams and contribute to knowledge sharing. Requirements: Education Bachelor’s degree in Engineering, Computer Science, Information Systems, or related field ( B.Tech preferred ). Advanced certifications in BI tools (DOMO, Power BI) are a plus. Experience 8+ years of experience in Business Intelligence and Data Analytics. 3+ years of hands-on experience with DOMO BI including setup, ETL, and dashboard development. Strong experience with Power BI including DAX, Power Query, and data modeling. Proven track record of leading BI assessments and tool rationalization projects. Skills Deep understanding of BI architecture, data integration, and visualization best practices. Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Ability to work independently in a remote, cross-functional environment. Workflow Workflow Type L&S-DA-Consulting

DESCRIPTION Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging the latest technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment Provide floor support to Operations manager in running day to day operations working closely with Data Associates Handle work prioritization and deliver based on business needs Track and report ops metrics and ensure delivery on all KPIs and SLAs You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation You will strive to enhance the productivity and effectiveness of the data generation and annotation processes The tasks will be primarily repetitive in nature and will require the individual to make judgment-based decisions keeping in mind the guidelines provided in the SOP. BASIC QUALIFICATIONS Graduate or equivalent (up to 1 year of experience) Candidate must demonstrate language proficiency in Spanish language for the following: verbal, writing, reading and comprehension. Required language level: B2.2/BA/Advanced Diploma Good English language proficiency: verbal, writing, reading and comprehension Strong analytical and communication skills Passion for delivering a positive customer experience, and maintain composure in difficult situations Ability to effectively and efficiently complete challenging goals or assignments within defined SLA PREFERRED QUALIFICATIONS Basic level of Excel knowledge Familiarity with online retail (e-commerce industry) Previous experience as AI trainers, knowledge of AI and NLP Experience with Artificial Intelligence interaction, such as prompt generation and open AI's Experience in content or editorial writing Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Job details IND, HR, Gurugram Editorial, Writing, & Content Management

Responsible to manage and coordinate client centric processes, liaising with multiple internal/ external stakeholders effectively to guide activities and troubleshoot challenges. Gather relevant dataset, evaluate for completeness and accuracy, and execute associated operational processes. Perform assigned responsibilities, including quality review for routine processes, assist in workflow management. Support new product initiatives, and re-engineering efforts. Accountable for issue identification, root cause analysis and recommending and executing viable solutions. Identify issues pro-actively, develop strategic and actionable solutions for complex issues in line with our core competencies, and established processes. Evaluate the broader impact of executing solutions and provide appropriate escalation when clients expectations are at risk or cannot be met. Obtain appropriate approvals and alignment from stakeholders and leaders for exception processes. Provide coordination across various internal and external stakeholders to ensure alignment and readiness for client facing events, product and business initiatives. Facilitate cross-functional discussions both internally and externally, offering subject matter expertise, including comprehensive understanding of upstream and downstream process impacts. Identify and drive issue resolution. Perform assigned daily and periodic processes to gather and dissemination of relevant data including quality review. Ensure all processes are performed in accordance with established procedures, practices and policies and within established service level standards. Perform review and approval processes for key or high-risk processes. Execute business initiatives, re-engineering efforts and product initiatives by developing procedures, workflows and performing user acceptance testing. Complete cross-functional expertise and serve as a backup resource to enhance team agility across all supported business operations. Complete retention of records, work and other information, following established procedures and policies. Required Knowledge/skills Solid understanding of portfolio accounting/investment operations activities. Strong written and verbal communication skills. Ability to recognize financial impacts and respond or escalate, as appropriate. Ability to take initiative and remain team player, act proactively, and think creatively. Ability to work independently following established policies and procedures. Must have good MS office skills viz. MS Excel, word, PPT, share point etc. Ability to work effectively under pressure, meeting deadlines, and managing multiple priorities. Ability to work with limited work direction and function effectively in a team environment. About Our Company Ameriprise India LLP has been providing client based financial solutions to help clients plan and achieve their financial objectives for 125 years. We are a U.S. based financial planning company headquartered in Minneapolis with a global presence. The firm’s focus areas include Asset Management and Advice, Retirement Planning and Insurance Protection. Be part of an inclusive, collaborative culture that rewards you for your contributions and work with other talented individuals who share your passion for doing great work. You’ll also have plenty of opportunities to make your mark at the office and a difference in your community. So if you're talented, driven and want to work for a strong ethical company that cares, take the next step and create a career at Ameriprise India LLP. Ameriprise India LLP is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, genetic information, age, sexual orientation, gender identity, disability, veteran status, marital status, family status or any other basis prohibited by law. Full-Time/Part-Time Full time Timings (4:45p-1:15a) India Business Unit AWMPO AWMP&S President's Office Job Family Group Mutual Fund Operations

Job Description: Position Title: Tier 1 Hosting Analyst Role Purpose As a part of the team, the Tier 1 Hosting Analyst partners with the Merkle business to make technology an asset for customers and employees, providing effective and timely solutions to technological requests and incidents. The Tier 1 Hosting Analyst should have previous experience with Helpdesk support and a strong drive to learn new Enterprise-class technologies. This role relies heavily on on-the-job training. The ideal candidate will thrive in a fast-paced environment and will possess the ability to self-start and logically prioritize workloads from multiple workstreams, while communicating progress or pitfalls. The candidate should be very detail-oriented with possession of advanced Excel skills as one of the primary responsibilities is to compile IT related financial data and communicate that out with accuracy. In addition, the ideal candidate should actively seek out new knowledge and skills, and will maintain consistent performance quality, avoiding repeat mistakes to learn and grow. Key Responsibilities: Responsible for monthly cost allocations for cloud environments to accurately distribute costs across the business based on standard operating procedures Update and conduct initial analyzation of IT cost center’s monthly financial dataset for internal management review Monitor and act on high-severity incidents and requests, meeting strict SLA/OLA requirements Escalate issues as defined in documented escalation procedures Follow incident/request management best practices Triage and support Windows and Linux server environments Provision/decommission servers following documented SOPs Process and troubleshoot access requests to various platforms through Active Directory and Okta Provide application support for Enterprise shared platforms (scheduling, managed file transfer, etc.) Perform server maintenance and patching both in-cycle and in response to urgent security vulnerabilities Continuously contribute to documentation in the Knowledge Base Consistently learn new systems and skills Uphold and promote dentsu’s core values and culture Other duties as required Key Skills and Experience: Analytical mindset, detail oriented Strong Excel experience with advanced functions with nesting in formulas (XLOOKUP, VLOOKUP, UNIQUE, SUMIF, IF(AND), MATCH(INDEX), etc.) Associates degree or higher in Information Technology, Computer Science, or related fields of study preferred 1 year of Helpdesk or customer service experience strongly preferred, bonus if ServiceNow was the ticketing platform used 1-3 years of experience with Enterprise technology support required, with a focus on Windows and Linux servers CompTIA A+, Security+, Network+, and AWS/GCP Cloud certifications preferred Basic understanding of Windows (Windows Server 2016 or higher) and Linux (RHEL/CentOS/Alma/etc.) Basic understanding of Enterprise data center concepts (server storage, networking, server administration) The ability to work independently with limited direct supervision, prioritizing tasks efficiently per established priority guidelines Exemplary etiquette with customers Clear English communication skills, both orally and in writing 24x7 Rotational shift. This is permanent role so end date is not applicable to this position. Location: DGS India - Mumbai - Thane Ashar IT Park Brand: Dentsu Time Type: Full time Contract Type: Permanent

About Arctan At Arctan, we’re solving a hard problem that matters: Eliminating communication barriers in Global conversations. Our AI product refines speech on the fly, adjusting accents and tonality, helping Customer Facing teams engage better with their customers and build rapport effortlessly across cultures. Role Overview As a Data Scientist, you will play a key role in improving and optimising the models that drive Arctan’s real-time speech AI. You’ll work on analysing, processing, and modelling data to make our systems smarter. Specifically, you’ll: Develop and fine-tune Speech to Speech machine learning models Experiment with data-driven solutions to enhance AI performance. Work on feature engineering and dataset preparation to train robust models. Collaborate with the team to evaluate and deploy models into production. What we’re looking for: Strong problem-solving skills, paired with a passion for learning. 1-3 years of experience in Data Science and related fields. Experience with speech processing or NLP. Proficiency in Python and familiarity with data science libraries. Understanding of machine learning frameworks (e.g., TensorFlow, PyTorch). Familiarity with working on datasets and data preprocessing techniques. Benefits And Perks: You’ll be joining an early stage startup building foundational Speech models Being a part of a small, high talent density team would accelerate your career growth You'll wear multiple hats, own meaningful projects, and build things that ship.

Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us . Job Description This is an individual contributor role responsible for driving portfolio analytics, portfolio health checks and long-term portfolio revenue projections for our internal pipeline assets. The right candidate should have extensive experience in presenting portfolio assessments to senior leadership, identifying potential gaps and associated interventions needed, and hands-on expertise to build excel-based capabilities from scratch and exposure to SQL/ VBA/Python/ and other coding/ reporting platforms. Key Responsibilities Portfolio Health Analysis: Conduct competitor concentration analysis by therapeutic indication using external datasets. Benchmark success rates versus modeled PTRS and conduct internal portfolio assessment vs. external perspective. Identify gaps, articulate findings for senior leadership for actionability and help junior members to understand broader context Asset Favorability Framework: Thought partner in developing and maintaining leadership dashboard capturing portfolio ranking across key variables of interest Long-Term Financial Planning (LTFP): Conduct early asset modeling for LTFP, including discrete models early-stage assets and conduct scenario analytics to derive range of possibilities given market dynamics Project and People Management: Operate as a project manager along with individual contributor role, managing competing priorities, work allocation, ensuring on-time delivery of projects, provide oversights and feedback to analysts, and participate in talent planning and year end reviews for the associates aligned to the team Collaborate with cross-functional teams to gather and analyze relevant data, market trends and historical performance Provide training, guidance and mentorship to junior analysts and team members as required Provide significant input into and communicate diplomatically regarding performance reviews, promotions and compensation actions for team members Strive to create standards for dataset usage through central repositories, cross team collaboration Skills and competencies: Strong analytical skills and experience in conducting portfolio analytics for pharmaceutical MNC SME in therapeutic area assessments, financial planning process and commercial forecasting for easy-stage assets Strong verbal/written skills, with the ability to effectively communicate with senior leadership Strong project management and interpersonal skills, with the ability to lead diverse teams and manage a heavy workload Strong creative problem-solving skills and business acumen, with the ability to identify key findings from disparate data sources to provide recommendations Ability to work in matrix organization Experience: We welcome a bachelor's or master's (MBA preferred; quantitative area) 10+ years pharmaceutical commercial analytics or forecasting experience Experience operating successfully in a complex organizational environment Experience interacting with senior management, understanding, anticipating, and fulfilling their insight/ analytical information requirements Hands-on expertise in pharmaceutical forecasting, portfolio and commercial analytics, deep understanding of therapeutic areas, expertise in modeling platforms, Advanced Excel & VBA , data manipulation software and visualization tools (e.g. Tableau,, Python, SQL, PowerBI, etc.) Expertise on few of the datasets (Visible Alpha, ProSight, Evaluate Pharma, DRG, Biodmedtracker, IQVIA, Pharmaprojects, Alpha sense) will be a plus If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as Transforming patients' lives through science™ , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. On-site Protocol Responsibilities BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Job Title: Lead SME – Business Intelligence (DOMO BI) Location: Remote (India-based) / Hybrid (office in Gurgaon or Bangalore) Job Type: Full-time Band : C1/C2 Role Overview We are seeking a highly skilled and experienced Lead BI SME (Subject Matter Expert) in DOMO BI to lead a strategic BI assessment and transformation initiative. The client currently uses DOMO BI as their primary tool, and the role involves evaluating its usage, optimizing its setup including ETL pipelines , rationalizing dashboards, and assessing readiness for potential migration. The ideal candidate will act as an individual contributor and thought leader . Key Responsibilities DOMO BI Core skills DOMO Platform Setup & Administration - Proficient in configuring DOMO instances, managing user roles and permissions, setting up data governance policies, and integrating with enterprise identity providers (SSO, LDAP). Data Integration & ETL Development -Skilled in connecting to diverse data sources (cloud, on-prem, APIs), building and optimizing ETL pipelines using DOMO Magic ETL and SQL transforms, and ensuring data quality and refresh reliability. Dashboard & App Development - Expertise in designing interactive dashboards and custom apps using DOMO Cards, Pages, and DDX Bricks, aligned with business KPIs and user personas. Performance Optimization & Governance - Experience in monitoring data pipeline performance, managing dataset sizes, implementing naming conventions, and enforcing dashboard lifecycle and version control best practices. BI Assessment & Strategy Evaluate the current usage and configuration of DOMO BI including data sources, ETL pipelines, and user access. Identify gaps, inefficiencies, and opportunities for optimization. Define best practices for dashboard development, data governance, and user adoption. Review the setup and configuration of DOMO BI including data connectors, dataflows, and ETL pipelines. Optimize data ingestion and transformation processes within DOMO. Ensure data quality, performance, and scalability of DOMO solutions. Provide comparative analysis between DOMO and other BI tool capabilities. Dashboard Inventory & Rationalization Inventory and classify existing dashboards. Recommend dashboards for retirement, consolidation, or enhancement. Establish a framework for ongoing dashboard lifecycle management. Assess the feasibility and value of transitioning to other BI tools Define a roadmap for migration including architecture, data modeling, and training. Stakeholder Engagement & Thought Leadership Collaborate with business and technical stakeholders to gather requirements and share insights. Present findings, recommendations, and roadmaps to senior leadership. Stay current with BI trends, tools, and methodologies. Mentor internal teams and contribute to knowledge sharing. Requirements Education Bachelor’s degree in Engineering, Computer Science, Information Systems, or related field (B.Tech preferred). Advanced certifications in BI tools (DOMO, Power BI) are a plus. Experience 8+ years of experience in Business Intelligence and Data Analytics. 3+ years of hands-on experience with DOMO BI including setup, ETL, and dashboard development. Strong experience with Power BI including DAX, Power Query, and data modeling. Proven track record of leading BI assessments and tool rationalization projects. Skills Deep understanding of BI architecture, data integration, and visualization best practices. Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Ability to work independently in a remote, cross-functional environment.

Responsible to manage and coordinate client centric processes, liaising with multiple internal/ external stakeholders effectively to guide activities and troubleshoot challenges. Gather relevant dataset, evaluate for completeness and accuracy, and execute associated operational processes. Perform assigned responsibilities, including quality review for routine processes, assist in workflow management. Support new product initiatives, and re-engineering efforts. Accountable for issue identification, root cause analysis and recommending and executing viable solutions. Identify issues pro-actively, develop strategic and actionable solutions for complex issues in line with our core competencies, and established processes. Evaluate the broader impact of executing solutions and provide appropriate escalation when clients expectations are at risk or cannot be met. Obtain appropriate approvals and alignment from stakeholders and leaders for exception processes. Provide coordination across various internal and external stakeholders to ensure alignment and readiness for client facing events, product and business initiatives. Facilitate cross-functional discussions both internally and externally, offering subject matter expertise, including comprehensive understanding of upstream and downstream process impacts. Identify and drive issue resolution. Perform assigned daily and periodic processes to gather and dissemination of relevant data including quality review. Ensure all processes are performed in accordance with established procedures, practices and policies and within established service level standards. Perform review and approval processes for key or high-risk processes. Execute business initiatives, re-engineering efforts and product initiatives by developing procedures, workflows and performing user acceptance testing. Complete cross-functional expertise and serve as a backup resource to enhance team agility across all supported business operations. Complete retention of records, work and other information, following established procedures and policies. Required Knowledge/skills Solid understanding of portfolio accounting/investment operations activities. Strong written and verbal communication skills. Ability to recognize financial impacts and respond or escalate, as appropriate. Ability to take initiative and remain team player, act proactively, and think creatively. Ability to work independently following established policies and procedures. Must have good MS office skills viz. MS Excel, word, PPT, share point etc. Ability to work effectively under pressure, meeting deadlines, and managing multiple priorities. Ability to work with limited work direction and function effectively in a team environment. About Our Company Ameriprise India LLP has been providing client based financial solutions to help clients plan and achieve their financial objectives for 125 years. We are a U.S. based financial planning company headquartered in Minneapolis with a global presence. The firm’s focus areas include Asset Management and Advice, Retirement Planning and Insurance Protection. Be part of an inclusive, collaborative culture that rewards you for your contributions and work with other talented individuals who share your passion for doing great work. You’ll also have plenty of opportunities to make your mark at the office and a difference in your community. So if you're talented, driven and want to work for a strong ethical company that cares, take the next step and create a career at Ameriprise India LLP. Ameriprise India LLP is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, genetic information, age, sexual orientation, gender identity, disability, veteran status, marital status, family status or any other basis prohibited by law. Full-Time/Part-Time Full time Timings (4:45p-1:15a) India Business Unit AWMPO AWMP&S President's Office Job Family Group Mutual Fund Operations

JOB PROFILE General Job Title: Associate I Job Grade: JL-7 (Medical Safety 7.01) Department: Product Quality Surveillance & Customer Affairs Reports to (Name & Job Title): Manager I Global Device Vigilance Job Purpose (State in one sentence the overall objective of the job) The role provides day-to-day case monitoring, assessment and reporting of quality and adverse event complaint records involving Alcon manufactured products and responds to complaint activities required to comply with local and international regulations, guidelines, and applicable directives. This role may be required to work in shifts. Major Accountabilities (Describe the main results of the job to be achieved) Case Processing: Process case files according to Standard Operating Procedures (SOP). Work with affiliate offices to ensure required dataset has been received/requested. Re-assess the data, ensure accurate product selection and assign required event code(s) in the system. Complete initial and follow-up reporting assessments as information is received (initial report, follow-up questionnaires, phone calls, investigation findings). Respond to Manufacturing Quality Assurance (QA) requests and Health Authority inquiries Launch required quality investigation records. Schedule expedited and periodic regulatory reports based on local and international reporting regulations. Perform and receive quality feedback on case management and coding. Adherence to all corporate compliance guidelines & corporate programs. Maintains a working knowledge of the following: Alcon Products for assigned therapeutic areas and corresponding documentation (Product Information, Directions for Use, Manuals, Promotional materials) Eye anatomy Common diseases Ophthalmic evaluation procedures Eye terminology and abbreviations Safety database(s) and reporting tools Process and review Surgical – Intra Ocular Lens (IOL) complaint records in accordance with Alcon Standard Operating Procedures (SOPs) Provide support in reconciliation activities and audit as required. Evaluate and escalate potential safety issues to management. Role Dimensions: Number of associates: None Financial responsibility: None Impact on the organization: Low Key Performance Indicators (Indicate how performance will be measured: indicators, activities…) KPIs will be outlined in detail in the goal sheet, and will largely be around below parameters: Meets internal and external quality standards Review and close files within prescribed timelines Creates high quality regulatory reports for submission on or before assigned due dates Ideal Background (State the minimum and desirable education and experience level) Education Minimum: Graduation in Science Desirable: Graduation in Optometry/ Pharmacy/M. Pharm/B. Pharm /BDS/BAMS/BHMS/ Biomedical Engineering / Registered Nurse Experience requirement: Minimum: Healthcare professional with 1-2 years of experience Desirable: Experience in Device Vigilance / Pharmacovigilance / Regulatory Submissions / Clinical Research / PVPI/ Medical Coding Languages: Minimum: English (written and spoken) Specific Professional Competencies: Indicate any other soft/technical/professional knowledge and skills requirements Excellent listening ability and communication skills Excellent decision quality and negotiation skills Ability to manage multiple tasks, attention to detail, prioritize work and manage time well Knowledge and understanding of national and international medical device regulations and regulatory guidelines Knowledge of medical aspects of medical device safety, medical device vigilance in pre- and post-marketing safety practice Basic knowledge of MS Office Associate Name SAP ID Signature Date HR SPOC ATTENTION: Current Alcon Employee/Contingent Worker If you are currently an active employee/contingent worker at Alcon, please click the appropriate link below to apply on the Internal Career site. Find Jobs for Employees Find Jobs for Contingent Worker Alcon is an Equal Opportunity Employer and takes pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital status, disability, or any other reason.

Description Enphase Energy is a global energy technology company and a leading provider of solar, battery, and electric vehicle charging products. Founded in 2006, our innovative microinverter technology revolutionized solar power, making it a safer, more reliable, and scalable energy source. Today, the Enphase Energy System enables users to make, use, save, and sell their own power. Enphase is also one of the most successful and innovative clean energy companies in the world, with more than 80 million products shipped across 160 countries. Join our dynamic teams designing and developing next-gen energy technologies and help drive a sustainable future! About The Role The Sr. Data Scientist will be responsible for analyzing product performance in the fleet. Provides support for the data management activities of the Quality/Customer Service organization. Collaborates with Engineering/Quality/CS teams and Information Technology. What You Will be doing Strong understanding of industrial processes, sensor data, and IoT platforms, essential for building effective predictive maintenance models Experience translating theoretical concepts into engineered features, with a demonstrated ability to create features capturing important events or transitions within the data Expertise in crafting custom features that highlight unique patterns specific to the dataset or problem, enhancing model predictive power. Ability to combine and synthesize information from multiple data sources to develop more informative features Advanced knowledge in Apache Spark (PySpark, SparkSQL, SparkR) and distributed computing, demonstrated through efficient processing and analysis of large-scale datasets. Proficiency in Python, R, and SQL, with a proven track record of writing optimized and efficient Spark code for data processing and model training Hands-on experience with cloud-based machine learning platforms such as AWS SageMaker and Databricks, showcasing scalable model development and deployment Demonstrated capability to develop and implement custom statistical algorithms tailored to specific anomaly detection tasks Proficiency in statistical methods for identifying patterns and trends in large datasets, essential for predictive maintenance. Demonstrated expertise in engineering features to highlight deviations or faults for early detection. Proven leadership in managing predictive maintenance projects from conception to deployment, with a successful track record of cross-functional team collaboration Experience extracting temporal features, such as trends, seasonality, and lagged values, to improve model accuracy. Skills in filtering, smoothing, and transforming data for noise reduction and effective feature extraction Experience optimizing code for performance in high-throughput, low-latency environments. Experience deploying models into production, with expertise in monitoring their performance and integrating them with CI/CD pipelines using AWS, Docker, or Kubernetes Familiarity with end-to-end analytical architectures, including data lakes, data warehouses, and real-time processing systems Experience creating insightful dashboards and reports using tools such as Power BI, Tableau, or custom visualization frameworks to effectively communicate model results to stakeholders 6+ years of experience in data science with a significant focus on predictive maintenance and anomaly detection Who You Are And What You Bring Bachelor’s or Master’s degree/ Diploma in Engineering, Statistics, Mathematics or Computer Science 6+ years of experience as a Data Scientist Strong problem-solving skills Proven ability to work independently and accurately