41 Data Exploration Jobs - Page 2

Should have 6+ years of exp in Apache Superset for data exploration and visualisation exp in Apache Beam and Flink for data pipeline /ETL exp in Apache Airfow DAGS (collection of executions task) Good to have knowledge in any SQL/Mongo DB/Postgress

Greetings from the IdesLabs, Urgent Requirement for SAP BO Developer. Experience :5 Years Location :Pan India. 5+ years of experience in SAP Business Objects (SAP BO) Solid experience in design and development of Business Objects dashboard and reporting tools Should have proven experience in Business objects (BI 4.0) Dashboard Tools Should have experience in Integration of BI 4.0 with SAP BW and SAP ECC Expertise in Data Discovery and Advanced Visualization concepts Translate business requirements into efficient visualizations and reporting Capability to enable users to interact with the data and develop their own data insights using BO Candidate should have excellent communication and facilitation skills.

PROFESSIONAL REQUIREMENTS: Ability to work in an agile environment Experience in Banking, Finance or Insurance is a requirement . Experience in Re-insurance & Catastrophe are a plus Good analytical capabilities Experience using programming languages and database technologies is an advantage Ability to manage customers in a dynamically changing environment Understanding complex business scenarios using professional analytical skills Academic Background: Bachelor's degree in Computer Science Economics or related quantitative field English language proficiency required German language skills are a plus Self-driven, autonomous, with ability to work closely with other business analysts, architects and development team to work towards quality product rollout Experience dealing with complex systems: real time, operational, analytical (interacting with and specifications definition for these systems is included) Demonstrated experience with software development life cycle methodologies, including agile Worked in environments that demand fast paced effective delivery under tight timelines Data access, data exploration, SQL, etc. for interacting with data Working with APIs is a good plus - needed for interaction with data and systems Confluence for documentation, specifications etc. JIRA BDD template

Responsibilities : Data Exploration and Insights : - Conduct continuous data exploration and analysis to identify opportunities for enhancing data matching logic, including fuzzy logic, and improving overall data quality within the SCI solution. - This includes working with large datasets from various sources, including Excel files and databases. Data Quality Improvement : - Perform various analyses specifically aimed at improving data quality within the SCI system. - This will involve identifying data quality issues, proposing solutions, and implementing improvements. Weekly Playback and Collaboration : - Participate in weekly playback sessions, using Jupyter Notebook to demonstrate data insights and analysis. - Incorporate new explorations and analyses based on feedback from the working group and prioritized tasks. Project Scaling and Support : - Contribute to the scaling of the SCI project by supporting data acquisition, cleansing, and validation processes for new markets. - This includes pre-requisites for batch ingestion and post-batch ingestion analysis and validation of SCI records. Data Analysis and Validation : - Perform thorough data analysis and validation of SCI records after batch ingestion. - Proactively identify insights and implement solutions to improve data quality. Stakeholder Collaboration : - Coordinate with business stakeholders to facilitate the manual validation of records flagged for manual intervention. - Communicate findings and recommendations clearly and effectively. Technical Requirements : - 5+ years of experience as a Data Scientist. - Strong proficiency in Python and SQL. - Extensive experience using Jupyter Notebook for data analysis and visualization. - Working knowledge of data matching techniques, including fuzzy logic. - Experience working with large datasets from various sources (Excel, databases, etc. - Solid understanding of data quality principles and methodologies. Skills : - SQL - Machine Learning (While not explicitly required in the initial description, it's a valuable skill for a Data Scientist and should be included) - Data Analysis - Jupyter Notebook - Data Cleansing - Fuzzy Logic - Python - Data Quality Improvement - Data Validation - Data Acquisition - Communication and Collaboration - Problem-solving and Analytical skills Preferred Qualifications (Optional, but can help attract stronger candidates) : - Experience with specific data quality tools and techniques. - Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP). - Experience with data visualization tools (e.g., Tableau, Power BI). - Knowledge of statistical modeling and machine learning algorithms.

Are you ooking to sove hard probems and enjoy working with teammates with diverse perspectivesIf so, we woud ove to hep you exce here at Kensho. About The Team Kenshos Appications group deveops the web apps and APIs that deiver Kenshos AI capabiities to our customers. Our teams are sma, product-focused, and intent on shipping high-quaity code that best everages our efforts. Were coegia, humbe, and inquisitive, and we deight in earning from teammates with backgrounds, skis, and interests different from our own. Kensho Link team, within the Appications Department, is a machine earning service that aows users to map entities in their datasets with unique entities drawn from S&P Gobas word-cass company database with precision and speed. Link started as an interna Kensho project to hep S&P Goba Market Inteigence Team to integrate datasets more quicky into their patform. It uses ML based agorithms trained to return high quaity inks, even when the data inputs are incompete or contain errors. In simpe words, Kenshos Link product heps in connecting the disconnected information about a company at one pace and it does so with scae. Link everages a variety of NLP and ML techniques to process and ink miions of company entities in hours. About The Roe As a Senior Backend Engineer you wi deveop reiabe, secure, and performant APIs that appy Kenshos AI capabiities to specific customer workfows. You wi coaborate with coeagues from Product, Machine Learning, Infrastructure, and Design, as we as with other engineers within Appications. You have a demonstrated capacity for depth, and are comfortabe working with a broad range of technoogies. Your verba and written communication is proactive, efficient, and incusive of your geographicay-distributed coeagues. You are a thoughtfu, deiberate technoogist and share your knowedge generousy. Equivaent to Grade 11 Roe (Interna) You wi Design, deveop, test, document, depoy, maintain, and improve software Manage individua project priorities, deadines, and deiverabes Work with key stakehoders to deveop system architectures, API specifications, impementation requirements, and compexity estimates Test assumptions through instrumentation and prototyping Promote ongoing technica deveopment through code reviews, knowedge sharing, and mentorship Optimize Appication ScaingEfficienty scae ML appications to maximize compute resource utiization and meet high customer demand. Address Technica DebtProactivey identify and propose soutions to reduce technica debt within the tech stack. Enhance User ExperiencesCoaborate with Product and Design teams to deveop ML-based soutions that enhance user experiences and aign with business goas. Ensure API security and data privacy by impementing best practices and compiance measures. Monitor and anayze API performance and reiabiity, making data-driven decisions to improve system heath. Contribute to architectura discussions and decisions, ensuring scaabiity, maintainabiity, and performance of the backend systems. Quaifications At east 5+ years of direct experience deveoping customer-facing APIs within a team Thoughtfu and efficient communication skis (both verba and written) Experience deveoping RESTfu APIs using a variety of toos Experience turning abstract business requirements into concrete technica pans Experience working across many stages of the software deveopment ifecyce Sound reasoning about the behavior and performance of oosey-couped systems Proficiency with agorithms (incuding time and space compexity anaysis), data structures, and software architecture At east one domain of demonstrabe technica depth Famiiarity with CI/CD practices and toos to streamine depoyment processes. Experience with containerization technoogies (e.g., Docker, Kubernetes) for appication depoyment and orchestration. Technoogies We Love Python, Django, FastAPI mypy, OpenAPI RabbitMQ, Ceery, Kafka OpenSearch, PostgreSQL, Redis Git, Jsonnet, Jenkins, Docker, Kubernetes Airfow, AWS, Terraform Grafana, Prometheus ML LibrariesPyTorch, Scikit-earn, Pandas Whats In It For You Our Purpose: Progress is not a sef-starter. It requires a catayst to be set in motion. Information, imagination, peope, technoogythe right combination can unock possibiity and change the word.Our word is in transition and getting more compex by the day. We push past expected observations and seek out new eves of understanding so that we can hep companies, governments and individuas make an impact on tomorrow. At S&P Goba we transform data into Essentia Inteigence, pinpointing risks and opening possibiities. We Acceerate Progress. Our Peope: Our Vaues: Integrity, Discovery, Partnership At S&P Goba, we focus on Powering Goba Markets. Throughout our history, the word's eading organizations have reied on us for the Essentia Inteigence they need to make confident decisions about the road ahead. We start with a foundation of integrity in a we do, bring a spirit of discovery to our work, and coaborate in cose partnership with each other and our customers to achieve shared goas. Benefits: We take care of you, so you cantake care of business. We care about our peope. Thats why we provide everything youand your careerneed to thrive at S&P Goba. Heath & WenessHeath care coverage designed for the mind and body. Continuous LearningAccess a weath of resources to grow your career and earn vauabe new skis. Invest in Your FutureSecure your financia future through competitive pay, retirement panning, a continuing education program with a company-matched student oan contribution, and financia weness programs. Famiy Friendy PerksIts not just about you. S&P Goba has perks for your partners and itte ones, too, with some best-in cass benefits for famiies. Beyond the BasicsFrom retai discounts to referra incentive awardssma perks can make a big difference. For more information on benefits by country visit Incusive Hiring and Opportunity at S&P Goba: At S&P Goba, we are committed to fostering an incusive workpace where a individuas have access to opportunities based on their skis, experience, and contributions. Our hiring practices emphasize fairness, transparency, and equa opportunity, ensuring that we attract and retain top taent. By vauing different perspectives and promoting a cuture of respect and coaboration, we drive innovation and power goba markets. ----------------------------------------------------------- Equa Opportunity Empoyer S&P Goba is an equa opportunity empoyer and a quaified candidates wi receive consideration for empoyment without regard to race/ethnicity, coor, reigion, sex, sexua orientation, gender identity, nationa origin, age, disabiity, marita status, miitary veteran status, unempoyment status, or any other status protected by aw. Ony eectronic job submissions wi be considered for empoyment. If you need an accommodation during the appication process due to a disabiity, pease send an emai to and your request wi be forwarded to the appropriate person. US Candidates Ony The EEO is the Law Poster describes discrimination protections under federa aw. Pay Transparency Nondiscrimination Provision - -----------------------------------------------------------

Greetings from Cognizant!!! We are hiring for Permanent Position with Cognizant. Experience:- 3 - 12 Yrs. Mandatory to have experience in TDM, GenRocket, Delphix, Informatica. Work Location: Pan India Interview Mode : ( Virtual ) Interview Date : Weekday & Weekend JD: Job Summary Strong Test Data Manager with hands on Test Data experience preferably in TDM consultancy and Implementation of TDM tool Thorough understanding of Test Data Management hands on experience Data Generation Masking Profiling Experience in enterprise level TDM solutioning and implementation Experience in client facing roles and good stakeholder management Prefer experience in Google Cloud or Cloud Test Data handling Responsibilities Strong Test Data Manager with hands on Test Data experience preferably in TDM consultancy and Implementation of TDM tool Thorough understanding of Test Data Management hands on experience Data Generation Masking Profiling Experience in enterprise level TDM solutioning and implementation Experience in client facing roles and good stakeholder management.

We are seeking an experienced and highly skilled Senior Data Scientist to drive data-driven decision-making and innovation. In this role, you will leverage your expertise in advanced analytics, machine learning, and big data technologies to solve complex business challenges. You will be responsible for designing predictive models, building scalable data pipelines, and uncovering actionable insights from structured and unstructured datasets. Collaborating with cross-functional teams, your work will empower strategic decision-making and foster a data-driven culture across the organization. Role & responsibilities 1. Data Exploration and Analysis: Collect, clean, and preprocess large and complex datasets from diverse sources, including SQL databases, cloud platforms, and APIs. Perform exploratory data analysis (EDA) to identify trends, patterns, and relationships in data. Develop meaningful KPIs and metrics tailored to business objectives. 2. Advanced Modeling and Machine Learning: Design, implement, and optimize predictive and prescriptive models using statistical techniques and machine learning algorithms. Evaluate model performance and ensure scalability and reliability in production. Work with both structured and unstructured data for tasks such as text analysis, image processing, and recommendation systems. 3. Data Engineering and Automation: Build and optimize scalable ETL pipelines for data processing and feature engineering. Collaborate with data engineers to ensure seamless integration of data science solutions into production environments. Leverage cloud platforms (e.g., AWS, Azure, GCP) for scalable computation and storage. 4. Data Visualization and Storytelling: Communicate complex analytical findings effectively through intuitive visualizations and presentations. Create dashboards and visualizations using tools such as Power BI, Tableau, or Python libraries (e.g., Matplotlib, Seaborn, Plotly). Translate data insights into actionable recommendations for stakeholders. 5. Cross-functional Collaboration and Innovation: Partner with business units, product teams, and data engineers to define project objectives and deliver impactful solutions. Stay updated with emerging technologies and best practices in data science, machine learning, and AI. Contribute to fostering a data-centric culture within the organization by mentoring junior team members and promoting innovative approaches. Preferred candidate profile Proficiency in Python, R, or other data science programming languages. Strong knowledge of machine learning libraries and frameworks (e.g., Scikit-learn, Tensor Flow, PyTorch). Advanced SQL skills for querying and managing relational databases. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP), preferably MS Azure. Familiarity with data visualization tools such as Power BI, Tableau, or equivalent, preferably MS Power BI. Analytical and Problem-solving Skills: Expertise in statistical modeling, hypothesis testing, and experiment design. Strong problem-solving skills to address business challenges through data-driven solutions. Ability to conceptualize and implement metrics/KPIs tailored to business needs. Soft Skills: Excellent communication skills to translate complex technical concepts into business insights. Collaborative mindset with the ability to work in cross-functional teams. Proactive and detail-oriented approach to project management and execution. Education and Experience: Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. 8+ years of experience in data science, advanced analytics, or a similar field. Proven track record of deploying machine learning models in production environments. Perks & Benefits Best as per market standard. Work from home opportunity. 5 days working. Shift Timing 2PM-11PM IST (Flexible hours)

Informatica TDM 1. Data Discovery, Data Subset and Data Masking 2. Data generation 3. Complex masking and genration rule creation 4. Performance tunning for Inoformatica Mapping 5. Debugging with Informatica power center 6. Data Migration Skills and Knowledge 1. Informatica TDM development experiance in Data masking, discovery, Data subsetting and Data Generation is must 2. Should have experiance in working with flat file, MS SQL, Oracle and Snowflake 3. Debugging using Inofmratica Power center 4. Experiance in Tableau will be added advantage 5. Should have basic knowledge about IICS" 6. Must have and Good to have skills Informatica TDM, SQL, Informatica Powercenter, GDPR

Overview We have an exciting opportunity for an Data Privacy Specialist. This role is dedicated to protecting data and operational integrity across the Omnicom global footprint, enhancing client trust, and reducing enterprise risk. The Data Privacy Specialist will manage data protection and privacy components of the broader security program. Working across Legal, IT, client, and partner ecosystems, this role ensures the implementation and enforcement of global data privacy standards in a business-centric manner. You will help enable safe and compliant services across Omnicom’s network by embedding privacy principles into processes and technologies. Responsibilities Oversee and implement global data privacy and protection standards across Omnicom’s operations. Lead or support cross-functional efforts with Legal, IT, vendors, and clients to manage data protection initiatives. Provide subject matter guidance on global privacy laws and frameworks (e.g., GDPR, CCPA, DPDP). Ensure privacy-by-design practices are embedded into systems, products, and operations. Support data privacy risk assessments, data subject access requests, privacy incidents, audits, and gap analyses to improve the control environment. Manage operational privacy program elements such as consent, access rights, and data lifecycle governance. Drive an enterprise-wide rollout of a centralized privacy management system Apply information security and data privacy policies, procedures, and practices to support the application of published industry standards at Omnicom Monitor regulatory developments and recommend updates to policies or controls as needed. Qualifications 3–5 years of experience in data privacy or data protection. Strong knowledge of global privacy frameworks such as GDPR, CCPA, and emerging data protection laws. Experience in applying privacy principles in a business and client-facing context. Demonstrated ability to coordinate across multiple departments and stakeholders. Excellent analytical and communication skills; ability to translate legal/privacy requirements into business-friendly solutions. Understanding of privacy risk, impact assessments, and data lifecycle management. A self-starter with strong organizational skills Demonstrated ability to manage multiple projects under strict timelines independently, as well as the ability to work well in a demanding, dynamic environment and meet program objectives Preferred Qualifications Certifications such as CIPP/E, CIPM, or equivalent. Experience working in marketing, media, or digital services industries. Familiarity with data discovery, mapping, or GRC tools supporting privacy programs.

About Us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Pyramid Overview As a Sr Engineer in Data Sciences , y ou will play crucial role in designing, implementing, and optimizing the AI solutions in production. Additionally, you ll apply best practices in software design, participate in code reviews, create a maintainable well-tested codebase with relevant documentation. We will look to you to understand and actively follow foundational programming principles (best practices, know about unit tests, code organization, basics of CI/CD etc.) and create a well-maintainable & tested codebase with relevant documentation. You will get the opportunity to develop in one or more approved programming languages (Java, Scala, Python, R), and learn and adhere to best practices in data analysis and data understanding. Team Overview The Competitive Intelligence Data Sciences team at Target builds Data Science models in service of leveraging competitive information for various decisioning . The team plays a crucial role in helping Target stay competitive across various business functions. Position Overview For this specific role, you will be responsible for deploying and maintaining language models i n partnership with the cross functional technology team that spans across Product engineering, Data engineering & Data analytics . You will need to diagnose model performance, review summary statistics and iteratively improve the quality of the downstream decisions. About You: 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience 4 plus years of experience in end-to-end application development, data exploration, data pipelining, API design, optimization of model latency Strong expertise in working with text data, embeddings, building & deploying NLP solutions and integrating with LLM services Expertise in MLOps frameworks and hands on experience in MLOps tools 2 plus years of experience building and deploying AI/ML algorithms into production environments - including model and system monitoring and troubleshooting Highly proficient in programming with Spark (Python and/or Scala) Good understanding of Big Data and Distributed Architecture- specifically Hadoop, Hive, Spark, Docker, Kubernetes and Kafka Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives Self-driven and results oriented; able to meet tight timelines Strong team player with ability to collaborate effectively across global team Understanding of retail industry is added advantage Bonus Points: Experience with Deep Learning frameworks TensorFlow, Pytorch or Keras Experience developing highly distributed AI/ML systems at scale Experience with Vertex AI Experience in mentoring the junior team members ML skillset and career development Experience in handling streaming data and setting up real-time services Know More about Us here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits https://india.target.com/life-at-target/belonging

Job Information Job Opening ID ZR_1661_JOB Date Opened 17/12/2022 Industry Technology Job Type Work Experience 6-10 years Job Title Informatica TDM Developer City Pune Province Maharashtra Country India Postal Code 411001 Number of Positions 4 LocationPune, Bangalore, Hyderabad Informatica TDM 1. Data Discovery, Data Subset and Data Masking 2. Data generation 3. Complex masking and genration rule creation 4. Performance tunning for Inoformatica Mapping 5. Debugging with Informatica power center 6. Data Migration Skills and Knowledge 1. Informatica TDM development experiance in Data masking, discovery, Data subsetting and Data Generation is must 2. Should have experiance in working with flat file, MS SQL, Oracle and Snowflake 3. Debugging using Inofmratica Power center 4. Experiance in Tableau will be added advantage 5. Should have basic knowledge about IICS" 6. Must have and Good to have skills Informatica TDM, SQL, Informatica Powercenter, GDPR check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Job Responsibilities: Build and manage detailed resource and financial baselines for key initiatives and functions Support the development of value ambition (robust cases) Conduct analyses for value confirmation as an outcome of detailed design and elevate value risks to leadership Support the management of deviations against the approved case and assist in value reconciliation Analyze workforce data to identify areas of opportunity and support resource optimization across functions Build and optimize data models across the value journey, drive data collection and integration for operational insights Collaborate with cross-functional global teams to ensure accurate insights delivery, operating in the following-the-sun model Interact with various finance and resource planning groups across Amgen to understand impact to budget/long range plans What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Doctorate degree and 2 to 4 years of Data Analytics / Finance OR Masters degree and 4 to 6 years of applicable experience OR Bachelors degree and 6 to 8 years of data science, finance, business, statistics, applied mathematics, business analytics, engineering, computer science or related field experience OR Diploma and 10 to 12 years of Data Analytics, Science & Technology Management or Finance experience Proficiency in financial modeling (Excel), data analytics and business intelligence tools Passion for data exploration & visualization and building narratives to drive data-driven business transformation Intellectual curiosity, with ability to learn new concepts, and methods Experience working in highly collaborative cross-functional environments Understanding of financial data and systems Preferred Qualifications: Masters degree in finance, data science, business, sciences statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field, or Chartered Accountant and 4 years of relevant experience in consulting and/or financial planning & analysis (MBA Preferred) Mastery of complex financial modeling (Excel) Understanding of global Finance, HR & Procurement systems and data Understanding of HR/Procurement/Global Sourcing operations Experience in budgeting, forecasting, and strategic planning Understanding of impacts of business decisions to financial statements (P&L, B/S, Cash Flow) Prior multinational corporate experience (capability center or other) Experience with Oracles Hyperion/EPM, SAP, Anaplan, PowerBI / Tableau Familiar with scripting languages like SQL or Python, and AWS services like S3 and Redshift Experience with data analysis, data modeling, and data visualization solutions such as Tableau, Alteryx, Databricks, PowerBI Experience working with business partners to identify complex functionality and translate it into requirements Experience in financial planning, analysis, and reporting, ERP systems and financial software Soft Skills: Effective communication and people skills Elevated level of integrity and ethical standards Problem-solving and critical thinking capabilities Adaptability to a dynamic and challenging environment

Key Responsibilities Model Development: Design, build, and optimize supervised, unsupervised, and deep learning models for various business problems. Data Exploration & Feature Engineering: Clean, transform, and analyze structured and unstructured data; identify significant features. AI Integration: Develop end-to-end AI pipelines and integrate models into production systems using APIs or deployment frameworks. Collaboration: Work closely with product managers, domain experts, and engineers to understand requirements and translate them into data science solutions. Evaluation & Reporting: Track model performance (e.g., RMSE, F1 score, ROC AUC), and prepare technical documentation and reports. Research & Innovation: Stay up to date with latest AI/ML techniques (e.g., LLMs, transformers, reinforcement learning) and propose innovative applications. Key Skills & Qualifications Bachelors or Masters degree in Computer Science, Statistics, Mathematics, Data Science, or related field 4-6 years of hands-on experience in: Python, R, SQL Machine Learning frameworks (e.g., Scikit-learn, XGBoost, LightGBM) Deep Learning (e.g., TensorFlow, PyTorch, Keras) Data manipulation and visualization (e.g., Pandas, NumPy, Matplotlib, Seaborn) Model deployment tools (e.g., Flask, FastAPI, Docker, MLflow) Experience with cloud platforms (AWS/GCP/Azure) and MLOps tools Familiarity with large-scale data processing (e.g., Spark, Dask) is a plus Exposure to NLP, computer vision, or generative AI (OpenAI, Hugging Face, LangChain) is highly desirable. Strong analytical and communication skills. Nice to Have Experience in industry-specific AI applications (e.g., fintech, healthcare, retail) Contribution to open-source projects or ML competitions (e.g., Kaggle) Certifications in Data Science / AI from recognized platforms. Preferred candidate profile We are seeking a highly skilled and results-driven Data Scientist / AI Specialist to join our data and AI team. You will be responsible for developing and deploying advanced machine learning and AI models to solve business problems, drive data-based decision-making, and support AI-driven product development. What We Offer A dynamic and collaborative work environment Opportunities to work on cutting-edge AI/ML projects Flexible work arrangements Competitive compensation and performance bonuses Continuous learning support through training and certifications.

What you will do In this vital role you will be a member of the Transformation Analytics team, supporting Amgens Technology & Workforce Strategy. We are seeking a highly motivated individual who will demonstrate financial and data analytics with critical thinking to enable enterprise-wide workforce transformation by connecting data across our people, finances and capabilities to enable business insights and decisions. You will be responsible to deliver critical analytics and insights throughout the value journey, including developing resource, financial and capability baselines, developing taxonomies, analytics data packs, cases, value confirmation and value realization. In addition, you will collaborate with our Technology teams to support ongoing automation and continuous improvement. Ultimately, you will be part of the team that enables the development of a sustainable platform for ongoing transformation. The ideal candidate will demonstrate their analytical acumen to challenge the status quo, drive continuous improvement, and embed digital ways of working into our end-to-end processes. Support deliverables for workforce strategy : Support financial and data analyses across baselining, case, value confirmation, value extraction and value realization. Collaborate with cross-functional global teams to ensure accurate analytics and insights delivery operating in the "following-the-sun" model Activity-Based Cost Analysis : Support analyses of total workforce spend and allocation. Recommend strategic cost-saving initiatives and optimizations based on analysis findings. Vendor Analysis : Support the evaluation of vendor performance and impact on organizational efficiency. Develop strategies for vendor optimization and cost management. Opportunity Analysis : Support identifying and prioritizing areas of opportunity across the organization. Collaborate with cross-functional teams to implement organizational improvements. System Updates & Scenario Modeling : Build and optimize data and financial models that support key processes across the value journey of our transformation. Help ensure central systems and scenario modeling tools are updated with accurate data and assumptions. Lead the development of new modeling tools to enhance predictive capabilities. External Market Analysis : Support the analysis of external market trends and their impact on workforce strategy. Provide strategic recommendations based on market insights to drive organizational competitiveness. Job Responsibilities: Build and manage detailed resource and financial baselines for key initiatives and functions Support the development of value ambition (robust cases) Conduct analyses for value confirmation as an outcome of detailed design and elevate value risks to leadership Support the management of deviations against the approved case and assist in value reconciliation Analyze workforce data to identify areas of opportunity and support resource optimization across functions Build and optimize data models across the value journey, drive data collection and integration for operational insights Collaborate with cross-functional global teams to ensure accurate insights delivery, operating in the "following-the-sun" model Interact with various finance and resource planning groups across Amgen to understand impact to budget/long range plans What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Doctorate degree and 2 to 4 years of Data Analytics / Finance OR Masters degree and 4 to 6 years of applicable experience OR Bachelors degree and 6 to 8 years of data science, finance, business, statistics, applied mathematics, business analytics, engineering, computer science or related field experience OR Diploma and 10 to 12 years of Data Analytics, Science & Technology Management or Finance experience Proficiency in financial modeling (Excel), data analytics and business intelligence tools Passion for data exploration & visualization and building narratives to drive data-driven business transformation Intellectual curiosity, with ability to learn new concepts, and methods Experience working in highly collaborative cross-functional environments Understanding of financial data and systems Preferred Qualifications: Masters degree in finance, data science, business, sciences statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field, or Chartered Accountant and 4 years of relevant experience in consulting and/or financial planning & analysis (MBA Preferred) Mastery of complex financial modeling (Excel) Understanding of global Finance, HR & Procurement systems and data Understanding of HR/Procurement/Global Sourcing operations Experience in budgeting, forecasting, and strategic planning Understanding of impacts of business decisions to financial statements (P&L, B/S, Cash Flow) Prior multinational corporate experience (capability center or other) Experience with Oracles Hyperion/EPM, SAP, Anaplan, PowerBI / Tableau Familiar with scripting languages like SQL or Python, and AWS services like S3 and Redshift Experience with data analysis, data modeling, and data visualization solutions such as Tableau, Alteryx, Databricks, PowerBI Experience working with business partners to identify complex functionality and translate it into requirements Experience in financial planning, analysis, and reporting, ERP systems and financial software Soft Skills: Effective communication and people skills Elevated level of integrity and ethical standards Problem-solving and critical thinking capabilities Adaptability to a dynamic and challenging environment

locationsBangalore,India time typeFull time posted onPosted 30+ Days Ago job requisition idR0000387027 About us: As a Fortune 50 company with more than 450,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. About Target Tech: Every time a guest enters a Target store or browses Target.com nor the app, they experience the impact of Targets investments in technology and innovation. Were the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities. Join our global in-house technology team of more than 5,000 of engineers, data scientists, architects and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guestsand we do so with a focus on diversity and inclusion, experimentation and continuous learning About Team A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, youll be challenged to harness Targets impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. Position overview: Develop and deploy scalable deep learning models to improve experience of Target guest Architect and implement large-scale AI systems using test-driven development practices Build NLP technology for query and document analysis, processing, and understandig Create data pipelines for feature/label extraction and generation Conduct data analysis to identify opportunities and improve models Conduct research to advance the state-of-the-art machine learning and NLP technologies Contributing to the operations/building of AI pipelines Adopting Target's infrastructural platforms and operationalize tools and systems around them Mentor and partner with other engineers to develop software that meets business needs Follow agile methodology for software development and technical documentation Innovate constantly and keep systems up to date with current technologies About you: 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience 6+ years of experience in end-to-end application development, data exploration, data pipelining, API design, optimization of model latency 2 plus years of experience deploying Machine Learning algorithms into production environments - including model and system monitoring and troubleshooting Highly proficient programming in Java/ Scala and/ or Python Good understanding of Big Data tech - specifically Hadoop, Kafka, Spark Solid understanding of data analysis techniques, including data cleaning, preprocessing, and visualization Demonstrated ability collaborating with data scientists, software engineers and product managers to understand the business requirements and translate to machine learning solutions at scale Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives Self-driven and results oriented - able to meet tight timelines Know More About Us Here: Life at Target- Benefits- Follow us on social media Target Tech- https://tech.target.com/

Senior Manager, Transformation Analytics What you will do In this vital role you will be a member of the Transformation Analytics team, supporting Amgens Technology & Workforce Strategy. We are seeking a highly motivated leader who will maximise financial and data analytics with critical thinking to enable enterprise-wide workforce transformation by connecting data across our people, finances and capabilities to enable business insights and decisions. In this role, you will lead and supervise an Analytics pod consisting of 1-3 junior resources. You will be responsible to deliver critical analytics and insights throughout the value journey, including developing resource, financial and capability baselines, developing taxonomies, analytics data packs, business cases, value confirmation and value realization. In addition, you will collaborate with our Technology teams to support ongoing automation and continuous improvement. Ultimately, you will lead a team that will enable development of a sustainable platform for ongoing transformation. The ideal candidate will leverage their analytical acumen to challenge the status quo, drive continuous improvement, and embed digital ways of working into our end-to-end processes. Team Leadership : Lead a small pod of 1-3 analysts to support key deliverables below Lead development of deliverables for workforce strategy : Lead team to deliver financial and data analyses across baselining, case, value confirmation, value extraction and value realization. Collaborate with cross-functional global teams to ensure accurate analytics and insights delivery operating in the "following-the-sun" model Activity-Based Cost Analysis : Lead analyses of total workforce spend and allocation. Recommend strategic cost-saving initiatives and optimizations based on analysis findings. Vendor Analysis : Lead evaluation of vendor performance and impact on organizational efficiency. Develop strategies for vendor optimization and cost management. Opportunity Analysis : Lead identifying and prioritizing areas of opportunity across the organization. Collaborate with cross-functional teams to implement organizational improvements. System Updates & Scenario Modeling : Lead teams in integrating data across multiple systems and functions, to help optimize data and financial models that support key processes across the value journey of our transformation. Help ensure central systems and scenario modeling tools are updated with accurate data and assumptions. Lead the development of new modeling tools to enhance predictive capabilities. External Market Analysis : Direct the analysis of external market trends and their impact on workforce strategy. Provide strategic recommendations based on market insights to drive organizational competitiveness. Job Responsibilities: Supervise small team focused on the development of comprehensive resource and financial analyses for Tech and workforce strategy program Lead reporting of insights on Tech & Workforce Strategy program Manage creation of complex cases, incorporating multiple data sources Manage data validation of the Value Confirmation analysis, review executive summary outputs Direct teams in identifying and reconciling deviations from the approved case Lead analysis efforts to optimize workforce and resource allocation, driving efficiency across the business Lead development of models for long-term planning and decision-making, ensuring strategic alignment Facilitate data integration across multiple teams to ensure insights are aligned with business priorities and performance objectives Provide guidance for design and implementation of automated data workflows for complex datasets, collaborating with business and IT teams to expand automation and integrate with existing systems Collaborate with cross-functional global teams to ensure accurate insights delivery, operating in the "following-the-sun" model Interact with various finance and resource planning groups across Amgen to understand impact to budget/long range plans Influence cross-functional partners to demonstrate single source of truth of transformation data being built in OPI&A (Organization planning, insights & analytics) What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Doctorate degree and 2 years of Data Analytics / Finance experience OR Masters degree and 8 to 10 years of applicable experience OR Bachelors degree and 10 to 14 years of data science, finance, business, statistics, applied mathematics, business analytics, engineering, computer science or related field experience OR Diploma and 14 to 18 years of Data Analytics, Science & Technology Management or Finance experience 4+ years of managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources Leader who can connect the dots across matrixed organization Proficiency in Microsoft Excel Passion for data exploration & visualization and building narratives to drive data-driven business transformation Intellectual curiosity, with ability to learn new concepts, and methods. Energy for applying technical skills to solving complex business problems with elegant data analyses and Digital Products Experience working in highly collaborative cross-functional environments Proficiency in financial modeling, data analytics and business intelligence tools Understanding of financial data and systems Preferred Qualifications: Masters degree in finance, data science, business, sciences statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field, or Chartered Accountant and 6-8 years of relevant experience in consulting and/or financial planning & analysis (MBA Preferred) Mastery of complex financial modeling (Excel) 4+ years of managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources Understanding of global Finance, HR & Procurement systems and data Understanding of HR/Procurement/Global Sourcing operations Experience in budgeting, forecasting, and strategic planning Understanding of impacts of business decisions to financial statements (P&L, B/S, Cash Flow) Understanding of / experience in the Bio-Pharmaceutical industry Business transformation experience involving recent technology advancements Prior multinational corporate experience (capability center or other) Experience with Oracles Hyperion/EPM, SAP, Anaplan, PowerBI / Tableau Familiar with scripting languages like SQL or Python, and AWS services like S3 and Redshift Experience with data analysis, data modeling, and data visualization solutions such as Tableau, Alteryx, Databricks, PowerBI Experience performing data analysis across one or more areas of the business to derive business logic for data integration Experience working with business partners to identify complex functionality and translate it into requirements Experience in preparing executive communication to include written and oral presentations. Experience in financial planning, analysis, and reporting, ERP systems and financial software Soft Skills: Effective communication and people skills. Elevated level of integrity and ethical standards. Problem-solving and critical thinking capabilities. Ability to influence and lead change. Adaptability to a dynamic and challenging environment.