1377 Qlik Jobs - Page 27

At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we’ll give you what you need to make it happen. It won’t always be easy, growing takes grit. But at ABB, you’ll never run alone. Run what runs the world. This Position reports to: HR Operations Team Lead Your role and responsibilities: People Analytics organization is a Global function that works with various ABB business divisions and countries delivering operational and expert services to ABB’s HR community. We aim to unlock the potential of data to help ABB business leaders and managers take better decisions which will enable us to build a more sustainable and resource-efficient future in electrification and automation. In this role, you will have the opportunity to partner with senior stakeholders to help them conceptualize KPIs in areas of Talent Performance Culture and build statistical and analytics solutions from scratch, and have a bias towards creating clean, effective, user-focused visualizations to deliver actionable insights and analysis using technologies that would vary based on purpose from Python, Snowflake, Power BI, Advanced Excel, VBA, or any other new technology. The work model for the role is: Hybrid This role is contributing to the People Analytics function supporting various business function based out in Bangalore. You will be mainly accountable for: Capably interacting and managing global ABB leadership to seek and provide meaningful and actionable insights in all interactions Responsible for on time delivery of actionable insights by requirement gathering, data extraction to reporting/ presenting the findings in IC role or with the team as per project needs You are to be constantly on the looking out for ways to enhance value for your respective stakeholders/clients Developing frameworks, plug n play solutions using diagnostic, predictive and machine learning techniques on Snowflake/ Python Executing strategic projects to help ABB improve excellence in people, performance, and culture Qualifications for the role: Bachelor’s/master’s degree in applied Statistics/Mathematics, Engineering, Operations Research or related field. At least 3 - 5 years of experience in consulting, shared services or software development with proficient data analysis techniques using technologies like Excel, VBA Scripting, Python, Snowflake, Understanding of SAP/ Workday HCM/ Snowflake system is preferred. Candidate should have a motivated mindset with advanced quantitative skills, with an ability to work on large datasets. The candidate should be able to generate actionable insights from data analysis that translate to valuable business decisions for the client. Capable EDA practitioner with extensive knowledge in advanced Excel functionalities Experience in designing and maintaining dashboards/ reports providing diagnostic and forecasting view using VBA, PowerBI, Qlik, Tableau Collaborative worker with excellent collaboration skills required to work in a global virtual work environment: team-oriented, self-motivated and able to lead small to mid-size projects What's in it for you: We empower you to take initiative, challenge ideas, and lead with confidence. You’ll grow through meaningful work, continuous learning, and support that’s tailored to your goals. Every idea you share and every action you take contributes to something bigger. More about us: ABB Robotics & Discrete Automation Business area provides robotics, and machine and factory automation including products, software, solutions and services. Revenues are generated both from direct sales to end users as well as from indirect sales mainly through system integrators and machine builders. www.abb.com/robotics #ABBCareers #RunwithABB #Runwhatrunstheworld We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe. Fraud Warning: Any genuine offer from ABB will always be preceded by a formal application and interview process. We never ask for money from job applicants. For current open positions you can visit our career website https://global.abb/group/en/careers and apply. Please refer to detailed recruitment fraud caution notice using the link https://global.abb/group/en/careers/how-to-apply/fraud-warning.

We are a fast-growing data-analytics consultancy dedicated to the Life Sciences / Pharmaceutical commercial analytics space. Our teams build cloud-native data platforms that power sales, marketing, and patient-centric insights for leading global pharma brands—delivering compliant, high-impact solutions at enterprise scale. Role & Responsibilities Architect, build, and tune Snowflake data warehouses and ELT pipelines (SQL, Streams, Tasks, UDFs, Stored Procedures) to meet complex commercial-analytics workloads. Integrate diverse pharma data sources (Veeva, Salesforce, IQVIA, Symphony, RWD, patient-services feeds) via Fivetran, ADF, or Python-based frameworks, ensuring end-to-end data quality. Establish robust data models (star, snowflake, Data Vault) optimized for sales reporting, market-share analytics, and AI/ML use-cases. Drive governance & compliance (HIPAA, GDPR, GxP) through fine-grained access controls, masking, lineage, and metadata management. Lead code reviews, mentor engineers, and resolve performance bottlenecks while right-sizing compute for cost efficiency. Partner with business stakeholders to translate commercial objectives into scalable data solutions and actionable insights. Skills & Qualifications Must-Have 7+ yrs data-engineering / warehousing experience, incl. 4+ yrs hands-on Snowflake design & development. Expert‐level SQL plus strong data-modeling (Dimensional, Data Vault) and ETL/ELT optimisation skills. Proficiency in Python (or similar) for automation, API integrations, and orchestration. Proven governance/security acumen within regulated industries (HIPAA, GDPR, PII). Bachelor’s in Computer Science, Engineering, Information Systems (Master’s preferred). Strong client-facing communication and problem-solving ability in fast-paced, agile environments. Preferred Direct experience with pharma commercial datasets (sales, CRM, claims, MDM, adherence KPIs). Cloud-platform depth (AWS, Azure, or GCP) and familiarity with tools such as Matillion/DBT/Airflow, Git. Snowflake certifications (SnowPro Core / Advanced) plus Tableau, Power BI, or Qlik connectivity know-how. Skills: Data,Analytics,Snowflake,Sales,Cloud,AWS,Azure

We are a fast-growing data-analytics consultancy dedicated to the Life Sciences / Pharmaceutical commercial analytics space. Our teams build cloud-native data platforms that power sales, marketing, and patient-centric insights for leading global pharma brands—delivering compliant, high-impact solutions at enterprise scale. Role & Responsibilities Architect, build, and tune Snowflake data warehouses and ELT pipelines (SQL, Streams, Tasks, UDFs, Stored Procedures) to meet complex commercial-analytics workloads. Integrate diverse pharma data sources (Veeva, Salesforce, IQVIA, Symphony, RWD, patient-services feeds) via Fivetran, ADF, or Python-based frameworks, ensuring end-to-end data quality. Establish robust data models (star, snowflake, Data Vault) optimized for sales reporting, market-share analytics, and AI/ML use-cases. Drive governance & compliance (HIPAA, GDPR, GxP) through fine-grained access controls, masking, lineage, and metadata management. Lead code reviews, mentor engineers, and resolve performance bottlenecks while right-sizing compute for cost efficiency. Partner with business stakeholders to translate commercial objectives into scalable data solutions and actionable insights. Skills & Qualifications Must-Have 7+ yrs data-engineering / warehousing experience, incl. 4+ yrs hands-on Snowflake design & development. Expert‐level SQL plus strong data-modeling (Dimensional, Data Vault) and ETL/ELT optimisation skills. Proficiency in Python (or similar) for automation, API integrations, and orchestration. Proven governance/security acumen within regulated industries (HIPAA, GDPR, PII). Bachelor’s in Computer Science, Engineering, Information Systems (Master’s preferred). Strong client-facing communication and problem-solving ability in fast-paced, agile environments. Preferred Direct experience with pharma commercial datasets (sales, CRM, claims, MDM, adherence KPIs). Cloud-platform depth (AWS, Azure, or GCP) and familiarity with tools such as Matillion/DBT/Airflow, Git. Snowflake certifications (SnowPro Core / Advanced) plus Tableau, Power BI, or Qlik connectivity know-how. Skills: aws,analytics,sales,sql,data,snowflake,etl/elt optimization,python,data warehousing,azure,data modeling,data governance,cloud

We are a fast-growing data-analytics consultancy dedicated to the Life Sciences / Pharmaceutical commercial analytics space. Our teams build cloud-native data platforms that power sales, marketing, and patient-centric insights for leading global pharma brands—delivering compliant, high-impact solutions at enterprise scale. Role & Responsibilities Architect, build, and tune Snowflake data warehouses and ELT pipelines (SQL, Streams, Tasks, UDFs, Stored Procedures) to meet complex commercial-analytics workloads. Integrate diverse pharma data sources (Veeva, Salesforce, IQVIA, Symphony, RWD, patient-services feeds) via Fivetran, ADF, or Python-based frameworks, ensuring end-to-end data quality. Establish robust data models (star, snowflake, Data Vault) optimized for sales reporting, market-share analytics, and AI/ML use-cases. Drive governance & compliance (HIPAA, GDPR, GxP) through fine-grained access controls, masking, lineage, and metadata management. Lead code reviews, mentor engineers, and resolve performance bottlenecks while right-sizing compute for cost efficiency. Partner with business stakeholders to translate commercial objectives into scalable data solutions and actionable insights. Skills & Qualifications Must-Have 7+ yrs data-engineering / warehousing experience, incl. 4+ yrs hands-on Snowflake design & development. Expert‐level SQL plus strong data-modeling (Dimensional, Data Vault) and ETL/ELT optimisation skills. Proficiency in Python (or similar) for automation, API integrations, and orchestration. Proven governance/security acumen within regulated industries (HIPAA, GDPR, PII). Bachelor’s in Computer Science, Engineering, Information Systems (Master’s preferred). Strong client-facing communication and problem-solving ability in fast-paced, agile environments. Preferred Direct experience with pharma commercial datasets (sales, CRM, claims, MDM, adherence KPIs). Cloud-platform depth (AWS, Azure, or GCP) and familiarity with tools such as Matillion/DBT/Airflow, Git. Snowflake certifications (SnowPro Core / Advanced) plus Tableau, Power BI, or Qlik connectivity know-how. Skills: Data,Analytics,Snowflake,Sales,Cloud,AWS,Azure

We are a fast-growing data-analytics consultancy dedicated to the Life Sciences / Pharmaceutical commercial analytics space. Our teams build cloud-native data platforms that power sales, marketing, and patient-centric insights for leading global pharma brands—delivering compliant, high-impact solutions at enterprise scale. Role & Responsibilities Architect, build, and tune Snowflake data warehouses and ELT pipelines (SQL, Streams, Tasks, UDFs, Stored Procedures) to meet complex commercial-analytics workloads. Integrate diverse pharma data sources (Veeva, Salesforce, IQVIA, Symphony, RWD, patient-services feeds) via Fivetran, ADF, or Python-based frameworks, ensuring end-to-end data quality. Establish robust data models (star, snowflake, Data Vault) optimized for sales reporting, market-share analytics, and AI/ML use-cases. Drive governance & compliance (HIPAA, GDPR, GxP) through fine-grained access controls, masking, lineage, and metadata management. Lead code reviews, mentor engineers, and resolve performance bottlenecks while right-sizing compute for cost efficiency. Partner with business stakeholders to translate commercial objectives into scalable data solutions and actionable insights. Skills & Qualifications Must-Have 7+ yrs data-engineering / warehousing experience, incl. 4+ yrs hands-on Snowflake design & development. Expert‐level SQL plus strong data-modeling (Dimensional, Data Vault) and ETL/ELT optimisation skills. Proficiency in Python (or similar) for automation, API integrations, and orchestration. Proven governance/security acumen within regulated industries (HIPAA, GDPR, PII). Bachelor’s in Computer Science, Engineering, Information Systems (Master’s preferred). Strong client-facing communication and problem-solving ability in fast-paced, agile environments. Preferred Direct experience with pharma commercial datasets (sales, CRM, claims, MDM, adherence KPIs). Cloud-platform depth (AWS, Azure, or GCP) and familiarity with tools such as Matillion/DBT/Airflow, Git. Snowflake certifications (SnowPro Core / Advanced) plus Tableau, Power BI, or Qlik connectivity know-how. Skills: Data,Analytics,Snowflake,Sales,Cloud,AWS,Azure

We are a fast-growing data-analytics consultancy dedicated to the Life Sciences / Pharmaceutical commercial analytics space. Our teams build cloud-native data platforms that power sales, marketing, and patient-centric insights for leading global pharma brands—delivering compliant, high-impact solutions at enterprise scale. Role & Responsibilities Architect, build, and tune Snowflake data warehouses and ELT pipelines (SQL, Streams, Tasks, UDFs, Stored Procedures) to meet complex commercial-analytics workloads. Integrate diverse pharma data sources (Veeva, Salesforce, IQVIA, Symphony, RWD, patient-services feeds) via Fivetran, ADF, or Python-based frameworks, ensuring end-to-end data quality. Establish robust data models (star, snowflake, Data Vault) optimized for sales reporting, market-share analytics, and AI/ML use-cases. Drive governance & compliance (HIPAA, GDPR, GxP) through fine-grained access controls, masking, lineage, and metadata management. Lead code reviews, mentor engineers, and resolve performance bottlenecks while right-sizing compute for cost efficiency. Partner with business stakeholders to translate commercial objectives into scalable data solutions and actionable insights. Skills & Qualifications Must-Have 7+ yrs data-engineering / warehousing experience, incl. 4+ yrs hands-on Snowflake design & development. Expert‐level SQL plus strong data-modeling (Dimensional, Data Vault) and ETL/ELT optimisation skills. Proficiency in Python (or similar) for automation, API integrations, and orchestration. Proven governance/security acumen within regulated industries (HIPAA, GDPR, PII). Bachelor’s in Computer Science, Engineering, Information Systems (Master’s preferred). Strong client-facing communication and problem-solving ability in fast-paced, agile environments. Preferred Direct experience with pharma commercial datasets (sales, CRM, claims, MDM, adherence KPIs). Cloud-platform depth (AWS, Azure, or GCP) and familiarity with tools such as Matillion/DBT/Airflow, Git. Snowflake certifications (SnowPro Core / Advanced) plus Tableau, Power BI, or Qlik connectivity know-how. Skills: Data,Analytics,Snowflake,Sales,Cloud,AWS,Azure

At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we’ll give you what you need to make it happen. It won’t always be easy, growing takes grit. But at ABB, you’ll never run alone. Run what runs the world. This Position Reports To HR Operations Team Lead Your Role And Responsibilities People Analytics organization is a Global function that works with various ABB business divisions and countries delivering operational and expert services to ABB’s HR community. We aim to unlock the potential of data to help ABB business leaders and managers take better decisions which will enable us to build a more sustainable and resource-efficient future in electrification and automation. In this role, you will have the opportunity to partner with senior stakeholders to help them conceptualize KPIs in areas of Talent Performance Culture and build statistical and analytics solutions from scratch, and have a bias towards creating clean, effective, user-focused visualizations to deliver actionable insights and analysis using technologies that would vary based on purpose from Python, Snowflake, Power BI, Advanced Excel, VBA, or any other new technology. The work model for the role is: Hybrid This role is contributing to the People Analytics function supporting various business function based out in Bangalore. You Will Be Mainly Accountable For Capably interacting and managing global ABB leadership to seek and provide meaningful and actionable insights in all interactions Responsible for on time delivery of actionable insights by requirement gathering, data extraction to reporting/ presenting the findings in IC role or with the team as per project needs You are to be constantly on the looking out for ways to enhance value for your respective stakeholders/clients Developing frameworks, plug n play solutions using diagnostic, predictive and machine learning techniques on Snowflake/ Python Executing strategic projects to help ABB improve excellence in people, performance, and culture Qualifications For The Role Bachelor’s/master’s degree in applied Statistics/Mathematics, Engineering, Operations Research or related field. At least 3 - 5 years of experience in consulting, shared services or software development with proficient data analysis techniques using technologies like Excel, VBA Scripting, Python, Snowflake, Understanding of SAP/ Workday HCM/ Snowflake system is preferred. Candidate should have a motivated mindset with advanced quantitative skills, with an ability to work on large datasets. The candidate should be able to generate actionable insights from data analysis that translate to valuable business decisions for the client. Capable EDA practitioner with extensive knowledge in advanced Excel functionalities Experience in designing and maintaining dashboards/ reports providing diagnostic and forecasting view using VBA, PowerBI, Qlik, Tableau Collaborative worker with excellent collaboration skills required to work in a global virtual work environment: team-oriented, self-motivated and able to lead small to mid-size projects What's In It For You We empower you to take initiative, challenge ideas, and lead with confidence. You’ll grow through meaningful work, continuous learning, and support that’s tailored to your goals. Every idea you share and every action you take contributes to something bigger. More About Us ABB Robotics & Discrete Automation Business area provides robotics, and machine and factory automation including products, software, solutions and services. Revenues are generated both from direct sales to end users as well as from indirect sales mainly through system integrators and machine builders. www.abb.com/robotics #ABBCareers #RunwithABB #Runwhatrunstheworld We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe. Fraud Warning: Any genuine offer from ABB will always be preceded by a formal application and interview process. We never ask for money from job applicants. For current open positions you can visit our career website https://global.abb/group/en/careers and apply. Please refer to detailed recruitment fraud caution notice using the link https://global.abb/group/en/careers/how-to-apply/fraud-warning. 96249028

We are a fast-growing data-analytics consultancy dedicated to the Life Sciences / Pharmaceutical commercial analytics space. Our teams build cloud-native data platforms that power sales, marketing, and patient-centric insights for leading global pharma brands—delivering compliant, high-impact solutions at enterprise scale. Role & Responsibilities Architect, build, and tune Snowflake data warehouses and ELT pipelines (SQL, Streams, Tasks, UDFs, Stored Procedures) to meet complex commercial-analytics workloads. Integrate diverse pharma data sources (Veeva, Salesforce, IQVIA, Symphony, RWD, patient-services feeds) via Fivetran, ADF, or Python-based frameworks, ensuring end-to-end data quality. Establish robust data models (star, snowflake, Data Vault) optimized for sales reporting, market-share analytics, and AI/ML use-cases. Drive governance & compliance (HIPAA, GDPR, GxP) through fine-grained access controls, masking, lineage, and metadata management. Lead code reviews, mentor engineers, and resolve performance bottlenecks while right-sizing compute for cost efficiency. Partner with business stakeholders to translate commercial objectives into scalable data solutions and actionable insights. Skills & Qualifications Must-Have 7+ yrs data-engineering / warehousing experience, incl. 4+ yrs hands-on Snowflake design & development. Expert‐level SQL plus strong data-modeling (Dimensional, Data Vault) and ETL/ELT optimisation skills. Proficiency in Python (or similar) for automation, API integrations, and orchestration. Proven governance/security acumen within regulated industries (HIPAA, GDPR, PII). Bachelor’s in Computer Science, Engineering, Information Systems (Master’s preferred). Strong client-facing communication and problem-solving ability in fast-paced, agile environments. Preferred Direct experience with pharma commercial datasets (sales, CRM, claims, MDM, adherence KPIs). Cloud-platform depth (AWS, Azure, or GCP) and familiarity with tools such as Matillion/DBT/Airflow, Git. Snowflake certifications (SnowPro Core / Advanced) plus Tableau, Power BI, or Qlik connectivity know-how. Skills: Data,Analytics,Snowflake,Sales,Cloud,AWS,Azure

We are a fast-growing data-analytics consultancy dedicated to the Life Sciences / Pharmaceutical commercial analytics space. Our teams build cloud-native data platforms that power sales, marketing, and patient-centric insights for leading global pharma brands—delivering compliant, high-impact solutions at enterprise scale. Role & Responsibilities Architect, build, and tune Snowflake data warehouses and ELT pipelines (SQL, Streams, Tasks, UDFs, Stored Procedures) to meet complex commercial-analytics workloads. Integrate diverse pharma data sources (Veeva, Salesforce, IQVIA, Symphony, RWD, patient-services feeds) via Fivetran, ADF, or Python-based frameworks, ensuring end-to-end data quality. Establish robust data models (star, snowflake, Data Vault) optimized for sales reporting, market-share analytics, and AI/ML use-cases. Drive governance & compliance (HIPAA, GDPR, GxP) through fine-grained access controls, masking, lineage, and metadata management. Lead code reviews, mentor engineers, and resolve performance bottlenecks while right-sizing compute for cost efficiency. Partner with business stakeholders to translate commercial objectives into scalable data solutions and actionable insights. Skills & Qualifications Must-Have 7+ yrs data-engineering / warehousing experience, incl. 4+ yrs hands-on Snowflake design & development. Expert‐level SQL plus strong data-modeling (Dimensional, Data Vault) and ETL/ELT optimisation skills. Proficiency in Python (or similar) for automation, API integrations, and orchestration. Proven governance/security acumen within regulated industries (HIPAA, GDPR, PII). Bachelor’s in Computer Science, Engineering, Information Systems (Master’s preferred). Strong client-facing communication and problem-solving ability in fast-paced, agile environments. Preferred Direct experience with pharma commercial datasets (sales, CRM, claims, MDM, adherence KPIs). Cloud-platform depth (AWS, Azure, or GCP) and familiarity with tools such as Matillion/DBT/Airflow, Git. Snowflake certifications (SnowPro Core / Advanced) plus Tableau, Power BI, or Qlik connectivity know-how. Skills: Data,Analytics,Snowflake,Sales,Cloud,AWS,Azure

We are a fast-growing data-analytics consultancy dedicated to the Life Sciences / Pharmaceutical commercial analytics space. Our teams build cloud-native data platforms that power sales, marketing, and patient-centric insights for leading global pharma brands—delivering compliant, high-impact solutions at enterprise scale. Role & Responsibilities Architect, build, and tune Snowflake data warehouses and ELT pipelines (SQL, Streams, Tasks, UDFs, Stored Procedures) to meet complex commercial-analytics workloads. Integrate diverse pharma data sources (Veeva, Salesforce, IQVIA, Symphony, RWD, patient-services feeds) via Fivetran, ADF, or Python-based frameworks, ensuring end-to-end data quality. Establish robust data models (star, snowflake, Data Vault) optimized for sales reporting, market-share analytics, and AI/ML use-cases. Drive governance & compliance (HIPAA, GDPR, GxP) through fine-grained access controls, masking, lineage, and metadata management. Lead code reviews, mentor engineers, and resolve performance bottlenecks while right-sizing compute for cost efficiency. Partner with business stakeholders to translate commercial objectives into scalable data solutions and actionable insights. Skills & Qualifications Must-Have 7+ yrs data-engineering / warehousing experience, incl. 4+ yrs hands-on Snowflake design & development. Expert‐level SQL plus strong data-modeling (Dimensional, Data Vault) and ETL/ELT optimisation skills. Proficiency in Python (or similar) for automation, API integrations, and orchestration. Proven governance/security acumen within regulated industries (HIPAA, GDPR, PII). Bachelor’s in Computer Science, Engineering, Information Systems (Master’s preferred). Strong client-facing communication and problem-solving ability in fast-paced, agile environments. Preferred Direct experience with pharma commercial datasets (sales, CRM, claims, MDM, adherence KPIs). Cloud-platform depth (AWS, Azure, or GCP) and familiarity with tools such as Matillion/DBT/Airflow, Git. Snowflake certifications (SnowPro Core / Advanced) plus Tableau, Power BI, or Qlik connectivity know-how. Skills: Data,Analytics,Snowflake,Sales,Cloud,AWS,Azure

We are a fast-growing data-analytics consultancy dedicated to the Life Sciences / Pharmaceutical commercial analytics space. Our teams build cloud-native data platforms that power sales, marketing, and patient-centric insights for leading global pharma brands—delivering compliant, high-impact solutions at enterprise scale. Role & Responsibilities Architect, build, and tune Snowflake data warehouses and ELT pipelines (SQL, Streams, Tasks, UDFs, Stored Procedures) to meet complex commercial-analytics workloads. Integrate diverse pharma data sources (Veeva, Salesforce, IQVIA, Symphony, RWD, patient-services feeds) via Fivetran, ADF, or Python-based frameworks, ensuring end-to-end data quality. Establish robust data models (star, snowflake, Data Vault) optimized for sales reporting, market-share analytics, and AI/ML use-cases. Drive governance & compliance (HIPAA, GDPR, GxP) through fine-grained access controls, masking, lineage, and metadata management. Lead code reviews, mentor engineers, and resolve performance bottlenecks while right-sizing compute for cost efficiency. Partner with business stakeholders to translate commercial objectives into scalable data solutions and actionable insights. Skills & Qualifications Must-Have 7+ yrs data-engineering / warehousing experience, incl. 4+ yrs hands-on Snowflake design & development. Expert‐level SQL plus strong data-modeling (Dimensional, Data Vault) and ETL/ELT optimisation skills. Proficiency in Python (or similar) for automation, API integrations, and orchestration. Proven governance/security acumen within regulated industries (HIPAA, GDPR, PII). Bachelor’s in Computer Science, Engineering, Information Systems (Master’s preferred). Strong client-facing communication and problem-solving ability in fast-paced, agile environments. Preferred Direct experience with pharma commercial datasets (sales, CRM, claims, MDM, adherence KPIs). Cloud-platform depth (AWS, Azure, or GCP) and familiarity with tools such as Matillion/DBT/Airflow, Git. Snowflake certifications (SnowPro Core / Advanced) plus Tableau, Power BI, or Qlik connectivity know-how. Skills: Data,Analytics,Snowflake,Sales,Cloud,AWS,Azure

Position: AI Architect -PERMANENT Only Experience: 9+ years (Relevant 8 years is a must) Budget: Up to ₹40–45 LPA Notice Period: Immediate to 45 days Key Skills: Python, Data Science (AI/ML), SQL Location- TVM/Kochi/remote Job Purpose Responsible for consulting for the client to understand their AI/ML, analytics needs & delivering AI/ML applications to the client. Job Description / Duties & Responsibilities ▪ Work closely with internal BU’s and business partners (clients) to understand their business problems and translate them into data science problems ▪ Design intelligent data science solutions that delivers incremental value the end stakeholders ▪ Work closely with data engineering team in identifying relevant data and pre-processing the data to suitable models ▪ Develop the designed solutions into statistical machine learning models, AI models using suitable tools and frameworks ▪ Work closely with the business intelligence team to build BI system and visualizations that delivers the insights of the underlying data science model in most intuitive ways possible. ▪ Work closely with application team to deliver AI/ML solutions as microservices Job Specification / Skills And Competencies ▪ Masters/Bachelor’s in Computer Science or Statistics or Economics ▪ At least 6 years of experience working in Data Science field and is passionate about numbers, quantitative problems ▪ Deep understanding of Machine Learning models and algorithms ▪ Experience in analysing complex business problems, translating it into data science problems and modelling data science solutions for the same ▪ Understanding of and experience in one or more of the following Machine Learning algorithms:-Regression , Time Series ▪ Logistic Regression, Naive Bayes, kNN, SVM, Decision Trees, Random Forest, k-Means Clustering etc. ▪ NLP, Text Mining, LLM (GPTs) ▪ Deep Learning, Reinforcement learning algorithm ▪ Understanding of and experience in one or more of the machine learning frameworks -TensorFlow, Caffe, Torch etc. ▪ Understanding of and experience of building machine learning models using various packages in one or more of the programming languages– Python / R ▪ Knowledge & Experience on SQL, Relational Databases, No SQL Databases and Datawarehouse concepts ▪ Understanding of AWS/Azure Cloud architecture ▪ Understanding on the deployment architectures of AI/ML models (Flask, Azure function, AWS lambda) ▪ Knowledge on any BI and visualization tools is add-on (Tableau/PowerBI/Qlik/Plotly etc). ▪To adhere to the Information Security Management policies and procedures. Soft Skills Required ▪ Must be a good team player with good communication skills ▪ Must have good presentation skills ▪ Must be a pro-active problem solver and a leader by self ▪ Manage & nurture a team of data scientists ▪ Desire for numbers and patterns Skills: python,data visualization,nlp,ml,artificial intelligence,machine learning,sql,ai,statistics,aws,azure,data science (ai/ml),data science,deep learning

Position: Data Engineer Experience: 3 - 5 years Salary: upto 14 LPA Location: Gandhinagar, Gujarat Role : To lead a team of data engineers for various data development projects. To develop, test & deliver data systems on industry leading cloud platforms and implement methods to improve data reliability and quality. Requirement : Minimum 3 years of professional experience as a data engineer Must have strong working experience in Python and its various data analysis packages – Pandas / NumPy Must have strong understanding of prevalent cloud ecosystems and experience in one of the cloud platforms – AWS / Azure / GCP . Must have strong working experience in one of the leading MPP Databases – Snowflake / Amazon Redshift / Azure Synapse / Google Big Query Must have strong working experience in one of the leading data orchestration tools in cloud – Azure Data Factory / Amazon Glue / Apache Airflow Must have experience working with Agile methodologies, Test Driven Development, and implementing CI/CD pipelines using one of leading services – GITLab / Azure DevOps / Jenkins / AWS Code Pipeline / Google Cloud Build Must have Data Governance / Data Management / Data Quality project implementation experience Must have experience in big data processing using Spark Must have strong experience with SQL databases (SQL Server, Oracle, Postgres etc.) Must have stakeholder management experience and very good communication skills Must have working experience on end-to-end project delivery including requirement gathering, design, development, testing, deployment, and warranty support Must have working experience with various testing levels, such as, unit testing, integration testing and system testing Working experience with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures Nice to have Skills : Working experience in DataBricks notebooks and managing DataBricks clusters Experience in Data Modelling tool such as Erwin or ER Studio Experience in one of the data architectures, such as Data Mesh or Data Fabric Has handled real time data or near real time data Experience in one of the leading Reporting & analysis tools, such as Power BI, Qlik, Tableau or Amazon Quick Sight Working experience with API integration General insurance / banking / finance domain understanding

Job Overview JOB DESCRIPTION Part of Business Focused IT, candidate needs would be in charge of scaling up and managing an Enterprise-Wide Data Platform that would support the analytical needs of the complete Pharma business(extensible to other businesses as required). The platform should be flexible to support business operations of the future and provide story telling type of intuitive analytics. This position would be a part of the Analytics Center of Excellence. KEY STAKEHOLDERS: INTERNAL: Corporate IT, Infra, Business Stakeholders, Site Teams KEY STAKEHOLDERS: EXTERNAL: Product Vendors, Consultants, Developers Reporting Structure Will report to – Corporate CIO No of direct reports – 2+ Experience 10+ years of relevant experience with business background Understanding of principles of data management Knowledge in data taxonomies Knowledge of data systems and processes Similar hands-on experience of setting up data platforms from scratch in In-depth understanding of Snowflake Captive analytics delivery team in a comparable business enterprise Experience in designing, building, and optimizing ETL pipelines using tools like Airflow, AWS Glue, PySpark. Experience with BI tools like Qlik, Power BI to design interactive dashboards and reporting solution. Skills & Competencies Excellent Written and verbal communication Business case development Excellent inter-personal skills Team Player & team building capabilities Budgeting, forecasting & funds management Strong connects with OEMs and Cloud players in the space of next generation analytics Deep technical expertise in prominent ETL, DB, MDM, Analytical tool(s) Exposure to SQL Strong expertise in Snowflake data platform (data modeling, ETL processes, performance optimization) and AWS services (S3, Glue, Lambda and more). Key Roles & Responsibilities Responsible for developing and maintaining the global data marketplace (data lake) Manages the sourcing and acquisition of internal (including IT and OT) & external data sets Ensure adherence of data to both enterprise business rules, and, especially, to legal and regulatory requirements Define the data quality standards for cross functional data that is used in BI/analytics models/reports Provide input into data integration standards and the enterprise data architecture Responsible for modelling and designing the application data structure, storage and integration and leading the database analysis, design and build effort Review the database deliverables throughout development thereby ensuring quality and traceability to requirements and adherence to all quality management plans and standards Develop strategies for data acquisitions, dissemination and archival Manage the data architecture within the big data solution such as Hadoop, Cloudera, etc.. Responsible for modelling and designing the big data structure, storage, integration and leading the database analysis, design, visualization and build effort Review the database deliverables throughout development thereby ensuring quality and traceability to requirements and adherence to all quality management plans and standards Work with partners and vendors (in a multi-vendor environment) for various capabilities Continuously review the analytics stack for improvements – performance improvements, reduce overall TCO through cost optimizations & better the predictive capabilities Bring in thought leadership with regards to analytics to make Piramal Pharma an analytics driven business; and help in driving business KPIs Preparation of Analytics Platform budgets for both CAPEX and OPEX for assigned initiatives and rolling out the initiatives within budget & projected timelines Drive MDM Strategy and Implementation initiative Responsible for overall delivery and customer satisfaction for Business services, interaction with business leads, project status management and reporting, implementation management, identifying further opportunities for automation within PPL Ensure IT compliance in all project rollouts as per regulatory guidelines Conduct Change Management and Impact Analysis for approved enhancements. Uphold data integrity requirements following ALCOA+ guidelines. Monitor SLAs and KPIs as agreed upon by the business, offering root-cause analysis and risk mitigation action plans when needed. Drive awareness & learning across Piramal Pharma in Enterprise Data Platform Qualification QUALIFICATIONS Graduation from Engineering discipline Post Graduate preferable Certification/ Degree in Analytics(or related stream) would be an advantage Experience in Pharma domain would be an added advantage About Us In the three decades of its existence, Piramal Group has pursued a twin strategy of both organic and inorganic growth. Driven by its core values, Piramal Group steadfastly pursues inclusive growth, while adhering to ethical and values-driven practices. Equal employment opportunity Piramal Group is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, ethnicity, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetics, or other applicable legally protected characteristics. We base our employment decisions on merit considering qualifications, skills, performance, and achievements. We endeavor to ensure that all applicants and employees receive equal opportunity in personnel matters, including recruitment, selection, training, placement, promotion, demotion, compensation and benefits, transfers, terminations, and working conditions, including reasonable accommodation for qualified individuals with disabilities as well as individuals with needs related to their religious observance or practice. About The Team Piramal Pharma Limited (PPL) offers a portfolio of differentiated products and services through end-to-end manufacturing capabilities across 15 global facilities and a global distribution network in over 100 countries. PPL includes Piramal Pharma Solutions (PPS), an integrated Contract Development and Manufacturing Organization; Piramal Critical Care (PCC), a Complex Hospital Generics business, and the India Consumer Healthcare business selling over-the-counter products. PPS offers end-to-end development and manufacturing solutions through a globally integrated network of facilities across the drug life cycle to innovators and generic companies. PCC’s complex hospital product portfolio includes inhalation anaesthetics, intrathecal therapies for spasticity and pain management, injectable pain and anaesthetics, injectable anti-infectives, and other therapies. The Indian Consumer Healthcare business is among the leading players in India in the self-care space, with established brands in the Indian consumer healthcare market. In addition, PPL has a joint venture with Allergan, a leader in ophthalmology in the Indian formulations market. In October 2020, the company received a growth equity investment from the Carlyle Group.

Location: Gurugram, India Position Summary Futures First is a part of the Hertshten Group, its holding company which has raised the benchmarks for excellence in the international derivatives industry. Futures First benefits from the significant experience of the Hertshten Group in derivatives markets across global financial exchanges. This is an exciting challenge and an excellent opportunity for bright, analytical, highly motivated professionals to join a vibrant and global organization. At Futures First, we are dedicated to empowering our team with cuttingedge technology, comprehensive training, dependable infrastructure, and ongoing learning opportunitiesenabling everyone to produce highcaliber work while advancing both professionally and personally. Job Profile We are seeking a detail-oriented and analytical Data Analyst to join our team. The ideal candidate will have a strong background in data analysis, MIS reporting, and proficiency in Excel, VBA Macros, SQL, Python, and Power BI/Qlik Sense. This role involves transforming data into actionable insights to support business decisions. Key Responsibilities Develop, maintain, and automate MIS reports and dashboards to support various business functions. Utilize advanced Excel functions including VBA Macros, for data analysis, reporting, and automation. Write complex SQL queries to extract, manipulate, and analyze data from relational databases. Employ Python for data cleaning, analysis, and visualization tasks. Design and implement interactive dashboards and reports using Power BI/Qlik Sense to visualize key performance indicators and trends. Collaborate with cross-functional teams to understand data requirements and deliver insights. Ensure data accuracy and integrity across all reporting platforms. Requirements Education Qualifications Bachelor's or Masters in any discipline Work Experience Minimum of 3 years of experience in data analysis or a similar role Skill Set Any certification in data analysis would be an added advantage Good analytical, logical, and communication skills Proficiency in Microsoft Excel, including advanced functions and VBA Macros. Strong knowledge of SQL and Python for data querying and manipulation. Good to have hands-on experience on one of the self-serviced BI tools like Power BI or Qlik Sense. Additional Information Experience: 3 Years Employment Type: Full-time

Profile Summary We are seeking a dynamic and experienced GCC Sales professional to drive the growth of our professional services within Global Capability Centers (GCCs). The ideal candidate will specialize in selling Data Analytics, Engineering, Artificial Intelligence (AI), and Enterprise Performance Management (EPM) services to GCC clients, enabling them to optimize their operations and achieve business excellence. Key Responsibility: Develop and execute sales strategies tailored to Global Capability Centers, fostering relationships with key stakeholders. Identify and qualify new business opportunities, aligning client needs with Polestar’s professional service offerings. Collaborate with internal teams to design and deliver customized solutions for GCC clients. Build and maintain strong relationships with decision-makers in GCCs, ensuring long-term partnerships. Achieve and exceed sales targets, contributing to Polestar’s expansion in the GCC domain. Monitor industry trends, competitive activity, and market demands within the GCC ecosystem. Represent Polestar Solutions at industry forums, events, and networking opportunities to enhance brand visibility. Qualifications: Proven experience in sales, with a focus on Global Capability Centers and professional services. Strong knowledge of Data Analytics, Engineering, AI, and EPM services and their relevance to GCCs. Established network of decision-makers within the GCC industry. Exceptional communication, relationship-building, and negotiation skills. Demonstrated ability to meet and exceed revenue goals in a competitive environment. Bachelor's degree in Business, Technology, or a related field; MBA is a plus. Personal Attributes You’ve dabbled in networking with clients and C-Suite client engagement. Sales generation and post-consultation are your forte. And you have the communication chops to translate it all into conversation or presentations. While you’ve worked with global cross-functional teams, you can also put your head down and focus on independent projects. Seeing the big picture takes attention to detail. Keeping up with the fast-changing world of digital media measurement takes someone who recognizes that. You have gained a knack for negotiation and earned the client’s trust. You are always accountable and can make a difference in numbers to the client’s business. Requirements Excellent problem-solving skills are solution-oriented and have good analytical skills. Very good client-facing and communication/presentation skills. Excellent at consultative selling and building case studies Ability to speak at external forums. Strong Collaboration and Networking skills About Polestar As a data analytics and enterprise planning powerhouse, Polestar Solutions helps its customers bring out the most sophisticated insights from their data in a value-oriented manner. From analytics foundation to analytics innovation initiatives, we offer a comprehensive range of services that helps businesses succeed with data. We have a geographic presence in the United States (Dallas, Manhattan, New York, Delaware), UK(London) & India (Delhi-NCR, Mumbai, Bangalore & Kolkata) and have 600+ people strong world-class team. We are growing at a rapid pace and plan to double our growth each year. This provides immense growth and learning opportunities to those who are choosing to work with Polestar. We hire from most of the Premier Engineering and MBA institutes. We are serving customers across 20+ countries. Our expertise and deep passion for what we do has brought us many accolades. The list includes: Recognized as “Great Place to Work” - 2024 Recognized as the Top 50 Companies for Data Scientists in 2023 by AIM. Financial Times awarded Polestar as High-Growth Companies across Asia-Pacific for a 5th time in a row in 2023. Featured on the Economic Times India's Growth Champions in FY2023. Polestar Solutions Selected as a 2022 Red Herring Global Top Data Science Providers in India 2022: Penetration and Maturity (PeMa) Quadrant FT ranking of 500 of the Asia-Pacific region’s high-growth companies. India’s most promising data science companies in 2022. Featured on Forrester's Now Tech: Customer Analytics Service Providers Report Q2, 2021. Recognized as Anaplan's India RSI Partner of the Year FY21. Elite Qlik Partner and a member of the ‘Qlik Partner Advisory Council’ & Microsoft Gold Partners for Data & Cloud Platforms Culture at Polestar. We have one of the most progressive people’s practices which are all aimed at enabling fast paced growth for those who deserve it.

Summary Holistic CI Surveillance of competitor products/company and Therapy area (TA) of interest Independently Set-up and Manage the CI process for given TA/ TAs To perform comprehensive CI analysis at franchise/brand/ disease area level and deriving actionable insights focused on strategic imperatives To evaluate impact of these developments on Novartis’ clinical/marketing programs; to ensure recommendations and key findings for further review/analysis and manage communication plan to right stakeholders. To provide proactive support and timely communicate competitive threats from external factors (Market, Competitor & Portfolio Analysis) and optimize opportunities in both clinical and marketing activities. To provide inputs into Clinical Development Plans (CDP) / Lifecycle Management Study (LCM/BOS) designs, situational analysis and strategic positioning. To Support Senior Insights Manager in coordinating inputs for situational analysis, key management presentations and workshops. About The Role Major accountabilities: Operational delivery Independently manage/ set-up CI process/engagement and monitoring of competitors in focus Working closely with global clinical, marketing and brand teams to add CI intel through secondary data analysis and preparing clear & concise presentations with detailed understanding of brand/TA, lifecycle elements and unmet need. Engage the stakeholders and effectively communicate the CI process, objectives and outcomes. Provides CI intel in internal meetings such as Scenario Planning pre-read preparation, clinical trial/pipeline report updates, Global Brand Team meeting preparations, brand/ CDP / LCM/BOS plan inputs etc Performing regular and ad-hoc analyses of identified competitors or TA, and is able to quantify the competitive threat from various external landscape changes. Provides recommendations and insights for the brand and development teams. Leverage innovative technological and automation resources for preparing CI deliverables by proper evaluation of competitor goals, assumptions, capabilities, and strategies Tracking external factors (Market, Competitor & Portfolio Analysis) influencing the development of a brand/TA. Capable to perform product comparison, attribute analysis and competitive developments in new areas like imaging, biomarkers, compliance trials etc. Developing strategic implications of ‘traffic-light’ news reports, including applicable team actions; managing communications with the team and external customers as necessary. Evaluating competitor goals, assumptions, capabilities, and strategies; Incorporates and communicates competitor analyses into effective alignment plans and recommendations and present key issues and learnings to ICT/IPT teams Identifies and understands the nature of the competitive threat and creating competitor profile including timeline assumptions and stakeholder preferences; Understands the intellectual property situation for the product; Expertise in SWOT analysis, PEST analysis etc. Functional excellence Expertise in all critical aspects of competitive intelligence and manages CI initiatives for a given TAs. Active participation in some key initiatives in team and at times- leading some of the initiatives- within team and cross-functional teams Supports the development and implementation of new ways of information presentation. Effort should be more on implementation of such ideas across/with the team. Brand/Therapy Area/Market/Pharma Knowledge: Fundamental/Advanced understanding of assigned therapy areas, NVS and competitor brands, market landscape, treatment trends and trail designs; understand drug development and commercialization elements. Strong analytical skills to grasp problems (complexity, context etc), the scope of the solution and effort estimation Region/Market Knowledge: Fundamental/Advanced understanding of the healthcare/pharma policies, Market access information, Knowledge on growing therapy areas. Information on the Pharma News sources for key business region/countries - The US, EU5, Japan, Emerging Market Countries. Tool/Portal/Database: Expertise in working with CI databases (e.g. Pharma Projects, Trial Trove etc.). Exposure to business intelligence tools (e.g. Qlik Sense). Conference Coverage: Expertise in conference coverage; Manage questions/challenges from internal Brand/Medical team on intelligence; capable using elicitation techniques Secondary Intelligence gathering: Command on setting up secondary intelligence alerts/tracking using Boolean, Mesh, web-crawlers etc.; Expert in using key databases for clinical, regulatory, and commercial Timeline/Pipeline Analysis: Expertise in conducted prospective analysis of the competitor landscape and provides input to franchise/brand/Pharma strategies through updated CI inputs. Communication/Presentation skills: Excellent communication ability to ensure that the scope of projects/initiatives and expectations are commonly understood between customers and stakeholders. Good presentation skills, ability to interface with cross-functional teams on a sound clinical and scientific base. Behavioral: Energetic and enthusiastic leaner and performer. Active participation in some key initiatives in team. Supports the development and implementation of innovation. Available and accessible to team members, managers etc. on timely basis Key Performance Indicators CI recommendations incorporated into all deliverables. Activities conducted in line with risk assessment plan. Ensures deliverables and activities adhere to CI communications plan. All deliverables, activities, presentations in line with agreed quality standards. All activities follow best practice and agreed processes. Highlights opportunities to improve processes and pilots new approaches. Legal and ethical considerations applied in all work activities. Education PhD/Master's Degree in Life Sciences. MBA from reputed institutes. Experience 5+ years of local Pharma work experience in Competitive Intelligence, Market Intelligence, Business Development & Licensing or consulting assignments. Languages Fluent spoken and written English essential Commitment To Diversity And Inclusion Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve. Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to diversityandincl.india@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards

Summary Holistic CI Surveillance of competitor products/company and Therapy area (TA) of interest Independently Set-up and Manage the CI process for given TA/ TAs To perform comprehensive CI analysis at franchise/brand/ disease area level and deriving actionable insights focused on strategic imperatives To evaluate impact of these developments on Novartis’ clinical/marketing programs; to ensure recommendations and key findings for further review/analysis and manage communication plan to right stakeholders. To provide proactive support and timely communicate competitive threats from external factors (Market, Competitor & Portfolio Analysis) and optimize opportunities in both clinical and marketing activities. To provide inputs into Clinical Development Plans (CDP) / Lifecycle Management Study (LCM/BOS) designs, situational analysis and strategic positioning. To Support Senior Insights Manager in coordinating inputs for situational analysis, key management presentations and workshops. About The Role Major accountabilities: Operational delivery Independently manage/ set-up CI process/engagement and monitoring of competitors in focus Working closely with global clinical, marketing and brand teams to add CI intel through secondary data analysis and preparing clear & concise presentations with detailed understanding of brand/TA, lifecycle elements and unmet need. Engage the stakeholders and effectively communicate the CI process, objectives and outcomes. Provides CI intel in internal meetings such as Scenario Planning pre-read preparation, clinical trial/pipeline report updates, Global Brand Team meeting preparations, brand/ CDP / LCM/BOS plan inputs etc Performing regular and ad-hoc analyses of identified competitors or TA, and is able to quantify the competitive threat from various external landscape changes. Provides recommendations and insights for the brand and development teams. Leverage innovative technological and automation resources for preparing CI deliverables by proper evaluation of competitor goals, assumptions, capabilities, and strategies Tracking external factors (Market, Competitor & Portfolio Analysis) influencing the development of a brand/TA. Capable to perform product comparison, attribute analysis and competitive developments in new areas like imaging, biomarkers, compliance trials etc. Developing strategic implications of ‘traffic-light’ news reports, including applicable team actions; managing communications with the team and external customers as necessary. Evaluating competitor goals, assumptions, capabilities, and strategies; Incorporates and communicates competitor analyses into effective alignment plans and recommendations and present key issues and learnings to ICT/IPT teams Identifies and understands the nature of the competitive threat and creating competitor profile including timeline assumptions and stakeholder preferences; Understands the intellectual property situation for the product; Expertise in SWOT analysis, PEST analysis etc. Functional excellence Expertise in all critical aspects of competitive intelligence and manages CI initiatives for a given TAs. Active participation in some key initiatives in team and at times- leading some of the initiatives- within team and cross-functional teams Supports the development and implementation of new ways of information presentation. Effort should be more on implementation of such ideas across/with the team. Brand/Therapy Area/Market/Pharma Knowledge: Fundamental/Advanced understanding of assigned therapy areas, NVS and competitor brands, market landscape, treatment trends and trail designs; understand drug development and commercialization elements. Strong analytical skills to grasp problems (complexity, context etc), the scope of the solution and effort estimation Region/Market Knowledge: Fundamental/Advanced understanding of the healthcare/pharma policies, Market access information, Knowledge on growing therapy areas. Information on the Pharma News sources for key business region/countries - The US, EU5, Japan, Emerging Market Countries. Tool/Portal/Database: Expertise in working with CI databases (e.g. Pharma Projects, Trial Trove etc.). Exposure to business intelligence tools (e.g. Qlik Sense). Conference Coverage: Expertise in conference coverage; Manage questions/challenges from internal Brand/Medical team on intelligence; capable using elicitation techniques Secondary Intelligence gathering: Command on setting up secondary intelligence alerts/tracking using Boolean, Mesh, web-crawlers etc.; Expert in using key databases for clinical, regulatory, and commercial Timeline/Pipeline Analysis: Expertise in conducted prospective analysis of the competitor landscape and provides input to franchise/brand/Pharma strategies through updated CI inputs. Communication/Presentation skills: Excellent communication ability to ensure that the scope of projects/initiatives and expectations are commonly understood between customers and stakeholders. Good presentation skills, ability to interface with cross-functional teams on a sound clinical and scientific base. Behavioral: Energetic and enthusiastic leaner and performer. Active participation in some key initiatives in team. Supports the development and implementation of innovation. Available and accessible to team members, managers etc. on timely basis Key Performance Indicators CI recommendations incorporated into all deliverables. Activities conducted in line with risk assessment plan. Ensures deliverables and activities adhere to CI communications plan. All deliverables, activities, presentations in line with agreed quality standards. All activities follow best practice and agreed processes. Highlights opportunities to improve processes and pilots new approaches. Legal and ethical considerations applied in all work activities. Education PhD/Master's Degree in Life Sciences. MBA from reputed institutes. Experience 5+ years of local Pharma work experience in Competitive Intelligence, Market Intelligence, Business Development & Licensing or consulting assignments. Languages Fluent spoken and written English essential Commitment To Diversity And Inclusion Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve. Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to diversityandincl.india@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards

Company Profile: Lennox International has been built on a heritage of integrity and innovation dating back to 1895. We are dedicated to providing trusted brands, innovative products and unsurpassed quality with responsive service. We are a Fortune 500 company and a world leader in residential and commercial heating, cooling, ventilation and refrigeration systems. We have started our operations in India in Chennai in 2010. Lennox India Technology Centre is a R&D Centre with Mechanical Analysis, Embedded – Software, Hardware and IT divisions. Our companies are spread across U.S, Europe, Asia Pacific and Australia Department: Absorbing the latest technologies and providing world class, efficient and quick deliverables to all within the organization and beyond – this is what we strive for. It is an everchanging process. Some things stay, some more evolve and some others take on a new path. It all converges to one factor – to deliver the best in the industry. We are a diverse stratum with similar goals and open culture. We work independently and yet together. The waft of a culture that nurtures you, lets you be seen and lets you be heard is what differentiates this part of Lennox International Inc. from all other companies. The IT department works with sharp-cut enterprise architecture and ensures compliance in every step. While these align us with the company policies, innovation and improvisation is always underway. With the best tools with hands-on like SAP, HANA, Hybris, Qlik, O365, DataBricks, R, EBX, Thingworx, Fortify, Netsparker, TestPlans, Selenium, CAD, TeamCenter and more!! Hop on our bandwagon and join the community. Responsibilities: Define the business use cases to support the operational business initiative • Define use cases for POC (proof of concept), as appropriate • Identifies and communicates risks (business, application, technical) associated with component or application implementation at the business level, and enterprise level • Participates in business and architecture planning sessions and anticipates future business and architecture changes and strategies • Responsible for devising solutions, solution architecture descriptions, and subsequent monitoring and governance of their implementation • Translates business objectives and processes into a conceptual architecture that describes key functional and non-functional requirements • Accountable for quality of the solution through the SDLC process. • Documents the “as-is” business process and use value stream mapping techniques to identify and unclog process bottlenecks. Requirements/Qualification: Strong functional configuration experience with ERP Systems (SAP) in modules such as SD (Sales & Distribution) & SAP GTS • Domain experience – Core Manufacturing / Logistics • SAP SD with extensive GTS experience • SAP GTS concepts (Foreign trade data, Compliance, Customs, Risk, Reporting etc) • Experience working on Logistics execution. • SAP Pricing, EDI & OTC process with integration with MM & FICO. • High level of motivation, self-starter, excellent at follow-up, team-player with ability to deliver within defined timelines • Advanced written and oral communication skills required • Advanced skills in preparing and delivering presentations required Qualifications • Requires a bachelor’s degree or equivalent combination of education and experience. • Requires at least 10 years of related experience. • A background in SAP SD & GTS and management exposure is a must have. • Ability to lead projects with an end-to-end view into planning, organization and execution • Excellent written, verbal, and presentation communication skills • Excellent analytical and technical skills • High level of motivation, self-starter, excellent at follow-up, team-player with ability to deliver within defined timelines, work under limited supervision and oversight • Willing to travel periodically based on business need

Mercer is seeking candidates for the following position based in the DLF GGN office: Manager – Metrics, Analytics & Reporting(D2) - UK Healthcare What can you expect? We are looking to hire a Manager in the UK Health Delivery Team The role will be responsible for working within the UK Teams, to deliver an excellent and consistent experience for the consultants to support them in renewal and market review of healthcare and protection policies for our clients This position is responsible for various professional activities for assigned moderate portfolios, including processing and technical checks of transaction, administration of Healthcare & Protection policies (covering Renewal and Market Review process), driving improvements, managing workflow, client communication, SLA monitoring and providing timely updates to the management. The incumbent in this role should have an overall understanding of the company strategy and the importance of their role in achieving the company targets and client satisfaction scores We will count on you to: Act as a process owner and subject matter expert for team members and stakeholders 70% Processing & technical check and 30% managerial activities Handling tasks for UK health insurance products – like GLA, GIP, PMI, Dental, Pension, etc. Excellent communication with clients, colleagues and providers Interpretation of policy terms and client requirements to draft Renewal or Market Review Report Good understanding of claims Underwriting process Enter, validate and provide data analysis for various data used in renewal process (employee headcount movement, claim history, underwriting details, premium changes etc.) Prepare various documents that are used in placement process and distributed by local client contacts to clients (Proposals, RFQ, Confirmation of Placement, Renewal Report, e-mails Creating reports, perform data analysis, including presentation of data insights Leading transition calls and creating process documents (e.g., SOPs, PMAPs etc.) Drive and Focus on the culture of First Time Right Mentoring and coaching new hires Ownership of timely delivery on all deliverables assigned to the team through effective planning and monitoring Mentoring a team directly on client deliverables in a transactional and project-based environment Accurate recording of time on appropriate financial system to ensure achievement of financial / chargeable hours target Own accountability by being able to help the teams troubleshoot issues in projects on both technical and business side Responsible for managing stakeholders and process SLAs Define, delegate and monitor the various employee engagement initiatives for the assigned shop viz; R&Rs, SPOT Award System and so on Drive improvement/ Lean ideas within the team Preparation of various process reports as and when delegated by managers Mailbox monitoring and ensuring effective SLA controls Identify the developmental and process training needs for team and ensuring trainings are organized for the team/individuals Complete ownership of the new-hire orientation and ensuring the new hire is settled Conduct the team meetings as per the set frequency and ensuring proper documentation Written and Verbal communication with onshore business partners Responsible for transactions processing and quality check Managing daily inventory and allocating work within the team Tracking the inventory status and sharing day end report with managers Act as a subject matter expert and providing floor support to colleagues Manage portfolio of complex client. Should act as a very strong point of contact for escalations for the entire offshore team for any assigned client deliverables. If there are any issues on the agreed deliverables, then should be able to articulate the same with the right message on the impact analysis. Define, delegate and monitor the various employee engagement initiatives for the assigned shop viz; R&Rs, SPOT Award System and so on Drive improvement/ Triple play ideas within the team Adhere to UK Health processes Ownership of delivery of tasks and proactively manage own workload Partner with internal/ external stakeholders to achieve best service for client Dealing with client and member queries (verbal and written), as appropriate in line with service level agreements to ensure timely client delivery Lead on continuous improvement within your team/location Develop and maintain appropriate technical knowledge and lead on market or legislative changes Support revenue reporting activity as appropriate Quality checking of colleagues work to ensure accuracy Attend client meetings as required Manage client relationships to support retention & growth Training, mentoring and technical lead for Consulting Delivery Participate in internal projects and lead when needed Be a champion of change within the team Support Team Leader on Risk and Compliance protocols Note: Applicants should be flexible working in shifts What you need to have? Knowledge & Skills: Graduate in any stream 8+ years’ experience Health products knowledge for UK Markets (preferred) Experience in Renewal and Market Review of Health insurance policies (preferred) Strong team collaboration and relationship building skills Good Interpretation and decision-making skills Strong command on MS office applications (Word, PowerPoint) Advanced knowledge of MS Excel (must) VBA knowledge will be an added advantage Strong experience in KT and transitions in BPO industry Strong verbal and written communication skills along with probing and articulation skills Advanced Logical, Data Analytical & Data Mining skills Strong knowledge/experience in project management Strong analytical, research and problem-solving skills, attention to details Ability to multitask, self-starter, positive attitude and an ability to adapt to an ever-changing environment Proficient in arithmetic calculations Knowledge of tools like HBB, GBM, MercerGold+ (preferred) What makes you stand out? (Additional Skills & Competencies Needed) Good knowledge and experience in health insurance Strong Communication and presentation Skills Strong analytical, research and problem-solving skills, attention to details Project Management Skills Knowledge of quality tools like six sigma, lean and kaizen Knowledge of VBA and BI Tools like power BI, QLIK etc. (Preferred) Mercer believes in building brighter futures by redefining the world of work, reshaping retirement and investment outcomes, and unlocking real health and well-being. Mercer’s more than 20,000 employees are based in 43 countries and the firm operates in over 130 countries. Mercer is a business of Marsh McLennan (NYSE: MMC), the world’s leading professional services firm in the areas of risk, strategy and people, with more than 85,000 colleagues and annual revenue of over $23 billion. Through its market-leading businesses including Marsh, Guy Carpenter and Oliver Wyman, Marsh McLennan helps clients navigate an increasingly dynamic and complex environment. For more information, visit mercer.com. Follow Mercer on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

Job Summary Stakeholder Management: Engage with senior stakeholders from CIB, Private Banking, and FP&A to gather requirements and translate business needs into technical solutions. Business-as-Usual (BAU) Operations: Oversee daily operations, ensuring the stability and accuracy of performance management dashboards and reports. Participate in projects covering full data lifecycle, end-to-end, from design, implementation, and testing, to documentation, delivery, support, and maintenance. Change Management: Drive digital transformation by supporting the migration from legacy data platforms to a modern technology stack. Data Engineering: Develop and optimize data pipelines, ensuring data accuracy, consistency, and accessibility for reporting. Team Leadership: Manage a team of three data professionals, providing guidance, setting priorities, and fostering a collaborative work environment. Process Improvement: Identify opportunities to enhance data processes, reporting efficiency, and automation. Understanding the financial processes end to end and working efficiently towards delivery of on demand CFO analytics to support specific business scenarios. Collaboration: Work closely with technology teams to implement scalable and efficient data solutions that meet business needs. Controls and governance – Ensure data integrity, security, and compliance with internal frameworks, implementing robust controls across reporting and data management process. Performing and documenting data analysis, data validation, and data mapping/design. Regulatory & Business Conduct Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Lead the [country / business unit / function/XXX [team] to achieve the outcomes set out in the Bank’s Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment.] * Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. [Insert local regulator e.g. PRA/FCA prescribed responsibilities and Rationale for allocation]. [Where relevant - Additionally, for subsidiaries or relevant non -subsidiaries] Serve as a Director of the Board of [insert name of entities] Exercise authorities delegated by the Board of Directors and act in accordance with Articles of Association (or equivalent) Key stakeholders GCFO COO Management & Leadership Team CFO – CIB, WRB and products Business Finance Teams Regional and Country CFOs TTO Finance and Functions Key Responsibilities Skills and Experience Process Management Data Visualization and Financial Reporting Project Planning and Agile Project Management Management of project scope Business Intelligence Identification & Management of project Risk/Assumptions/Issues/ Dependencies Proficiency in analytical tools and platforms Stakeholder Management Communication and presentation skills Banking Products Team Management SQL | PL-SQL Data Modelling | Data Pipeline | ETL Qualifications 10+ years of commercial project implementation experience ( Database | Data warehousing | ETL | BI | Big Data | Data Science ) Commercial experience working in Business Intelligence (SAP Analytics Cloud | Tableau | MS Power BI | MicroStrategy| Qlik ) Proficiency in SQL ( DML | DDL | DCL | TCL ) Commercial experience working on database/data warehouse projects ( Oracle | Exasol | SAP BW | Teradata ) Commercial experience creating ETL processes using data integration tools ( Dataiku | Informatica | Oracle DI | Talend | Datasphere | IBM DataStage) Effective communication skills, including presenting and influencing senior management. A high degree of integrity and ability to challenge the views and actions of others in a constructive manner Ability to work effectively under pressure, multi task, lead through ambiguities, influence where he/she does not have direct authority & build on unstructured formative situations A leader, a team player with the management ability and track record to secure the confidence and respect of the peers, stakeholders and the executive management team. Strong Analytical and Strategic mindset, coupled with a thorough understanding of business performance management outcomes Should have worked in a business finance function with strong FP&A background. Ability to understand and connect business drivers and rationale for and application of those relevant to the cost management process. Significant experience of working with senior management team and of interfacing with and influencing senior stakeholders. Strong ability to understand financial statements and its drivers and synthesize them into meaningful analyses as required. Develop analysis & interpretations as required to facilitate management decision making. Ability to culturally orient in diverse & international team environment and lead and inspire multi-disciplinary teams. About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together We Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What We Offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Business Unit Cubic Transportation Systems Company Details When you join Cubic, you become part of a company that creates and delivers technology solutions in transportation to make people’s lives easier by simplifying their daily journeys, and defense capabilities to help promote mission success and safety for those who serve their nation. Led by our talented teams around the world, Cubic is committed to solving global issues through innovation and service to our customers and partners. We have a top-tier portfolio of businesses, including Cubic Transportation Systems (CTS) and Cubic Defense (CD). Explore more on Cubic.com. Job Details Job Summary: We are seeking a hands-on and highly skilled Principal Data Analyst to join our dynamic DMAP team. The ideal candidate will have extensive experience in SQL, Power BI, data modeling, and a strong understanding of analytics and ETL processes. This role requires a proactive individual with strong analytical thinking, an appetite for learning emerging technologies, and a commitment to delivery excellence. Key Responsibilities Design, develop, and optimize Power BI reports and dashboards. Write and tune complex SQL queries and joins for data extraction and analysis. Develop advanced DAX measures and optimize performance. Implement Row-Level Security (RLS) and create scalable data models (star/snowflake schemas). Perform data transformations and integrate data from various sources. Collaborate with engineering and business teams to translate requirements into reporting solutions. Support Power BI Service administration and deployment best practices. Contribute to cloud-based data solutions using Azure services. Support change requests and provide production-level analytics support. Maintain data governance standards including GDPR and PII handling. Work closely on a daily basis with the backend engineering team to ensure seamless data integration and alignment of deliverables. Required Skills And Qualifications Minimum 5+ years of hands-on experience in: SQL (Advanced concepts, joins, regular querying) Power BI (Report development, DAX, RLS, performance tuning) Data Modeling (Tabular, star, snowflake) Analytics and ETL concepts Proficiency in Power BI Fabric, Data Connectors, and transformation techniques. Strong understanding of Azure components: Active Directory, Azure SQL, Azure Data Factory. Experience with data governance practices (GDPR, PII). Preferred Skills (Good To Have) Familiarity with Power BI license types and Service Admin tasks. Knowledge of Delta Tables, Databricks, Synapse, Data Lakes, and Warehouses. Exposure to QLIK Replicate, Oracle Golden Gate (OGG). Working knowledge of Power Automate, Logic Apps. Basic understanding of Python. Experience with other BI tools like Tableau, Google Data Studio. Microsoft Certified: Power BI Data Analyst Associate Awareness of data engineering and advanced analytics concepts. Soft Skills & Expectations Strong logical and analytical problem-solving abilities. High levels of initiative and proactiveness. Good communication skills – must be able to express ideas clearly and confidently in front of stakeholders. Willingness to learn new technologies and adapt to changing requirements. A committed and dependable work ethic; should not exhibit complacency. Worker Type Employee

Job Role: • Minimum 3 years of previous industry work experience will be preferred •In-depth understanding of database structure principles. • Knowledge of data mining and segmentation techniques, expertise in SQL and Oracle. • Familiarity with data visualization and data oriented. • Ability to document complex business processes and handle all types of customer requests. • Good communication skill in English; Math & Statistical analysis, ability to interpret and collate relevant data. • Should have working experience on on-premises and cloud-based data infrastructure handling large and diverse datasets • Experience in one or more of the below technologies is preferred • AWS/GCP/Azure • Kubernetes/Docker Swarm • Apache Hadoop & Apache Spark • Elastic Stack/Elk • Airflow / Prefect • MongoDB, Cassandra, Redis, Memcached and DynamoDB • MySQL, Cassandra, and Oracle SQL • PowerBI/Tableau/Qlik view

Senior Assistant Vice President EXL/SAVP/1392944 ServicesGurgaon Posted On 20 Jun 2025 End Date 04 Aug 2025 Required Experience 4 - 18 Years Basic Section Number Of Positions 1 Band D2 Band Name Senior Assistant Vice President Cost Code D000179 Campus/Non Campus NON CAMPUS Employment Type Permanent Requisition Type New Max CTC 2500000.0000 - 5000000.0000 Complexity Level Not Applicable Work Type Hybrid – Working Partly From Home And Partly From Office Organisational Group Analytics Sub Group Analytics - UK & Europe Organization Services LOB Consulting SBU Analytics Country India City Gurgaon Center EXL - Gurgaon Center 38 Skills Skill SAS MODELING RISK ANALYTICS CREDIT RISK SQL STATISTICA BANKING Minimum Qualification GRADUATION Certification No data available Job Description 1. Skilled in SAS, SQL and Automation. Would prefer if the candidate has experience in visualization tools like Power BI/Qlik/Tableau. 2. Good knowledge of Banking domain (specifically Credit Risk Analytics Domain). 3. The candidate should have excellent written and verbal communication skills 4. Good stakeholder management skills 5. Experience in Marketing Analytics especially tracking Have work experience of working on data science problems. Experience of working in Banking and Credit Risk, Statistics modeling techniques like liner and logistic regression, decision tree and random forest Exposure to IFRS9 model development with parameters like PD, EAD, LGD, understanding of Application and Behavioral Scorecard Development Understanding of collections and recoveries business aspects Good knowledge of SAS and SQL Good communication Skills Workflow Workflow Type L&S-DA-Consulting

Roles & Responsibilities: • Be responsible for the development of the conceptual, logical, and physical data models • Work with application/solution teams to implement data strategies, build data flows and develop/execute logical and physical data models • Implement and maintain data analysis scripts using SQL and Python. • Develop and support reports and dashboards using Google Plx/Data Studio/Looker. • Monitor performance and implement necessary infrastructure optimizations. • Demonstrate ability and willingness to learn quickly and complete large volumes of work with high quality. • Demonstrate excellent collaboration, interpersonal communication and written skills with the ability to work in a team environment. Minimum Qualifications • Hands-on experience with design, development, and support of data pipelines • Strong SQL programming skills (Joins, sub queries, queries with analytical functions, stored procedures, functions etc.) • Hands-on experience using statistical methods for data analysis • Experience with data platform and visualization technologies such as Google PLX dashboards, Data Studio, Tableau, Pandas, Qlik Sense, Splunk, Humio, Grafana • Experience in Web Development like HTML, CSS, jQuery, Bootstrap • Experience in Machine Learning Packages like Scikit-Learn, NumPy, SciPy, Pandas, NLTK, BeautifulSoup, Matplotlib, Statsmodels. • Strong design and development skills with meticulous attention to detail. • Familiarity with Agile Software Development practices and working in an agile environment • Strong analytical, troubleshooting and organizational skills • Ability to analyse and troubleshoot complex issues, and proficiency in multitasking • Ability to navigate ambiguity is great • BS degree in Computer Science, Math, Statistics or equivalent academic credentials