1129 Data Extraction Jobs - Page 34

Job Description: Join Pitney Bowes as Data Analyst Years of Experience: 3-5 years Job Location- Pune/ Noida The Job Your role as a Data Analyst will be on a cross-BU team, focused solely on the SendTech Business Unit. You will be an integral part of our talented team, supporting our continued growth. The position reports to the SendTech Renewals & Supplies Analytics Manager. You will coordinate with cross-functional stakeholders across Client Analytics, Growth Marketing, Product Marketing, Marketing Technology, and external Partners. In this role, you will be primarily focusing on data extraction, data curation, analysis ,visualization, optimization and storytelling. You will be coordinating with multiple stakeholders in your day-to-day work, to understand the data requirements and diligently delivering the asks. Your expertise and insights will be expected to help the stakeholders to take business decisions and influence campaign strategy. You will partner with marketing campaign managers, product marketers and external/internal partners to assess, identify trends and opportunities for growth through analysis of complex datasets and plan the data and business performance that adds significant business value. You will proactively analyze data to answer key questions for stakeholders with an eye on what drives business performance drivers, investigate and communicate which areas need improvement in efficiency and productivity Responsibilities include, but are not limited to: Work closely with stakeholders from Marketing, Revenue and Sales Operations to identify and understand the business objectives and focus on analytics requirements. Develop and maintain SQL queries, stored procedures and data pipelines to support business reporting. Ensure data accuracy and consistency across data sources and reports. Create, manage and optimize insightful reports including critical metrics, KPIs and dashboards using multiple data sources and deliver actionable insights to relevant decision-makers. Perform deep-dive data analysis to identify trends, patterns and opportunities for improvements. Develop a regular cadence of delivering data-driven insights to key stakeholders and executive leadership. Create and maintain SOPs and documentation for the process for data models and analysis. Required Qualifications: Bachelors in Technology or BS/MS in a quantitative/analytical discipline such as Analytics, Statistics, Economics, Data Science, and/or Applied Math. 4-5 year of experience in data analysis and reporting At least four years of experience with advanced SQL for data extraction, transformation and modelling. At least two years of experience with data visualization tool like Power BI Advanced-level proficiency in Microsoft Office (e.g., Excel and PowerPoint) Analytical thinker with a strong passion for visualization, analysis, and evangelizing data usage. Strong project management and prioritization skills. Must have the ability to manage multiple priorities in-order-to meet timelines. Prior experience delivering results and working and coordinating with delivery teams across time zones. Excellent written and verbal communication skills. Strong ability to influence senior leadership decision-making and secure executive level buy-in. Preferred Qualifications: Experience in B2B reporting. Experience with Python or R. Experience with marketing campaign planning, execution, reporting, and optimization, including basic understanding of key marketing terminology. Experience analyzing digital web marketing performance using tools like Google Analytics, Adobe Analytics, etc. We will: Provide the will: opportunity to grow and develop your career Offer an inclusive environment that encourages diverse perspectives and ideas Deliver challenging and unique opportunities to contribute to the success of a transforming organization Offer comprehensive benefits globally ( P B Live Well ) Pitney Bowes is an equal opportunity employer that values diversity and inclusiveness in the workplace. All interested individuals must apply online.

Greetings from Probus Insurance Broker Pvt Ltd !!!!! "Join our dynamic team as a Data Analyst and play a key role in transforming raw data into actionable intelligence that powers strategic growth." Role & Responsibilities -: 1. MS SQL / T-SQL - Joins, CTEs, Store Procedures, Window Functions, Subqueries & Derived Tables, Data Cleaning & Transformation, Incremental Load Logic. 2. Intermediate Data Visualization & Reporting - Power BI (Hands-on knowledge on working on data modeling, DAX, Power Query, Data flow, Custom visuals & drilldowns, Row-level security) 3. Python - Pandas, NumPy, PySpark, EDA & light scripting/logic building, 4. Excel and PowerPoint- Advance 5. Knowledge in drafting technical requirements and BRDs 5. Must Have knowledge in ETL, Data Pipelines, Data Lake, Data Warehousing, Cloud Technologies(preferable AWS) 6. AWS Basic Knowledge - S3, Glue, Redshift, Amazon Quick Sight Interested candidates can share resume on disha.doshi@probusinsurance.com APPLY NOW !!! FRESHERS CAN ALSO APPLY !!!

About the Role: Grade Level (for internal use): 11 The Team As a member of the Data Transformation team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead development of production-ready AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative. The Impact The Data Transformation team has already delivered breakthrough products and significant business value over the last 3 years. In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems. What’s in it for you Be a part of a global company and build solutions at enterprise scale Collaborate with a highly skilled and technically strong team Contribute to solving high complexity, high impact problems Key Responsibilities Design, Develop and Deploy ML powered products and pipelines Play a central role in all stages of the data science project life cycle, including: Identification of suitable data science project opportunities Partnering with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements Evaluation/interpretation of results and presentation to business leaders Performing exploratory data analysis, proof-of-concept modelling, model benchmarking and setup model validation experiments Training large models both for experimentation and production Develop production ready pipelines for enterprise scale projects Perform code reviews & optimization for your projects and team Spearhead deployment and model scaling strategies Stakeholder management and representing the team in front of our leadership Leading and mentoring by example including project scrums What We’re Looking For 7+ years of professional experience in Data Science domain Expertise in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.) Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures Expertise in probabilistic machine learning model for classification, regression & clustering Strong experience in feature engineering, data preprocessing, and building machine learning models for large datasets. Exposure to Information Retrieval, Web scraping and Data Extraction at scale OOP Design patterns, Test-Driven Development and Enterprise System design SQL (any variant, bonus if this is a big data variant) Linux OS (e.g. bash toolset and other utilities) Version control system experience with Git, GitHub, or Azure DevOps. Problem-solving and debugging skills Software craftsmanship, adherence to Agile principles and taking pride in writing good code Techniques to communicate change to non-technical people Nice to have Prior work to show on Github, Kaggle, StackOverflow etc. Cloud expertise (AWS and GCP preferably) Expertise in deploying machine learning models in cloud environments Familiarity in working with LLMs What’s In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Were more than 35,000 strong worldwide—so were able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the worlds leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Flexible DowntimeGenerous time off helps keep you energized for your time on. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIt’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email toEEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)

About the Role: Grade Level (for internal use): 11 The Team As a member of the Data Transformation team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead development of production-ready AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative. The Impact The Data Transformation team has already delivered breakthrough products and significant business value over the last 3 years. In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems. What’s in it for you Be a part of a global company and build solutions at enterprise scale Collaborate with a highly skilled and technically strong team Contribute to solving high complexity, high impact problems Key Responsibilities Build production ready data acquisition and transformation pipelines from ideation to deployment Being a hands-on problem solver and developer helping to extend and manage the data platforms Architect and lead the development of end-to-end data ingestion and processing pipelines to support downstream ML workflows Apply best practices in data modeling and building ETL pipelines (streaming and batch) using cloud-native solutions Mentor junior and mid-level data engineers and provide technical guidance and best practices What We’re Looking For 7-10 years of professional software work experience Expertise in Python and Apache Spark OOP Design patterns, Test-Driven Development and Enterprise System design SQL (any variant, bonus if this is a big data variant) Proficient in optimizing data flows for performance, storage, and cost efficiency Linux OS (e.g. bash toolset and other utilities) Version control system experience with Git, GitHub, or Azure DevOps. Problem-solving and debugging skills Software craftsmanship, adherence to Agile principles and taking pride in writing good code Techniques to communicate change to non-technical people Nice to have Core Java 17+, preferably Java 21+, and associated toolchain DevOps with a keen interest in automation Apache Avro Apache Kafka Kubernetes Cloud expertise (AWS and GCP preferably) Other JVM based languages - e.g. Kotlin, Scala C# - in particular .NET Core What’s In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Were more than 35,000 strong worldwide—so were able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the worlds leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Flexible DowntimeGenerous time off helps keep you energized for your time on. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIt’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email toEEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)

About the Role: Grade Level (for internal use): 10 The Team As a member of the Data Transformation team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead development of production-ready AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative. The Impact The Data Transformation team has already delivered breakthrough products and significant business value over the last 3 years. In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems. What’s in it for you Be a part of a global company and build solutions at enterprise scale Collaborate with a highly skilled and technically strong team Contribute to solving high complexity, high impact problems Key Responsibilities Design, Develop and Deploy ML powered products and pipelines Play a central role in all stages of the data science project life cycle, including: Identification of suitable data science project opportunities Partnering with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements Evaluation/interpretation of results and presentation to business leaders Performing exploratory data analysis, proof-of-concept modelling, model benchmarking and setup model validation experiments Training large models both for experimentation and production Develop production ready pipelines for enterprise scale projects Perform code reviews & optimization for your projects and team Spearhead deployment and model scaling strategies Stakeholder management and representing the team in front of our leadership Leading and mentoring by example including project scrums What We’re Looking For 3+ years of professional experience in Data Science domain Expertise in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.) Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures Expertise in probabilistic machine learning model for classification, regression & clustering Strong experience in feature engineering, data preprocessing, and building machine learning models for large datasets. Exposure to Information Retrieval, Web scraping and Data Extraction at scale OOP Design patterns, Test-Driven Development and Enterprise System design SQL (any variant, bonus if this is a big data variant) Linux OS (e.g. bash toolset and other utilities) Version control system experience with Git, GitHub, or Azure DevOps. Problem-solving and debugging skills Software craftsmanship, adherence to Agile principles and taking pride in writing good code Techniques to communicate change to non-technical people Nice to have Prior work to show on Github, Kaggle, StackOverflow etc. Cloud expertise (AWS and GCP preferably) Expertise in deploying machine learning models in cloud environments Familiarity in working with LLMs What’s In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Were more than 35,000 strong worldwide—so were able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the worlds leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Flexible DowntimeGenerous time off helps keep you energized for your time on. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIt’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email toEEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)

Were seeking a talented LLM App Senior Developer with a strong foundation in Python and JavaScript and Azure / AWS Cloud to join our team. The ideal candidate will have a passion for leveraging the power of LLMs to create innovative and efficient applications. Job Description: Responsibilities : Develop and maintain LLM-powered applications using Python/JavaScript on Azure or AWS cloud platforms. Integrate LLM apps with foundational models using multiple techniques and methods Design and develop Virtual Assistants, AI Workflows, and other LLM-powered apps that interface with a variety of different LLM models Leverage external data and content sources to ground LLM outputs Design and implement Integrations and APIs to augment the LLM Collaborate with cross-functional teams to understand business requirements and deliver solutions that meet their needs. Stay up to date with the latest advancements in LLM technology and cloud platforms. Required Skills (Must Have): Language: Strong proficiency in Python programming language. Cloud LLM API: Expertise with Azure OpenAI or AWS Bedrock service, foundation models, and integration Vector DB: Expertise with Azure AI Search service, or otherwise with AWS OpenSearch / Kendra for AI Search queries Prompt engineering: Strong Expertise with Prompt engineering and Prompt Design, including multiple prompting methods, for LLM apps Patterns RAG Expertise with building end-to-end RAG (Retrieval Augmented Generation) pipelines, using vector databases, LLM models, and tool integrations Experience with building conversational virtual assistants and chatbots Understanding of API integration and data workflows LLM framework: Experience with at least one LLM framework - Langchain, Llamaindex, or other LLM models - In-depth knowledge of LLM models and their applications. Advanced LLM/AI Development skills Experience with Agentic Architectures and AI Agents, and ability to create a solution using agents on either Azure or AWS Cloud Ability to design and develop scalable and efficient applications. Serverless : Experience with Azure Function Apps or AWS Lamba functions Cloud : Experience with Azure or AWS cloud platforms Excellent problem-solving and analytical skills. Strong communication and teamwork abilities. Preferred Skills (Good to Have): Experience with AI Workflows and Low-Code AI Workflow Builder tools, such as Copilot Studio, Azure Prompt Flows, AWS Prompt Flows Knowledge of AI Agents and building intelligent solutions using AI agent orchestrations. Knowledge of AI and machine learning frameworks (e.g., TensorFlow, PyTorch). Knowledge of building cloud services and cloud back-end integrations using Serverless models Familiarity with data extraction and transformation techniques. Experience with natural language processing (NLP) tasks. Qualifications : Bachelor s degree in computer science, Computer Engineering, or a related field. 3+ years of experience in software development. Experience with LLM applications and cloud platforms. Strong understanding of software development methodologies (e.g., Agile). Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Consultant

Our Purpose Title and Summary Senior Analyst, Big Data Analytics & Engineering Overview: Job Title: Sr. Analyst, Data Engineering, Value Quantification Team (Based in Pune, India) About Mastercard: Mastercard is a global technology leader in the payments industry, committed to powering an inclusive, digital economy that benefits everyone, everywhere. By leveraging secure data, cutting-edge technology, and innovative solutions, we empower individuals, financial institutions, governments, and businesses to achieve their potential. Our culture is driven by our Decency Quotient (DQ), ensuring inclusivity, respect, and integrity guide everything we do. Operating across 210+ countries and territories, Mastercard is dedicated to building a sustainable world with priceless opportunities for all. Position Overview: This is a techno-functional position that combines strong technical skills with a deep understanding of business needs and requirements with 5-7 years or experience. The role focuses on developing and maintaining advanced data engineering solutions for pre-sales value quantification within the Services business unit. As a Sr. Analyst, you will be responsible for creating and optimizing data pipelines, managing large datasets, and ensuring the integrity and accessibility of data to support Mastercard s internal teams in quantifying the value of services, enhancing customer engagement, and driving business outcomes. The role requires close collaboration across teams to ensure data solutions meet business needs and deliver measurable impact. Role Responsibilities: Data Engineering & Pipeline Development: Develop and maintain robust data pipelines to support the value quantification process. Utilize tools such as Apache NiFi, Azure Data Factory, Pentaho, Talend, SSIS, and Alteryx to ensure efficient data integration and transformation. Data Management and Analysis: Manage and analyze large datasets using SQL, Hadoop, and other database management systems. Perform data extraction, transformation, and loading (ETL) to support value quantification efforts. Advanced Analytics Integration: Use advanced analytics techniques, including machine learning algorithms, to enhance data processing and generate actionable insights. Leverage programming languages such as Python (Pandas, NumPy, PySpark) and Impala for data analysis and model development. Business Intelligence and Reporting: Utilize business intelligence platforms such as Tableau and Power BI to create insightful dashboards and reports that communicate the value of services. Generate actionable insights from data to inform strategic decisions and provide clear, data-backed recommendations. Cross-Functional Collaboration & Stakeholder Engagement: Collaborate with Sales, Marketing, Consulting, Product, and other internal teams to understand business needs and ensure successful data solution development and deployment. Communicate insights and data value through compelling presentations and dashboards to senior leadership and internal teams, ensuring tool adoption and usage. All About You: Data Engineering Expertise: Proficiency in data engineering tools and techniques to develop and maintain data pipelines. Experience with data integration tools such as Apache NiFi, Azure Data Factory, Pentaho, Talend, SSIS, and Alteryx. Advanced SQL Skills: Strong skills in SQL for querying and managing large datasets. Experience with database management systems and data warehousing solutions. Programming Proficiency: Knowledge of programming languages such as Python (Pandas, NumPy, PySpark) and Impala for data analysis and model development. Business Intelligence and Reporting: Experience in creating insightful dashboards and reports using business intelligence platforms such as Tableau and Power BI. Statistical Analysis: Ability to perform statistical analysis to identify trends, correlations, and insights that support strategic decision-making. Cross-Functional Collaboration: Strong collaboration skills to work effectively with Sales, Marketing, Consulting, Product, and other internal teams to understand business needs and ensure successful data solution development and deployment. Communication and Presentation: Excellent communication skills to convey insights and data value through compelling presentations and dashboards to senior leadership and internal teams. Execution Focus: A results-driven mindset with the ability to balance strategic vision with tactical execution, ensuring that data solutions are delivered on time and create measurable business value. Education: Bachelor s degree in Data Science, Computer Science, Business Analytics, Economics, Finance, or a related field. Advanced degrees or certifications in analytics, data science, AI/ML, or an MBA are preferred. Why Us? At Mastercard, you ll have the opportunity to shape the future of internal operations by leading the development of data engineering solutions that empower teams across the organization. Join us to make a meaningful impact, drive business outcomes, and help Mastercard s internal teams create better customer engagement strategies through innovative value-based ROI narratives. Location: Gurgaon/Pune, India Employment Type: Full-Time

Were seeking a talented LLM App Senior Developer with a strong foundation in Python and JavaScript and Azure / AWS Cloud to join our team. The ideal candidate will have a passion for leveraging the power of LLMs to create innovative and efficient applications. Job Description: Responsibilities : Develop and maintain LLM-powered applications using Python/JavaScript on Azure or AWS cloud platforms. Integrate LLM apps with foundational models using multiple techniques and methods Design and develop Virtual Assistants, AI Workflows, and other LLM-powered apps that interface with a variety of different LLM models Leverage external data and content sources to ground LLM outputs Design and implement Integrations and APIs to augment the LLM Collaborate with cross-functional teams to understand business requirements and deliver solutions that meet their needs. Stay up to date with the latest advancements in LLM technology and cloud platforms. Required Skills (Must Have): Language: Strong proficiency in Python programming language. Cloud LLM API: Expertise with Azure OpenAI or AWS Bedrock service, foundation models, and integration Vector DB: Expertise with Azure AI Search service, or otherwise with AWS OpenSearch / Kendra for AI Search queries Prompt engineering: Strong Expertise with Prompt engineering and Prompt Design, including multiple prompting methods, for LLM apps Patterns RAG Expertise with building end-to-end RAG (Retrieval Augmented Generation) pipelines, using vector databases, LLM models, and tool integrations Experience with building conversational virtual assistants and chatbots Understanding of API integration and data workflows LLM framework: Experience with at least one LLM framework - Langchain, Llamaindex, or other LLM models - In-depth knowledge of LLM models and their applications. Advanced LLM/AI Development skills Experience with Agentic Architectures and AI Agents, and ability to create a solution using agents on either Azure or AWS Cloud Ability to design and develop scalable and efficient applications. Serverless : Experience with Azure Function Apps or AWS Lamba functions Cloud : Experience with Azure or AWS cloud platforms Excellent problem-solving and analytical skills. Strong communication and teamwork abilities. Preferred Skills (Good to Have): Experience with AI Workflows and Low-Code AI Workflow Builder tools, such as Copilot Studio, Azure Prompt Flows, AWS Prompt Flows Knowledge of AI Agents and building intelligent solutions using AI agent orchestrations. Knowledge of AI and machine learning frameworks (e.g., TensorFlow, PyTorch). Knowledge of building cloud services and cloud back-end integrations using Serverless models Familiarity with data extraction and transformation techniques. Experience with natural language processing (NLP) tasks. Qualifications : Bachelor s degree in computer science, Computer Engineering, or a related field. 3+ years of experience in software development. Experience with LLM applications and cloud platforms. Strong understanding of software development methodologies (e.g., Agile). Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Consultant

As a BI Developer, you ll turn raw data into stunning visual stories that drive decisions. Collaborate with clients, create jaw-dropping dashboards, and lead end-to-end BI projects. If you love transforming insights into action and thrive in a vibrant consulting environment, we want you on our team! What You ll Tackle Each Day : End-to-End BI Implementation: Develop and manage the full BI lifecycle from data modelling and report building to delivery and post-implementation support. Tableau Development: Design, Develop, and maintain interactive and visually compelling dashboards and reports in Tableau. SQL Expertise: Write efficient SQL queries for data extraction, transformation, and analysis. PySpark experience is added advantage. Ability to independently manage end-to-end dashboard development projects with minimal supervision, taking full ownership of design, data integration, and deployment activities. Business Knowledge: Collaborate with clients to understand their business needs and provide actionable insights through BI solutions. Cross-Tool Integration: Experience with other BI tools such as Power BI or Qlik Sense. 5 to 7 years of experience in Business Intelligence, focusing on Tableau development and SQL, you consistently deliver impactful BI solutions. A strong understanding of data visualization best p

Were seeking a talented LLM App Senior Developer with a strong foundation in Python and JavaScript and Azure / AWS Cloud to join our team. The ideal candidate will have a passion for leveraging the power of LLMs to create innovative and efficient applications. Job Description: Responsibilities : Develop and maintain LLM-powered applications using Python/JavaScript on Azure or AWS cloud platforms. Integrate LLM apps with foundational models using multiple techniques and methods Design and develop Virtual Assistants, AI Workflows, and other LLM-powered apps that interface with a variety of different LLM models Leverage external data and content sources to ground LLM outputs Design and implement Integrations and APIs to augment the LLM Collaborate with cross-functional teams to understand business requirements and deliver solutions that meet their needs. Stay up to date with the latest advancements in LLM technology and cloud platforms. Required Skills (Must Have): Language: Strong proficiency in Python programming language. Cloud LLM API: Expertise with Azure OpenAI or AWS Bedrock service, foundation models, and integration Vector DB: Expertise with Azure AI Search service, or otherwise with AWS OpenSearch / Kendra for AI Search queries Prompt engineering: Strong Expertise with Prompt engineering and Prompt Design, including multiple prompting methods, for LLM apps Patterns RAG Expertise with building end-to-end RAG (Retrieval Augmented Generation) pipelines, using vector databases, LLM models, and tool integrations Experience with building conversational virtual assistants and chatbots Understanding of API integration and data workflows LLM framework: Experience with at least one LLM framework - Langchain, Llamaindex, or other LLM models - In-depth knowledge of LLM models and their applications. Advanced LLM/AI Development skills Experience with Agentic Architectures and AI Agents, and ability to create a solution using agents on either Azure or AWS Cloud Ability to design and develop scalable and efficient applications. Serverless : Experience with Azure Function Apps or AWS Lamba functions Cloud : Experience with Azure or AWS cloud platforms Excellent problem-solving and analytical skills. Strong communication and teamwork abilities. Preferred Skills (Good to Have): Experience with AI Workflows and Low-Code AI Workflow Builder tools, such as Copilot Studio, Azure Prompt Flows, AWS Prompt Flows Knowledge of AI Agents and building intelligent solutions using AI agent orchestrations. Knowledge of AI and machine learning frameworks (e.g., TensorFlow, PyTorch). Knowledge of building cloud services and cloud back-end integrations using Serverless models Familiarity with data extraction and transformation techniques. Experience with natural language processing (NLP) tasks. Qualifications : Bachelor s degree in computer science, Computer Engineering, or a related field. 3+ years of experience in software development. Experience with LLM applications and cloud platforms. Strong understanding of software development methodologies (e.g., Agile). Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Consultant

Go-To-Market Engineer 02-05 Bengaluru Full-Time About Bizdata Bizdata is a next-gen AI-powered integration and data automation platform. We help enterprises automate workflows across ERPs, cloud applications, and unstructured data sources without writing code. Our products like eZintegrations and Goldfinch AI Agent are transforming how companies handle system integrations, document intelligence, and data orchestration. Were looking for a GTM Engineer who thrives at the intersection of growth, automation, and data someone who can set up systems that drive scalable lead generation, enrich sales pipelines, and build the backbone of data-driven GTM operations. Role Overview As a GTM Engineer , you ll work directly with the Growth, Marketing, and Product teams to implement automation workflows for lead capture, enrichment, campaign execution, and pipeline insights. You will build tools, integrations, and scrapers to extract prospect data, configure APIs, and help scale outbound and inbound GTM motions across Bizdata s platforms. Key Responsibilities Lead Workflow Automation : Build and maintain scripts and workflows for managing, enriching, deduplicating, and scoring leads from various sources (job boards, LinkedIn, G2, etc.). Web Scraping & Data Extraction : Use tools (e.g., Python, BeautifulSoup, Puppeteer) to extract structured/unstructured data from websites, directories, and marketplaces (e.g., G2, Clutch, Oracle Cloud Marketplace). Cold Email Campaign Setup : Configure and automate outbound sequences using tools like Instantly, Smartlead, or Lemlist. Implement personalization using scraped and enriched fields. API Integrations : Set up and manage REST API configurations to fetch leads from third-party tools (e.g., Apollo, ZoomInfo, LinkedIn Ads, CRM, analytics platforms). Lead Source Integration : Connect multiple GTM tools and sources like CRM, Airtable, Notion, HubSpot, Slack, Google Sheets, and databases using Python, eZintegrations, or low-code platforms. Campaign Insights & Analysis : Track open rates, CTRs, reply rates, and pipeline conversions; generate actionable reports and dashboards to optimize campaign performance. ICP Targeting & Enrichment : Enrich data from public sources and APIs to map company attributes (industry, tech stack, hiring trends) and improve lead scoring models. Tool & Infra Management : Manage GTM tools, maintain credentials, handle API rate limits, and ensure system reliability across integrations. Required Skills & Experience Experience in Growth Engineering, Marketing Ops, Sales Engineering, or Data Automation roles. Strong Python scripting skills (pandas, requests, selenium/bs4). Familiarity with email campaign tools (e.g., Instantly, Smartlead, Mailshake). Hands-on experience with REST APIs, OAuth, and webhook-based integrations. Proficient with automation tools like eZintegrations, Make, n8n, or Airflow. Understanding of CRM tools (HubSpot, Pipedrive, Salesforce) and lead lifecycle. Knowledge of scraping frameworks and responsible scraping practices. Experience with Google Sheets / Excel + basic SQL is a plus. Good grasp of ICP definition, lead scoring, enrichment logic, and sales funnel metrics. Bonus Skills Experience working with LinkedIn Ads, job board APIs, or Google Search APIs. Familiarity with vector databases for lead deduplication. Experience setting up signal-based prospecting Knowledge of OpenAI or LLM-powered enrichment pipelines. What You ll Gain Opportunity to work closely with Bizdata s founders and GTM leaders. Build systems from scratch that fuel revenue growth and outbound scale. Be at the intersection of engineering, sales, and marketing in a high-growth startup. Ownership of your automation stack and freedom to bring your tools and ideas.

5-9 years In Data Engineering, software development such as ELT/ETL, data extraction and manipulation in Data Lake/Data Warehouse environment Expert level Hands to the following: Python, SQL PySpark DBT and Apache Airflow DevOps, Jenkins, CI/CD Data Governance and Data Quality frameworks Data Lakes, Data Warehouse AWS services including S3, SNS, SQS, Lambda, EMR, Glue, Athena, EC2, VPC etc. Source code control - GitHub, VSTS etc. Mandatory Competencies Python - Python Database - SQL Data on Cloud - AWS S3 DevOps - CI/CD DevOps - Github ETL - AWS Glue Beh - Communication At Iris Software, we offer world-class benefits designed to support the financial, health and well-being needs of our associates to help achieve harmony between their professional and personal growth. From comprehensive health insurance and competitive salaries to flexible work arrangements and ongoing learning opportunities, were committed to providing a supportive and rewarding work environment. Join us and experience the difference of working at a company that values its employees success and happiness.

We are seeking a skilled Salesforce Marketing Cloud Developer to join our growing marketing technology team. The ideal candidate will have a strong command of SFMC, especially in building and managing transactional email journeys, implementing complex dynamic email templates, and working with REST APIs. This role requires technical proficiency as well as the ability to collaborate with cross-functional teams to deliver data-driven marketing solutions. YOUR ROLE AT SIXT Design, build, and optimize automated transactional journeys using Journey Builder Develop and maintain dynamic email templates using AMPscript and SSJS Integrate SFMC with external systems via REST API, ensuring seamless data flow Create and manage sender profiles, delivery profiles, and subscription centers Write efficient and optimized SQL queries in Automation Studio for segmentation and data manipulation Utilize Data Views for reporting and data extraction Ensure compliance with data privacy laws and email best practices Troubleshoot and resolve technical issues within SFMC Collaborate with CRM, analytics, and marketing teams to align email marketing strategies with business goals YOUR SKILLS MATTER Bachelors/master s Degree in Computer Science or similar discipline 4-6 years of hands-on experience with Salesforce Marketing Cloud Strong experience with Journey Builder, Email Studio, Automation Studio, and Content Builder Proficient in AMPscript, SQL, and SSJS Familiarity with REST/SOAP API integrations in SFMC Experience working with Data Extensions, Data Views, and relational data models Knowledge of email deliverability, CAN-SPAM compliance, and email best practices Strong analytical, problem-solving, and communication skills Good to have SFMC certifications (e.g., Marketing Cloud Email Specialist, Marketing Cloud Developer) Good to have experience with real-time event-triggered messages Familiarity with tools like Salesforce CRM, Google Analytics, or any CDP platforms WHAT WE OFFER Cutting-Edge Tech: You Will be part of a dynamic tech-driven environment where innovation meets impact! We offer exciting challenges, cutting-edge technologies, and the opportunity to work with brilliant minds Competitive Compensation: A market-leading salary with performance-based rewards Comprehensive Benefits: Health insurance, wellness programs, and generous leave policies Flexibility Work-Life Balance: Our culture fosters continuous learning, collaboration, and flexibility, ensuring you grow while making a real difference. Hybrid Work policies

At Draup, the Harvester team plays a key role in gathering large-scale data from a wide range of public sources. This data powers our platform s machine learning models and strategic insights used by global enterprises. As a Associate Product Manager Technical , you ll support the development and improvement of our data extraction systems. You ll collaborate with engineering and data teams to help deliver product features, maintain documentation, and keep things moving smoothly. This role is perfect for someone early in their product journey who s eager to learn and grow in a technical environment. What You ll Do Assist with Requirements: Help collect and organize product requirements from internal stakeholders. Translate Needs to Tasks: Support the creation of clear and actionable user stories and documentation for the engineering team. Collaborate with Tech Teams: Work alongside engineers and data scientists to understand how things work and help with testing and tracking progress. Support Product Development: Help monitor ongoing tasks, coordinate with team members, and assist with feature testing and rollout. Maintain Documentation: Keep product and process documentation up to date and easy to understand. Coordinate Meetings: Support sprint planning, team check-ins, and backlog grooming sessions. Learn Grow: Build your product thinking and technical knowledge through hands-on experience and mentorship. Who You Are A Bachelor s degree in Engineering, Computer Science, or a related field. An MBA with strong technical understanding is also welcome. 1 2 years of experience in a product management, business analyst, or similar role. Strong communication skills, both verbal and written. Proactive, organized, and eager to work across teams. Comfortable with basic technical concepts and interested in backend systems and data platforms. Bonus if You Have Knowledge of querying databases using SQL, NOSQL or similar tools. Exposure to data ingestion, web scraping, or large-scale backend systems. Familiarity with tools or platforms like JIRA, Airflow, Redis, MongoDB, Elasticsearch, or Puppeteer/Playwright. Experience working in Agile environments or using task-tracking tools like Confluence and JIRA. Why Join Draup Work on real-world challenges that power decision-making at top enterprises. Learn from experienced engineers and product leaders. Be part of a collaborative, growth-focused team. Build your career at the intersection of data, product, and technology.

As a BI Developer, you'll turn raw data into stunning visual stories that drive decisions. Collaborate with clients, create jaw-dropping dashboards, and lead end-to-end BI projects. If you love transforming insights into action and thrive in a vibrant consulting environment, we want you on our team! What you'll Tackle Each Day End-to-End BI Implementation: Develop and manage the full BI lifecycle from data modelling and report building to delivery and post-implementation support. Tableau Development: Design, Develop, and maintain interactive and visually compelling dashboards and reports in Tableau. SQL Expertise: Write efficient SQL queries for data extraction, transformation, and analysis. PySpark experience is added advantage. Ability to independently manage end-to-end dashboard development projects with minimal supervision, taking full ownership of design, data integration, and deployment activities. Business Knowledge: Collaborate with clients to understand their business needs and provide actionable insights through BI solutions. Cross-Tool Integration: Experience with other BI tools such as Power BI or Qlik Sense. Qualifications 5 to 7 years of experience in Business Intelligence, focusing on Tableau development and SQL, you consistently deliver impactful BI solutions. A strong understanding of data visualization best practices and BI architecture ensures that your dashboards and reports are both visually compelling and highly functional. Exited to work on Gen AI innovations apart from the day-to-day project work Experience in implementing BI solutions for complex business scenarios, you solve real-world challenges through data-driven insights. Standing out from the crowd with your unique expertise and problem-solving abilities, you contribute as a key team member. Known as a go-getter , you approach every project with enthusiasm and drive, ensuring high-quality and timely delivery, even in fast-paced environments. As a mentor and collaborator , you pave the way for others, contributing to a positive, innovative team dynamic. Your innovative mindset helps you find creative ways to leverage data, consistently turning insights into actionable strategies. Not just a hard worker but a fun one , you help foster an enjoyable work environment where collaboration and innovation thrive, making the journey as rewarding as the outcome.

Greeting of the Day... One of my client is looking for Quadient Inspire developer/Tech Lead on Urgent basis. Location: Pan INDIA Experience: 3-12 Years NP: Immediate-45 days Seeking a skilled Developer with a strong background in Quadient Inspire and a deep understanding of the Insurance/Banking domain. With 3 to 12years of experience, the ideal candidate will contribute to innovative projects, enhancing our capabilities in delivering cutting-edge solutions to our clients. This role offers the opportunity to work in a dynamic environment, driving significant impact in the financial technology space. Design customer communications and document processing workflows using Quadient Inspire.(Scaler, Designer, Interactive) •Develop and configure Quadient Inspire applications and templates to ensure efficient and effective document production. •Write, maintain, and optimize scripts and code to automate document processing and data extraction tasks utilizing configuration driven design methodologies. •Conduct thorough testing and debugging of Quadient Inspire solutions to ensure high-quality and error-free output. •Troubleshoot and resolve issues related to document composition, formatting, data integration, and output generation. •Integrate Quadient Inspire with other systems and platforms, such as CRM, ERP, or other content management systems. •Provide guidance and support to end-users on Quadient Inspire functionalities, best practices, and troubleshooting Please share me your resume here chanchal@oitindia.com

Job Title: Generative AI Developer Job Description: We are seeking a skilled Generative AI Developer with hands-on experience in Large Language Models (LLMs) , prompt engineering , and modern GenAI solution design. The ideal candidate should be comfortable working with Retrieval-Augmented Generation (RAG) , Agents frameworks, and AWS Bedrock , with a basic understanding of LLMOps practices. Additionally, proficiency in Streamlit for developing quick front-end prototypes of GenAI applications is highly desirable. The role involves building scalable, real-world GenAI applications and continuously exploring advancements in the field of Generative AI. Key Responsibilities: Develop and maintain GenAI solutions using LLMs, RAG pipelines, and agent-based workflows. Integrate LLMs into applications using APIs and cloud-based services like AWS Bedrock . Conduct experiments and research on the latest GenAI advancements and implement proof-of-concepts (PoCs). Contribute to LLMOps practices including prompt versioning, testing, and basic monitoring. Collaborate with architects, data engineers, and DevOps teams to build scalable GenAI solutions. Technical Requirements: 6-8 years of total experience with at least 3+ years of hands-on experience in AI/ML or NLP. Hands-on experience working with LLMs (e.g., GPT, Claude, LLaMA, Mistral). Understanding of RAG workflows and experience with vector databases (e.g., FAISS, Pinecone, OpenSearch). Exposure to agent frameworks like Crewai, LangGraph, Semantic Kernel, or custom orchestrators. Familiarity with AWS Bedrock and prompt orchestration through tools like LangChain or PromptLayer. Knowledge of basic LLMOps practices such as prompt versioning, monitoring, and logging. Proven experience in prompt engineering designing few-shot examples, controlling hallucinations, and optimizing outputs. Proficient in Streamlit for building lightweight, interactive front-ends. Strong programming skills in Python and experience with REST APIs. Good in Deep Learning architectures: RNN, CNN, Transformer-based models Experience with NLP using open-source libraries (e.g., spaCy, Hugging Face, NLTK) Familiarity with data storage and search systems such as PostgreSQL , Elasticsearch , or similar. Preferred Skills: Exposure to document processing pipelines and unstructured data extraction. Knowledge of MLOps and CI/CD tools (e.g., GitHub Actions, Docker). Prior experience integrating GenAI into real-world applications Soft Skills: Strong analytical and problem-solving skills with the ability to break down complex challenges. Curiosity and initiative in researching new GenAI trends and applying them practically. Good communication and collaboration skills, especially in a cross-functional team environment.

Business Development Manager - Pune - Tempest Advertising Business Development Manager Responsibilities: Identify new business leads and target markets through research and analysis. Develop and implement sales and marketing strategies to attract new clients. Negotiate and close sales deals with new clients. Develop and implement a strategic plan to target new clients and markets in the digital marketing space. Collaborate with different teams, including marketing, sales, and product development, to ensure the effective execution of business development initiatives Requirements: Experience working in Pune s media houses is preferable. Proven advertising and digital marketing agency experience in business development and sales, with a track record of successfully securing new business for advertising and digital marketing services. Alternatively, experience in space selling in Pune or the Rest of Maharashtra media industry. Strong understanding of advertising, space marketing, and acquiring new business enquiries Excellent written and verbal communication and interpersonal skills (English, Marathi and Hindi) with the ability to build strong relationships with clients Awareness about Pune and Maharashtra market potential and contacts Strong analytical and problem-solving skills, with the ability to assess and evaluate potential business opportunities. Ability to work independently as well as in a team. Bachelor s degree in marketing, business, or other related fields Prior experience in cold calling 2 years of experience in generating leads using Sales Navigator Excellent email writing skills Excellent knowledge of data extraction tools like Lusha, Apolo, and Snovia among others Active social media presence Minimum 5 years overall experience

Implements and develops customer deliverables independently using Syniti methodology and tools that meet or exceed customer requirements Develop and test all technical solutions per functional specifications and conduct user training as needed Demonstrating a strong understanding of Syniti s Data Migration / Data Governance methodology Demonstrating strong proficiency in Syniti s tools, working to prescribed development standards Good understanding of business processes for assigned functional area Provide expert level business analysis on the following SAP modules FI, CO, MM, SD, PM, PP, PS Implements and develops customer deliverables using Syniti methodology and tools that meet or exceed customer requirements Creation and Maintenance of SAP Data Migration plan SAP Data Extraction, Transform and Load Demonstrating a strong knowledge of underlying technical data structures and definitions of assigned functional process area Developing data migration / governance rules in Syniti s tools as per supplied specification Contributing to integrated data migration design for assigned process area through data analysis Designing, creating and executing reports in alignment to project deliverables Creating and maintaining data load programs Maintaining related documentation Execution of end to end data loads and reconciliations Supporting and mentoring junior colleagues QUALIFICATIONS: Degree level qualification in Computer Science (or other technology related field) 5+ years of ERP techno functional or functional experience, SAP preferred Experience in ETL / Data Migration / Data Quality / Data Analysis Experience with data quality analysis, statistical analysis and/or modeling Experience mining and analyzing transactional electronic data Proficient in DSP, SAP Data Service, SAP Information Steward or other Data Migration tools Proficient in MS SQL (query skills, table structure and relational databases) Functional ERP (SAP) experience Project Experience: Multiple ERP implementations Experience with T SQL Database experience SQL Server, Oracle etc. Proven experience effectively prioritizing workload to meet deadlines and work objectives Proficient in MS Office Excel / Word / Access

Summary -Act as a Sales Force Effectiveness business partner to the sales leaders by designing & implementing Sales Force Effectiveness deliverables including measuring product access and sales performance, segmentation & Targeting, account planning, incentive calculation, CRM system management & creating insights through market analytics. Contribute to the definition of a roadmap on how to excel through sales effectiveness and efficiency in the future. Track all relevant KPIs and sales performance in a standardized manner and be able to comply with future requirements of the market. About the Role Major accountabilities: Manage the Sales Force Effectiveness team or lead a key process/service within the team -Setup infrastructure and systems in close alignment with Regional Commercial Excellence team (CRM, Analytics, Dashboards, Insights, etc.) and ensure high data quality and utilization -Implement standardized Sales Force Effectiveness systems, tools, analytics, performance dashboards and quantitative and qualitative KPIs -Manage Field Force productivity and improve quality and transparency of resource allocation decision making by targeting and segmentation, territory design/ alignment, Field Force capacity planning, product allocation, call plan design and monitoring, account planning and customer acquisition strategies and action plans, performance measurement, monitoring and Field Force ROI analysis -Maintenance of CRM system including data extraction and monitoring KAM standards -Drive the systematic generation of insights and generating recommendations for the business -Ensuring the compilation and monthly analysis of market data -Creation of ad hoc market, product and business analysis based on internal and external data -Create presentations for the sales leadership team -Develop, upgrade and monitor Field Force incentive systems -Align strategic company and Business Unit objectives with sales and promotion plans and incentive schemes -Support projects for the business unit that involve resource allocation (e.g. launch planning) -Reporting of technical complaints / adverse events / special case scenarios related to Novartis products within 24 hours of receipt -Distribution of marketing samples (where applicable) Key performance indicators: Timeline, quality and budget of projects - Management of systems to ensure accurate reporting e.g. customer calls (CRM) and account planning activities and others - Accurate implementation of the incentive scheme and payment calculations - Implementation & delivery of launch and post launch measurements Minimum Requirements: Work Experience: Sales in Healthcare / Pharma / related business. Commercial experience and/or leadership experience in Healthcare. Skills: Bi (Business Intelligence). Business Analysis. Business Dashboards. Capacity Planning. Cooling Systems. Customer Acquisition Strategies. Customer Retention. Customer Service. Data Extraction. Data Quality. Management Skills. Merchandising. Performance Measurement. Salesforce Crm. Security Policies. Self-Motivated. Languages : English. Benefits and Rewards: Read our handbook to learn about all the ways we ll help you thrive personally and professionally:

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Maintaining forecast models for healthcare financial forecasting Understand and interpret the key drivers of health care trends; projecting expected revenue and cost Supporting cross-business analytics (Commercial, Medicare, & Medicaid) in developing consistent and appropriate modeling Conducting in-depth data extractions and analyses to provide actionable insights and drive decision-making Identifying and exploring new areas for analytical development in partnership with key stakeholders Developing high-quality written communications, persuasive presentations, and compelling deliverables tailored to client needs Designing analytics and extracting data leveraging technical skills in R, Python, Excel, SAS, and SQL Mentoring junior team members and training sessions to build internal capabilities Reviews work performed by others and provides recommendations for improvement. Lead analysts in to support and enhance the forecasting & reporting requirements of various clients Identify inefficiencies in process and models and proactively take steps to implement changes Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelors degree in Mathematics, Statistics, Science, Engineering, Economics, or another related technical field from an accredited college or university Total relevant work experience of 10+ years in Financial or Insurance domain Of which, 5+ years of actuarial or analytics experience in the US healthcare market Experience building analytics models using SAS or SQL or other programming system Extensive experience in building and maintaining Excel based models Experience in designing and executing complex analyses, including data extraction and analysis using R, Python, SQL, SAS, and/or VBA Advanced Proficiency in SAS (Statistical Analysis System) or SQL (Structure Query Language) or other programming system Proven ability to create and maintain efficient and scalable models Proven solid written and verbal communication skills and experience interacting with senior management #GEN At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone"“of every race, gender, sexuality, age, location and income"“deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes "” an enterprise priority reflected in our mission. #njp

We are seeking a skilled Pyramid BI Analyst to join our dynamic team. In this role, you will leverage Pyramid Analytics platform to transform complex data into actionable insights, driving informed business decisions. Your expertise will empower stakeholders across the organization to make data-driven choices with confidence. Roles and Responsibilities Responsibilities: Develop and maintain dashboards, reports, and data visualizations using Pyramid Analytics tools to support business decision-making. Identify trends, patterns, and anomalies in data to provide insights and recommendations. Administer and manage Pyramid BI platform, ensuring optimal performance and availability. Monitor system performance, identify issues, and implement solutions to enhance efficiency. Design and implement data models that integrate data from sources like Salesforce, AWS etc. Replicate reports and dashboards from Tableau CRM and other tools to Pyramid Analytics Collaborate with stakeholders to understand their data needs and provide tailored reports/dashboards. Provide training and support to end-users on Pyramid BI functionalities. Stay updated with the latest Pyramid BI features and best practices. Requirements: Strong knowledge of Pyramid BI architecture, components, analytic models and functionalities. Familiarity with Pyramid's PYRANA query engine is a plus. Strong experience with Pyramid Analytics, including data preparation, business analytics, and data science modules. Proficiency in SQL for data extraction and manipulation. Experience with other BI tools like Power BI or Tableau is advantageous. Excellent understanding of Pyramid licenses, user types and access controls. Excellent problem-solving skills and attention to detail. Strong communication and interpersonal skills. Ability to work independently and as part of a team. Preferred Qualifications: 3+ years’ experience in a business intelligence or data analytics role, with hands-on experience using Pyramid Analytics. Certification in Pyramid BI or related technologies. Experience with other BI tools (e.g., Power BI, Tableau). Knowledge of data warehousing concepts. Experience in the Automobile sector is plus

The Apex Group was established in Bermuda in 2003 and is now one of the worlds largest fund administration and middle office solutions providers. Our business is unique in its ability to reach globally, service locally and provide cross-jurisdictional services. With our clients at the heart of everything we do, our hard-working team has successfully delivered on an unprecedented growth and transformation journey, and we are now represented by over circa 13,000 employees across 112 offices worldwide.Your career with us should reflect your energy and passion. Thats why, at Apex Group, we will do more than simply empower you. We will work to supercharge your unique skills and experience. Take the lead and well give you the support you need to be at the top of your game. And we offer you the freedom to be a positive disrupter and turn big ideas into bold, industry-changing realities. For our business, for clients, and for you Responsibilities Assist in the development and implementation of data analytics strategies, frameworks, and methodologies aligned with organizational goals and objectives. Drive the identification and exploration of data-driven opportunities to optimize business performance, improve operational efficiency, and achieve strategic objectives. Collaborate with senior leaders and stakeholders to define analytical requirements, establish key performance indicators (KPIs), and develop metrics to measure business performance and progress. Design and implement advanced analytical models and algorithms to extract insights, uncover patterns, and make predictions using large and complex data sets. Provide thought leadership and technical expertise in data analysis, statistical modelling, and machine learning techniques to address complex business problems and support strategic decision-making. Develop and maintain data governance frameworks, data quality standards, and data management practices to ensure accuracy, integrity, and consistency of data assets. Lead cross-functional teams in the design and delivery of data visualizations, dashboards, and reports that effectively communicate insights and drive action. Stay up-to-date with emerging trends, technologies, and best practices in data analytics, and provide recommendations for their adoption to enhance analytical capabilities. Mentor and coach junior analysts, fostering their professional growth and supporting their development of advanced analytical skills. Collaborate with data engineering teams to ensure efficient data collection, integration, and preparation for analysis purposes. Present complex findings, insights, and recommendations to senior leaders and stakeholders in a clear, concise, and compelling manner. Foster a data-driven culture within the organization by promoting the value of data, advocating for data-driven decision-making, and driving data literacy initiatives. Bachelors degree in a quantitative field such as Statistics, Mathematics, Economics, or Computer Science. A Masters or Ph.D. degree is strongly preferred. 10+ years of extensive experience as a Data Analyst, with a significant portion of experience in a senior or lead role. Proven track record of designing and implementing data analytics strategies and driving successful data-driven initiatives. Expert proficiency in SQL for data extraction, manipulation, and analysis. Advanced programming skills in Python/R for statistical analysis, predictive modelling, and machine learning. In-depth knowledge of statistical analysis techniques, predictive modelling, and advanced machine learning algorithms. Strong experience with data visualization tools such as Tableau, Power BI, or similar. Extensive experience with data blending, preprocessing, and automation tools within PowerBi or similar. Solid understanding of database structures, data warehousing concepts, and data governance principles. Exceptional analytical and problem-solving skills, with the ability to tackle complex business challenges and provide innovative solutions. Excellent leadership, strategic thinking, and stakeholder management abilities. Exceptional communication and presentation skills, with the ability to influence and inspire stakeholders at all levels of the organization. Proven ability to work independently, manage multiple projects, and prioritize effectively. Preferred Qualifications Experience in implementing data analytics solutions in cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of big data technologies such as Hadoop, Spark, or similar. Familiarity with data science platforms and libraries (e.g., TensorFlow, PyTorch, scikit learn. Strong business acumen and the ability to align data analysis efforts with organizational goals and strategies. Experience in leading and managing cross-functional teams. DisclaimerUnsolicited CVs sent to Apex (Talent Acquisition Team or Hiring Managers) by recruitment agencies will not be accepted for this position. Apex operates a direct sourcing model and where agency assistance is required, the Talent Acquisition team will engage directly with our exclusive recruitment partners.

Job Summary: We are seeking a highly skilled and motivated Data Analyst to join our growing data and analytics team. This is a pivotal role in shaping the organizations digital transformation journey, leveraging data-driven insights to optimize business performance and enhance customer experiences. The ideal candidate will have strong technical expertise in SQL, Google BigQuery, and data pipeline development , combined with a deep understanding of business processes, data analytics, and stakeholder management . As a Data Analyst, you will work closely with cross-functional teams to gather and document business requirements, develop data-driven solutions, and provide insights from multiple data sources such as Salesforce, Google Ads, GA4, and SFMC (Salesforce Marketing Cloud) . Additionally, you will play a critical role in supporting data science projects by collaborating with engineering teams to build and maintain efficient data pipelines. Requirements: Education Experience: Bachelor s or Master s degree in Computer Science, Information Systems, Business Analytics, or a related field. 3-5 years of experience as a Business Analyst in a data-driven environment. Proven experience working with SQL and Google BigQuery for data extraction and transformation. Experience with Salesforce, Google Ads, GA4, SFMC, and other marketing analytics platforms . Hands-on experience supporting data science and analytics projects . Technical Skills: Strong SQL skills with expertise in querying large datasets . Hands-on experience with Google BigQuery and cloud-based analytics solutions . Familiarity with ETL processes and data pipeline development . Proficiency in data visualization tools (Tableau, Looker, Power BI, etc. ) is a must. Knowledge of Python or R for data analysis is desirable.

About Us: LdotR is an online brand protection service company, offering businesses the right solution and services to protect, manage and benefit from their digital assets in the online space. We work across all digital platforms - Domains, Website, Social Media, Online Marketplaces, and App Stores to identify, assess and nullify brand infringements. About the Role: We are looking for an experienced Data Scraping Specialist to help us extract and structure data from leading social media platforms at scale. The ideal candidate will have hands-on expertise with scraping tools, APIs, and large-scale data processing. Key Responsibilities: Design and develop custom scraping solutions to extract public data from platforms like Instagram, Facebook, X (Twitter), LinkedIn, YouTube, etc. Handle large-scale scraping tasks with efficiency and resilience against rate-limiting and platform-specific restrictions. Clean, normalize, and structure the scraped data for analysis or downstream applications. Maintain scraping scripts to adapt to frequent platform changes. Ensure compliance with data protection policies and terms of service. Required Skills: Proficiency in Python and scraping libraries (e.g., Scrapy, BeautifulSoup, Selenium, Playwright). Experience with API integration (official or unofficial social media APIs). Familiarity with rotating proxies, headless browsers, and CAPTCHA-solving techniques. Strong understanding of data structuring formats like JSON, CSV, and databases (MongoDB, PostgreSQL, etc.). Experience with cloud-based scraping and storage solutions (AWS/GCP preferred). Good to Have: Knowledge of NLP or data analytics for social media sentiment or trend analysis. Understanding of GDPR and CCPA compliance. Prior work with third-party scraping platforms or browser automation tools. What We Offer: Opportunity to work on impactful, large-scale data projects. Flexible work arrangements. Competitive compensation based on experience and delivery.