50 Tableau Jobs in Mumbai

Designation: AM / MT Data Science (Data Analyst) Location: Mumbai  Work Experience: 0.6 months to 3 years Qualification: Bachelors or Masters degree in Engineering,Statistics, Mathematics, Computer Science or related fields roles and responsibilities Data Analysis & Exploration: Analyse structured and unstructured data to identify trends, patterns and actionable insights Perform data profiling, cleaning and transformation Assist in developing dashboards, visual stories using tools like TableauModel development support: Collaborate with Data scientist in Feature engineering, data cleanup / transformation and modelevaluation Support testing and validation of ML/AI models using Python Help interpret model output and translate results for businessBusiness Understanding and Insights: Participate in discussions with business to understand business problems Document, track and report the progress Help in defining the metrics and evaluating impact of AI/ML models post deploymentAI initiatives (not mandatory) Support GenAI workflows (Prompt engineering, annotation, evaluation) Assist in model testing, output comparison or basic RAG pipeline use cases Required Skills Bachelors or Masters degree in Engineering, Statistics, Mathematics, Computer Science or related fields Strong Knowledge of Excel, Google Sheets and SQL Familiarity with Python (Pandas, NumPy, Matplotlib) Analytics and problem solving mindset Understanding of basic ML concepts, Jupyter notebooks etc. Awareness of NLP/LLM concepts (not mandatory)  

We are currently hiring for a Decision Analytics Marketing Analytics position and would like to check your interest for this opportunity.Please find the role details belowRole Decision Analytics Marketing Analytics Experience 8 + Years Location: Bangalore /Pune /Mumbai /Noida /Gurugram /Chennai Must Have Skills 8 plus years of experience applying analytics to solve complex marketing challenges Strong SQL and Python for data manipulation analysis and insight generation Hands on experience with marketing tech tools including Google Analytics GA4 Adobe Analytics Salesforce Marketing Cloud Marketo or equivalent Ability to identify patterns solve complex problems and extract insights from structured and unstructured data Strong communication storytelling and influencing skills to translate complex data into clear insights that support decision making Experience in campaign performance optimization including MMM and MTA Strong cross functional collaboration with Marketing leaders and Marketing Science teamsGood to Have Degree in computer science statistics mathematics or physical sciences Experience with data governance reporting ROI analysis Experience in fast paced global organizations Knowledge of Tableau for dashboards and automated reporting Experience working with marketing data in the travel domain Strong operational improvement mindsetIf this opportunity interests you please reply with your updated resume and the following details Total Experience Relevant Experience Current CTC Expected CTC Notice Period Preferred LocationLooking forward to your response. Thanks and regards Capgemini HR Team

Location - LTIM Pan IndiaExperience - 5+to 12+ yrsGeneric JD-Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS/GCP, AI/ML, NLP Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model DeploymentJD_ More than 6 years of experience in Data Engineering, Data Science and AI / ML domainExcellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc.Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop)Experience in Cloud native skills.Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an assetAnalytical mind and business acumen and Strong math skills (e.g. statistics, algebra)Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable.Experience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc.Great communication and presentation skills. Should have experience in working in a fast-paced team culture.Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc.Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databasesGood understanding of applied statistics skills, such as distributions, statistical testing, regression, etc.Should be a data-oriented person with analytical mind and business acumen.

We are currently hiring for the position of SFMC CDP Data Cloud Developer at Capgemini. Your profile aligns with our requirements, and we would like to share the role details for your review. Role: SFMC CDP Data Cloud DeveloperGrade: C1 Experience Required: 6 to 10 years Location Options: Hyderabad, Bangalore, Chennai, Mumbai, Kolkata, Pune, Noida, Gurugram Role Responsibilities:Drive discussions on SFMC user stories and requirements with stakeholdersArchitect solutions across Marketing and CRM landscapeLead end to end SFMC deliverables for large marketing initiativesCreate use cases, user stories, and proof of conceptsMap Marketing Cloud data models to CRM solutionsDevelop training plans and conduct end user sessionsWork extensively on Email Studio including A B testing, segmentation, personalization, and triggered sendsAct as a key Capgemini representative to bridge business and technical teamsCreate HLD documents and support proposal responses and RFPsProvide best practices for SFMC and CDP implementation and deploymentSupport Salesforce Data Cloud Lead on technical estimations and project planningCoordinate with Salesforce support on upgrades, patches, and configuration best practicesPresent solutions around digital marketing, marketing automation, and data management Technical Skills Required:Minimum 5 years of hands on Marketing Cloud development experienceStrong experience in Salesforce Data Cloud and SFMC integrationsKnowledge of Journey Builder, Automation Studio, Email Studio, Social StudioExperience with Data Cloud modules such as event tracking, API and SDK integration, Salesforce connectors, Apex, JavaScript, and JSONStrong understanding of CDP components including Contact Builder, Audience Builder, Content Builder, and AutomationsCRM integration knowledge with SFDC or other CRM toolsGood understanding of security, roles, access controls, and campaign data governanceExpertise in data architecture, identity resolution, duplicate management, consent management, segmentation, and subscriber managementKnowledge of AMPscript, reporting tools like Tableau or Datorama, and Production deployment processesGood to have experience with mobile push notifications, Interaction Studio, Advertising Studio, and DMPMandatory: Salesforce Data Cloud CertificationGood to Have: SFMC Certification If you are interested in exploring this opportunity, kindly share the following details: Total ExperienceRelevant Experience in SFMC and Data CloudCurrent LocationPreferred LocationCurrent CTCExpected CTCNotice PeriodSalesforce Data Cloud Certification statusUpdated ResumeLooking forward to your response. Thanks & Regards,TA Team Capgemini

Job Purpose/Summary:We are seeking a highly skilled professional with a strong Functional background in Manufacturing Execution Systems(MES) to join our team. The ideal candidate will have excellent comprehension skills, the ability to understandcomplex business scenarios, and a talent for delivering effective demos and training. You will be responsible for timelyproject tracking and monitoring, ensuring the highest standards in documentation, presentation, and testing. And youwill work collaboratively with a team, taking ownership of your tasks and ensuring the quality and thoroughness ofyour work. Key Responsibilities: Business Analysis and Requirement Gathering: Collaborate with stakeholders to gather and document detailed business and functional requirements. Analyze existing manufacturing processes and identify gaps to align them with MES capabilities. Facilitate workshops with stakeholders to define project objectives and deliverables.Deployment and Testing: Lead MES deployment activities, including installation, system configuration, and data migration. Develop and execute test cases to validate system functionality and data integrity. Troubleshoot deployment issues and provide timely resolutions. Training and Change Management: Conduct training sessions for end-users, key stakeholders, and plant teams. Create training materials, user guides, and FAQs to ensure smooth system adoption. Drive change management efforts to ensure minimal disruption during MES implementation.Post-Deployment Support and Optimization: Provide ongoing support for MES systems, resolving user queries and issues. Monitor system performance and recommend improvements to enhance efficiency.Optional:Data Analytics and Visualization: Familiarity with advanced data analytics tools such as Power BI, Tableau, or QlikView for creating detaileddashboards and insights. Knowledge of machine learning or AI applications in manufacturing for predictive maintenance and process Key Performance Indicators:Key Performance Indicators:Requirement Documentation AccuracyWorkshop Success RateGap Analysis EffectivenessStakeholder Satisfaction with Change ManagementDeployment and TestingTraining Completion RateTraining EffectivenessTraining Material UtilizationResponse Time to Support QueriesSystem Optimization Success RateUser Satisfaction with SupportCollaboration & CommunicationLearning & Innovation   Qualification:EducationMasters or Bachelors degree in Computer Science, Information Technology, Software Engineering, or a related field. Functional Skills/Competencies: Business Analysis: Requirement gathering and documentation.Process analysis and gap identification.Translating business needs into functional specifications. System Deployment and Integration:MES system deployment.System testing and validation. Training and Change Management:Designing and delivering training programs.Creating user manuals and training materials.Managing change and ensuring smooth system adoption. Post-Deployment Support:Providing ongoing system support and troubleshooting.Monitoring system performance and optimization.User issue resolution and support management. Project Management:Coordinating deployment activities and meeting deadlines.Stakeholder communication and requirement alignment.Prioritization and time management within project scope. Communication and Collaboration:Clear and effective communication with stakeholders and team members.Collaboration across technical and business teams.Interpersonal skills for user support and training. Ownership & AccountabilityTaking responsibility for assigned tasks and ensuring their timely completion.Following through with tasks from requirement analysis to deployment and maintenance.Ensuring quality and reliability with minimal supervision.Behavioral Skills/Competencies:Teamwork & Interpersonal Skills    

We are currently hiring for a Decision Analytics Product Analytics role for one of our key clients. Please find the details below: Role: Decision Analytics Product Analytics Experience: 8+ YearsLocation: Bangalore, Pune, Mumbai, Noida, Gurugram, and Chennai Must-Have Skills: 8+ years of experience applying analytics to solve complex product-related challenges.Strong SQL and Python skills for data manipulation, analysis, and insight generation.Hands-on experience with Web Analytics tools and tagging (Exposure to Adobe Analytics/Adobe Experience Platform preferred).Strong analytical capability to identify patterns, solve complex problems, and extract insights from structured & unstructured data.Expertise in A/B testing, including hypothesis setup, execution, and advanced analysis of user behaviour impact.Excellent communication and storytelling skills ability to translate complex datasets into clear, actionable insights that shape product strategy.Proven experience collaborating with product managers, UX researchers, engineers, and cross-functional teams. Good-to-Have: Degree in Computer Science, Statistics, Mathematics, or related fields.Experience in data governance, reporting requirements, ROI analysis.Experience in global or fast-paced environments.Expertise with Tableau for dashboards and automated reporting.Experience working with product data in the travel domain.Strong operational improvement mindset. If you are interested in this opportunity, please apply. Thanks & Regards,Capgemini HR Team

Exp: 2+Years loc:Turbhe np:Immediate to 30 Days  SQL experience  Python coding required Azure or other cloud environment Alteryx experience or other data management tool Tableau experience or other business intelligence tool  Databricks experience or other big data platform   ankitapisal@peshr.com/9004076848

Urgent Opening Data Science Trainer (Thane Location) Job Title: Data Science Trainer Location: Thane Employment Type: Full-Time (Immediate Joiner) Salary: Up to 30,000 per month About the Role: We are looking for a knowledgeable and passionate Data Science Trainer to join our institute and deliver high-quality training sessions. The ideal candidate should have strong technical expertise, good communication skills, and the ability to explain complex concepts in a simple and engaging manner. Key Responsibilities: Conduct classroom and online training sessions for students on Data Science, Python, Machine Learning, and related tools. Design, update, and deliver training content as per industry standards. Guide students through hands-on projects and practical exercises. Prepare assessments, assignments, and evaluate student performance. Stay updated with the latest trends and tools in Data Science and AI. Support students in developing their portfolios and interview preparation. Requirements: Bachelors / Masters Degree in Computer Science, Data Science, Statistics, or related field. Proven experience in Data Science / Machine Learning / Python programming. Strong knowledge of Pandas, NumPy, Scikit-learn, Matplotlib, SQL, etc. Excellent communication and presentation skills. Passion for teaching and mentoring students. Immediate joiner preferred.     

We are looking to hire a data analyst to join our data team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this role you need a very fine eye for detail, experience as a data analyst, and a deep understanding of the popular data analysis tools and databases. Data Analyst Responsibilities: Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analyses. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing. Data Analyst Requirements: Bachelors degree from an accredited university or college in computer science. Work experience as a data analyst or in a related field. Ability to work with stakeholders to assess potential risks. Ability to analyze existing tools and databases and provide software solution recommendations. Ability to translate business requirements into nontechnical, lay terms. High-level experience in methodologies and processes for managing large-scale databases. Demonstrated experience in handling large data sets and relational databases. Understanding of addressing and metadata standards. High-level written and verbal communication skills.

As a SQL Developer, your role will involve the following responsibilities: - Design, develop, and maintain SQL databases ensuring optimal performance and reliability. - Write and optimize complex SQL queries, stored procedures, triggers, and views. - Ensure data integrity, security, and effective backup/recovery processes. - Perform query tuning and database performance optimization. - Collaborate with software engineering teams to integrate databases with applications. - Develop and maintain ETL (Extract, Transform, Load) processes. - Monitor database performance and troubleshoot performance or data-related issues. - Automate routine database maintenance tasks using scripts or tools. To excel in this role, you should possess the following qualifications: - Strong proficiency in SQL and relational database management systems (RDBMS). - Hands-on experience with MySQL, PostgreSQL, or SQL Server. - In-depth understanding of query optimization, indexing, and performance tuning. - Knowledge of database security, authentication, and encryption practices. - Experience working with ETL tools (SSIS) and data warehousing concepts. - Strong analytical and problem-solving skills. If you are looking for an exciting opportunity as a SQL Developer with a focus on database development and maintenance, this role in Airoli, Navi Mumbai, is an excellent fit for you.,

As a Finance Business Intelligence Analyst at Morningstar, your role involves supporting the growing Business Intelligence (BI) & Financial Reporting functions within the Finance Organization. You will collaborate with global finance stakeholders to understand reporting requirements, assist with data validation, issue identification, and resolution related to recurring financial reporting processes. Additionally, you will help build foundational dashboards and reporting assets using established templates and tools. Under the guidance of senior analysts & Finance Business Intelligence Manager, you will contribute to broader automation and analytics initiatives within the finance organization. **Responsibilities:** - Executes tasks within the monthly close, quarterly update & maintenance processes for the Finance BI Function. - Maintains data cleanliness program, related reporting & related follow-ups with internal stakeholders. - Assists with training & onboarding new users for existing Tableau Dashboards and related processes. - Supports budgeting and forecasting activities. - Leads small business intelligence projects as requested by internal clients. - Evaluates current BI & Reporting processes and proposes methods for improvement. - Designs and maintains Tableau datasets, workspaces, and reporting structures used to compile insights. - Interprets and analyzes data from multiple sources, spots trends/anomalies/outliers, synthesizes raw data, and creates models to test hypotheses. - Provides design support for the development of business intelligence solutions, builds an in-depth understanding of the business, and serves as the primary owner of new report requests. - Interprets business requirements and determines optimum BI solutions to meet business needs. - Trains users and executives to use reports, metrics, and action-oriented information correctly. **Qualifications:** - Ability to work with a range of data and reporting technologies to build upon a strong foundation of rigor, quantitative techniques, and efficient processing. - Strong technical background is preferred. - Bachelor's degree from STEM fields such as Computer Science, Engineering, IT, Analytics, Finance, etc. Specialized training/certification and master's degree preferred. - Working knowledge or experience with Tableau Desktop or similar reporting tool. - Excellent analytical thinking and interpersonal skills, with the ability to communicate complex data issues correctly and clearly to both internal and external customers. - Attention to detail. Ability to define and organize tasks, responsibilities & priorities. - Process-focused and adhered to achieve SLA in the best manner in day-to-day activities. - Desire for improvement and innovation. - Excellent communication skills and English proficiency, both written and verbal. Morningstar is an equal opportunity employer. Please note that Morningstar's hybrid work environment allows for collaboration in-person each week, with a four days in-office model in most locations. Additionally, a range of benefits are available to enhance flexibility as needs change, ensuring that you have the tools and resources to engage meaningfully with your global colleagues.,

As an experienced SQL Developer with 3-5 years of expertise in database development, optimization, and management, your role will involve designing, developing, and maintaining SQL databases. You will be responsible for writing complex queries, ensuring data integrity, and providing database solutions to support application development teams. Key Responsibilities: - Design, develop, and maintain SQL databases, tables, views, stored procedures, and functions. - Write complex queries to meet business requirements and optimize existing queries for performance. - Ensure database performance, security, and availability. - Conduct data analysis, troubleshoot database-related issues, and offer timely solutions. - Collaborate with application developers to integrate databases with applications. - Perform data migration, backup, and recovery as necessary. - Create and maintain documentation related to database structures and processes. - Monitor database performance and recommend improvements for scalability and efficiency. - Ensure compliance with database standards, guidelines, and best practices. Required Skills and Qualifications: - Bachelor's degree in Computer Science, Information Technology, or a related field. - 3-5 years of hands-on experience as an SQL Developer. - Strong expertise in writing and optimizing SQL queries, stored procedures, triggers, and functions. - Experience with relational databases such as MS SQL Server, Oracle, MySQL, or PostgreSQL. - Proficiency in database performance tuning and query optimization. - Familiarity with database design, normalization, and indexing strategies. - Knowledge of data integration, ETL processes, and reporting tools is a plus. - Good understanding of database security, backup, and recovery practices. - Strong analytical and problem-solving skills. - Ability to work independently as well as in a collaborative team environment. Preferred Skills: - Experience with cloud databases (AWS RDS, Azure SQL, Google Cloud SQL). - Exposure to BI/reporting tools such as Power BI, Tableau, or SSRS. - Knowledge of version control systems (e.g., Git). You will be part of a Full-time, Permanent job type with benefits including internet reimbursement, leave encashment, and paid sick time. The work location is in person.,

As a Product Manager for the Benchmarking Platform, your role will involve the following: - Own, define, and manage the product roadmap, ensuring alignment with stakeholders, compliance, and security measures to meet business expectations. - Manage the product roadmap, backlog, and delivery milestones effectively. - Translate business requirements into user stories, functional specifications, and acceptance criteria. - Collaborate with engineering and data teams on ETL pipelines, APIs, and orchestration tools like Airflow and Step Functions. - Advocate for AI/ML integration, predictive benchmarking, and workflow automation features. - Supervise dashboards, automate reports in formats like PPT/PDF, and design self-service user experiences. - Ensure compliance, security, and maintain clear communication with stakeholders across teams. Desired Experience & Skills: - 6+ years of experience in SaaS/data product management, with at least 2 years in subscription research or analytics platforms. - Demonstrated ability in defining product requirements, creating BRDs/FRDs, and leading engineering/data delivery. - Hands-on experience with ETL/ELT workflows, tools like Airflow, dbt, and data orchestration best practices. - Familiarity with cloud ecosystems such as AWS, Azure, or GCP, and strong knowledge of Snowflake, BigQuery, or Redshift. - Proficiency in analytics/visualization tools like Tableau, Power BI, or embedded BI tools (Superset, Looker). - Knowledge of APIs & Microservices, including REST, GraphQL, authentication methods like OAuth, SAML, SSO. - Understanding of data governance principles, including tools like Great Expectations, semantic modeling, and security concepts at row/column levels. - Bonus: Exposure to PptxGenJS, WeasyPrint, and AI/ML-enabled product features like Chatbot Integration into SaaS products. Academic Background: - Bachelors degree in Computer Science or Engineering; an MBA or Business Analysis background is advantageous.,

Role Overview: As a Database Developer, your main role will be to design, develop, and maintain SQL databases for optimal performance. You will be responsible for writing and optimizing complex SQL queries, stored procedures, and triggers to ensure efficient data processing. It will be your duty to maintain data integrity, security, and backup processes to safeguard critical information. Key Responsibilities: - Collaborate with software engineers to integrate databases with applications effectively. - Develop and maintain ETL (Extract, Transform, Load) processes for efficient data management. - Monitor database performance regularly and troubleshoot any issues that may arise. - Automate database maintenance tasks using scripts to streamline operations. - Utilize your proficiency in SQL and relational database management systems (RDBMS) such as MySQL, PostgreSQL, or SQL Server. - Apply strong knowledge of query optimization and performance tuning to enhance database efficiency. - Ensure familiarity with database security, authentication, and encryption practices. - Implement stored procedures, triggers, and indexing strategies proficiently. - Utilize problem-solving and analytical skills to address database-related challenges effectively. - Experience with BI tools like Power BI, Tableau, or SSRS is preferred. - Knowledge of CI/CD pipelines and database automation is a plus. Qualifications Required: - Minimum of 3+ years of experience in SQL development. - Any Graduate degree will be preferred. - Candidates with relevant certifications will be given preference.,

You will be responsible for the following key tasks: - Collect, clean, and analyze data from various sources - Build and maintain dashboards and reports using tools like Excel, SQL, or Power BI/Tableau - Support in A/B testing, API automations, analysis, and performance tracking - Collaborate with service, product, marketing, and operations teams to gather data needs - Present findings in a clear and concise manner for both technical and non-technical stakeholders Qualifications required for this role include: - Currently pursuing or recently completed a degree in Data Science, Statistics, Computer Science or a related field - Strong analytical and problem-solving skills - Proficiency in Excel, Python/R or Basic SQL - Familiarity with data visualization tools (e.g. Tableau, Power BI, or Google Data Studio) - Excellent communication skills - Eagerness to learn and contribute in a fast-paced environment No additional details about the company were provided in the job description.,

As a meticulous and results-driven Sales & Revenue Analyst at our company, your role is crucial in supporting the sales function by preparing and analyzing key sales and revenue data, ensuring alignment with the Annual Operating Plan (AOP), and managing the reconciliation of purchase orders. Your strong analytical skills, attention to detail, and ability to collaborate cross-functionally with various teams, including Sales PMO and Account Management, will be essential for success in this role. **Key Responsibilities:** - Preparation of Sales MIS (Management Information System): - Validate order bookings in terms of commercials, subscription types, and IVG (internal classifications). - Compare order data against the Annual Operating Plan (AOP) to ensure sales are on track. - Collaborate with the Sales PMO team to ensure alignment with the sales strategy and targets. - Reconciliation of Purchase Orders: - Reconcile purchase orders by interacting with the Account Management team to ensure all purchase orders are accurate and aligned with contractual terms. - Address any discrepancies between sales orders and finance systems, ensuring smooth transaction flow. - Analysis of Order and Revenue Performance: - Analyze sales performance by leaders and segments, focusing on order volumes and revenue generation. - Track sales performance against the Annual Operating Plan (AOP) and identify any performance gaps or areas for improvement. - Sales Funnel Report Analysis: - Review and analyze the sales funnel to track opportunities across different stages and product suites. - Provide insights into the status of opportunities, helping prioritize efforts to convert leads into closed sales. - Validation of Customer/Partner Billing Methods: - Ensure accuracy in billing processes to avoid errors and disputes, contributing to smooth financial operations. **Key Requirements:** - Experience: - 3+ years of experience in sales/revenue MIS operations, sales analysis, or a similar role in a fast-paced environment. - Strong understanding of sales processes, reporting, and analytics. - Skills & Competencies: - Strong analytical skills with attention to detail and accuracy. - Proficiency in Excel, MS Office Suite, and other data analysis tools. - Familiarity with CRM systems (e.g., Salesforce, Microsoft Dynamics) is a plus. - Ability to interpret and analyze sales data to make informed decisions. - Strong communication and collaboration skills for cross-functional teamwork. - Educational Qualification: - Bachelor's degree in Business, Finance, Marketing, or a related field. - Advanced certifications (e.g., in sales operations or data analysis) are a plus.,

Job Description: As a participant in Fiserv's Technology Analyst Program, you will have the opportunity to embark on an early career development journey tailored for recent university graduates with drive and enthusiasm. Over a 2 - 2.5-year period, you will engage in two structured assignments within a specific track, gaining valuable experience in the Fintech industry. Your role will be pivotal in shaping the future of the organization as you contribute to a pipeline of top talent for critical functional areas. Key Responsibilities: - Preferred candidates are recent graduates of a bachelor's degree program in a STEM field - A minimum GPA of 3.0 is required for this role - Essential proficiency in Excel and PowerPoint - Necessary experience in working in a fast-paced environment and ability to adapt to changing priorities - Knowledge of .NET, JCL, Java, C, C++, C##, Java & COBOL would be advantageous - Beneficial experience in Python, R Languages, SQL, T-SQL, PowerBi, and Tableau - Advantageous familiarity with .Net technologies, languages, and Selenium tools - Desirable skill in utilizing Test Driven Development (TDD) Qualifications Required: - Recent graduates of a bachelor's degree program in a STEM field are sought after - Minimum GPA of 3.0 is a prerequisite - Proficiency in Excel and PowerPoint is mandatory - Previous experience in a fast-paced environment and adaptability to changing priorities is essential - Knowledge of .NET, JCL, Java, C, C++, C##, Java & COBOL is preferred - Experience in Python, R Languages, SQL, T-SQL, PowerBi, and Tableau is required - Familiarity with .Net technologies, languages, and Selenium tools is expected - Utilizing Test Driven Development (TDD) is a key qualification for this role,

As a Product Manager for the Benchmarking Platform, you will have the following responsibilities: - Own, define, and manage the product roadmap, execution, stakeholder alignment, compliance/security, and ensure that the product development, deployment, and iterations meet business expectations. - Manage the product roadmap, backlog, and delivery milestones effectively. - Translate business needs into user stories, functional specifications, and acceptance criteria. - Collaborate with engineering/data teams on ETL pipelines, APIs, and orchestration using tools like Airflow/Step Functions. - Champion AI/ML integration, predictive benchmarking, and workflow automation features within the platform. - Oversee the development of dashboards, automate reports in formats like PPT/PDF, and design a self-service experience for users. - Ensure compliance, security, and clear stakeholder communication across different teams. Desired Experience & Skills: - 6+ years of experience in SaaS/data product management with a focus on subscription research or analytics platforms for at least 2 years. - Proven track record of defining product requirements, creating BRDs/FRDs, and leading engineering/data delivery processes. - Hands-on experience with ETL/ELT workflows, tools like Airflow, dbt, and knowledge of data orchestration best practices. - Familiarity with cloud ecosystems such as AWS/Azure/GCP and strong knowledge of databases like Snowflake, BigQuery, or Redshift. - Experience in analytics/visualization tools like Tableau, Power BI, or embedded BI tools such as Superset and Looker. - Proficiency in working with APIs & Microservices like REST/GraphQL/Similar APIs, along with authentication methods like OAuth, SAML, SSO. - Knowledge of data governance principles including tools like Great Expectations, semantic modeling, and concepts of row/column-level security. - Bonus: Exposure to tools like PptxGenJS, WeasyPrint, and AI/ML-enabled product features such as Chatbot Integration into SaaS products. Academic Background: - Bachelors degree in Computer Science/Engineering is required. - An MBA or Business Analysis background is considered an advantage.,

Key Responsibilities Design, develop, and maintain robust applications and APIs using Python. Work with cross-functional teams (Data Science, Analytics, DevOps) to implement AI/ML models into production. Build data pipelines and perform data wrangling, transformation, and analysis. Contribute to analytics dashboards and reporting systems for business insights. Optimize code for performance, scalability, and reliability. Ensure best practices in version control, testing, CI/CD, and documentation. Stay updated with emerging technologies (AI, ML, analytics, DevOps). Must-Have Skills Strong programming skills in Python (mandatory). Hands-on experience with Python libraries/frameworks such as Pandas, NumPy, Flask/Django, FastAPI. Proficiency in data manipulation, scripting, and automation. Strong understanding of OOP, design patterns, and software engineering principles. Familiarity with databases (SQL/NoSQL) Good-to-Have Skills Knowledge of AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face). Experience in data visualization and analytics tools (Matplotlib, Seaborn, Power BI, Tableau). Exposure to cloud platforms and services Understanding of containerization & orchestration (Docker, Kubernetes). Knowledge of big data tools (Spark, Hadoop) and streaming platforms (Kafka). Experience integrating ML/AI models into production systems.

Company name: Tramway Inc(http://www.tranwayinc.com/), Working for Client-Infosys( work location) Role: Hybrid (3 days in a week working from office) Office timings: Normal timings (UK hours)  Role: Contractual, Duration-6 months   Job Description: Should have strong experience in SQL, Snowflake and Tableau. Excellent problem-solving and communication skills. Ability to work independently and in a team-oriented environment. Mandatory skills: Primary Skills - SQL, Snowflake and Tableau. Secondary Skills - SAS Know how If you are interested, Please share your updated resume to prerna@42signs.com/8197 840 980.