2420 Data Visualization Jobs - Page 49

We are recruiting an expert application support engineer to scale up the global support capability for our data nad analytics platform used by our research and trading teams. The candidate will work closely with our data engineers, data scientists, external data vendors, and various trading teams to rapidly resolve data and analytics application issues related to data quality, data integration, model pipelines, and analtics applications. Knowledge, Skills and Abilities - Python, SQL - Familiarity with data engineering - Experience with AWS data and analytics services or similar cloud vendor services - Strong problem solving and interpersonal skills - Ablity to organise and prioritise work effectively Key Responsibilities - Incident and user management for data and analytics platform - Development and maintenance of Data Quliaty framework (including anomaly detection) - Implemenation of Python & SQL hotfixes and working with data engineers on more complex issues - Diagnostic tools implementation and automation of operational processes Key Relationships - Work closely with data scientists, data engineers, and platform engineers in a highly commercial environment - Support research analysts and traders with issue resolution Competencies - Excellent problem solving skills - Ability to communicate effectively with a diverse set of customers across business lines and technology - Report to Head of DSE Engineering Mumbai, who reports to Global Head of Cloud and Data Engineering

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

Job Description: Our Enterprise Data team provides Talkdesk with accurate & accessible data, decision support models & analyses, enablement training & services, as well as facilitation for all analytics endeavors across the company. Data Analyst Role will work alongside the business team and be responsible for collecting, cleaning, analyzing, and interpreting data to identify trends and patterns. In this role, you will need to use your knowledge of data pipeline orchestration, standard methodologies for data warehouse performance, data migration strategies, and analytics architecture to function collaboratively within a team environment. We are looking for someone who will apply software engineering standard methodologies to analytics code via the utilization of version control, testing and validation processes, and continuous integration. Responsibilities: Data Analytics: Create Tableau dashboards to support analytical business needs. Facilitate Data Operations : Monitor data quality dashboards for data discrepancies and work with respective teams to resolve data issues. Data Modeling: Write sql, create views and data models in Snowflake to support data analytics. Ad Hoc Reporting : Respond to ad hoc reporting requests from cross-functional teams for custom insights and analysis in a timely manner. Data Management : Participate in the Data Governance committee (led by IT) to ensure the integrity and accuracy of data used in reporting as well as ensuring consistency across departments and systems. Qualifications: Education : Bachelor s degree in Computer Science or related field required. Experience : Minimum of 1 year of progressive experience in data analysis, reporting. Technical Expertise : Proficient in SQL, Snowflake, Tableau Strong knowledge of Excel and data visualization tools. Data analysis: Strong understanding of data analysis principles and techniques. Data visualization: Ability to create compelling and informative visualizations. SQL: Expert level knowledge with SQL for data extraction and manipulation. Problem-solving: Ability to troubleshoot technical issues and find solutions. Communication : Good verbal and written communication Work Environment and Physical Requirements: Primarily office-environment work, extended periods of sitting or standing, computer-based work. Limited lifting, and equipment usage limited to computer-related equipment (keyboards, mouse, etc.)

Collabera, a leader in staffing Industry, is looking for Senior Business Intelligence Analyst. Our employees work in fast paced, high energy work environment driven by our unique work culture that embraces competitiveness, passion and work hard-play hard approach to the fullest. Our clientele comprises of many Fortunes 100/500 organisations across various industry domains. Location: Remote Shift timings: 3 PM IST to 12 AM IST Role & responsibilities Power BI with SQL developer Must have 3-5 years of experience in data-specific roles and a grip over data analytics. Hands-on experience in reporting and visualization using Power BI, SQL Server MS Excel Macro programming skills will be an added advantage Must have outstanding interpersonal, presentation and communication skills. Roles and Responsibilities Power BI Report development will be the prime focus. Building Analysis Services reporting models. Developing visual reports, KPI scorecards, and dashboards using Power BI Connecting data sources, importing data, and transforming data for Business intelligence. Understand business requirements to set functional specifications for reporting applications Analytical thinking for translating data into informative reports and visuals. Capable of implementing row-level security on data along with an understanding of application security layer models in Power BI. . Ability to restrict data access to users based on the portfolio they manage Should have an edge over making DAX queries in Power BI desktop. Expert in using advanced-level calculations on the data set. Should be able to develop tabular and multidimensional models that are compatible with data warehouse standards. Very good communication skills must be able to discuss the requirements effectively with the client teams, and with internal teams. . Resolve queries from users if they are facing challenges in accessing reports

Senior Data Scientist India - Pune So, what s the role all about We are seeking a highly skilled and experienced Senior Data Scientist to join our dynamic team. The ideal candidate should have a minimum 4s of years of experience in data science, with hands-on experience in developing and implementing Generative AI solutions. The Senior Data Scientist will be responsible for developing Machine Learning models and collaborating with cross-functional teams to solve complex business problems How will you make an impact Develop and execute advanced analytics projects from end to end, including data collection, preprocessing, model development, evaluation, and deployment. Develop predictive models and machine learning algorithms to extract actionable insights from large and complex datasets. Utilize statistical techniques and quantitative analysis to identify trends, patterns, and correlations within the data. Collaborate with stakeholders to understand business requirements and translate them into analytical solutions that drive value and impact. Stay abreast of the latest advancements in Data Science, Machine Learning, Generative AI and recommend innovative approaches to solve business challenges Have you got what it takes Bachelors degree in Computer Science, Statistics, Mathematics, or a related field; advanced degree (Masters or Ph. D. ) preferred. Minimum of 4 years of hands-on experience in data science and machine learning , with at least 6 months of experience in Generative AI development. Proficiency in programming languages such as Python or R, as well as experience with data manipulation and analysis libraries (e. g. , pandas, NumPy, scikit-learn, Hugging Face - Transformers, LangChain etc. ). Strong understanding of machine learning techniques and algorithms, including supervised and unsupervised learning, regression, classification, clustering, and deep learning. Strong understanding of LLMs, NLP techniques, and evaluation methods for generative outputs. Solid foundation in prompt engineering for optimizing AI-generated outputs across different tasks and domains. Excellent problem-solving skills and ability to work independently as well as collaboratively in a fast-paced environment. Strong communication and interpersonal skills, with the ability to effectively communicate complex technical concepts to diverse audiences. Proven leadership abilities, with experience in mentoring junior team members and leading cross-functional projects. Publications or contributions to the data science community, such as conference presentations, research papers, or open-source projects. Preferred Qualifications: Experience working in industries such as finance, banking. Familiarity with cloud computing platforms (e. g. , AWS, Azure, Google Cloud) and related services for building and deploying machine learning models. Knowledge of data visualization tools (e. g. , Tableau, Power BI) for creating interactive dashboards and reports. Publications or contributions to the data science community, such as conference presentations, research papers, or open-source projects. Hands-on experience with vector databases (e. g. Pinecone) and embedding techniques. What s in it for you Enjoy NICE-FLEX! Requisition ID: 7409 Reporting into: Tech Manager Role Type: Individual Contributor About NICE

SAC Analytics and Planning in Bangalore, India, India SAC Analytics and Planning Location: Bangalore, India, India Date Created: Jun 3, 2025 Requisition ID: 5284 Description SAP Analytics Cloud (SAC) Data Planning & Analytics Resource Requirement We are looking for an experienced SAP Analytics Cloud (SAC) Data Planning & Analytics professional along with Group Reporting experience to support our business intelligence and planning initiatives. The ideal candidate will have strong expertise in SAC, data modeling, and analytics to drive data-driven decision-making within the organization. Key Responsibilities: Design and develop SAC Planning Models, integrating data from SAP and non-SAP sources. Configure data actions, allocations, and version management to support business planning processes. Build interactive dashboards and stories for data visualization and analysis. Work closely with business stakeholders to understand requirements and translate them into SAC planning solutions. Optimize data models and workflows to improve performance and usability. Integrate SAC with SAP BW, S/4HANA, and other data sources for real-time analytics. Provide user training and support to ensure effective utilization of SAC solutions. Required Skills & Experience: 10+ years of experience in SAP Analytics Cloud (Planning & Analytics). Hands-on experience in data modeling, scripting, and planning functions in SAC. Strong understanding of SAP BW, S/4HANA, or other backend systems for data integration. Experience in Advanced Formulas, Data Actions, and Predictive Analytics in SAC. Knowledge of SAP BPC (Business Planning & Consolidation) is a plus. Excellent problem-solving, communication, and stakeholder management skills.

Some careers have more impact than others. If you re looking for a career where you can make a real impression, join HSBC and discover how valued you ll be. HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Data Analyst Business: Intl Wealth Premier Banking Principal responsibilities Collect, process, and clean data from multiple sources. Analyze large datasets to identify trends, patterns, and opportunities. Build and maintain dashboards and reports for key business stakeholders. Work with teams across the organization to define metrics and KPIs. Translate complex data findings into clear and actionable insights. Identify gaps in data collection and suggest process improvements. Assist in designing experiments and evaluating results. Ensure data accuracy and consistency through regular audits. Requirements Bachelor s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field. 2+ years of experience in data analysis or a similar role. Proficiency in SQL and data visualization tools (e. g. , Power BI, Tableau, Looker). Strong knowledge of Excel and experience with statistical tools like Python, R, or similar. Excellent analytical and problem-solving skills. Strong communication skills with the ability to present complex information clearly Experience with cloud data platforms (e. g. , AWS, GCP, Azure). Familiarity with data warehousing concepts and tools. Experience working in Agile environments. You ll achieve more at HSBC HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc. , We consider all applications based on merit and suitability to the role. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

Join us for an exciting opportunity to elevate your career in marketing analytics. As a Performance Marketing Quant Analytics Associate Senior at JPMorgan Chase within the Data and Analytics Team, you will drive strategic insights and performance improvements across marketing campaigns. Collaborate with business lines to deliver impactful analytics solutions. Job Responsibilities Plan, execute, and deliver performance marketing analytics projects. Identify attributes that describe shifts in performance. Create data assets from large disparate sources for unified marketing performance views. Conduct strategic analyses for campaigns, marketing, and personalization. Design dashboards to inform executives on critical operational business KPIs and strategic metrics. Become a trusted partner and thought leader in marketing data analytics. Invent creative methods to answer key business questions using data assets. Build expertise on marketing data from all Chase lines of business. Synthesize analytical findings for senior business executives in both written and verbal formats. Required Qualifications, Capabilities, and Skills Minimum 8 years of experience with strong academic background with a STEM Bachelors/Masters from a well-recognized university. 6+ years of advanced hands-on experience in SQL. 5+ years of advanced experience in data visualization, in Tableau. 5+ years of advanced experience in data wrangling, in Alteryx/Python. 5+ years of advanced experience in web interaction data analytics, with Adobe Analytics. 5+ years of advanced knowledge in MS Excel. Demonstrated experience in design of experiments, statistics, and using ML for exploratory driver analysis. Proven analytics skills with strong hands-on experience in analyzing data, extracting insights, and recommending business solutions. Great presentation skills, both verbal and in MS PowerPoint. Preferred Qualifications, Capabilities, and Skills Experience with analytics suite and back-end data of Adobe Analytics, Salesforce Marketing Cloud, Persado, Harmony, or similar tools. Familiarity with cloud-based environments and developing production-level code.

Join us for an exciting opportunity to elevate your career in marketing analytics. As a Performance Marketing Quant Analytics Associate at JPMorgan Chase within the Data and Analytics Team, you will drive strategic insights and performance improvements across marketing campaigns. Collaborate with business lines to deliver impactful analytics solutions. Job Responsibilities Plan, execute, and deliver performance marketing analytics projects. Identify attributes that describe shifts in performance. Create data assets from large disparate sources for unified marketing performance views. Conduct strategic analyses for campaigns, marketing, and personalization. Design dashboards to inform executives on critical operational business KPIs and strategic metrics. Become a trusted partner and thought leader in marketing data analytics. Invent creative methods to answer key business questions using data assets. Build expertise on marketing data from all Chase lines of business. Synthesize analytical findings for senior business executives in both written and verbal formats. Required Qualifications, Capabilities, and Skills Minimum 6 years of experience with strong academic background with a STEM Bachelors/Masters from a well-recognized university. 5+ years of advanced hands-on experience in SQL. 4+ years of advanced experience in data visualization, in Tableau. 4+ years of advanced experience in data wrangling, in Alteryx/Python. 2+ years of advanced experience in web interaction data analytics, with Adobe Analytics. 4+ years of advanced knowledge in MS Excel. Demonstrated experience in design of experiments, statistics, and using ML for exploratory driver analysis. Proven analytics skills with strong hands-on experience in analyzing data, extracting insights, and recommending business solutions. Great presentation skills, both verbal and in MS PowerPoint. Preferred Qualifications, Capabilities, and Skills Experience with analytics suite and back-end data of Adobe Analytics, Salesforce Marketing Cloud, Persado, Harmony, or similar tools. Familiarity with cloud-based environments and developing production-level code.

Manager - Supply Chain and Manufacturing Practice Experience: Master's degree with 5+ years of relevant experience in Supply Chain Consulting/Supply Chain Analytics, with 8+ years of experience overall OR Graduate degree with 7+ years of relevant experience in Supply Chain Consulting/Supply Chain Analytics, with 10+ years of experience overall. Job Location: Primary Location: Bangalore, Chennai, Pune, Gurugram & Kolkata. The Practice team is currently based in Bangalore, but we are open to candidates wanting to work out of our Chennai, Pune, Kolkata.and NCR offices. In this role, you will be engaging with Supply Chain Leaders across the globe to define the need for Supply Chain solutions which involves process consulting, analytics and algorithms, technology, application development and last mile adoption through change management. You will be working with an extremely resourceful and talented team of Analysts & Senior Analysts at Tredence with primary focus on growing the relationship with the client on one hand, while leading the delivery team to ensure high quality deliverables on a day-to-day basis on the other. You should have a complete command over the project status and ability to judge the need of you rolling-up your sleeves and leading the team by example. As an Manager, you would be leading 3-5 client engagements at any point of time. These engagements would be of various nature - From a 4-6 week high intensity pilot to a 3-6 month full-scale solution implementation. You will be leading a team of highly motivated, energetic, and occasionally volatile(!) analysts and engineers. In this role you will have multiple career options to set as a goal for yourself which could range from being a Supply Chain Delivery Manager or a Supply Chain Process Consultant or a Supply Chain Solution Architect. This will be dependent on your inclination as well as your expertise in the mix of supply chain domain knowledge and analytical, statistical, and technical skills. Expectations from You: Overall, your role would require a mix of expertise in various proportions depending on the nature of the problem in hand to make ourselves an indispensable thought and solution partner for our clients. Thus, a Manager should have - - A good process consulting mindset to understand roots of the problem and complexity of the solution to be built - An analytical mindset to be able to leverage data to build relevant solutions - A technical mindset to be able to give a sustainable and scalable and client-self-serve design to the solution - A program management mindset to enable the last mile delivery of the solution to ensure adoption of the solution in the smoothest possible manner - A product management mindset in order to design and develop repeatable solution assets. - And, a growth mindset to train and grow your teams and develop them into strong professionals. In terms of Supply Chain Domain Knowledge - You must possess an in-depth understanding of 1 or more functions within Supply chain (e.g. procurement, transportation etc.) and must be capable of holding independent conversations with the clients, driving the conversations through clear communication of your factual opinions on the above-mentioned area(s) of your expertise. - You must possess a wide exposure to functions across the SC value chain : Procurement / Inbound Logistics / Production / Inventory and Demand Planning / Outbound Logistics / Retailing - You may have to develop a good understanding or working knowledge of various modules of supply chain solutions and software to be able to have a meaningful conversation with the clients, in their own language In terms of Supply Chain Analytical skills - You should be comfortable designing and building repeatable tools / data-models to solve specific business problems - You should be comfortable leading your team of analysts and engineers, who would be working on: - Excel / SQL /Alteryx or similar platform for data processing - R/Python for logic building - Tableau / PowerBI or similar platforms for Data Visualization - You should be comfortable with concepts of applied mathematics and statistics which might be required to build a foolproof solution. What's in it for you Tremendously impactful role that provides an opportunity to grow and be part of Supply Chain Practice Leadership team while interfacing with global supply chain leaders from various large organizations Independence and ownership in design, execution, and P&L of your projects and account An opportunity to carve out a unique role that harnesses and grows your abilities as a thought leader and as an operational leader Work in an organization where the bar for talent, hunger for good work and aspiration for growth is very high - a place which will challenge as well as energize you Work with peers who are the best in Industry - People like you! Opportunity to exceed targets and be rewarded handsomely for it Required Skills

We are seeking a skilled Back End Developer with a focus on NodeJS to join our dynamic team. As a Back End Developer, you will be responsible for developing server-side logic, database integration, and ensuring high performance and responsiveness to requests from the front-end. We Eximietas Design About Eximietas History Careers Job Openings Connect Contact Us Engineer Silicon Silicon Design MicroArchitecture and RTL design Design Verification Physical Implementation Analog/Mixed Signal DFT Verification & Validation Presilicon Validation Post Silicon Validation Devices Embedded Software Firmware BSP & Drivers Multimedia Connectivity Edge AI Hardware Design Services High Speed Digital Design Hardware & Board Design Services Cloud & Digital Infrastructure & DevOps Secure Foundation Infrastructure as Code CI/CD Monitoring & Observability Modernization & Migration Workload Migration Application Development API & Application Integration Application Migration Modernize Applications Database Modernization Enterprise Database Migration Cyber Security Security Strategy & Compliance Identity & Access Management Infrastructure & Application Security Data Security & Privacy Threat Intelligence AI & Data Analytics AI & Machine Learning MLOps Conversational AI Generative AI Data Analytics Data Warehouse & Lake Modernization Business Intelligence & Data Visualization Excellence Why Eximietas Case Studies Blogs The Think Tank News and Events Click We Eximietas Design About Eximietas History Careers Job Openings Connect Contact Us Engineer Silicon Silicon Design MicroArchitecture and RTL design Design Verification Physical Implementation Analog/Mixed Signal DFT Verification & Validation Presilicon Validation Post Silicon Validation Devices Embedded Software Firmware BSP & Drivers Multimedia Connectivity Edge AI Hardware Design Services High Speed Digital Design Hardware & Board Design Services Cloud & Digital Infrastructure & DevOps Secure Foundation Infrastructure as Code CI/CD Monitoring & Observability Modernization & Migration Workload Migration Application Development API & Application Integration Application Migration Modernize Applications Database Modernization Enterprise Database Migration Cyber Security Security Strategy & Compliance Identity & Access Management Infrastructure & Application Security Data Security & Privacy Threat Intelligence AI & Data Analytics AI & Machine Learning MLOps Conversational AI Generative AI Data Analytics Data Warehouse & Lake Modernization Business Intelligence & Data Visualization Excellence Why Eximietas Case Studies Blogs The Think Tank News and Events Click Cloud / 3+ Years Back End Developer Bengaluru/Bhubaneswar Job Description We are seeking a skilled Back End Developer with a focus on NodeJS to join ourdynamic team. As a Back End Developer, you will be responsible for developing server-side logic, database integration, and ensuring high performance and responsiveness to requests from the front-end. You will collaborate with cross-functional teams to define, design, and ship new features and enhancements to our existing applications. The ideal candidate will have a strong understanding of Backend technologies, excellent problem-solving skills, and a passion for creating scalable and efficient systems. Responsibilities Design, develop, and maintain scalable, high-availability backend services using js. Develop RESTful APIs using js and Express to ensure seamless communication between the frontend and backend components. Integrate and manage databases, both relational (e.g., PostgreSQL) and/or NoSQL (e.g., MongoDB), to store, retrieve, and manipulate data Write clean, maintainable, and efficient code; perform code reviews to ensure code Implement thorough testing practices, including unit and integration testing, to maintain code quality and Requirements Bachelor s degree in computer science, Software Engineering, or a related 3+ years of professional experience as a Backend Developer, specializing in Strong command over js and Express for backend development. Solid experience with both SQL (e.g., PostgreSQL) and/or NoSQL (e.g., MongoDB) Familiarity with version control systems (e.g., Git) and agile development Excellent problem-solving skills and the ability to debug and troubleshoot complex technical Strong communication skills, both written and verbal, to collaborate effectively with technical and non-technical Strong experience with microservices architecture and system design. Preferred Qualifications Experience with cloud platforms such as AWS, Azure, or Google Cloud Knowledge of containerization technologies like Docker and orchestration tools such as Familiarity with continuous integration and continuous deployment (CI/CD) Understanding of Agile methodologies and DevOps

We are looking for an experienced and passionate Data Science Trainer who can deliver high-quality training to students, working professionals, and corporate clients. The ideal candidate should be proficient in the latest tools and technologies in the data science field and have a passion for teaching and mentoring. Key Responsibilities: Deliver Engaging Training Sessions: Conduct in-depth, interactive training sessions (online/offline) on core Data Science topics, including Python programming, statistics, machine learning, and data visualization. Curriculum Development: Design, structure, and regularly update course content, projects, and assessments based on current industry standards and student needs. Hands-On Project Guidance: Mentor students on capstone and real-time projects using real-world datasets to strengthen their practical skills and portfolio. Technical Evaluation: Develop and assess assignments, quizzes, and case studies to measure students progress and provide constructive feedback. Interview Preparation: Conduct mock interviews, technical tests, and soft skills sessions to prepare students for job placements in data-related roles. Technology Upgradation: Stay updated with evolving tools and technologies like TensorFlow, Power BI, Tableau, Spark, and integrate them into training modules as needed. Mentorship & Support: Provide personalized mentorship and career guidance to help learners overcome challenges and reach their goals. Corporate & Workshop Training (Optional): Conduct specialized workshops, webinars, and corporate training sessions based on demand. Key Skills Required: Strong knowledge of Python , NumPy , Pandas , Matplotlib , Seaborn Proficiency in Machine Learning (Supervised & Unsupervised algorithms) Hands-on experience with Scikit-learn , TensorFlow , or Keras Familiarity with SQL , Statistics , Data Wrangling , and Data Visualization Exposure to Deep Learning , NLP , and Big Data Tools is a plus Experience with platforms like Jupyter Notebook , Google Colab Strong communication and presentation skills Why Join Uncodemy? Work with a passionate and skilled team of trainers. Opportunity to shape the careers of aspiring professionals. Flexible working hours and a positive work environment.

What you’ll do: Utilize advanced mathematical, statistical, and analytical expertise to research, collect, analyze, and interpret large datasets from internal and external sources to provide insight and develop data driven solutions across the company Build and test predictive models including but not limited to credit risk, fraud, response, and offer acceptance propensity Responsible for the development, testing, validation, tracking, and performance enhancement of statistical models and other BI reporting tools leading to new innovative origination strategies within marketing, sales, finance, and underwriting Leverage advanced analytics to develop innovative portfolio surveillance solutions to track and forecast loan losses, that influence key business decisions related to pricing optimization, credit policy and overall profitability strategy Use decision science methodologies and advanced data visualization techniques to implement creative automation solutions within the organization Initiate and lead analysis to bring actionable insights to all areas of the business including marketing, sales, collections, and credit decisioning Develop and refine unit economics models to enable marketing and credit decisions What you’ll need: 5 to 8 years of experience in data science or a related role with a focus on Python programming and ML models. Proficient in Python programming and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, Keras, PyTorch. Strong experience with ETL and Data Warehouse. Good experience with IOT is required. Strong understanding of machine learning algorithms, deep learning techniques, and natural language processing methodologies. Strong Python/Pyspark knowledge enabling data preprocessing and historical feedback loop for context loading for LLM. Familiarity with SQL databases (MySQL/ SQL Server) and vector databases like (Qdrant, Faiss). Proven track record of delivering successful AI projects that demonstrate measurable impact on business outcomes. Strong analytical skills with the ability to interpret complex data sets. Master’s or PhD in Computer Science, Data Science or related field preferred. Life at Next: At our core, we're driven by the mission of tailoring growth for our customers by enabling them to transform their aspirations into tangible outcomes. We're dedicated to empowering them to shape their futures and achieve ambitious goals. To fulfil this commitment, we foster a culture defined by agility, innovation, and an unwavering commitment to progress. Our organizational framework is both streamlined and vibrant, characterized by a hands-on leadership style that prioritizes results and fosters growth. Perks of working with us: Clear objectives to ensure alignment with our mission, fostering your meaningful contribution. Abundant opportunities for engagement with customers, product managers, and leadership. You'll be guided by progressive paths while receiving insightful guidance from managers through ongoing feedforward sessions. Cultivate and leverage robust connections within diverse communities of interest. Choose your mentor to navigate your current endeavors and steer your future trajectory. Embrace continuous learning and upskilling opportunities through Nexversity. Enjoy the flexibility to explore various functions, develop new skills, and adapt to emerging technologies. Embrace a hybrid work model promoting work-life balance. Access comprehensive family health insurance coverage, prioritizing the well-being of your loved ones. Embark on accelerated career paths to actualize your professional aspirations. Who we are? We enable high growth enterprises build hyper personalized solutions to transform their vision into reality. With a keen eye for detail, we apply creativity, embrace new technology and harness the power of data and AI to co-create solutions tailored made to meet unique needs for our customers. Join our passionate team and tailor your growth with us!

As a Senior Data Scientist, you will apply your expertise in statistics, machine learning, and data analysis to extract valuable insights from structured and unstructured data. You will work closely with cross-functional teams to develop predictive models, improve business processes, and contribute to data-driven decision-making across the organization. Required Skills (Must have) Tech: Advanced programming knowledge in Python and SQL. Advanced knowledge in Probability and Statistics, including hypothesis testing. Advanced knowledge in Practical Machine Learning and awareness of the key-pitfalls in the practice of machine learning and approaches to addressing them. Advanced knowledge of data visualization technologies like Tableau, and PowerBI, and comfortable using relevant libraries in Python like seaborn and matplotlib. Experienced in modern development tools and writing code collaboratively. Intermediate knowledge of Cloud technologies and experience in developing data science solutions in one or more cloud platforms. Experienced in modern development tools, writing code collaboratively and developing solutions on cloud platforms. Non Tech : Ability to recognize and pursue pragmatic alternatives vis--vis a perfect solution, balancing priorities of time with potential business impact. Plan projects, break them down across individual data scientists in the team, track their performance and manage risks. Ability to storyboard an entire presentation to a non-technical audience. Ability to work independently to develop data science solutions, while also being able to work as part of a team to communicate findings and collaborate on solutions. Strong written skills. This is required for submitting technical papers, whitepapers, and developing project documentations. Technical leadership and mentorship to the community of data scientists in the organization. Required Skills (Good to have) Tech: Advanced knowledge in one or more areas besides Machine Learning – Operations Research, Natural Language Processing, Deep learning and its applications, Time Series forecasting at scale. Reinforcement Learning, Graph Machine Learning, Explainable Machine learning. Advanced understanding of Cloud technologies and experience of deploying applications on cloud. Non Tech: Ability to solution critical business problems into its component parts and match each such part with an appropriate technical approach. Roles and Responsibilities As Senior Data Scientist, you will be responsible for a wide range of engagements listed below: Formulates complex problems into hypotheses and proofs of concept for testing. Socializes this with the rest of the team and guides them to deliver on it. Applies business acumen in analyses to extract meaningful and actionable information. Communicates complex ideas and insights effectively to stakeholders with various levels of technical experience. Leverages various analytical techniques, appropriate to solving the business problem at hand. Performs research for solutions and solves problems efficiently to overcome data analytics challenges. Engages in the collection, integration, analysis, and presentation of data for various business contexts Understands good software development practices (versioning, peer reviews, refactoring, and pair programming), adapts them to the needs of the team and sets an example for others by following them. Creates and maintains technical documentation of the scientific experimentations performed, preferably in the CRISP-DM framework or like. Keeps up with the latest trends, technologies, and best practices in the field of Data Science and Engineering. Shares this knowledge with the rest of the data science team. Does peer reviews of codes and approaches of fellow members of the data science team. Provides mentorship to junior data scientists in the team. Looks for improvements in data science delivery processes, actively seeks buy-in on the improvements from peers and managers, implements them in the team and monitors their adoption. 4 to 6 years experience is mandatory

- Proficient in development using Oracle Analytics Cloud (OAC) - Expertise in RPD, OAC reports, Data Visualizations - Strong knowledge of SQL and PL/SQL to optimize query performance - Experience with Oracle relational databases - Exposure to Oracle Cloud migrations and OBIEE upgrade projects - Skilled in developing applications on Oracle Cloud infrastructure - Experience with Oracle Data Integrator (ODI) for data integration workflows - Working knowledge of Agile development methodologies - Exposure to Oracle Cloud scripts using CURL - Excellent understanding of Oracle Cloud platform and services - Familiarity working with DevOps tools, deployment and orchestration technologies - Experience developing applications on OAC Cloud infrastructure. - Familiarity with Business Continuity and Disaster Recovery design and implementation for cloud infrastructures

Data Analytics Engineer / Data Scientist Location- Mysuru (Preferred) or Remote (India) Full-Time | 3+ Years Experience ABOUT HOPTEKAI: At Hoptek, a Kearney Company, were building AI-powered SaaS products that help trucking companies operate smarter from pricing freight and planning networks to allocating assets and reducing waste. We’re looking for a Data Analytics Engineer / Data Scientist who’s excited to solve hard operations problems, build AI models that get embedded into our products, and help our customers get smarter through data. If you love building applied ML solutions and developing new ideas at the intersection of logistics and optimization, this role is for you. POSITION OVERVIEW: Build machine learning and optimization models to support pricing, routing, and network planning Partner with product and engineering teams to embed AI algorithms into customer-facing software Analyze freight networks and develop insights that drive operational efficiency Use PostgreSQL and Apache Superset to develop internal and customer-facing analytics as needed Prototype innovative solutions to unstructured problems using Python, OR techniques, and statistical methods Understand how customers interact with the platform and develop analytics to support adoption and value delivery What We’re Looking For: 3+ years of experience in data science, analytics engineering, or operations research Proficiency in Python, SQL, and relevant data/ML libraries (e.g., pandas, scikit-learn, XGBoost) Strong grasp of optimization techniques, network models, or decision science Familiarity with data visualization tools — especially Apache Superset Ability to work with real-world, messy logistics data and extract actionable intelligence Curiosity and creativity in approaching open-ended product and analytics challenges Bonus Points For: Experience in transportation, logistics, or freight planning Hands-on experience with graph analytics or geospatial data Experience productionizing ML/OR models within SaaS applications Exposure to pricing algorithms, dynamic optimization, or network simulations Why HOPTEKAI: Applied AI, Real Impact: Your work powers critical product decisions — from what to bid, to where to send the next truck Innovation-Driven: You’ll get to explore new techniques and shape the future of optimization in freight Close Loop from Data to Product: Help us transform ideas into algorithms, and algorithms into product features Mysuru Preferred: Collaborate on-site with our core team — or work remotely within India We’re Hiring Fast: Join a high-impact team at a critical growth moment

Role & responsibilities Power BI with SQL developer Must have 3-5 years of experience in data-specific roles and a grip over data analytics. Hands-on experience in reporting and visualization using Power BI, SQL Server MS Excel Macro programming skills will be an added advantage Must have outstanding interpersonal, presentation and communication skills. Roles and Responsibilities Power BI Report development will be the prime focus. Building Analysis Services reporting models. Developing visual reports, KPI scorecards, and dashboards using Power BI Connecting data sources, importing data, and transforming data for Business intelligence. Understand business requirements to set functional specifications for reporting applications Analytical thinking for translating data into informative reports and visuals. Capable of implementing row-level security on data along with an understanding of application security layer models in Power BI. . Ability to restrict data access to users based on the portfolio they manage Should have an edge over making DAX queries in Power BI desktop. Expert in using advanced-level calculations on the data set. Should be able to develop tabular and multidimensional models that are compatible with data warehouse standards. Very good communication skills must be able to discuss the requirements effectively with the client teams, and with internal teams. . Resolve queries from users if they are facing challenges in accessing reports Location: Remote Shift timings: 3 PM IST to 12 AM IST

Candidate should have 4+ yrs of experience in Power Bi and SQL, preferably in a BPO/MNC. Work Location - Bangalore Shift - 4 pm - 1am / 6pm - 3am + Weekend Off Immediate Joiners OR Max 15 days notice period candidates can apply Required Candidate profile Call HR Manager Reejo @ 9886360719 for more details.

About the Role: Zeta is seeking an experienced and detail-oriented Tableau Server SME with 2-4 years as a super-user or Administrator. In this role, the successful candidate will oversee the management of various Tableau Server tasks, support data visualization initiatives, and enhance reporting capabilities across the organization. Additionally, this role will focus on: Custom Reporting: Developing tailored reporting solutions in conjunction with our Email and Programmatic Marketing teams. Data Visualization Maturation: Elevating our internal reporting standards and data presentation. User and Permissions Audits: Performing regular audits across multiple platforms. Change Control Management: Supporting change control processes, especially for reporting platforms. Knowledge Management: Leading documentation and knowledge-sharing efforts for assigned responsibilities. Key Responsibilities : Manage Tableau Server site configuration and functionality for optimized performance. Execute thorough user and permissions audits and ensure compliance with internal access policies. Collaborate with technical and business teams to troubleshoot and resolve data connection, dashboard, and reporting issues. Lead quality assurance and testing efforts for Tableau UI, especially during system upgrades. Manage Tableau licenses, ensuring proper allocation and renewal in line with organizational needs. Contribute to reporting platform support Provide Tableau desktop application support Required Qualifications : Experience: 2-4 years of experience in Tableau Server administration, including: Site management UI troubleshooting, QA, and participation in upgrades Dashboard and reporting troubleshooting License management and user administration Data source connection troubleshooting Tableau Desktop support Technical Skills: Tableau Server Administration: Strong experience with site, user, and license management. Troubleshooting Proficiency: Skilled in resolving access, permissions, and reporting issues, particularly during upgrades. Intermediate SQL: Competency to support data queries and integrations. Linux Fundamentals: Basic understanding, particularly for troubleshooting. Web Development Acumen: Familiarity with HTML and CSS to support front-end reporting requirements. Business Skills: Fluent English: Excellent verbal and written communication. Organizational Ability: Strong prioritization and task management. Collaborative Experience: Proven experience working with both technical and non-technical teams. Knowledge of Platforms: Experience with Jira or other ticketing systems, Confluence or similar wikis. Preferred Qualifications: Related Platforms: Knowledge of ELK stack (Kibana, Grafana, Superset). Industry Knowledge: Experience with email marketing and/or programmatic advertising. Structured Knowledge Management Experience: Experience in formalized knowledge management processes or documentation standards.

The Business Analyst will work closely with Salesforce and Sales Operations team. You will be responsible for providing operational and strategic level analytical support to various Business Units at Zeta Global. The successful applicant will be able to demonstrate excellent judgement, work well under pressure, prioritize effectively, and work collaboratively with stakeholders across the company. Primary Job Duties & Responsibilities Update Financials Models that bring together: Closed Won sales to Income Statement Revenue and other sales driven metrics to understand the trends in the sales organization Ability to interpret data and turn it into insights for the business (trending, forward looking, metrics) Preparing reports and presenting to Sales Management, Business Unit Leaders and Finance Leadership Determine and recommend data to include in analytical projects and provide insights to business partners Create and present data visualization techniques to help support data exploration Lead the operationalizing and automation of complex data (more systems, data sets and streams, size of data sets more substantial) products into business Present and translate information in relevant business terms Understands and supports data models across multiple lines of business Understands how sales information is interrelated based on how the business and sales runs Reconciling data and loading information into Salesforce and other data models Ability to partner and work with various business partners Education, Work Experience, & Knowledge Undergraduate in Finance, Business, Accounting or Analytics preferred, or equivalent degree or certification 2-4 years of experience with data analysis, modeling and analytics Understands how to reconcile data and analyze it for trends Experience with using Salesforce preferred Advanced skills in using various technologies to assist in data analysis, including: Tableau (beginner), Excel (pivot tables, V-Lookup) Ensures the business meaning behind the data is clear to end users, and addresses any needed clarifications in a timely manner Understands functional use cases and readily extrapolates them into data requirements Understands how business data can change overtime to ensure this is considered in functional use cases, development, and testing Ensures historical data considerations are discussed when the team delivers new capabilities

We are currently looking to hire a highly motivated Data Scientist who has the hunger to solve our complex technical and business challenges. If you want to be part of our journey and make an impact. Apply now! YOUR ROLE AT SIXT You will build and maintain robust ETL pipelines for collecting and processing data related to pricing, competitors, and ancillary products You perform deep exploratory data analysis to uncover trends and insights You generate clean, aggregated datasets to support reporting and dashboards You will collaborate with cross-functional teams to define data requirements and deliver actionable insights You will apply basic statistical models to forecast or explain pricing and customer behaviour You create clear, concise visualizations to communicate findings to stakeholders YOUR SKILLS MATTER B.Tech/B.E/ Master s Degree in Computer Science or similar discipline You have 1-3 years of relevant experience in data engineering or data science Programming : Proficiency in Python and Pandas for data manipulation and analysis ETL Development : Experience designing and implementing ETL pipelines, including data cleaning, aggregation, and transformation Workflow Orchestration : Hands-on with Airflow for scheduling and monitoring ETL jobs Cloud Serverless Computing : Exposure to AWS services such as Batch, Fargate, and Lambda for scalable data processing Containerization : Familiarity with Docker for building and deploying reproducible environments EDA Visualization : Strong exploratory data analysis skills and ability to communicate insights using data visualization libraries (e.g., Matplotlib, Seaborn, Plotly) Basic Predictive Modelling : Understanding of foundational machine learning techniques for inference and reporting Good communication skills 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

HSBC is one of the largest banking and financial services organizations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realize their ambitions. We are currently seeking an experienced professional to join our team in the role of Assistant Vice President - Visualization Specialist Support the build of outcome driven Visualizations and Metrics that unlock the value of data through storytelling Collaborate with Business stakeholders (e.g., Product Owner) to architect the user design solution Collaborate with Business stakeholders (e.g., Product Owner) to facilitate and participate in inception workshops to create a shared understanding of user needs and the potential technology solution required to deliver to these needs Ability to comprehend and translate complex functional, technical and business requirements into executable architectural designs Ability to develop high volume, low latency solutions in a fast-paced environment Develop strong understanding of business domain, its strategic direction, functional goals, and the required technical expertise Drive innovation for self and the team to deliver incremental business value. Requirements Graduates and above with minimum 8-9 years working experience in data analysis/reporting domain with degree or equivalent from reputed university with specialization in numerical discipline and concentration in computer science, information systems or other engineering specializations Good analytical skills with business analysis aptitude. Knowledge and understanding of financial-services/ banking-operations is advantageous Good knowledge of Data Visualization and self-service Dashboards/reporting in Qlik sense, Looker, Tableau Power BI along with experience in N Printing with Qlik sense and third-party extensions such as Viz Lib Library is a plus Excellent creative skills and ability to visualize complex concepts and turn it into user friendly solutions Excellent skills in translating design wireframes and mock-ups into responsive and interactive web Hands on experience in creating good web interface using best practices for UI/ UX design, SQL especially using Oracle, Hadoop databases Experience in driving and large-scale change and transformation Program Excellent understanding of data modeling, dimensional modeling and experience of working with large data sets Ability to comprehend business problems and analyze them Strong documentation and summarizing skills for senior audiences

As part of the Concession Prevention Program (CPP) within the India Security Loss Prevention team, this role is crucial in protecting the organizations financial interests. We are looking for an candidate who is willing to challenge conventional practices and drive innovation. As a CPP Analyst, you will play a significant role in directly impacting the companys profitability. Your primary responsibility will be to analyze and reduce concessions, which are financial adjustments or losses, thus directly contributing to the organizations bottom line. By effectively managing and optimizing the concession bucket, you will help enhance the overall financial performance and security of the organization. Your efforts will be vital in ensuring that financial losses are minimized, thereby supporting the organizations long-term success and stability. The work will involve but not limited to 1. Resolve TT Related to Refund Claims by Customers: Efficiently manage and resolve trouble tickets (TT) related to customer refund claims, ensuring timely and accurate processing. 2. Analyze/Perform Multiple Checks Using Multiple Tools to Verify Customer Claims: Utilize various tools and methods to thoroughly verify the legitimacy of customer claims, ensuring accuracy and preventing fraudulent activities. 3. Handle Escalation Cases in a Time-Bound Manner: Address and resolve escalated cases promptly, ensuring customer satisfaction and maintaining service quality standards. 4. Meet Daily TT Resolution Targets While Maintaining TT Quality Parameters: Achieve daily targets for trouble ticket resolution, ensuring that all quality parameters are met to maintain high service standards. 5. Create Reports on Loss Data, RCA, and Related Trends Over Time: Develop detailed reports on loss data, root cause analysis (RCA), and observe related trends over time to identify areas for improvement and implement preventive measures. 6. Connect with Stakeholders from Other Teams to Control Issues Impacting TT Resolution Output: Collaborate with stakeholders from various teams to address and resolve issues that may affect the efficiency and effectiveness of trouble ticket resolution. 7. Any other work assigned by organization. 1. Educational Background: A graduate with a background that includes some technical knowledge, particularly related to IT. 2. Data Analysis Skills: Proficient in data analysis, with the ability to interpret and draw insights from data to inform decision-making processes. 3. Technical Proficiency: Good working knowledge of Microsoft Excel and the internet, essential for performing day-to-day tasks efficiently. 4. Adaptability: The ability to quickly learn and adapt to new tools and technologies as required by the job, ensuring continuous improvement and keeping up with evolving job demands. 5. Knowledge of carrying out investigation and provide RCA and Corrective / Preventive actions. 1. Microsoft Excel and Internet: Good working knowledge of Microsoft Excel and internet navigation, essential for performing day-to-day tasks efficiently. 2. Tableau: Working knowledge of Tableau for data visualization and reporting. 3. SQL: Proficiency in building SQL queries and extracting data from databases.

NAB is looking for Analyst to join our dynamic team and embark on a rewarding career journey. Conduct in-depth research and analysis to interpret data, trends, and patterns relevant to business goals Prepare detailed reports and dashboards to support decision-making across departments Collaborate with stakeholders to gather requirements, define KPIs, and provide actionable insights Use tools such as Excel, SQL, Python, or BI software to manipulate and visualize large datasets Identify process inefficiencies and recommend strategic improvements Ensure accuracy, consistency, and timeliness of data while maintaining data confidentiality and compliance with internal standards

Oliver Wyman is looking for Senior Analyst to join our dynamic team and embark on a rewarding career journey. The Senior Analyst plays a crucial role in driving data-driven decision-making processes within the organization This position involves analyzing complex data sets, generating actionable insights, and providing strategic recommendations to support key business initiatives Key Responsibilities:Data Analysis:Conduct in-depth analysis of large and complex datasets to extract meaningful insights Utilize statistical and data visualization tools to present findings in a clear and concise manner Strategic Planning:Collaborate with cross-functional teams to understand business objectives and provide analytical support for strategic initiatives Develop and maintain models to support forecasting, budgeting, and other planning processes Reporting and Dashboards:Design and create comprehensive reports and dashboards to track key performance indicators (KPIs) and metrics Automate reporting processes to improve efficiency and accuracy Trend Analysis:Identify trends and patterns in data to help anticipate opportunities and challenges Provide insights on market trends, competitor analysis, and industry benchmarks Decision Support:Assist senior management in making informed decisions by providing data-driven recommendations Evaluate the impact of proposed strategies on business outcomes Process Improvement:Identify areas for process improvement and efficiency gains based on data analysis Collaborate with teams to implement changes and measure the impact