2674 Data Visualization Jobs - Page 26

Role Overview: We are seeking a skilled and detail-oriented Marketing Research and Data Analyst to support our marketing efforts through data analysis and research. The ideal candidate will have strong analytical skills, a deep understanding of market trends, and a keen eye for translating data into actionable insights that drive strategic marketing decisions. Key Responsibilities: Market Research & Analysis: 1. Conduct thorough research on market trends, consumer behavior, and competitor activities. 2. Analyze industry data to identify growth opportunities and emerging trends. 3. Gather and interpret qualitative and quantitative data to provide insights that inform marketing strategies. Data Reporting & Visualization: 1. Prepare and present detailed reports on market performance, customer segmentation, campaign effectiveness, and leads analysis. (Qualifying ratios and analysis on potential closure prospects) 2. Utilize data visualization tools (e.g., Tableau, Power BI) to present findings in a clear, concise manner. 3. Develop dashboards and tracking tools to monitor key marketing metrics and KPIs. Campaign & Performance Analysis: 1. Track and analyze the effectiveness of ongoing marketing campaigns to provide actionable insights for optimization. 2. Conduct post-campaign performance analysis to evaluate ROI and identify areas for improvement. 3. Collaborate with the marketing team to adjust strategies based on data findings. Customer Segmentation & Profiling: 1. Segment customer data to identify target audiences and personalize marketing efforts. 2. Utilize CRM systems and other tools to analyze customer behaviors, preferences, and purchasing patterns. Competitive Analysis: Monitor competitor activities and analyze their marketing strategies, pricing models, and customer engagement. Requirements: 1. Bachelors degree in Marketing, Business Analytics, Statistics, or a related field. 2. Proficiency in Excel, Google Analytics,Looker Studio, and data visualization tools (e.g., Tableau, Power BI). 3. Strong understanding of marketing metrics, customer segmentation, and marketing analytics. 4. Excellent analytical and problem-solving skills, with a focus on attention to detail. 5. Strong written and verbal communication skills to present data findings effectively.

Key responsibilities: 1. Use tools to analyze data, draw insights and present to stakeholders. Take ownership of data tracking, data analysis, reporting, dashboarding and presenting the data to middle/senior management. 2. Compile key pieces of information related to performance against defined KPIs to be reviewed by Management and report anomalies if any. 3. Understand the process in place and implement automation/ process simplification to bring in efficiency and reduce manual effort. 4. Engage with internal and external stakeholders for day to day activities and drive communication with cross-functional teams. 5. Bring insights about revenue improvement, business operation optimization, margin improvement, new market opportunities etc. Additional responsibilities: 1. Advanced MS suite skill(excel, word, ppt) & Google suite skill(sheet, form, doc). 2. Working understanding of SQL, Mongo DB, Tableau/ Power BI. 3. Strong analytical skill - able to draw actionable insights from data. 4. Good interpersonal skill and excellent communication skill. 5. Multitasking and prioritization ability. 6. Ability to work in a dynamic and ambiguous environment.

About Akanksha: The Akanksha Foundation is a non-profit organization with the mission to build one of the most innovative school networks that empowers children from low-income communities to maximize their potential. Akanksha currently serves 10,000 children and 4000 alumni, through its 26 schools in Pune, Mumbai & Nagpur Metropolitan Regions in partnership with the municipalities. Position Summary: We are looking for a passionate and experienced Full Stack Developer to join our technology team. You will play a key role in building, maintaining, and scaling internal platforms and dashboards that improve decision-making across the organization. The role requires strong backend development skills in Python (preferably using Flask or Django ), experience with MySQL databases, and familiarity with data visualization using libraries like Plotly , Matplotlib , Pandas , and NumPy . Knowledge of AWS deployment is highly desirable. Key Responsibilities: Backend Development: Design and develop RESTful APIs using Flask or Django frameworks Handle authentication, authorization, data handling, and business logic Write scalable and reusable Python code Database Management: Design, optimize, and maintain MySQL database schemas Perform data migrations, indexing, and performance tuning Ensure secure, clean, and structured data storage Frontend Development: Build user-friendly interfaces using HTML, CSS, JavaScript Integrate APIs with frontend components to ensure smooth UX Data Visualization & Analytics: Use Plotly , Matplotlib , Pandas , and NumPy to process and display data Build dashboards that present real-time insights from datasets Deployment & DevOps: Deploy web applications on AWS (EC2, RDS, S3, etc.) Manage environment variables, backups, server monitoring, and basic CI/CD Collaboration & Communication: Work closely with the product, data, and operations teams to gather requirements Document code, APIs, and development processes clearly Troubleshoot and resolve bugs or performance issues quickly Required Skills and Qualifications: Proficient in Python with at least 2 years of experience in Flask or Django Strong experience with MySQL : writing queries, joins, stored procedures, etc Solid understanding of REST APIs, request/response cycles, and JSON handling Familiarity with HTML5 , CSS3 , JavaScript , and basic frontend logic Hands-on experience with Pandas , NumPy , Matplotlib , Plotly for data analysis and visualizations Experience with AWS for application deployment (EC2, RDS, S3, IAM) Version control using Git and working knowledge of collaborative development tools Familiarity with JavaScript frameworks like React or Vue Experience with Docker and containerized deployment Understanding of secure coding practices Exposure to task runners or background jobs (e.g., Celery, cron)

Product Managers at SpotDraft strive to build a highly reliable, fast, secure, and scalable platform. The product team conceptualizes strategy and features that would evangelize it and provides a roadmap for creating thorough, user-centric solutions. The team comprises visionaries, risk-takers, and go-getters who are adept at analyzing fast and analyzing right, identifying and keeping all the variables in consideration. Key Responsibilities: Working closely with the Backend Engineering & Front-end Engineering, Legal Tech, Design, and Customer Success teams to deliver world-class customer-obsessed products and features Be the voice of the customer. Develop a deep understanding of our customers and build the best product user experiences on their behalf. Get onto meetings with the customers to understand their needs and solve their pain points Create knowledge base and training videos to help customers get more value from SpotDraft Set up nudges and tooltips to train and drive product-led adoption Create detailed product requirement documents and user stories with an ability to imagine the user journeys - happy paths, unhappy paths, and edge cases Empathize with dozens of personas and use cases, and think user-first. Have a data-oriented approach and an eye for numbers, insights, and metrics. Ability to think creatively, deal with ambiguity, and manage fast-paced environments and changing priorities. And most essentially, a founder's mindset: is to own initiatives & deliver results. Requirements: 3-5 years of relevant product management experience in a product company Has shipped high impact products consistently, ideally for a SaaS product High energy and high ownership individual with a keen interest in building 0 to 1 systems that have large-scale real-world impact Good understanding of UX Design practices in the SaaS space Ability to think granularly and are hungry to learn and evolve in all things. Bias for action and experience making things happen in a fast-paced, dynamic environment. Strong written and verbal communication skills with a knack for articulating customer challenges clearly. Analyze and synthesize data, including writing SQL Proficient with data analytics tools like Google Analytics, Amplitude, Metabase etc., or the equivalents Working at SpotDraft When you join SpotDraft, you will be joining an ambitious team that is passionate about creating a globally recognized legal tech company. We set each other up for success and encourage everyone in the team to play an active role in building the company. An opportunity to work alongside one of the most talent-dense teams. An opportunity to build your professional network through interacting with influential and highly sought-after founders, investors, venture capitalists and market leaders. Hands-on impact and space for complete ownership of end-to-end processes. We are an outcome-driven organisation and trust each other to drive outcomes whilst being audacious with our goals. Our Core Values Our business is to delight Customers Be Transparent. Be Direct Be Audacious Outcomes over everything else Be 1% better every day Elevate each other Be passionate. Take Ownership

As we scale we are looking for a Product Analyst who will shape the direction of SpotDrafts products by using data-driven insights to identify opportunities and prioritize product and engineering initiatives. This is a pivotal role in the product team. The selected candidate will have complete ownership of driving and evangelizing product analytics in one of the fastest-growing SaaS companies in India. Specific responsibilities include: Key Responsibilities: Drive product impact by proposing and conducting quantitative research into key user behaviors - in partnership with product managers, engineers, designers, and other team members Work with Product Managers to ensure the right instrumentation is set up for product features that are being launched Develop an in-depth understanding of user journeys on the SpotDraft platform and create funnels reports and dashboards. Measure, report, and analyze metrics that indicate progress and gaps towards adoption and engagement goals. Requirements: 2+ years of experience in a similar role Passionate about solving problems possesses a relentless need for investigation and data exploration Strong foundation in data query/manipulation using SQL and data visualization using tools like Metabase Experience in product analytics tools (Mixpanel, Amplitude, Heap, Google Analytics, Datadog, etc) and AB testing Experience using Python, R, or other tools for statistical analysis is a strong plus. Should be able to engage with product managers and senior management. Growth Mindset Working at SpotDraft When you join SpotDraft, you will be joining an ambitious team that is passionate about creating a globally recognized legal tech company. We set each other up for success and encourage everyone in the team to play an active role in building the company. An opportunity to work alongside one of the most talent-dense teams. An opportunity to build your professional network through interacting with influential and highly sought-after founders, investors, venture capitalists and market leaders. Hands-on impact and space for complete ownership of end-to-end processes. We are an outcome-driven organisation and trust each other to drive outcomes whilst being audacious with our goals. Our Core Values Our business is to delight Customers Be Transparent. Be Direct Be Audacious Outcomes over everything else Be 1% better every day Elevate each other Be passionate. Take Ownership

Job Title: Machine Learning Engineer Job Description: The ideal candidate will have a strong background in applying machine learning to Digital Signal Processing, particularly in audio signal analysis and accelerometer data analysis. This role involves developing innovative ML models, including CNNs, RNNs, and GANs, and leveraging techniques such as LLMs and low-rank adaptation to enhance our product offerings. The successful candidate will also be proficient in MLOps practices and deploying ML models into production environments. Key Responsibilities: Custom ML Model Development: Design and build custom machine learning models from scratch, tailored to specific applications in digital and audio signal processing and accelerometer data analysis. The ideal candidate will have published papers or demonstrable customized models custom-built for specific problem domains. Advanced ML Techniques: Apply advanced machine learning techniques, including time series analysis, CNNs, RNNs, GANs, LLMs, and low-rank adaptation, to solve complex problems in pet wellness technology. Data Analysis and Processing: Perform sophisticated data analysis and preprocessing to prepare datasets for machine learning applications. MLOps and Model Deployment: Implement MLOps practices to streamline the deployment of machine learning models into production, ensuring scalability, performance, and reliability. Performance Optimization: Continuously monitor and optimize ML models to improve accuracy and efficiency. Cross-functional Collaboration: Work closely with product development, engineering, and data science teams to integrate ML models into Hoomanely Inc.'s product ecosystem. Research and Innovation: Stay abreast of the latest developments in machine learning and signal processing to drive innovation within the company. Qualifications: Bachelors/Masters in Engineering in Computer Science, Data Science, Electrical Engineering, or a related field focusing on machine learning. Preferably from a top tier (Tier 1 in India/US - IIT, NIT equivalent) institute. Proven experience building custom ML models for digital signal processing, audio signal analysis, and accelerometer data analysis, with a minimum of 6 years of relevant experience. Strong knowledge of time series-based machine learning, CNNs, RNNs, GANs, LLMs, and low-rank adaptation techniques. Experience with MLOps practices and deploying machine learning models in production environments. Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python). Excellent analytical, problem-solving, and communication skills. Preferred Skills: Experience in pet wellness or related industries. Familiarity with IoT device data processing and analysis. Knowledge of cloud computing platforms and services for ML deployment. Application Process: Interested candidates should submit a resume, cover letter highlighting their machine learning expertise and specific projects related to signal processing and model deployment, and links to relevant work or publications. The selection process will include technical interviews, a practical machine learning assessment, and discussions on past projects and contributions.

Role & responsibilities Set the standards and expectations through your conduct, work ethic, integrity, and character; Create and deliver end-user, partner, and distributor training which includes curriculum, training, and exams for all general preparatory courses prior to enterprise endorsement; Deliver technical preparatory training covering basic skill requirements as identified by enterprise needs Accomplish projects and motivate trainees through effective training; Continuously improve training programs and the other learning opportunities across the organization; Amend and revise programs as necessary for them to adapt to the changes occurring in the work environment; Act as the content expert, and maintain relevant training documents and training materials for training conducted; Develop and create effective induction programs; Monitor and review trainees progress through questionnaires and discuss with their managers; Ensure that statutory training requirements are met, understand e-learning techniques and identify where they are relevant, and be involved in the creation and/or delivery of e- learning packages; Research and present new technologies and methodologies in workplace learning; and Ensure that all trainees adhere to the companys Code of Conduct. Preferred candidate profile With at least 1+ years of working experience in a related field (training or teaching experience). Strong proficiency in SQL and experience in data visualization & reporting tools of at least 3-5 years. Exceptional problem-solving & critical-thinking skills. Can present and facilitate a class discussion. Energetic, enthusiastic, and creativecan think outside the box with different ways to motivate and engage an audience. With strong interpersonal, conflict management, mentoring, organizational, project management, and influencing skills. Has excellent oral and written communication skills. Can work on a flexible schedule including weekends, holidays, and longer hours. Perks and benefits Salary best in industry International exposure

About The Role Collaborate with department heads to understand their staffing needs and job requirements. Manager and maintain TA databases, and prepare relevant dashboards. Utilize various sourcing methods, such as job portals, social media, networking, and referrals, to identify potential candidates. Create compelling job postings and advertisements to attract qualified candidates. Review resumes and applications, conduct preliminary screenings, and assess candidate qualifications and suitability for the position. Conduct phone or inperson interviews to evaluate candidates' skills, experience, and cultural fit. Schedule and coordinate interviews between candidates and interview panels. Provide guidance and support to both candidates and hiring teams throughout the interview process. Administer and evaluate pre-employment assessments, tests, or other screening methods to assess candidates' skills, aptitude, and compatibility with the role and organization. Facilitate the offer process by extending offers to selected candidates and negotiating compensation packages. Collaborate with other departmental heads and onboarding, to ensure a smooth transition for new hires. Stay informed about the latest recruitment trends, techniques, and best practices. Continuously improve recruitment processes and strategies to attract top talent.

Hiring: Process Engineers (2 - 7 Years Experience) Location: Thane (W), Mumbai, Maharashtra Company: Ingenero Technologies (India) Pvt. Ltd. Website: www.ingenero.com About Ingenero: Ingenero Inc, USA is a high-end consulting and engineering company and a recognized world leader in technical solution design and profitability improvement based on the latest tool technology available in the current market. We are headquartered in Houston, Texas and all our deliveries are managed from our HQ and technology center in Mumbai, India. INGENERO has a strong execution team with over 8000 man-years of experience; 500+ engineers (~450 Process Engineers) trained at leading engineering and manufacturing companies. INGENERO leverages state-of-the-art software tools (proficiency of more than 100 modeling tools) and techniques with the best available engineering and scientific graduates from top universities/companies across the globe. Role: Data Analyst / Scientist Responsibilities: - - Lead the design, development, and deployment of comprehensive analytics solutions for petrochemical and refinery units. Translate business requirements into scalable, data-driven models and solutions. - Perform data cleaning, preprocessing, and feature engineering to create high-quality datasets for modeling. - Develop, validate, and maintain machine learning and deep learning models using Python, focusing on practical, real-world applications for client-specific challenges. - Apply advanced statistical techniques to analyze large datasets, uncovering trends, patterns, and insights that drive informed decision-making. - Collaborate closely with a multi-disciplinary team, including Process Engineers, Data Engineers, and UI Developers, to ensure the successful delivery of project objectives. - Maintain comprehensive and detailed documentation for all projects, ensuring that processes, methodologies, and outcomes are clearly recorded. Prepare and present reports that communicate findings, methodologies, and recommendations to stakeholders in a clear and actionable manner. - Researching and staying updated on emerging data science tools, techniques, and machine learning models. Requirements: - 2-7 years of experience in predictive, descriptive and prescriptive modeling within the Analytics and Machine Learning space. Experience in the petrochemical or refinery industry is highly desirable but not mandatory. - Strong proficiency in Python, with hands-on experience in machine learning frameworks such as Keras and Scikit-learn. Demonstrated ability to develop, deploy, and maintain machine learning and deep learning models in production environments. - In-depth understanding of statistical analysis techniques, including time series forecasting and anomaly detection. - Extensive experience with Python, MySQL and Git. - Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders. Proven ability to work effectively in a collaborative, cross-functional team environment. - Highly self-motivated with a strong desire to learn, explore, and integrate new technologies and methodologies. - Excellent problem-solving skills and a client-focused mindset. - Familiarity with cloud-based data processing and analytics platforms along with previous experience with Azure, Databricks, and PySpark is a plus. Interested? We'd love to hear from you! Please share the following details with your application: Total Experience Current CTC Expected CTC Notice Period Current Location Plants/Processes Handled Simulation Software Known Academic Scores (10th, 12th, B.Tech, M.Tech) Contact: Shweta Shetty Borse Human Resources Ingenero Technologies shweta@ingenero.com +91 22 6176 4667 Corporate Office: Unit No. 2, 8th Floor, A Wing, iThink Techno Campus, Pokhran Road No. 2, Thane (W), Mumbai, Maharashtra 400607.

Exp- 6-8 years Notice Period: 15 days(Max)

Role Summary: Lead and drive the development in BI domain using Tableau eco-system with deep technical and BI ecosystem knowledge. The resource will be responsible for the dashboard design, development, and delivery of BI services using Tableau eco-system. Key functions & responsibilities: Communication & interaction with Project Manager to understand the requirement Dashboard designing, development and deployment using Tableau eco-system Ensure delivery within given time frame while maintaining quality Stay up to date with current tech and bring relevant ideas to the table Proactively work with the Management team to identify and resolve issues Performs other related duties as assigned or advised He/she should be a leader that sets the standard and expectations through example in his/her conduct, work ethic, integrity and character Contribute in dashboard designing, R&D and project delivery using Tableau Experience: Overall 3-5 Years of experience in DWBI development projects, having worked on BI and Visualization technologies (Tableau, Qlikview) for at least 2 years. At least 2 years of experience covering Tableau implementation lifecycle including hands-on development/programming, managing security, data modeling, data blending, etc. Technology & Skills: Hands-on expertise of Tableau administration and maintenance Strong working knowledge and development experience with Tableau Server and Desktop Strong knowledge in SQL, PL/SQL and Data modelling Knowledge of databases like Microsoft SQL Server, Oracle, etc. Exposure to alternate Visualization technologies like Qlikview, Spotfire, Pentaho etc. Good communication & Analytical skills with Excellent creative and conceptual thinking abilities Superior organizational skills, attention to detail/level of quality, Strong communication skills, both verbal and written

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

Experience in Configuration and optimisation of products for customers. Developing technology and product skills along with data analyst. Python/shell script, Unix/Linux, SQL. Data preparation, aggregation, visualisation, analysis, statistics, R. Required Candidate profile 4-7 years of exp as Implementation Engineer. BE/Btech in computer science engineering or a related field. Aviation industry domain. Proficient in Python/shell script, Unix/Linux, SQL, Data Analysis

NAB 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

Data Analyst Trainer & Executive - Kochi - Finprov Learning Data Analyst Trainer & Executive Kochi Job Description Data Analyst We are looking for a Data Analyst who will be responsible for conducting data analysis and delivering insightful reports while also training students and internal trainers. The ideal candidate should have strong analytical skills, a passion for teaching, and the ability to translate complex data into actionable insights. Key Responsibilities Design and develop training materials, case studies, and real-time projects for Develop structured Train the Trainer (TTT) programs to train internal trainers on data analytic tools and methodologies. Conduct hands-on training sessions for students on topics related to data analytics and data visualization and make them capable to indepenedently perform tasks. Continuously update training materials to incorporate the latest tools, technologies, and best practices in data analytics. Use engaging teaching methods, such as case studies, group discussions, and hands on exercises, to enhance student understanding and retention. Data Analysis & Reporting Develop and maintain dashboards, reports, and visualizations using tools like Excel, Power BI, or Tableau to provide meaningful insights for business decisions. Work with cross-functional teams to understand business needs and translate them into actionable data insights. Continuously monitor and analyze operational data, highlighting critical trends and areas requiring management attention. Generate and present periodic reports (daily, weekly, monthly) to management on key business metrics and performance trends. Skills & Qualifications Bachelor s or Master s degree in any field, preferably commerce. Strong knowledge of SQL, Excel, Power BI, Tableau, Python, or R. Proven experience in data analysis, visualization, and reporting. Passion for upskilling and mentoring students and trainers. Fluency in Malayalam and English. Door No -514, Finprov, 1, Ponnurunni-Chalikkavattom Rd, Vyttila, Ernakulam, Kerala 682019.

Job Location: Pune. Full time 5 days a week from Strategy Pune office. Senior AI Engineer I We are looking for a highly skilled AI Engineer to join our team and contribute to the development of AI-powered solutions. The ideal candidate will have expertise in Python programming, REST API development, cloud infrastructure, and AI model integration. This role requires strong problem-solving skills, a deep understanding of AI technologies, and the ability to optimize and deploy AI applications efficiently. Key Responsibilities: Develop, maintain, and optimize AI-driven applications using Python. Implement object-oriented programming, module creation, and unit testing to ensure code quality and maintainability. Design and build RESTful APIs with FastAPI for seamless integration of AI services. Work with various Large Language Models (LLMs), including OpenAI and Azure OpenAI, to enhance AI-driven functionalities. Interface with relational and vector databases for efficient AI data retrieval and storage. Implement text embedding techniques to improve AI-powered natural language processing tasks. Deploy and manage AI applications on cloud platforms such as AWS, Azure, and GCP. Utilize Docker for containerization, ensuring scalable and efficient deployment. Collaborate with cross-functional teams using Git for version control and code management. Requirements: Bachelor s/Master s degree in Computer Science or equivalent. A minimum of 4 years of hands-on experience in Python software development with a focus on modular, scalable, and efficient coding for AI/LLM-based applications. Experience developing and maintaining RESTful APIs using FastAPI and interfacing with relational databases. Experience in implementing LLMs (OpenAI, Azure) using vector databases, text embedding, and RAG. Hands-on experience with cloud platforms (AWS, Azure, GCP) and docker for AI deployment and scaling. Strong Git skills for version control and collaborative development. Ability to adjust and thrive in a fast-paced environment with changing priorities. Strong analytical and problem-solving skills. Familiarity with data visualization tools such as MicroStrategy preferred.

We are a passionate group of people focused on making financial services accessible to every Indian through a multi-product platform. Each day, we help millions of customers take charge of their financial journey. Customer obsession is in our DNA. Every product, every design, every algorithm down to the tiniest detail is executed keeping the customers needs and convenience in mind. Our people are our greatest strength. Everyone at FinalReview.in is driven by ownership, customer-centricity, integrity and the passion to constantly challenge the status quo. Are you as passionate about defying conventions and creating something extraordinary as we are? Let s chat. Every individual deserves the knowledge, tools, and confidence to make informed financial decisions. At FinalReview.in, we are making sure every Indian feels empowered to do so through a cutting-edge multi-product platform offering a variety of financial services. Our long-term vision is to become the trusted financial partner for millions of Indians. Our culture enables us to be what we are India s fastest-growing financial services company. It fosters an environment where collaboration, transparency, and open communication take center-stage and hierarchies fade away. There is space for every individual to be themselves and feel motivated to bring their best to the table, as well as craft a promising career for themselves. The values that form our foundation are: Key Role & Responsibilities Interacting with senior stakeholders including department heads/ CXO and expected to drive projects independently with senior management stakeholders & also collaborate with teams to drive impact and results Partner with business/product management teams, identify and track appropriate performance measures, key performance indicators, and associated drivers Work with engineering and research teams on designing, building, and deploying data analysis systems for large data sets and extracting meaningful insights for Business, Marketing, and Product Create algorithms to extract information from large data sets Establish scalable, efficient, automated processes for model development, model validation, model implementation, and large-scale data analysis Develop metrics and prototypes that can be used to drive business decisions Provide support for Sr Management reviews and Investor meetings at regular intervals Design scorecards for business units and automate reports for internal and external stakeholders. Key Skills & Experience: 5-8 Years of relevant Analytics experience. Highly Proficient with SQL Familiar with Data Visualization tools like Tableau, Power BI, Looker Studio, etc. Strong problem-solving ability. The candidate needs to exhibit structured thinking, strong Analytical Skills, Process Orientation, pro-activeness, and the ability to take ownership of projects. Strong Leadership and Project Management skills Apply for this position Allowed Type(s): .pdf, .doc, .docx By using this form you agree with the storage and handling of your data by this website. *

Job Description Summary The Data Science Specialist will develop and implement Artificial Intelligence based solutions across various disciplines in GE Aerospace under the guidance of senior team members. In this role, the candidate will contribute to the development and deployment of modern machine learning, artificial intelligence, statistical methods, operations research, semantic analysis etc. for finding structure in large data sets. Job Description Site Overview Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing. Role Overview The Data Scientist will be responsible to work on data science projects under the supervision of senior team members and deliver business outcomes. Key responsibilities include Development of data science models. Work alongside software developers and software engineers to translate algorithms into viable products and services. Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analysis using descriptive statistics and other methods. Work with data engineers on data quality assessment, data cleansing and data analytics. Generate reports, annotated code, and other projects artifacts to document, archive, and communicate the work and outcomes. Share and discuss findings with team members. The Ideal Candidate The ideal candidate should have experience in Gen AI/LLM, python. Required Qualifications: Bachelor's Degree in Statistics, Machine Learning, Computer Science or related field Proficiency in Python (mandatory). Demonstrated skill at data cleansing, data quality assessment, and using analytics for solving business problems Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on datasets Demonstrated skill at data visualization and storytelling for an audience of stakeholders Strong communication and interpersonal skills Preferred Qualifications: Influences within peer group. Implements specific component(s) of the roadmap. Evaluates features using well known or prescribed recipes and appropriately down selects to valuable ones. Aware of models such as CART SVM RF Neural Net and the associated sub-models Knowledge on Gen AI/LLM Uses Cross Validation and other Verification & Validation techniques to build robust models from large data sets. Understands the types of issues that impact data quality Performs basic data cleaning operations such as flagging missing and invalid data etc. Fits normal parameters to data and assess goodness of fit Can use and interpret t-tests, ANOVA and basic hypothesis testing with good utilization of p-values. Codes using modular practices for reusage and object-oriented Effectively shows visualization of data exploration using box, bubble and matrix plots. Has a basic understanding of GE Aerospace business and how the tools they are developing create value. At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate. #LI-VR1 Additional Information Relocation Assistance Provided: Yes

Data analysts import, inspect, clean, transform, validate, model, or interpret collections of data with regard to the business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. Data analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualizations such as graphs, charts, and dashboards. Job Description - Grade Specific The role combines leadership, technical expertise, and project management skills to ensure the successful delivery of data analysis projects and the development of a high-performing data analyst team. They play a critical role in leveraging data to drive business growth, optimize processes, and enable informed decision-making across the organization. Skills (competencies)

Your Role Excellent in Tableau schema, extract, Dashboard design, implementation, maintenance, and Dashboard development Good knowledge on SQL and database concepts Experience with all the components of Tableau suite including but not limited to Tab, Desktop, Tableau Prep and Tableau Architecture Your Profile Design & develop solutions using Tableau Dashboards (Web and Mobile) with good knowledge on SQL and database concepts. Experience with all the components of Tableau suite including but not limited to Tab, Desktop, Tableau Prep and Tableau Architecture Must have strong Experience in Tableau Development in Reports, dashboards, and documents. What youll love about working here Choosing Capgemini means having the opportunity to make a difference, whether for the worlds leading businesses or for society. It means getting the support you need to shape your career in the way that works for you. It means when the future doesnt look as bright as youd like, you have the opportunity to make change: to rewrite it. When you join Capgemini, you dont just start a new job. You become part of something bigger. A diverse collective of free-thinkers, entrepreneurs and experts, all working together to unleash human energy through technology, for an inclusive and sustainable future. At Capgemini, people are at the heart of everything we do! You can exponentially grow your career by being part of innovative projects and taking advantage of our extensive Learning & Development programs. With us, you will experience an inclusive, safe, healthy, and flexible work environment to bring out the best in you! You also get a chance to make positive social change and build a better world by taking an active role in our Corporate Social Responsibility and Sustainability initiatives. And whilst you make a difference, you will also have a lot of fun. About Capgemini

We are looking for a skilled Power BI Developer to design, develop, and manage business intelligence solutions that provide actionable insights. You will work closely with stakeholders to understand data needs and transform complex datasets into intuitive, interactive dashboards and reports using Power BI. Key Responsibilities: Understand business requirements and translate them into technical BI solutions Design and develop Power BI dashboards, reports, and datasets Optimize data models for performance and scalability Use Python scripts within Power BI for advanced data manipulation, forecasting, and automation Integrate data from multiple sources (SQL, Excel, APIs, etc.) Work with DAX and Power Query for data transformation and calculations Collaborate with data engineers and business analysts to ensure data accuracy Maintain and support existing BI solutions and troubleshoot issues Stay current on Power BI updates and best practices Requirement: Bachelor's degree; MBA or relevant technical degree preferred, with 3-7 years of experience in Data Analytics. Excellent visualization skills, storytelling abilities, and familiarity with best practices for conveying insights in an intuitive and visually compelling manner. Experience in creating, collecting, analyzing, and communicating business insights from data. Strong background in retention, churn, engagement, and marketing analytics metrics. Knowledge of analytics self-service BI approaches and predictive analytics solutions is a strong advantage. Proficiency in SQL and experience working with Microsoft Azure environment. Experience in statistical techniques (e.g., R, hypothesis testing). 2-3 years of hands-on experience with BI Tools such as Tableau, Power BI, or Fabric. Knowledge of GCS or AWS, AI/ML will be a plus. Preferred Qualifications: Microsoft Power BI certification Experience with large data sets and performance tuning

Grade Level (for internal use): 08 Grade Level (for internal use): 8 Job Title: Lead Data Analyst Functional Domain: Enterprise Data Organization Job Overview: The Lead Data Analyst will play a critical role in the CCST team, working in partnership with the Quality Assurance team. The role involves managing client inquiries, analyzing banking datasets, and leveraging advanced data manipulation skills. This position requires proficiency in SQL, and experience with Python, Salesforce, and Power BI is preferred. The successful candidate will thrive in a global team environment, demonstrating a strong commitment to data integrity and client satisfaction. Key Responsibilities: Client Management & Inquiry Resolution: Act as the primary contact for managing and resolving client inquiries, ensuring exceptional service and satisfaction. Data Analysis & Insights: Analyse client questions to uncover actionable insights that support strategic business decisions. Quality Assurance Participation: Participate in the execution of sampling workflow and quality assurance initiatives to enhance data accuracy and reliability. Data Visualization: Design and develop intuitive Power BI dashboards to facilitate effective data visualization for stakeholders. Advanced Data Manipulation: Employ advanced SQL and Python skills for comprehensive data manipulation and analysis, driving product enhancement. Cross-Functional Collaboration: Collaborate with cross-functional teams to ensure data initiatives align with organizational objectives, fostering a global mindset. Shift Adaptability: Adapt to varying shifts as required, ensuring consistent and reliable support across diverse time zones. What's In It for You: Collaborative Environment: Work closely with client-facing teams to enhance service delivery and client satisfaction. Quality Focus: Engage with the Quality Assurance team to ensure data accuracy and integrity across all analyses. Career Growth: Opportunity to progress within the organization by leveraging strong technical knowledge and expertise. Skill Development: Enhance your skills in data analysis, visualization, and client management through continuous learning and development. Global Exposure: Be part of a diverse team that operates across different time zones, promoting a global mindset and cultural understanding. Basic Required Qualifications: Bachelors degree in Data Science, Computer Science, Finance, or a related field. Proven experience working with banking datasets and managing client inquiries. Proficiency in SQL for data analysis and manipulation. Ability to work in varying shifts to accommodate global business needs. Key Soft Skills: Strong attention to detail and analytical thinking. Excellent communication skills, both written and verbal. Ability to work collaboratively in a team-oriented environment. Flexibility and adaptability to changing work conditions and priorities. Additional Preferred Qualifications: Experience with Python for advanced data analysis and automation. Familiarity with Salesforce for client relationship management. Proficiency in Power BI for creating impactful data visualizations. Demonstrated ability to quickly learn and apply new technologies. Previous experience in a client-facing role within the financial sector.

Job Title: Data Analyst / AI & Deep Learning Location: Remote Type: Full-time Company Overview We work with organizations building advanced AI-powered solutions in areas such as real-time security, smart surveillance, and human behaviour analysis. Our clients combine technologies like computer vision, sensor fusion, and deep learning to drive innovation across embedded systems and cloud platforms. These solutions aim to make physical spaces safer, smarter, and more responsive. We're looking for early-career professionals who are eager to work with complex datasets, support machine learning workflows, and contribute to impactful, real-world AI products. Who would be a Good Fit? Candidates with strong foundation in data analysis, statistics, or machine learning fundamentals, and are passionate about turning messy, real-world data into meaningful insights. This role is perfect for someone with hands-on exposure to tools like Python and SQL, and an interest in working on next-generation AI products. Key Responsibilities Support the collection, cleaning, and preparation of datasets (image, video, sensor, time series). Assist in building and maintaining data pipelines for training and evaluating models. Perform exploratory data analysis (EDA) to uncover patterns or anomalies. Work with cross-functional teams to monitor model metrics and performance. Create visualizations and reports using tools like Seaborn, Plotly, or Tableau. Support annotation processes and help manage data quality checks. Automate routine data handling and reporting tasks using Python and SQL. Required Skills & Qualifications 1 to 3 years of experience in a Data Analysis, Data Science, or related role. Proficiency in Python, along with libraries like Pandas and NumPy. Solid understanding of data cleaning, preprocessing, and exploratory analysis. Working knowledge of SQL and experience working with relational databases. Familiarity with data visualization libraries or tools (e.g., Plotly, Tableau, PowerBI). Experience working with Jupyter or Google Colab for prototyping and analysis. Strong attention to detail and ability to follow data governance and documentation practices. Nice to Have Exposure to computer vision or sensor data projects. Experience with data labelling or annotation platforms (e.g., Label Studio, Roboflow). Familiarity with cloud platforms (e.g., AWS S3, EC2) and version control (Git).

SUMMARY Job Opening: About the Client: Our client is a leading global Fortune 500 IT solutions company that specializes in providing straightforward and scalable solutions to solve intricate business challenges. With a team of over 1,500 professionals, they offer technical and domain expertise across various platforms and industries to assist enterprise companies in enhancing productivity, efficiency, and optimizing their technology investments. Designation: BI Analyst - Team Leader/ Team Manager Experience: 7-15 Yrs Location: Hyderabad Skills required: Attention to detail Problem Understanding Hands-On with Strong SQL Min 2yrs experience working with Large volume data set Good experience in working with End to End Data analytics project, from Data modelling, Data extraction to building the insights Strong Stats + Strong understanding of visualizations w.r.t. business use case. Create technical documentation, versioning, testing, change control, configuration solutions Experience in BI and dashboard Development areas is needed. Knowledge or working experience with machine learning models would be added advantage. Notice period: Immediate - 30 days

Looking for an analytical Business Analyst to join our team. The ideal candidate will Collect, interpret and visualize data to support business goals, identify business trends, define KPIs, and assess the success and feasibility of business solutions