149 Quicksight Jobs - Page 4

We are looking for a highly motivated and enthusiastic Senior Data Scientist with 5-8 years of experience to join our dynamic team. The ideal candidate should have a strong background in AI/ML analytics and a passion for utilizing data to drive business insights and innovation. Your main responsibilities will include developing and implementing machine learning models and algorithms, collaborating with project stakeholders to understand requirements and deliverables, analyzing and interpreting complex data sets using statistical and machine learning techniques, staying updated with the latest advancements in AI/ML technologies, and supporting various AI/ML initiatives by working with cross-functional teams. To qualify for this role, you should have a Bachelor's degree in Computer Science, Data Science, or a related field, along with a strong understanding of machine learning, deep learning, and Generative AI concepts. Preferred skills for this position include experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, and Deep Learning stack using Python. Additionally, expertise in cloud infrastructure for AI/ML on AWS (Sagemaker, Quicksight, Athena, Glue), building secure data ingestion pipelines for unstructured data, proficiency in Python, TypeScript, NodeJS, ReactJS, data visualization tools, deep learning frameworks, version control systems, and Generative AI/LLM based development is desired. Good to have skills include knowledge and experience in building knowledge graphs in production and an understanding of multi-agent systems and their applications in complex problem-solving scenarios. Pentair is an Equal Opportunity Employer, valuing cross-cultural insight and competence for ongoing success, with a belief that a diverse workforce enhances perspectives and ideas for continuous improvement.,

At PwC, the focus of people in risk and compliance is on maintaining regulatory compliance and managing risks for clients, providing advice and solutions. They assist organizations in navigating complex regulatory landscapes and enhancing internal controls to effectively mitigate risks. In actuarial services at PwC, your responsibility will be analyzing and managing financial risks for clients through statistical modeling and data analysis. Your work will aim to generate valuable insights and recommendations to assist businesses in making informed decisions and mitigating potential risks. You will be building meaningful client connections and learning how to manage and inspire others, all while navigating increasingly complex situations. As you grow your personal brand and deepen your technical expertise and awareness of your strengths, you are expected to anticipate the needs of your teams and clients and deliver quality. Embracing increased ambiguity, you should be comfortable when the path forward isn't clear, ask questions, and utilize these moments as opportunities for growth. Examples of the skills, knowledge, and experiences required to lead and deliver value at this level include but are not limited to: - Responding effectively to diverse perspectives, needs, and feelings of others. - Using a broad range of tools, methodologies, and techniques to generate new ideas and solve problems. - Applying critical thinking to break down complex concepts. - Understanding the broader objectives of your project or role and how your work aligns with the overall strategy. - Developing a deeper understanding of the business context and its changing dynamics. - Using reflection to enhance self-awareness, strengthen strengths, and address development areas. - Interpreting data to derive insights and recommendations. - Upholding and reinforcing professional and technical standards, the Firm's code of conduct, and independence requirements. As part of the Risk and Compliance team at PwC Acceleration Centers (ACs), you will be actively supporting various services, from Advisory to Assurance, Tax, and Business Services. Engaging in challenging projects and providing distinctive services to support client engagements through enhanced quality and innovation will be a key responsibility. You will also participate in dynamic and digitally enabled training designed to enhance your technical and professional skills. Supporting life, annuity, and health clients in various ways, including audits, consulting projects, and merger and acquisition activities, you will analyze complex problems, mentor others, maintain standards, build client relationships, and deepen your understanding of the business context. Responsibilities: - Supporting life, annuity, and health clients in various projects. - Conducting audits and consulting on merger and acquisition activities. - Analyzing complex problems to deliver impactful solutions. - Mentoring team members to maintain exemplary standards. - Building enduring client relationships and understanding their needs. - Collaborating across multiple work streams to achieve project goals. - Enhancing technical skills and knowledge within the team. - Contributing to the development of technical acumen. Requirements: - Bachelor's Degree. - 3 years of experience. - Oral and written proficiency in English required. What Sets You Apart: - Proficiency in actuarial methods and principles. - Proficiency in Microsoft Office, especially Excel. - Knowledge of Data Analytics: Python, SQL. - Experience with Visualization Tools: Tableau, PowerBI, QuickSight. - Strong written and verbal communication skills. - Commitment to continuous training and learning. - Team player with quality standards. - Self-motivated with a focus on personal growth.,

You are a highly skilled Data Architect & ETL Engineer with a strong understanding of data, SQL expertise, and experience in ETL transformations and analytics tools. Your role involves designing, implementing, and managing scalable data architectures and ETL pipelines to enable high-quality business intelligence and analytics solutions. You will be responsible for designing and implementing scalable data architectures to support analytics, data integration, and reporting. Developing and maintaining ETL pipelines using Pentaho or other ETL transformation tools will be a key part of your role. Collaboration with business analysts, data scientists, and application teams is essential to ensure efficient data flow. Optimizing SQL queries and building efficient data models for reporting and data warehousing, such as star/snowflake schema, will be part of your responsibilities. Implementing data governance, quality control, and security measures is critical. Additionally, developing interactive reports and dashboards using Tableau, QuickSight, or Power BI is part of the role. Monitoring and troubleshooting data pipelines to ensure high availability and reliability, as well as documenting data flows, ETL processes, and architectural designs, are also important tasks. You should possess a Bachelor's or Master's degree in Computer Science, Information Systems, or a related field, along with 5+ years of experience in data engineering, ETL development, or data architecture. Strong SQL skills and experience with relational databases (PostgreSQL, MySQL, SQL Server, Oracle) are required. Hands-on experience with Pentaho or similar ETL transformation tools, as well as experience with Tableau, QuickSight, or Power BI for data visualization and reporting, is necessary. Knowledge of data modeling, data warehousing, and BI best practices, along with an understanding of data governance, metadata management, and data security, is essential. Strong problem-solving and communication skills are also important. Preferred skills include experience with cloud platforms (AWS, Azure, or GCP) and cloud-based data services, as well as experience in Python or Java for data transformation and automation. Knowledge of CI/CD pipelines for data workflows is a plus. Joining the team offers the opportunity to work on high impact projects in the Fintech industry, providing valuable learning experiences.,

We are looking for a highly motivated and enthusiastic Senior Data Scientist with 5-8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. As a Senior Data Scientist, your key responsibilities will include developing and implementing machine learning models and algorithms. You will work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. It is essential to stay updated with the latest advancements in AI/ML technologies and methodologies and collaborate with cross-functional teams to support various AI/ML initiatives. To qualify for this role, you should have a Bachelor's degree in Computer Science, Data Science, or a related field. A strong understanding of machine learning, deep learning, and Generative AI concepts is required. Preferred skills for this position include experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, and Deep Learning stack using Python. Experience with cloud infrastructure for AI/ML on AWS (Sagemaker, Quicksight, Athena, Glue) is highly desirable. Expertise in building enterprise-grade, secure data ingestion pipelines for unstructured data (ETL/ELT) is a plus. Proficiency in Python, TypeScript, NodeJS, ReactJS, and frameworks like pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy, Glue crawler, ETL, as well as experience with data visualization tools like Matplotlib, Seaborn, and Quicksight, is beneficial. Additionally, knowledge of deep learning frameworks such as TensorFlow, Keras, and PyTorch, experience with version control systems like Git and CodeCommit, and strong knowledge and experience in Generative AI/LLM based development are essential for this role. Experience working with key LLM models APIs (e.g., AWS Bedrock, Azure Open AI/OpenAI) and LLM Frameworks (e.g., LangChain, LlamaIndex), as well as proficiency in effective text chunking techniques and text embeddings, are also preferred skills. Good to have skills include knowledge and experience in building knowledge graphs in production and an understanding of multi-agent systems and their applications in complex problem-solving scenarios. Pentair is an Equal Opportunity Employer that values diversity and believes that a diverse workforce contributes different perspectives and creative ideas, enabling continuous improvement.,

At PwC, our team members in risk and compliance are dedicated to maintaining regulatory compliance and managing risks for our clients. We provide expert advice and solutions to help organizations navigate complex regulatory environments and strengthen their internal controls to effectively mitigate risks. As part of the actuarial services team at PwC, your role will involve analyzing and managing financial risks for clients using statistical modeling and data analysis techniques. Your work will yield valuable insights and recommendations that empower businesses to make well-informed decisions and proactively address potential risks. In this role, you will focus on building meaningful client relationships and honing your leadership skills. You will navigate through intricate situations, enhancing your personal brand, technical expertise, and self-awareness. Anticipating the needs of your teams and clients, you will consistently deliver high-quality results. Embracing ambiguity, you will approach unclear situations with curiosity, seeking opportunities for growth and development. To excel in this position, you will need to demonstrate proficiency in a variety of skills, knowledge, and experiences, including but not limited to: - Responding effectively to diverse perspectives and needs - Utilizing a wide range of tools and methodologies to generate innovative ideas and solve complex problems - Applying critical thinking to deconstruct intricate concepts - Understanding the overarching objectives of your projects and how your contributions align with the overall strategy - Developing a deep understanding of the evolving business landscape - Leveraging data to derive meaningful insights and recommendations - Upholding professional and technical standards in alignment with specific PwC guidelines and ethical requirements As a Senior Associate at the PwC Acceleration Centers, you will play a crucial role in supporting various services, from Advisory to Assurance, Tax, and Business Services. Engaging in challenging projects and providing distinctive services, you will contribute to client engagements by enhancing quality and fostering innovation. Your participation in dynamic and digitally enabled training programs will further enhance your technical and professional skills. Within the Risk and Compliance team, you will assist life, annuity, and health clients through audits, consulting projects, and merger and acquisition initiatives. Analyzing complex issues, mentoring team members, and fostering client relationships will be key aspects of your role. Key Responsibilities: - Supporting life, annuity, and health clients in diverse projects - Conducting audits and providing consulting services for merger and acquisition activities - Analyzing complex problems to deliver impactful solutions - Mentoring team members to uphold exemplary standards - Building lasting client relationships and understanding their unique requirements - Collaborating across multiple work streams to achieve project objectives - Enhancing technical skills and knowledge within the team - Contributing to the development of technical expertise among team members Requirements: - Bachelor's Degree - Minimum of 3 years of relevant experience - Proficiency in both oral and written English Desired Qualifications: - Proficiency in actuarial methods and principles - Strong proficiency in Microsoft Office tools, particularly Excel - Knowledge of Data Analytics tools such as Python, SQL - Experience with Visualization Tools like Tableau, PowerBI, QuickSight - Excellent written and verbal communication skills - Dedication to continuous training and learning - Team player with a commitment to quality standards - Self-motivated individual with a focus on personal growth Join us at PwC and embark on an exciting journey where you can contribute to impactful projects, develop essential skills, and build lasting relationships with clients and colleagues.,

Key Responsibilities Design and develop scalable applications using Python and AWS services Debug and resolve production issues across complex distributed systems Architect solutions aligned with business strategies and industry standards Lead and mentor a team of India-based developers; guide career development Ensure technical deliverables meet highest standards of quality and performance Research and integrate emerging technologies and processes into development strategy Document solutions in compliance with SDLC standards using defined templates Assemble large, complex datasets based on functional and non-functional requirements Handle operational issues and recommend improvements in technology stack Facilitate end-to-end platform integration across enterprise-level applications Required Skills Technical Skills Cloud & Architecture Tools & Processes Python AWS (EC2, EKS, Glue, Lambda, S3, EMR, RDS, API Gateway) Terraform, CI/CD pipelines Data Engineering Step Functions, CloudFront EventBridge, ARRFlow, Airflow (MWAA), Quicksight Debugging & Troubleshooting System Integration SDLC, Documentation Templates Qualifications 10+ years of software development experience, preferably in financial/trading applications 5+ years of people management and mentoring experience Proven track record in technical leadership and architecture planning Expertise in developing applications using Python and AWS stack Strong grasp of Terraform and automated CI/CD processes Exceptional multitasking and prioritization capabilities

You will play a crucial role as a Lead Analytics Consultant in the Data and Analytics Services team, where your primary responsibility will be to develop innovative visual analytics solutions to facilitate faster and more informed decision-making at Sun Life. Your expertise in data visualization will be instrumental in accelerating the progress of strategic analytics projects that support various business stakeholders. In this role, you will collaborate closely with data engineers, business data analysts, and business operations teams throughout the engagement life cycle, encompassing technical analysis, design, development, implementation, and consulting efforts. Your responsibilities will include providing plans and estimates for reporting initiatives, establishing reporting standards guidelines for development teams, documenting best practices and guidelines for dashboard development, and ensuring quality dashboard outcomes through guiding and training developers. Furthermore, you will be involved in documenting test methodology for defect-free deliveries, maintaining standards for analysis and reporting practices, facilitating group meetings for solution design and decision-making, transforming complex data into easily understandable visual insights aligned with business objectives, and developing a user experience that is both simple and flexible. You are expected to have a minimum graduate degree in Mathematics, Computer Science, Engineering, or a related field, along with over 10 years of total experience and at least 8 years of experience in Tableau, Power BI, QlikView, QuickSight, or other visualization tools. Proficiency in SQL programming, PL/SQL, and working in an agile development environment is essential. Your competencies should include expertise in dashboard designing and development, experience in setting up best practices for BI reporting teams, and a solid understanding of visual design principles and best practices. Additionally, familiarity with PostgreSQL, end-to-end testing of dashboards, creating test cases, leveraging Tableau and QuickSight for data organization, designing custom landing pages for enhanced user experience, and the ability to draw meaningful business insights from various data sources are highly desirable. You should possess strong communication skills, problem-solving abilities, and the capacity to transform user stories into analytical apps for decision-making. Experience in BI Centers of Excellence or platform teams, certifications in visualization tools, exposure to AWS data sources, agile development practices, and data analytics projects will be considered as additional assets for this role. Your role falls under the category of IT - Application Development, and the posting end date for this position is 29/01/2025.,

Overview: TekWissen is a global workforce management provider that offers strategic talent solutions to our clients throughout India and world-wide. Our client is a company operating a marketplace for consumers, sellers, and content creators. It offers merchandise and content purchased for resale from vendors and those offered by thirdparty sellers. Job Title: Data Analyst Location: Bangalore Job Type: Contract Work Type: Onsite Job Description: Roles and Responsibilities: Define Problem & Solution Framework Develop & apply domain/process expertise Translate basic business problem statements into analysis requirements Influence and implement specified analytical approach Work with clients to define best output based on expressed stakeholder needs Write queries and output efficiently Data Acquisition Have in-depth knowledge of the data available in area of expertise Work with structured data in a traditional data storage environment Pull the data needed with standard query syntax; periodically identify more advanced methods of query optimization Cross-check pulled data against other published sources to determine fidelity Analysis/Insight Solve well-defined tasks with clear requirements and limited ambiguity Utilize basic data-manipulation tools Derive actionable recommendations from analysis that impact a process or team Convert data to make it analysis- ready through basic descriptive, aggregations, and pivots Communication/Influence Implement/deploy data visualization or communication tools (e.g., metrics dashboards, decks, flashes) Communicate clearly to stakeholders on project requirements and status Communicate analysis and work with business stakeholders to understand its value Project Management Manage expectations; prioritize own workload and communicate status Provide visibility and updates to manager regarding project timeline and deliverables Escalate problems and roadblocks as needed Technical Skill Requirements: Data Manipulation (Excel, SQL) Data Visualization (Tableau, Quicksight) TekWissen Group is an equal opportunity employer supporting workforce diversity.

Position Title: Specialist- Data Science Business Title: Engineer II- Data Science We are seeking a highly motivated and enthusiastic Senior Data Scientist with over 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities: Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications: Bachelors degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Strong understanding of machine learning, deep learning and Generative AI concepts. Preferred Skills: Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Computer vision(yolo ), Deep Learning stack, NLP using python Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock OR Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain OR LlamaIndex OR RAG ) Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure. Expertise in building enterprise grade, secure data ingestion pipelines (ETL Gluejob, Quicksight) for unstructured data including indexing, search, and advance retrieval patterns. Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals ( VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud, Mistral, etc.), including multimodal inputs and outputs. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Good to have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. ** Title/Designation of role are as per Global Team Job profiling. Local Titles are adjusted for understanding of regional candidates applying for job in India. Designations are dependent on years of relevant work experience and performance during interviews.

Introduction: Maersk is a global leader in integrated logistics and have been industry pioneers for over a century. Through innovation and transformation we are redefining the boundaries of possibility, continuously setting new standards for efficiency, sustainability, and excellence. At Maersk, we believe in the power of diversity, collaboration, and continuous learning and we work hard to ensure that the people in our organisation reflect and understand the customers we exist to serve. With over 100,000 employees across 130 countries, we work together to shape the future of global trade and logistics. Join us as we harness cutting-edge technologies and unlock opportunities on a global scale. Together, let's sail towards a brighter, more sustainable future with Maersk. What we offer: Impact: Your work will directly contribute to the success of our global operations. Opportunity: Maersk provides ample opportunities for growth and development, both professionally and personally. Innovation: Join a forward-thinking team that embraces innovation and cutting-edge technologies. Global Exposure: Collaborate with colleagues from diverse backgrounds and gain exposure to international business practices. Work-Life Balance: We value work-life balance and offer flexible working arrangements to support our employees. Requirement: Portfolio, Program & Project Management includes roles focused on delivering organizational projects/programs. Responsibilties include: developing program/project management best practices/templates; monitoring dependencies across multiple inter-related projects; gathering and reporting consolidated project status and financial information to leadership. May serve as a central governing body to review/audit adherence to methodologies, budgets, and timing. And may provide full staffing and management for the organization's major projects/programs. Professional stream includes those who are individual contributors with main emphasis on applying technical/discipline knowledge rather than managing people to achieve results although coaching/mentoring less experienced staff, informal supervisory responsibilities, or overseeing work of other lower level professionals or manage processes and program are common. Individual work ranges from setting objectives and delivering on own work responsibilities to being a leading expert within a given field and influencing long term tactical decisions of the organization. Progression within this stream reflects increasing depth of professional knowledge, project management capability, and the ability to influence others. A colleague at this level has in-depth knowledge and experience in a functional area. The colleague routinely applies subject matter knowledge to solve common business issues operating within practices and procedures covered by precedents or well-defined policies. A colleague at this level handles most situations independently, receives minimal guidance, but will seek advice, guidance and support on more complex or non-routine topcis. The colleague understands the overall nature of the business and the interdependencies between own and other functions. Leaders at this level are accountable for performance and results in teams of less experienced professionals, frontline workers and admins, and will adapt departmental plans and priorities to address resource and operational challenges. Technical Requirement: Technically adept at SQL and Visualization tools such as PowerBI, Tableau and/or Quicksight 2-4 years of Product management experience building customer facing products Exposure to agile methodology and proven ability to work with a team of engineers. Know how around technical architecture, including metadata, Rest API Integrations, Data API Strong communication skills and ability to coordinate across a diverse group of technical and non-technical stakeholders. Ability to Collaborate with design and technical cross functional team(s) English language well written and spoken. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com .,

Key Responsibilities 5+ years of experience working within an in-house research team or relevant work experience. Experience in quantitative and qualitative research methods. Experience writing reports and internal communications. Excellent communication and analytical skills. Proven ability to work independently and collaborate with a cross-functional team. Experience with agile process and delivery models. A rigorous approach to documentation and organization. Tools: Pendo, User Testing, Hotjar, Figjam, User Zoom, Jira, ChatGPT, Perplexity, Helpscout, Google Workspace, Quicksight, Miro, FigJam, Dovetail, Maze Bonus Points. SaaS experience desired. A versatile thinker comfortable working with ambiguity. Role: Senior Mobile User Experience Researcher Work location: Bengaluru / Mumbai / Pune / Noida / Gurugram Mode: Hybrid Core Skills / Research Methods : • Contextual Enquiry • Dairy Studies • Thematic Analysis • Co-design • Storyboards Wizard of Oz Testing • Ethnography • Focus Groups • Shop-Alongs • Text Analysis • InDepth Interviews • Usability Tests • Field Studies • Surveys • Heuristic Evaluation • Think Aloud • Sentiment Analysis • Concept Mapping

Hello Connections! Greetings from #Teamwaresolutions Great opportunity with one of the top MNC #Data Analyst Location- Bangalore Experience - 2-4 years Interview- Face to Face interview ( either on 10th or 11th July) Notice Period- immediate joiner only Desired Technical Skills: Must have: - Data Analyst Advanced Excel SQL Data Visualization (either on Power bi, Quicksight or Tableau) Interested candidates kindly share your resume to shubha.s@twsol.com

Role: AWS Data Engineer Experience: 6-9 years Location: Bangalore/ Chennai Mode of work: Onsite Interview: F2F required Key Skills: AWS Services, Talend, Python, AWS Glue, Apache Airflow, AWS SageMaker, Amazon Redshift, Terraform

We are seeking a SQL Developer with 7+ years of experience in enterprise-level database management, and excellent communication skills. This role involves handling large datasets (5-10M records) with a focus on performance tuning, deadlock management, and schema design for high-volume data systems. Responsibilities include writing and optimizing SQL code, ETL transformations using SSIS, and managing database transactions. The candidate will also work with MySQL, AWS Data Warehouse, and PostgreSQL, while ensuring scalability and efficiency for tera/petabyte-scale data. Prior experience with data warehouses, conceptualizing schemas, and working with multi-client SAAS solutions is essential. Expertise in tools like AWS QuickSight is preferred. Knowledge of data science and statistics is a plus.

We are seeking a SQL Developer with 7+ years of experience in enterprise-level database management, and excellent communication skills This role involves handling large datasets (5-10M records) with a focus on performance tuning, deadlock management, and schema design for high-volume data systems Responsibilities include writing and optimizing SQL code, ETL transformations using SSIS, and managing database transactions The candidate will also work with MySQL, AWS Data Warehouse, and PostgreSQL, while ensuring scalability and efficiency for tera/petabyte-scale data Prior experience with data warehouses, conceptualizing schemas, and working with multi-client SAAS solutions is essential Expertise in tools like AWS QuickSight is preferred Knowledge of data science and statistics is a plus

Qualification: Degree in Computer Science (or similar), alternatively well-founded professional experience in the desired field Roles Responsibilities: As a Senior Data Engineer, you manage and develop the solutions in close alignment with various business and Spoke stakeholders. You are responsible for the implementation of the IT governance guidelines. Collaborate with the Spokes Data Scientists, Data Analysts, and Business Analysts, when relevant. Tasks Create and manage data pipeline architecture for data ingestion, pipeline setup and data curation Experience working with and creating cloud data solutions Assemble large, complex data sets that meet functional/non-functional business requirements Implement the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Pyspark, SQL and AWS big data-technologies Build analytics tools that use the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics Manipulate data at scale: getting data in a ready-to-use state in close alignment with various business an d Spoke stak eholders Must Have: Advanced knowledge: ETL Data Lake, Data Warehouse, RDS architectures knowledge Python, SQL (Any other OOP language is also valuable) Pyspark (preferably) or Spark Knowledge Object-oriented programming, Clean Code and good documentation skills AWS: S3, Athena, Lambda, Glue, IAM, SQS, EC2, Quicksight, and etc. Git Data Analysis Visualization Optional: AWS CDK Cloud Development Kit CI/CD knowledge

Educational Qualification: Bachelors/master's degree in computer science, Engineering, or a related field 60% above in academics Responsibility: Provide sustainable and well-structured solutions along with documentation. Expertise with cloud services eg. AWS, Azure, GCP Expertise in Spark Expertise in Python and SQL programming. Experience with BI tools: QuickSight, Plotly-Dash, PowerBI, Tableau etc. Development and maintenance of Machine Learning pipelines for existing ML models. Requirements: Expertise in AWS services eg. Glue, SageMaker etc Good analytical skills Experience of working with International clients. Alignment with counterpart for requirements and results. Continuous learning attitude. Good Communication Skills in English

Dashboarding (PowerBI, Quicksight etc) - Data preprocessing, cleaning, modelling and deployment experience. Experience in software engineering Requirements engineering Hands on cloud stack experience (preferred aws) Problem solving Good Communication and presentation skills in English Requirements: Understanding of data structures Continuous learning attitude Deep learning hands on experience Building and Deploying the models Automotive data analysis knowhow Front end development and dashboarding knowhow Experience working with international clients

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : AWS Glue Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As part of a Data Transformation programme you will be part of the Data Marketplace team. In this team you will be responsible for the design and implementation of dashboard for assessing compliance to controls and policies at various stages of the data product lifecycle, with centralised compliance scoring.Preferable having experience with data product lifecycle.Example skills Data Visualisation, Amazon Quicksight, Tableau, PowerBI, Qlik, Data Analysis & Interpretation.As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will oversee the development process and ensure successful project delivery. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the application development process- Ensure timely project delivery- Provide technical guidance and support to the team Professional & Technical Skills: - Must To Have Skills: Proficiency in AWS Glue- Strong understanding of cloud computing principles- Experience with data integration and ETL processes- Hands-on experience in designing and implementing scalable applications- Knowledge of data warehousing concepts Additional Information:- The candidate should have a minimum of 7.5 years of experience in AWS Glue- This position is based at our Gurugram office- A 15 years full-time education is required Qualification 15 years full time education

DATA ANALYST - BUSINESS INTELLIGENCE JOB DESCRIPTION Summary At Applied Research Works Cozeva, we are building the operating system for value-based care, transforming healthcare with data-driven insights. As a Data Analyst, you will work with complex healthcare data to generate meaningful insights and deliver them to key stakeholders, including internal teams and clients. Collaborating with program managers, developers, and engineers, you will help improve clinical performance, streamline operations, and enhance patient outcomes by enabling informed, data-driven decisions in value-based health systems. Roles and Responsibilities Data Management & Analysis: Collaborate with data developers to create, restructure, and manage large datasets, files, and systems, ensuring data accuracy and integrity. Research & Insights Generation: Conduct qualitative and quantitative research using mixed method approaches to uncover meaningful insights that drive strategic decisions. Requirements Gathering & Collaboration: Partner with managers and stakeholders to gather and document business requirements, ensuring data solutions align with organizational needs. Data Acquisition & Optimization: Design and implement data acquisition processes, focusing on scalability, performance optimization, and reliability. Data Visualization & Reporting: Create and maintain interactive data visualizations from multiple sources, enabling decision-makers to track key metrics and identify trends effectively. Continuous Improvement: Regularly analyze data to answer critical business questions, provide strategic recommendations, and support initiatives that enhance productivity and efficiency. Stakeholder Communication: Deliver clear and actionable insights to key stakeholders, fostering data-driven decision-making across departments. Qualifications and Skills – Data Analyst Education: Bachelor’s or Master’s degree in economics, Information Systems, Mathematics, Statistics, Public Health, or a related field. Master’s degree preferred. Analytical Skills: Strong analytical capabilities with expertise in statistical inference, problem definition, data collection, and drawing valid conclusions. Technical Proficiency: Proficiency in data-intensive programming languages such as SQL, Python (preferred) or R. Experience with BI tools like Power BI, Tableau, or AWS QuickSight. Problem-Solving & Critical Thinking: Demonstrated problem-solving skills with a proactive approach to data analysis and identifying growth opportunities. Collaboration & Communication: Ability to work effectively with colleagues at all organizational levels and communicate clearly and concisely with both internal and external stakeholders, verbally and in writing.

Role & responsibilities :- Develop and Implement BI Solutions: Design and develop interactive dashboards, reports, and visualizations using Apache Superset and AWS QuickSight to meet business requirements. Utilize BI Publisher to create pixel-perfect reports and enhance reporting capabilities for various business units. Database and Query Optimization: Write and optimize complex SQL queries to extract, transform, and load (ETL) data from multiple sources. Collaborate with the data engineering team to ensure that the data warehouse is structured in a way that maximizes BI tool performance. Data Analysis & Reporting: Analyze large datasets, providing actionable insights that drive business strategies and decisions. Create ad-hoc reports and dashboards, ensuring data accuracy, timeliness, and relevance. Collaboration with Stakeholders: Work closely with business users to gather requirements and translate them into actionable BI solutions. Partner with cross-functional teams to improve data quality, reporting processes, and overall performance. Minimum of 5 - 6 years of experience as a BI Developer or in a similar role. Proficiency in developing and managing BI Publisher reports. Solid experience with Apache Superset for building interactive dashboards and reports. Hands-on experience with AWS QuickSight for data visualization and reporting. Technical Skills : Strong knowledge of SQL for querying relational databases (e.g., MySQL, PostgreSQL, SQL Server, or Oracle). Familiarity with ETL processes and integrating data from multiple sources. Experience with data modelling and working with large datasets. Preferred candidate profile :- Knowledge of data warehousing concepts and techniques. Experience with data visualization best practices. Excellent analytical and problem-solving skills. Strong communication and collaboration abilities to work effectively with both technical and non-technical stakeholders. Preferred Skills: Experience with cloud data platforms (AWS, Azure, etc.). Familiarity with other BI tools (Power BI, Tableau, etc.). Understanding of data governance and security practices.

Job Description: Are you a data enthusiast with a passion for transforming raw data into actionable insights? We are seeking a talented Data Scientist to join our dynamic team. As a Data Scientist at Intellimind, you will play a pivotal role in leveraging AI, ML, and big data analytics to drive data-driven decision-making and generate tangible business value. Key Responsibilities: Manage, architect, and analyze large datasets to create data-driven insights and high-impact models that drive business growth. Develop predictive statistical models and utilize mathematical tools and techniques to solve complex business problems. Translate business challenges into specific requirements, identify relevant data sources, and deliver analytic solutions. Implement new predictive and prescriptive solutions aligned with business needs and requirements. Lead the development and delivery of large-scale programs that integrate processes with technology to enhance performance. Take ownership of end-to-end big data solutions, including data acquisition, storage, transformation, and analysis. Manage specific project areas or entire projects, working as both an individual contributor and overseeing small work efforts. Work autonomously with minimal supervision, demonstrating strong problem-solving skills. Qualifications & Skills: Bachelors or master’s degree in a relevant field from a well-known top university. 2-3 years of experience in data science and analytics, including AI and ML projects. Proficiency in statistical techniques and machine learning algorithms. Hands-on experience with analysis tools such as R and Python. Understanding of Text Analysis and Natural Language Processing (NLP). Knowledge of AWS Platform. Proficiency in VBA and visualization tools like PowerBI and Quicksight Solid understanding of statistical modeling, machine learning algorithms, and data mining concepts. Advanced proficiency in Excel and PowerPoint. Exceptional written and oral communication skills. Strong interpersonal skills and the ability to collaborate across diverse teams and cultures. Done several projects as related to Data Scientist If you are a data-driven problem solver with a passion for transforming data into meaningful insights, we invite you to join our team and contribute to our mission of delivering high-impact data solutions that provide a competitive advantage for our stakeholders.

About the Role We are seeking a highly motivated and talented AWS QuickSight Developer to join our growing team. The Developer will be responsible for designing, developing, and maintaining data visualizations and reports that provide valuable insights into business performance. This role requires a strong understanding of AWS QuickSight and data visualization tools. Responsibilities: Design, develop, and maintain data visualization dashboards and reports using AWS Quicksight. Good knowledge of ETL pipelines. Write SQL queries for data extraction, transformation, and loading. Conduct data analysis and identify trends, patterns, and anomalies in data. Collaborate with business stakeholders to understand their data needs and translate them into actionable insights. Ensure data quality and accuracy. Stay abreast of the latest trends and technologies in the BI and data analytics space. Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. 5+ years of experience in Business Intelligence and Data Analytics. Strong experience with data visualization using Quicksight, Tableau, or similar tools. Excellent analytical and problem-solving skills. Strong attention to detail and accuracy. Ability to work independently and as part of a team. Bonus Points: Banking domain knowledge Experience on Tableau and similar tools. Experience with cloud-based data platforms (AWS, Azure, GCP). Experience with Agile development methodologies.

Job Role: AWS Quicks Specialist/Lead Location: Bangalore, Mumbai, Pune, Chennai, Hyderabad Work Mode: Hybrid Experience: 5-7 & 7-10 years Skill: AWS QuickSight, SQL, SPICE, Data Visualization Job Overview: We are seeking a skilled QuickSight Developer to join our team and help build insightful, scalable, and interactive data visualizations using AWS QuickSight. The ideal candidate will have experience in business intelligence (BI), data analytics, and dashboard development with a strong understanding of cloud-based data solutions. Role & responsibilities Design, develop, and maintain dashboards and reports using AWS QuickSight. Collaborate with data engineers, business analysts, and stakeholders to understand reporting requirements. Write and optimize SQL queries for data extraction and transformation. Develop and manage QuickSight datasets, SPICE caching, calculated fields, and visualizations. Ensure data accuracy, integrity, and usability for business decision-making. Troubleshoot performance issues and optimize dashboard loading times. Provide documentation and training for end-users on QuickSight functionalities. Migration of tableau reports to QuickSight Preferred candidate profile Proven experience with AWS QuickSight for dashboard and report development. Strong understanding of BI tools, data modeling, and data visualization principles. Proficiency in SQL for querying large datasets and optimizing queries. Knowledge of ETL processes and data pipelines. Strong analytical and problem-solving skills. Ability to work independently and collaboratively in a team environment. Migration of tableau reports to QuickSight

1. Experience of working in AWS cloud service (i.e. S3, AWS Glue, Glue catalogue, Step Functions, lambda, Event Bridge etc) 2. Must have hands on DQ Libraries for data quality checks 3. Proficiency in data modelling and database management. 4. Strong programming skills in python, unix and on ETL technologies like Informatica 5. Experience of DevOps and Agile methodology and associated toolsets (including working with code repositories) and methodologies 6. Knowledge of big data technologies like Hadoop and Spark. 7. Must have hands on Reporting tools Tableau, quick sight and MS Power BI 8. Must have hands on databases like Postgres, MongoDB 9. Experience of using industry recognised frameworks and experience on Streamsets & Kafka is preferred 10. Experience in data sourcing including real time data integration 11. Proficiency in Snowflake Cloud and associated data migration from on premise to Cloud with knowledge on databases like Snowflake, Azure data lake, Postgres