10 Aws Quicksight Jobs

At PwC, the focus in data and analytics revolves around leveraging data to drive insights and make informed business decisions. By utilizing advanced analytics techniques, our team helps clients optimize operations and achieve strategic goals. As a professional in data analysis at PwC, you will specialize in utilizing advanced analytical techniques to extract insights from large datasets, supporting data-driven decision-making. Your role will involve leveraging skills in data manipulation, visualization, and statistical modeling to assist clients in solving complex business problems. PwC US - Acceleration Center is currently seeking individuals with a strong analytical background to join our Analytics Consulting practice. As a Senior Associate, you will be an essential part of business analytics teams in India, collaborating with clients and consultants in the U.S. You will lead teams for high-end analytics consulting engagements and provide business recommendations to project teams. **Years of Experience:** Candidates should possess 4+ years of hands-on experience. **Must Have:** - Experience in building ML models in cloud environments (At least 1 of the 3: Azure ML, GCPs Vertex AI platform, AWS SageMaker) - Knowledge of predictive/prescriptive analytics, particularly in the usage of Log-Log, Log-Linear, Bayesian Regression techniques, Machine Learning algorithms (Supervised and Unsupervised), deep learning algorithms, and Artificial Neural Networks - Good knowledge of statistics, including statistical tests & distributions - Experience in Data analysis, such as data cleansing, standardization, and data preparation for machine learning use cases - Experience in machine learning frameworks and tools (e.g., scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch, MLlib) - Advanced level programming in SQL or Python/Pyspark - Expertise with visualization tools like Tableau, PowerBI, AWS QuickSight, etc. **Nice To Have:** - Working knowledge of containerization (e.g., AWS EKS, Kubernetes), Dockers, and data pipeline orchestration (e.g., Airflow) - Good communication and presentation skills **Roles And Responsibilities:** - Develop and execute project & analysis plans under the guidance of the Project Manager - Interact with and advise consultants/clients in the U.S. as a subject matter expert to formalize data sources, acquire datasets, and clarify data & use cases for a strong understanding of data and business problems - Drive and conduct analysis using advanced analytics tools and mentor junior team members - Implement quality control measures to ensure deliverable integrity - Validate analysis outcomes and recommendations with stakeholders, including the client team - Build storylines and deliver presentations to the client team and/or PwC project leadership team - Contribute to knowledge sharing and firm building activities **Professional And Educational Background:** - Any graduate / BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA,

You should have at least 4+ years of experience for the position based in Pune with an immediate start within 15 days. As a Data Visualization Specialist, your role will involve leveraging your expertise in quantitative fields such as Data Science, Statistics, Mathematics, or Computer Science to create impactful visualizations and dashboards that effectively communicate insights. Responsibilities include: - Holding a Bachelor's degree in a relevant quantitative field. - Demonstrating proficiency in data visualization best practices. - Developing advanced dashboards and conducting data analysis. - Creating clear, intuitive, and impactful visualizations like charts, graphs, tables, and KPIs. - Utilizing AWS QuickSight or similar BI tools for building, publishing, and maintaining interactive dashboards. - Connecting QuickSight to various data sources commonly found in AWS environments such as S3, Redshift, Athena, RDS, and Glue. - Managing QuickSight datasets efficiently, including creating, transforming, and optimizing datasets with calculated fields, parameters, and filters. - Optimizing QuickSight dashboards and data for improved speed and scalability. Qualifications: - Bachelor's degree in a quantitative field. - Proficiency in data visualization best practices. - Experience in developing advanced dashboards and data analysis. - Ability to create impactful visualizations for insightful communication. - Extensive hands-on experience with AWS QuickSight or similar BI tools. - Connecting QuickSight to various data sources and optimizing datasets within QuickSight. - Knowledge of optimizing QuickSight dashboards and data for enhanced performance. Preferred Skills: - Experience working with AWS environments like S3, Redshift, Athena, RDS, and Glue.,

You are an experienced BI Architect with a strong background in Power BI and the Microsoft Azure ecosystem. Your main responsibility will be to design, implement, and enhance business intelligence solutions that aid in strategic decision-making within the organization. You will play a crucial role in leading the BI strategy, architecture, and governance processes, while also guiding a team of BI developers and Data analysts. Your key responsibilities will include designing and implementing scalable BI solutions using Power BI and Azure services, defining BI architecture, data models, security models, and best practices for enterprise reporting. You will collaborate closely with business stakeholders to gather requirements and transform them into data-driven insights. Additionally, you will oversee data governance, metadata management, and Power BI workspace design, optimizing Power BI datasets, reports, and dashboards for performance and usability. Furthermore, you will be expected to establish standards for data visualization, development lifecycle, version control, and deployment. As a mentor to BI developers, you will ensure adherence to coding and architectural standards, integrate Power BI with other applications using APIs, Power Automate, or embedded analytics, and monitor and troubleshoot production BI systems to maintain high availability and data accuracy. To qualify for this role, you should have a minimum of 12 years of overall experience with at least 7 years of hands-on experience with Power BI, including expertise in data modeling, DAX, M/Power Query, custom visuals, and performance tuning. Strong familiarity with Azure services such as Azure SQL Database, Azure Data Lake, Azure Functions, and Azure DevOps is essential. You must also possess a solid understanding of data warehousing, ETL, and dimensional modeling concepts, along with proficiency in SQL, data transformation, and data governance principles. Experience in managing enterprise-level Power BI implementations with large user bases and complex security requirements, excellent communication and stakeholder management skills, the ability to lead cross-functional teams, and influence BI strategy across departments are also prerequisites for this role. Knowledge of Microsoft Fabric architecture and its components, a track record of managing BI teams of 6 or more, and the capability to provide technical leadership and team development are highly desirable. In addition, having the Microsoft Fabric Certification DP 600 and PL-300 would be considered a bonus for this position.,

At Lilly, the focus is on uniting caring with discovery to enhance the lives of people worldwide. As a global healthcare leader based in Indianapolis, Indiana, we are dedicated to developing and delivering life-changing medicines, advancing disease understanding and management, as well as contributing to communities through philanthropy and volunteer work. Our 39,000 employees are committed to giving their best and prioritizing people. We are in search of individuals who share our determination to improve lives on a global scale. As a Full Stack Developer at Lilly, you will collaborate with business-facing IT teams to create new business applications using modern technology stacks and enhance existing applications. Your responsibilities will include crafting reusable design patterns and code modules to facilitate the seamless integration of new technologies into Lilly's custom apps. Additionally, you will be involved in researching and implementing Proof-Of-Concept (POC) and enterprise applications aligned with Lilly's evolving technology portfolio. Key Responsibilities: - Collaborate with Lilly's IT teams to develop new business applications and modernize existing ones. - Design reusable code modules to support the implementation of new technologies. - Conduct research and engage in Proof-Of-Concept (POC) projects related to new technologies. Required Experience: - Proficiency in AWS-based web development. - Familiarity with various AWS Services. - Experience with Frontend Frameworks such as React and jQuery. - Proficiency in Python and/or Node.js. - Experience with both relational and NoSQL databases. - Proficiency in using GitHub, GitHub actions, and understanding branching strategies. - Experience with continuous integration/deployment processes. - Knowledge of 12-Factor Application Development Methodology. - Understanding of secure coding principles and application security vulnerabilities. Desirable Skills: - Experience with data visualization tools like PowerBI, Tableau, etc. - Knowledge of API and Microservice concepts. - Familiarity with Authentication/Identity concepts. - Knowledge of Elasticsearch. Lilly is committed to promoting equal opportunities for individuals with disabilities in the workforce. If you require accommodation to apply for a position at Lilly, please complete the accommodation request form for further assistance. Please note that this form is specifically for accommodation requests during the application process.,

As a Visualisation Analyst at Travelex, your role involves supporting the business in deriving valuable insights and making data-driven decisions. You will collaborate closely with stakeholders from various business domains to design, deliver, and support data solutions, predominantly in the form of dashboards or reports. Additionally, you will assist the visualisation team in enabling self-service access to trusted information for end users. Your work with data visualisation will focus on transforming data into easily understandable metrics, highlighting trends, and providing useful insights to tell user stories effectively. This will play a crucial role in supporting important business decisions by collaborating with data engineers and subject matter experts across the company. In this role, some key responsibilities include: - Utilizing visualisation tools like AWS Quicksight to present data in visual formats such as dashboards. - Creating wireframes and prototypes of visualisations to gather quick user feedback. - Collaborating with stakeholders from different business domains to comprehend their data requirements and offer data-driven solutions. - Providing regular feedback to the visualisation and broader data team in agile ceremonies and on Jira board. - Researching and conducting proof of concepts on analysis and visualisation tools. - Training and assisting colleagues in using visualisation tools and team-produced dashboards. - Staying updated on visualisation best practices and emerging technologies, sharing this knowledge with others. - Supporting the team in promoting data literacy and facilitating easier data analysis for users. - Developing and maintaining documentation for the team and end users. - Supporting visualisation solutions in production through incident and change management. To be successful as a visualisation analyst at Travelex, the key requirements include: - Having 1+ year of experience as a Visualisation or BI Analyst/Developer. - Familiarity with AWS Quicksight or similar data visualisation tools for creating interactive reports and dashboards. - Proficiency in using SQL for querying datasets. - Demonstrating willingness to learn new tools and technologies. - Showing a passion for data and visualisation and recognizing their impact on driving business success. - Ideally having worked in an agile environment. - Possessing good communication skills, both written and oral. - Being an engaging, motivating, and supportive team player. - Applying a creative and analytical approach to problem-solving. - Any industry experience in foreign exchange or financial services would be beneficial but not mandatory.,

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

Business Intelligence Analyst (Minimum Three years of total experience): We are seeking an experienced and highly skilled Business Intelligence Analyst who is passionate about transforming innovative ideas into effective, data-driven solutions. In this role, you will be responsible for designing and delivering business intelligence solutions, which include ETL (Extract, Transform, Load) processes, data visualization, and data analysis. You will collaborate with cross-functional teams, including IT, Finance, and business stakeholders, to understand their requirements, design scalable and efficient solutions, and ensure the availability of insightful visualizations and reports. Your expertise will play a crucial role in driving data-driven decision-making and empowering the organization with actionable insights. Success in this role will require creativity and the ability to work independently to analyze sales data and create business intelligence dashboards. This position entails complete end-to-end project ownership, which includes conducting discovery meetings with stakeholders, leveraging existing SQL queries, building new SQL queries, creating ETL processes using AWS Glue and Lambda, working with AWS Redshift, developing automation workflows, and utilizing data visualization tools such as AWS QuickSight and Power BI. Key Responsibilities: Visualization and Reporting : Design and develop interactive dashboards, reports, and visualizations that provide actionable insights to business stakeholders using industry-leading tools and technologies. Data Analysis : Analyze data, identify insights, and collaborate with sales leaders to recommend business actions. Solution Design : Work closely with business stakeholders to understand their requirements and translate them into comprehensive and scalable business intelligence solutions. Data Asset Creation : Leverage internal data warehouses and external datasets to build new data assets for analysis and visualization. ETL Development : Design and implement ETL processes to extract, transform, and load data, focusing on automation, accuracy, and reusability. Collaboration and Stakeholder Management : Collaborate with cross-functional teams, including data analysts and sales leaders, to understand requirements, gather feedback, and ensure the successful delivery of solutions. Documentation and Training : Create comprehensive documentation of BI solutions (including ETL processes and visualizations) and provide training and support to users and stakeholders on the effective use of business intelligence dashboards and analytics. We recognize that skills and competencies can manifest in various ways and may stem from diverse life experiences. If you do not meet all the listed requirements, we still encourage you to apply for the position. Qualifications: The ideal candidate will have: Excellent problem-solving and analytical skills, with the ability to apply knowledge and creativity to resolve complex issues. Strong thought leadership and a quick understanding of how data and insights can be transformed into valuable features. Experience with: Data Visualization Tools: AWS QuickSight (experience with Power BI or similar tools is also acceptable). ETL Tools: AWS Glue and AWS Lambda. Databases: SQL programming (experience with PostgreSQL and AWS Redshift). Exceptional project management skills, with the ability to organize and prioritize multiple tasks effectively. Strong interpersonal skills and the ability to collaborate with partners from various business units and levels within the organization. 3-5 years of experience in business intelligence, analytics, or related roles. Minimum 2 Year of hand-on experience on AWS Glue, Lambda, RDS, RedShift, S3 A BS or MS degree in Engineering, Data & Analytics, Information Systems, or a related field (a master's degree is a plus).

Business Intelligence Analyst (Minimum Five years of total experience): We are seeking an experienced and highly skilled Business Intelligence Analyst who is passionate about transforming innovative ideas into effective, data-driven solutions. In this role, you will be responsible for designing and delivering business intelligence solutions, which include ETL (Extract, Transform, Load) processes, data visualization, and data analysis. You will collaborate with cross-functional teams, including IT, Finance, and business stakeholders, to understand their requirements, design scalable and efficient solutions, and ensure the availability of insightful visualizations and reports. Your expertise will play a crucial role in driving data-driven decision-making and empowering the organization with actionable insights. Success in this role will require creativity and the ability to work independently to analyze sales data and create business intelligence dashboards. This position entails complete end-to-end project ownership, which includes conducting discovery meetings with stakeholders, leveraging existing SQL queries, building new SQL queries, creating ETL processes using AWS Glue and Lambda, working with AWS Redshift, developing automation workflows, and utilizing data visualization tools such as AWS QuickSight and Power BI. Key Responsibilities: Visualization and Reporting : Design and develop interactive dashboards, reports, and visualizations that provide actionable insights to business stakeholders using industry-leading tools and technologies. Data Analysis : Analyze data, identify insights, and collaborate with sales leaders to recommend business actions. Solution Design : Work closely with business stakeholders to understand their requirements and translate them into comprehensive and scalable business intelligence solutions. Data Asset Creation : Leverage internal data warehouses and external datasets to build new data assets for analysis and visualization. ETL Development : Design and implement ETL processes to extract, transform, and load data, focusing on automation, accuracy, and reusability. Collaboration and Stakeholder Management : Collaborate with cross-functional teams, including data analysts and sales leaders, to understand requirements, gather feedback, and ensure the successful delivery of solutions. Documentation and Training : Create comprehensive documentation of BI solutions (including ETL processes and visualizations) and provide training and support to users and stakeholders on the effective use of business intelligence dashboards and analytics. We recognize that skills and competencies can manifest in various ways and may stem from diverse life experiences. If you do not meet all the listed requirements, we still encourage you to apply for the position. Qualifications: The ideal candidate will have: Excellent problem-solving and analytical skills, with the ability to apply knowledge and creativity to resolve complex issues. Strong thought leadership and a quick understanding of how data and insights can be transformed into valuable features. Experience with: Data Visualization Tools: AWS QuickSight (experience with Power BI or similar tools is also acceptable). ETL Tools: AWS Glue and AWS Lambda. Databases: SQL programming (experience with PostgreSQL and AWS Redshift). Exceptional project management skills, with the ability to organize and prioritize multiple tasks effectively. Strong interpersonal skills and the ability to collaborate with partners from various business units and levels within the organization. 5-8 years of experience in business intelligence, analytics, or related roles. A BS or MS degree in Engineering, Data & Analytics, Information Systems, or a related field (a master's degree is a plus).

Bachelors in computer science, Information Systems, or a related field Minimum of 10+ years of experience in data architecture with a minimum of 1-3 years of experience in healthcare domain Strong hands-on experience with Cloud databases such as Snowflake, Aurora, Google BigQuery etc. Experience in designing OLAP and OLTP systems for efficient data analysis and processing. Strong handson experience with enterprise BI/Reporting tools like (Looker, AWS QuickSight, PowerBI, Tableau and Cognos). A strong understanding of HIPAA regulations and healthcare data privacy laws is a must-have for this role, as the healthcare domain requires strict adherence to data privacy and security regulations. Experience in data privacy and tokenization tools like Immuta, Privacera, Privitar OpenText and Protegrity. Experience with multiple full life-cycle data warehouse/transformation implementations in the public cloud (AWS, Azure, and GCP) with Deep technical knowledge in one. Proven experience working as an Enterprise Data Architect or a similar role, preferably in large-scale organizations. Proficient in Data modelling (Star Schema (de-normalized data model), Transactional Model (Normalized data model) using tools like Erwin. Experience with ETL/ETL architecture and integration (Matillion, AWS GLUE, Google PLEX, Azure Data Factory etc) Deep understanding of data architectures that utilize Data Fabric, Data Mesh, and Data Products implementation. Business & financial acumen to advise on product planning, conduct research & analysis, and identify the business value of new and emerging technologies. Strong SQL and database skills working with large structured and unstructured data. Experienced in Implementation of data virtualization, and semantic model driven architecture. System development lifecycle (SDLC), Agile Development, DevSecOps, and standard software development tools such as Git and Jira Excellent written and oral communication skills to convey key choices, recommendations, and technology concepts to technical and non-technical audiences. Familiarity with AI/MLOps concepts and Generative AI technology.

Responsibilities: • Design, develop, test, and maintain a custom product focused on business processes and business data. • Design databases aligned with logical data models and optimized for analytics and performance needs. • Integrate data from multiple source systems through APIs and direct data connections. • Implement business rules for data transformation and validation. • Implement custom ETL pipelines for efficient data processing and transformation. • Develop frontend features using modern frameworks for a rich user experience to execute business processes. • Forward integrate transformed data with business analytics tools such as AWS QuickSight and Power BI. • Work closely with business operations stakeholders and analytics teams to define and refine requirements. • Ensure code quality through testing, code reviews, and best practices. Requirements: • Software Engineer with 5 to 8 years of experience in full-stack development with a focus on data engineering. • Proficiency in backend programming languages like Lua and Python (any programming language) for ETL and data transformation. • Experience in setting up ETL pipelines / jobs using schedulers like cronjobs. • Experience with scripting languages like shell scripting. • Experience with frontend technologies: HTML, CSS, JS, Jquery. • Strong SQL skills for querying and processing structured data. • Familiarity with cloud services (AWS, GCP, or Azure) for data storage and computing. • Experience in working with APIs for data integration. • Knowledge of DevOps practices and CI/CD pipelines. • Strong problem-solving skills and ability to work in a fast-paced environment.