10 Amazon Quicksight Jobs

Vertelo is an Integrated Fleet Electrification Solution Provider backed by Macquarie and Green Climate Fund. We aim to accelerate the transition of fleets to electric vehicles and build a robust EV ecosystem by offering bespoke solutions to customers including leasing and financing, charging infrastructure and energy solutions, fleet management services, and end of vehicle life management. Vertelo has received anchor investment from the Green Climate Fund which has committed to invest up to $US 200 million. Overall, Vertelo plans to invest $US 1.5 billion over 10 years with the aim to achieve a potential greenhouse gas emissions reduction of 9.5 MtCO2e. Read more on vertelo.in , https://macq.co/6005bjjdJ At Vertelo, we are now building up our IT organization and digital infrastructure to support the business growth plans and manage risk. To strengthen our team, we are seeking a versatile and talented Senior AWS Cloud and Data Engineer with Degree in Computer Science or Information Technology and 4-6 years of hands-on experience in cloud computing and data engineering roles. About the Role : This role will be responsible for managing our AWS environment, maintaining our data lake infrastructure, and supporting our fleet management and analytics platform. The ideal candidate will have a strong background in both AWS cloud services and data engineering, with the ability to bridge the gap between infrastructure management and data solutions. Key Responsibilities : AWS Environment Management: Manage and maintain AWS accounts, including creation of new accounts as needed Monitor and optimize AWS costs using Cost Explorer and other tools Implement and maintain AWS best practices for security, compliance, and performance Troubleshoot and resolve AWS-related issues Data Lake and Pipeline Management: Maintain and optimize data pipelines for ingesting fleet telematics and charging data Ensure data quality, consistency, and availability in the data lake Implement data governance policies and procedures Optimize data storage and retrieval processes Analytics and Visualization Support: Make minor modifications to Amazon QuickSight dashboards as per business requirements Support data analysts in creating new visualizations and reports Troubleshoot issues related to data access and visualization Customer Onboarding and Support: Assist in onboarding new customers to the fleet management solution Configure customer-specific data integrations and dashboards Provide technical support for customer inquiries related to data and analytics Continuous Improvement: Stay updated with the latest AWS services and data engineering best practices Propose and implement improvements to the existing architecture and processes Collaborate with the development team to integrate new features and capabilities Required Skills and Qualifications : Bachelor&aposs degree in Computer Science, Information Technology, or related field 4-5 years of experience in cloud computing and data engineering roles Strong proficiency in AWS services, especially in areas of account management, networking, security, and data services Experience with AWS Landing Zone or similar multi-account AWS architectures Solid understanding of data lake architectures and related AWS services (e.g., S3, Glue, Athena) Proficiency in at least one programming language (preferably Python) for scripting and data manipulation Experience with data pipeline tools and ETL processes Familiarity with data visualization tools, particularly Amazon QuickSight Strong problem-solving skills and ability to work independently Excellent communication skills, both written and verbal Preferred Qualifications: AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified Data Analytics) Experience in the automotive or fleet management industry Knowledge of data modeling and database design principles Experience with CI/CD pipelines and infrastructure as code (e.g., CloudFormation, Terraform) If you are a self-starter with a passion for cloud technologies and data engineering, capable of managing complex systems and adapting to evolving business needs in a dynamic environment, please send your updated CV to [HIDDEN TEXT] Show more Show less

About the Role We are looking for a highly motivated and analytical individual with an engineering background and strong mathematical foundations to join our team as a Data Analyst. The ideal candidate will have experience working with large datasets, deriving insights through root cause analysis (RCA), and enabling data-driven decision-making through predictive analytics and visualization tools. Location: PB Gurgaon Office Experience: 12 years Key Responsibilities ? Analyze large and complex datasets to identify trends, patterns, and root causes behind key business metrics. ? Develop and maintain dashboards and reports using Power BI or QuickSight. ? Perform exploratory data analysis and build predictive models to support business decisions. ? Work closely with cross-functional teams to translate business problems into analytical solutions. ? Drive fast, data-backed decisions using sound judgment and real-time analysis. ? Proactively identify data quality issues and work to resolve them. Required Skills ? Bachelors degree in Engineering (Computer Science, Math, or related fields preferred). ? Strong foundation in Mathematics, Probability, Linear Algebra, and Statistics Hands-on expertise in: SQL (Intermediate to Advanced) Microsoft Excel (Pivot Tables, Advanced Functions) Power BI or Amazon QuickSight (Data modeling, DAX, visual storytelling) Python (Pandas, NumPy, basic ML/EDA libraries) ? Strong analytical thinking and problem-solving attitude. ? Ability to work in fast-paced environments and make decisions quickly with limited information. ? Strong communication skills and a collaborative mindset. Good to Have ? Experience working on revenue maximization problems, pricing, or yield optimization. ? Basic knowledge of ML model building or forecasting techniques. Show more Show less

Job description Key Responsibilities AWS QuickSight PixelPerfect Reporting Design, develop, and deploy Pixel Perfect reports and interactive dashboards using AWS QuickSight. Ensure accurate, visually appealing, and business relevant reporting for stakeholders. Customize and optimize QuickSight reports with advanced features like calculated fields, filters, and visualizations to meet business needs. Data Engineering and Data Integration Develop and maintain scalable data pipelines using Google Cloud BigQuery, DataProc, DataFlow, and DataFusion. Design and implement ETL processes to extract, transform, and load data from various sources into data lakes and warehouses. Integrate data from on premise systems and other cloud platforms (AWS, GCP) into BigQuery and other data storage solutions. BigQuery Develop and manage BigQuery queries and data models to support reporting, analytics, and machine learning workloads. Work with large datasets, ensuring high performance and cost efficiency in data processing and querying. Leverage BigQuery ML and other BigQuery features for advanced analytics and reporting. DataFlow, DataProc, and DataFusion Build and manage cloud native data pipelines using DataFlow and DataProc for stream and batch processing. Design, implement, and maintain data transformations using DataFusion to integrate and manage diverse datasets from different sources. Leverage cloud based tools for automating data workflows and ensuring data consistency across systems. Collaboration with Business Teams Collaborate with business analysts, product owners, and data scientists to understand data requirements and translate them into actionable insights and reports. Provide training and support to business users on using AWS QuickSight for self-service analytics. Data Security and Governance Ensure that all data processing and reporting comply with security and governance policies. Manage permissions, roles, and data access controls in AWS and Google Cloud environments. Implement and maintain data quality checks and monitoring for all data pipelines. GCP Data Services Experience with DataProc, DataFlow, and DataFusion for managing and processing big data in the cloud. Strong knowledge of Google Cloud Platform tools for data engineering and integration. ETL Development Strong background in ETL development using cloudnative technologies like DataFlow, DataProc, and other data integration tools. SQL & Data Modeling Advanced SQL skills for querying and optimizing large datasets in BigQuery and other relational databases. Business Intelligence Hands on experience with creating dashboards, reports, and visualizations in AWS QuickSight or similar BI tools Tableau, Power BI Cloud Infrastructure Familiarity with AWS and GCP cloud environments, data storage, and orchestration services Google Cloud Storage, AWS S3 Data Pipeline Automation Experience automating data pipelines, error handling, and monitoring for end to end data flow. Data Governance Knowledge of data governance principles, data security, and ensuring compliance in cloud based data engineering. Preferred Skills Experience with AWS Glue or Google Cloud Dataflow for ETL processing. Familiarity with Python, Java, or Scala for writing custom data processing logic. Knowledge of Machine Learning concepts and tools BigQuery ML, TensorFlow for integrating analytics into data pipelines. Familiarity with Airflow or similar orchestration tools.

Description Imagine being part of a team where your data analysis skills can impact millions of consumers worldwide. In Fulfillment by Amazon (FBA), you will help third-party businesses (our Selling Partners) leverage the robust data and analytics capabilities that Amazon has built over the last 25 years. FBA enables these sellers to offload the heavy lifting of warehousing, payment processing, delivery, returns, and customer service to Amazon. Today, thousands of Amazon Sellers from more than 130 countries fulfill orders to customers in 185 countries using FBA, generating over 3 billion units served in the EU last year alone. In this role, you will use your expertise in data engineering, business analytics, and problem-solving to provide critical insights that drive the success of the FBA program and our selling partners. Are you passionate about driving operational excellence Interested in learning new technologies Do you thrive in a dynamic, fast-paced environment FBA is seeking a Support Engineer to join our team in supporting business intelligence engineers, investigation specialists, and ML data associates in maintaining and executing tech solutions across the FBA ecosystem. This includes working with inbound operations, inventory management, fulfillment center operations, delivery performance, customer returns, quality control, and reimbursement processes. You will work alongside program and product managers to support existing systems and tools that enhance our fulfillment operations. Your role will focus on ensuring day-to-day technical operations run smoothly and efficiently while developing expertise in specific operational areas. Key job responsibilities Write and Execute SQL queries to analyze data and support operational investigations Create and maintain standard reports using existing templates and dashboards Use Amazon QuickSight to monitor established operational metrics and respond to alerts Support the maintenance of existing automated reporting solutions Conduct basic root cause analysis on operational issues using established frameworks Execute and maintain existing ETL processes Use existing Python scripts to process data and run standard analytical workflows Work with team members to understand and implement business requirements Use established AWS solutions to support operational processes Troubleshoot and resolve common technical issues using existing documentation Contribute to technical documentation and knowledge bases Identify opportunities for process improvements within your assigned area Learn from senior team members and begin developing expertise in specific focus areas Participate in scheduled on-call rotations with team support We are open to hiring candidates to work out of the following location: Hyderabad, TS, IND Basic Qualifications Bachelor's degree in computer science or a related quantitative field 2+ years of hands-on experience in technical support, data engineering, business analytics, or related field 2+ years of experience working with and extracting data from relational databases (SQL) 1+ years of experience troubleshooting and debugging technical systems Basic experience with scripting languages (Python) Familiarity with agile/scrum or similar collaborative workflows ADAPTABLE: You willingly undertake a variety of tasks, switching from complex to routine tasks as needed. You quickly adapt to new technologies and products and work effectively with a variety of personalities and work styles. BIG PICTURE: You solve problems at their root by stepping back to understand the broader context. PROACTIVE: You demonstrate energy and initiative in solving problems, exploring all possible avenues to get the job done. Preferred Qualifications Experience working with cloud services (preferably AWS services for databases, compute, storage, or analytics) Experience working with business intelligence solutions (e.g., Tableau, Power BI, Amazon QuickSight) Knowledge of web services or e-commerce operations Proven documentation skills

Role & responsibilities Develop, design, and maintain Amazon QuickSight dashboards and visualizations. Work with cross-functional teams to gather reporting requirements and translate business needs into technical specifi cations. Perform data extraction, transformation, and analysis using SQL and other tools. Collaborate with data engineers and architects to ensure data quality, governance, and eff icient data pipeline integration. Build and optimize data models and datasets for reporting and self-service analytics. Interpret complex data sets and present insights through eff ective storytelling and visualizations. Monitor dashboard performance and implement improvements for bett er usability and performance. Provide end-user support and training on QuickSight dashboards and reporting tools. Required Skills & Qualifi cations: Preferred candidate profile

End-to-End development experience and ability to create complex calculations including parameters, expressions, actions & filters and implement advanced dashboard practices in QuickSight Leveraging QuickSight for data organization and scheduling Ability to understand data modeling based on user specs Designing custom landing pages in QuickSight for enhanced user experience Ability to work independently, manage engagements or parts of large engagements directly with business partners. Solid understanding of how to consolidate and transform data to meaningful and actionable information Ability to draw out meaningful business insights by synthesizing information from multiple sources Strong oral and written communication skills, including presentation and storytelling with data Demonstrated ability to transform User Stories into smart and elegant analytical apps for decision making Strong problem solving and troubleshooting skills with the ability to exercise mature judgment. A willingness to listen, challenge, communicate, and respect team members ideas and opinions openly. Comfortable with ambiguity and effective in delivering iterative solutions.

Ways of Working - Employees will work from the office in hybrid mode (Bangalore). About Swiggy Swiggy is India's leading on-demand delivery platform with a tech-first approach to logistics and a solution-first approach to consumer demands. With a presence in 500+ cities across India, partnerships with hundreds of thousands of restaurants, an employee base of over 5000, a 2 lakh+ strong independent fleet of Delivery Executives, we deliver unparalleled convenience driven by continuous innovation. Built on the back of robust ML technology and fueled by terabytes of data processed every day, Swiggy offers a fast, seamless and reliable delivery experience for millions of customers across India. From starting out as a hyperlocal food delivery service in 2014, to becoming India's leading on-demand convenience platform today, our capabilities result not only in lightning-fast delivery for customers, but also in a productive and fulfilling experience for our employees. Role Brief: We're looking for a Manager - Finance Analytics to enable data-driven decision-making across the finance function. This role will focus on extracting data from key finance systems, working with large offline datasets, and delivering insights through interactive dashboards and structured reporting. Key Responsibilities: . Data Extraction & Management:Work with systems like Oracle Fusion, Concur, and Zoho Finance to source relevant financial data. Manage offline / legacy datasets to ensure completeness. . Analytics & Dashboarding:Design and maintain financial dashboards, enabling insights across budgeting, cost control, forecasting, and business performance. . Insight Generation:Analyze financial trends, variances, and KPIs to support decision-making across finance and business teams. . Stakeholder Collaboration:Partner with multiple stakeholders to understand reporting needs and deliver high-impact analytics. . Data Consistency & Governance:Ensure clean, reliable data across all reporting layers with a focus on standardization and accuracy. Qualifications: . Experience in analytics. . Strong hands-on experience with SQL, Python, Power Query & Power BI, Qlikview, Alteryx, Amazon QuickSight, MS Excel Macros, MS Access and financial systems. . Comfortable working with large datasets, including offline or legacy sources. . Strong understanding of financial concepts: budgeting, forecasting, cost analysis, profitability metrics. . Excellent communication and stakeholder management skills. Good to have skills: . Familiarity with Oracle Fusion, Concur, or Zoho Finance. . Exposure to high-growth or digital-first business environments. . Experience in automating reporting workflows. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regards to race, color, religion, sex, disability status, or any other characteristic protected by the law.

Responsibilities: Collaborate with business stakeholders to understand data requirements and objectives. Analyse complex data sets to extract valuable insights and trends. Interpret data to identify opportunities for process improvements and business growth. Develop reports, dashboards, and visualisations to communicate findings effectively. Conduct data quality assessments and ensure data integrity across systems. Support data-driven decision-making by providing actionable recommendations. Work with cross-functional teams to implement data solutions that meet business needs. Stay informed on industry trends and best practices in data analysis and business intelligence Qualifications: Bachelor's degree in Business Administration, Statistics, Computer Science, or related field. Proven experience as a Business Analyst or Data Analyst in a corporate setting. Proficiency in data analysis tools (e.g., SQL, Excel, Amazon QuickSight) and database querying. Strong analytical skills with the ability to translate complex data into actionable insights. Excellent communication and presentation skills. Experience with data visualization tools and techniques. Knowledge of business processes and operations. Preferred Skills: Familiarity with ETL processes and data warehousing concepts. Experience with predictive analytics and statistical modelling. Certification in business analysis or related field is a plus. Knowledge of Agile methodologies for project management.

Job Description: We are looking for a BI developer with experience in building interactive dashboards using Amazon Quick sight. The candidate should have strong SQL skills, good understanding of data visualization best practices and ability to work with multiple data sources. Minimum 4-5 years of experience Strong experience with Amazon QuickSight is required. Strong SQL skills are required Experience in PowerBI is required. Work Location: Sohini Tech Park, Hyderabad, Candidate should be comfortable working 5 days Looking for candidates who can start within a week from date of offer (2-3 rounds of interview process including 1 client round)

We are looking for a BI developer with experience in building interactive dashboards using Amazon Quick sight. Should have strong SQL skills, good understanding of data visualization best practices and ability to work with multiple data sources.