88 Quicksight Jobs - Page 3

Ultragenic brings together Life sciences domain expertise, Third party system knowledge and Deep technology to develop well-defined solutions, which address challenges across the Pharmacovigilance function. Our solutions are agile, flexible and scalable, developed using advance technologies such as AI, Machine learning and Robotic process automation that enable us to serve large and small organizations, both in developed and emerging markets. With rich experience in engineering and deploying best-in-class life sciences solutions, our team is well placed to help achieve your goals. Skills Experience of design, development and deployment of multi-dimensional reports using any BI Tool preferably Cognos/OBIEE/Quicksight/Logi/Tableau, Business Intelligence solution. Experience in Oracle PL/SQL and writing efficient SQL queries. Experience of creating excel based and RTF template based OBIEE Reports is a plus. Good experience in database concepts, and any ETL tool is added advantage. Good understanding of DW concepts and Analytical skills. Good experience in Performance tuning to ensure reports function within acceptable parameters. Good to have pharmacovigilance domain exposure. Responsibilities Work with business users to design and develop Custom Reports using any BI Tool preferably Cognos/OBIEE/Quicksight/Logi/Tableau, Business Intelligence solution. Prepare all designs and code for various Custom Reporting objects and ensure compliance with all best business practices in the industry. Understand business requirements, relational databases, and data models. Authoring of installation specifications and execution of unit testing. Be responsible for authoring project documentation/deliverables. Facilitate/contribute to client demo sessions/workshops.

Skill required: Trust & Safety - Workforce Management (WFM) Designation: Workforce Services Senior Analyst Qualifications: Any Graduation Years of Experience: 5-7 Years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Enables a superior brand experience , accelerates responsible growth and creates a secure environmentRole Expectation:oCapacity Planning/Resource ManagementoClient Delivery ManagementoLong Term and Short Term ForecastingoStakeholder/ Vendor EngagementoData Analysis/ManagementoProfitability Management/ Cost ControloTransition CoordinationoCross-functional CoordinationThe Workforce Management team focuses on maximizing performance levels and competency for an organization. This includes activities needed to maintain a productive workforce, such as field service management, human resource management, performance and training management, data collection, recruiting, budgeting, forecasting, scheduling, and analytics. This team owns the client relationship and partner on Capacity Planning/Schedule Adherence, help gather insights and provide feedback on the gaps/opportunities in performance capacity. The team helps identify, evaluate and drive continuous improvement in Service Delivery Performance. This team is also responsible for innovation in the workforce management space providing insights to Accenture and Client leadership on improving efficiencies. They also ensure adherence to revenue and cost targets, own efficiency improvement goals. This team also partners wit regional leads and ensure we are compliant on all internal and client audits. What are we looking for Adaptable and flexibleProblem-solving skillsCommitment to qualityStrong analytical skillsCollaboration and interpersonal skillsoMaintain good relationships with all the stakeholdersoDemonstrate use of good analytical skills, problem solving and good decision makeroAbility to work independently and effectively, prioritize workload by assessing needs and prioritizing tasks. Must be able to work independently with some up-front guidance and supervision, and willingness to be flexible, adapt quicklyoClear and concise written, verbal, and presentation skillsoStrong interpersonal skills; approachable and flexibleoWork towards improvement of reporting to meet strategic Intent and behavioral change at client endoGood communication skills and should be able to work under pressureoMaintaining and creating process related all the documentsoUnderstand different business scenario, automate and create reportsoPreparing and summarizing conclusions for various ad-hoc requests to support management, Operations and Quality Team in answering business questions oAbility to check own work for data analysis or computational errorsoBasic understanding and experience of SQLoExperience in producing high quality dashboards using ExceloAdvanced user of MS Office Suite and good computer skills. Advanced expertise with Excel and Power Point applicationsoExperience in Tableau, Quick Sight, Power BI is an advantage Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Any Graduation

We are seeking a skilled and motivated Lead Data Analyst to oversee the successful implementation and ongoing support of KloudGin's Business Intelligence (BI) solutions for all customers. Leveraging AWS Redshift and Amazon QuickSight, this role will ensure seamless BI integration, data accuracy, ETL optimization, and manage release upgrades, daily operations, and internal reporting needs. Responsibilities: Lead and manage the end-to-end implementation of KloudGin's BI solutions across all customer projects, ensuring timely and high-quality delivery. Oversee and optimize ETL processes to ensure efficient data handling, storage, and retrieval within the BI framework. Manage daily operations, including bug tracking, prioritizing enhancements, and coordinating resolutions with both the technical team and customer contacts. Develop and manage internal reports and dashboards to support decision-making, providing insights into KPIs and operational metrics for key stakeholders. Coordinate with customers to plan and execute BI-related activities for each new release, ensuring minimal disruption and seamless upgrades. Oversee the health and performance of BI systems, working with the infrastructure team to ensure data integrity, speed, and reliability. Work closely with Product Engineering and Customer Success teams to understand requirements, align on priorities, and provide feedback for product improvements. Troubleshoot technical issues and provide solutions to ensure smooth operation of QuickSight dashboards. Identify opportunities to improve data analysis processes and enhance overall data analytics capabilities. Ensure comprehensive documentation and knowledge transfer, providing training and guidance to internal teams and end-users as needed. Requirements: Bachelors or Master’s degree in a Relevant Field such as Data Science, Business Analytics, Information Systems, or Computer Science. 6+ years of progressively increasing professional experience in Data Analytics, with at least 3+ years in a senior-level role. 3+ years’ experience in Amazon QuickSight and SQL. Strong experience in building visualizations, dashboards, and reports using QuickSight. Strong SQL skills for data extraction, transformation, and loading from various data sources. Experience working closely with stakeholders to understand needs and define analytic requirements. Experience with data warehousing concepts and ETL processes. Cloud Computing and AWS Experience. Excellent Communication and Collaboration, Analytical and Problem-Solving Skills.

As a BIE, the resource will: Work with massive-scale data and provide analytic support to Amazon stakeholders using the data. Build dashboards for business reporting, Deep dive bridges to understand the behaviour of the metrics and identify root causes of defects and develop business tools/solutions to help business improve efficiency, productivity and save costs. Utilize deep expertise in business analysis, metrics, reporting, and analytic tooling/languages like SQL, Excel, and others, to translate the data into meaningful insights Act as key point of contact working with program managers working end-to-end from scoping the project, development, testing and deployment. They can utilize the full breadth of tools available at Amazon to build scalable, fully automated solutions. Communicate complex analytical results in a clear and easy-to-understand way and will drive towards simple, scalable solutions to difficult problems while considering edge cases and different trade-off. Basic qualifications 3-4 years of experience working on SQL and ETL to pull data and build reports/dashboards Experience working on Power BI Or MicroStrategy Or Cognos Or Tableau Developers Experience in scripting for automation (e.g. Python) and advanced Excel skills. Experience with data visualization using Tableau, QuickSight, or similar tools Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Good understanding of data and ability to analyse/deep dive data to identify patterns/root cause

Required Skills: Strong verbal and written communication skills in English Strong analytical mindset and problem-solving abilities Ability to monitor and audit data quality and critique content. Experience creating data dashboards, graphs and visualizations Ability to manipulate, analyse and interpret complex datasets relating to focus markets. Ability to handle a variety of ongoing projects and triage incoming tasks 3+ years experience of working with SQL - PLSQL with advanced knowledge 2+ years of experience in Python , data manipulation using Pandas. 3+ Years experience working in a BI or Data Analytics field 3+ years experience of visualising data with at least one of the following BI tools - AWS Quicksight, Power BI, Tableau. In addition, the following experience would be desirable: Knowledge of database management systems, including some data engineering. Knowledge of statistics and statistical analysis. Knowledge of ETL and workflow orchestration using Apache Airflow (DAGs) Knowledge of data modelling tools like DBT. Responsibilities : The job roles and responsibilities are, Present data and dashboards that bring value to the business, always in a format that is appropriate for the intended audience. Utilize strong database skills working with large, complex datasets. Identify patterns and trends in data, working alongside teams within operations, the wider business and the senior management team to provide insight. Filter and cleanse unstructured (or ambiguous) data into usable datasets that can be analysed to extract insights and improve business processes

Date: Jun 5, 2025. Company: Zelestra. Location. Gurugram, India. About Us. Zelestra (formerly Solarpack) is a multinational company fully focused on multi-technology renewables with a vertically integrated business model focused large-scale renewable projects in rapidly growing markets across Europe, North America, Latin America, Asia, and Africa. Headquartered in Spain, Zelestra has more than 1000 employees worldwide and is backed by EQT, one of three largest funds in the world with $200B in assets.. One solution doesn’t fit all, especially in energy. We’re on a journey alongside our clients, assisting them in achieving their decarbonization goals. We are committed to developing tailored-made solutions by analyzing power market challenges and co-creating structured products based on customer insights.. One of the top 10 sellers of clean energy to corporates in the world, according to Bloomberg NEF, we are committed to tailored solutions to meet customer needs.. At Zelestra we aim to be a solid and solvent company, capable of executing quality and valuable projects for the society and the environment. Therefore, we maintain a firm commitment to contribute directly to the social development of the communities and markets in which we operate, not only through the creation of economic value, but also through the generation of quality employment and through the social projects we promote.. In the efforts of supporting business with innovative digital solutions, we want to recruit an experienced and dynamic Engineer.. Mission. We are looking for a motivated Junior Data Scientist to join our dynamic team, working on developing advanced Asset Performance Management solutions for solar plants and wind farms.. The ideal candidate will have hands-on experience in building time-series forecasting models, particularly in the context of renewable energy. You will work closely with our data scientists and engineers to deploy data-driven solutions, focusing on asset performance optimization, cloud tracking using image data, and leveraging large language models (LLM) for innovative solutions. If you’re passionate about data science and sustainability, we’d love to hear from you.. Responsibilities. Model Development & Analysis: Build, test, and deploy time-series models for solar and wind energy forecasting; develop asset performance models to predict equipment health and maintenance; collaborate with senior scientists to enhance model accuracy.. LLM and Image-Based Modelling: Use large language models for asset management solutions; create visualization models from satellite/drone imagery to optimize solar plant performance.. Data Visualization & Reporting: Develop clear visualizations and dashboards (using tools like Amazon QuickSight and PowerBI) to communicate insights and track renewable energy asset metrics.. Data Management & Collaboration: Handle large IoT datasets from renewable assets stored on cloud platforms (AWS S3, Azure Blob); maintain version control with Git/GitHub.. Model Deployment & Monitoring: Work with engineers to deploy models on cloud infrastructure (AWS, Azure); establish monitoring pipelines for ongoing model performance and updates.. Experience. Job Requirements. 0-2 years as a data scientist or related role, preferably with time-series modeling experience.. Practical skills in Python, R, or similar programming languages.. Technical Skills. Proficient in building and deploying time-series forecasting models.. Experienced with data visualization tools such as Power BI, Tableau, or equivalent.. Familiar with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.. Skilled in Git and version control for collaborative projects.. Cloud & Infrastructure. Experience with cloud platforms like AWS and Azure for data storage and processing.. Knowledge of cloud data lakes/data warehouses (AWS S3, Azure Blob Storage).. Collaboration & Communication. Ability to collaborate effectively with cross-functional teams, including engineers and data scientists.. Strong communication skills to translate technical findings into business strategies.. What We Offer. Career opportunities and professional development in a growing multinational company with a team highly qualified.. Flexible compensation.. Full working day.. Remote work 2 days a week.. Zelestra celebrates the diversity of thought and experience that comes from a variety of backgrounds including, among others, gender, age, ethnicity... Our mission is to contribute to a fairer and more equitable society.. JR2212. Show more Show less

Hiring for a FAANG company. Note: This position is part of a program designed to support women professionals returning to the workforce after a career break (9+ months career gap) About the Role: A global analytics team is seeking a Business Intelligence Engineer to drive data-backed insights, design robust reporting frameworks, and influence key business strategies across international markets. This role is ideal for professionals returning to the workforce and looking to re-engage in high-impact analytical work. You will collaborate closely with business stakeholders across geographies (Europe, US, Japan, Asia), working on payments and lending analytics. This is a high-ownership, high-impact role requiring a passion for data, a knack for storytelling through dashboards, and the ability to work independently in a fast-paced environment. Key Responsibilities: Design and maintain dashboards, reports, and metrics to support executive-level business decision-making Ensure data accuracy and integrity across tools, dashboards, and reporting pipelines Use SQL, Excel, and scripting languages (e.g. Python, R, Java) for deep-dive analysis Develop BI tools and data visualizations using platforms like Tableau, AWS QuickSight, Looker, etc. Analyze business trends and apply statistical rigor (t-tests, chi-squared tests, regressions, forecasting) to derive insights Lead alignment and standardization of key metrics across global BI teams Model data and metadata to support robust analytics infrastructure Automate manual reporting efforts to enhance operational efficiency Work with cross-functional teams to recommend data-driven growth strategies Present insights and narratives to stakeholders including global leaders and executives A Day in the Life: Define and refine performance metrics, reports, and insights for international payment systems Drive analytical alignment with global BI leaders and executive stakeholders Lead deep dives into metrics influencing revenue, signups, and operational performance Own VP- and Director-level reporting initiatives and decision-support analysis Collaborate across regions to deliver unified and actionable analytics strategies Basic Qualifications: 2+ years of experience in data analytics using Redshift, Oracle, NoSQL, or similar data sources Strong SQL skills for data retrieval and analysis Proficiency in data visualization using Tableau , QuickSight , Power BI , or similar tools Comfort with scripting languages like Python , Java , or R Experience applying statistical techniques to real-world data problems Preferred Qualifications: Masters degree or other advanced technical degree Experience with data modeling and data pipeline architecture Strong grasp of statistical analysis techniques, including correlation analysis and hypothesis testing Top 10 Must-Have Skills: Advanced SQL Data Visualization (Tableau, QuickSight, Power BI, Looker) Statistical Analysis (t-test, Chi-squared, Regression) Scripting (Python / R / Java) Redshift / Oracle / NoSQL Databases Dashboard & Report Development Data Modeling & Pipeline Design Cross-functional Global Collaboration Business Metrics & KPI Definition Executive-Level Reporting

Position Overview Are you ready to lead and shape the future of cutting-edge products in the Diligent ecosystem? As a Product Manager, you’ll be at the helm of innovation, driving market-leading solutions that empower businesses to excel. You’ll deeply understand our customers’ needs, master the business domain, and align product evolution with corporate strategy—all while delivering exceptional user experiences. In this role, you’ll be a key player in developing relationships with cross-functional teams and internal stakeholders. You will shape the product vision, collaborate on dependencies with other products, and continually gather feedback to refine your roadmap. We are Looking for PM to join us to shape the future of how our customers leverage, AI-powered reporting, visualisations, and data integrations to surface impactful insights across governance, risk, and compliance. What You’ll Do: Shape the Future: Own the entire product lifecycle—from concept to launch—and take pride in delivering game-changing solutions. Customer-Centric Vision: Be the voice of the customer, translating their needs into actionable insights that drive product innovation. Lead Cross-Functional Teams: Collaborate closely with developers, UX designers, and leaders across Customer Success, Sales, and Marketing to bring ideas to life. Create Exceptional Experiences: Deliver seamless, high-quality user experiences across platforms (Mobile, Web, Desktop) for our target personas. Drive Business Impact: Define key success metrics, track performance, and measure outcomes to ensure our products not only meet expectations but exceed them. Stay Ahead of the Curve: Monitor industry trends, perform competitor analysis, and continuously evolve our product roadmap to stay competitive. Prioritise with Precision: Manage a well-organised backlog of user stories, ensuring clarity and alignment with business goals. What We’re Looking For: 2+ years of product management experience in data, integrations, analytics with AI-focussed capabilities Understanding of AI/ML concepts and their application in reporting or business intelligence tools. Familiarity with data platforms, APIs, or reporting tools (e.g., Power BI, Looker, QuickSight, Snowflake). Proven ability to lead cross-functional teams and influence stakeholders at all levels. Solid understanding of writing technical and functional requirements. Excellent communication skills, both written and verbal, with the ability to translate complex ideas into clear and actionable plans. Strong organisational and coordination skills to drive collaboration across multiple teams.

Job Title: Technical Manager (PowerBI) Location : Mangalore Overview: We are looking for a skilled Power BI Developer with 3+ years of experience in building interactive dashboards and analytical solutions. The ideal candidate will have strong technical expertise in Power BI, SQL, and data modelling, along with experience in integrating and transforming data from multiple sources to support business intelligence needs. Key Responsibilities Gather reporting requirements and design effective Power BI dashboards and reports. Develop and maintain robust Power BI data models using DAX and Power Query (M). Connect, import, and transform data from multiple sources (e.g., SQL Server, MySQL). Apply row-level security and follow application-layer security best practices. Ensure high-performance and optimized reporting solutions. Embed Power BI reports into web portals for stakeholder and customer use. Collaborate with cross-functional teams in Agile environments. Utilize Azure for deployment and environment migration of BI content. Present report mockups and collect stakeholder feedback. Stay updated with the latest Power BI features and best practices. Required Qualifications Bachelor's degree in Computer Science, Information Technology, or related field. 3+ years of hands-on experience in Power BI development. Proficiency in SQL (preferably SQL Server and MySQL). Strong command over DAX, Power Query (M), PowerShell, and Excel. Knowledge of data warehousing and business intelligence concepts. Desired Skills Strong analytical and problem-solving capabilities. Excellent communication and stakeholder engagement. Agile (Scaled Agile/SAFe) project experience. Familiarity with Power Apps and Microsoft Power Platform. Ability to manage complex and large data sets. Preferred Experience Demonstrated success in creating dashboards, KPI scorecards, and data visualizations. Experience in performance tuning of Power BI reports and data models. Practical knowledge of deploying solutions on Azure cloud platforms.

Experience with data visualization using Quicksight, or similar tools Experience with one or more industry analytics visualization tools (e.g. Excel, , QuickSight, , PowerBI) and statistical methods (e.g. t-test, Chi-squared) Experience with scripting language e.g., Python , 3+ years of analyzing and interpreting data with Redshift, NoSQL etc. experience

Dear Candidate, We are seeking a Data Visualization Engineer to turn complex data into clear, engaging visual insights that empower business decisions. This role involves working closely with analysts and stakeholders to build interactive dashboards and reports. Key Responsibilities: Design and develop visualizations using tools like Power BI, Tableau, or Looker. Translate data into compelling stories and business insights. Optimize dashboard performance and usability for end users. Collaborate with data engineering and analytics teams. Implement visualization standards and data governance practices. Required Skills & Qualifications: Proficiency in data visualization tools (Power BI, Tableau, D3.js). Strong knowledge of SQL and data modeling. Understanding of UX principles in data presentation. Experience working with large datasets and cloud-based data platforms. Knowledge of scripting languages (Python, R) is a plus. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

Strong experience with Python, SQL, pySpark, AWS Glue. Good to have - Shell Scripting, Kafka Good knowledge of DevOps pipeline usage (Jenkins, Bitbucket, EKS, Lightspeed) Experience of AWS tools (AWS S3, EC2, Athena, Redshift, Glue, EMR, Lambda, RDS, Kinesis, DynamoDB, QuickSight etc.). Orchestration using Airflow Good to have - Streaming technologies and processing engines, Kinesis, Kafka, Pub/Sub and Spark Streaming Good debugging skills Should have strong hands-on design and engineering background in AWS, across a wide range of AWS services with the ability to demonstrate working on large engagements. Strong experience and implementation of Data lakes, Data warehousing, Data Lakehouse architectures. Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures. Monitor data systems performance and implement optimization strategies. Leverage data controls to maintain data privacy, security, compliance, and quality for allocated areas of ownership. Demonstrable knowledge of applying Data Engineering best practices (coding practices to DS, unit testing, version control, code review). Experience in Insurance domain preferred.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. General Summary Preferred Qualifications 3+ years of experience as a Data Engineer or in a similar role Experience with data modeling, data warehousing, and building ETL pipelines Solid working experience with Python, AWS analytical technologies and related resources (Glue, Athena, QuickSight, SageMaker, etc.,) Experience with Big Data tools , platforms and architecture with solid working experience with SQL Experience working in a very large data warehousing environment, Distributed System. Solid understanding on various data exchange formats and complexities Industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets Strong data visualization skills Basic understanding of Machine Learning; Prior experience in ML Engineering a plus Ability to manage on-premises data and make it inter-operate with AWS based pipelines Ability to interface with Wireless Systems/SW engineers and understand the Wireless ML domain; Prior experience in Wireless (5G) domain a plus Education Bachelor's degree in computer science, engineering, mathematics, or a related technical discipline Preferred QualificationsMasters in CS/ECE with a Data Science / ML Specialization Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field OR PhD in Engineering, Information Systems, Computer Science, or related field. 3+ years of experience with Programming Language such as C, C++, Java, Python, etc. Develops, creates, and modifies general computer applications software or specialized utility programs. Analyzes user needs and develops software solutions. Designs software or customizes software for client use with the aim of optimizing operational efficiency. May analyze and design databases within an application area, working individually or coordinating database development as part of a team. Modifies existing software to correct errors, allow it to adapt to new hardware, or to improve its performance. Analyzes user needs and software requirements to determine feasibility of design within time and cost constraints. Confers with systems analysts, engineers, programmers and others to design system and to obtain information on project limitations and capabilities, performance requirements and interfaces. Stores, retrieves, and manipulates data for analysis of system capabilities and requirements. Designs, develops, and modifies software systems, using scientific analysis and mathematical models to predict and measure outcome and consequences of design. Principal Duties and Responsibilities: Completes assigned coding tasks to specifications on time without significant errors or bugs. Adapts to changes and setbacks in order to manage pressure and meet deadlines. Collaborates with others inside project team to accomplish project objectives. Communicates with project lead to provide status and information about impending obstacles. Quickly resolves complex software issues and bugs. Gathers, integrates, and interprets information specific to a module or sub-block of code from a variety of sources in order to troubleshoot issues and find solutions. Seeks others' opinions and shares own opinions with others about ways in which a problem can be addressed differently. Participates in technical conversations with tech leads/managers. Anticipates and communicates issues with project team to maintain open communication. Makes decisions based on incomplete or changing specifications and obtains adequate resources needed to complete assigned tasks. Prioritizes project deadlines and deliverables with minimal supervision. Resolves straightforward technical issues and escalates more complex technical issues to an appropriate party (e.g., project lead, colleagues). Writes readable code for large features or significant bug fixes to support collaboration with other engineers. Determines which work tasks are most important for self and junior engineers, stays focused, and deals with setbacks in a timely manner. Unit tests own code to verify the stability and functionality of a feature.

AWS Quicksight Developer Experience 4 to 5 years Location – Pune Key Responsibilities: Work with business stakeholders to gather, understand, and document data visualization requirements. Design and develop scalable, interactive dashboards and reports using AWS QuickSight with SPICE optimization. Optimize performance and manage SPICE capacity through partitioning, scheduling, and incremental refresh strategies. Integrate QuickSight with AWS data sources (Redshift, Athena, RDS, S3) and other enterprise systems. Create and manage QuickSight assets: datasets, analyses, dashboards, themes, and templates. Implement row-level security (RLS) and manage access permissions and embedding where applicable. Work with AWS CLI or SDK for automation of QuickSight assets. Troubleshoot performance issues, refresh failures, or incorrect visualizations. Provide user training, demo sessions, and documentation for dashboards and KPIs. Required Skills: Strong hands-on experience with AWS QuickSight. Proficient in SPICE dataset creation, optimization, and capacity management. Strong SQL skills to write and optimize queries across multiple databases (Redshift, Athena, RDS, etc.). Experience in creating custom calculated fields, filters, parameters, and controls in QuickSight. Use of custom actions, dynamic parameters, and advanced visualizations (maps, pivot tables, KPI tiles). Experience in embedding dashboards within internal/external portals or web applications. Knowledge of QuickSight APIs/SDK for automation and integration. Implementation of row-level security (RLS) and namespace-based multi-tenancy solutions. Handling incremental refresh and data ingestion strategies. Experience with AWS analytics architecture, including data pipelines, ETL tools (Glue/DBT), and data lakes. Understanding of how QuickSight fits into the broader AWS ecosystem (IAM, S3, Athena, Redshift, Lambda, etc.). Familiarity with data modeling, semantic layers, and performance optimization techniques. Excellent communication skills with ability to interface directly with business users, product managers, and analysts. Experience translating business KPIs into measurable metrics and impactful visualizations. Agile/scrum experience for iterative development and demo cycles.

Job Summary: We are seeking an experienced Amazon QuickSight Developer to design and develop interactive dashboards, business intelligence (BI) reports, and data visualizations. The ideal candidate will have hands-on experience with Amazon QuickSight, a strong background in data analytics, and the ability to work closely with stakeholders to transform business requirements into actionable insights. Key Responsibilities: Design, develop, and maintain BI dashboards, reports, and visualizations using Amazon QuickSight. Integrate QuickSight with AWS data services like Amazon Redshift, Athena, S3, and RDS. Optimize dashboards and visualizations for performance, usability, and scalability. Gather, analyze, and translate business requirements into technical specifications for BI solutions. Implement security settings, row-level security, and user access controls in QuickSight. Collaborate with cross-functional teams including data engineers, data scientists, and business analysts. Interested can send your resume to gowtham.veerasamy@wavicledata.com.

We are currently seeking a Data Visualization Expert - Quick sight to join our team in Chennai, Tamil Ndu (IN-TN), India (IN). What awaits you/ Job Profile Location Bangalore and Chennai, Hybrid mode,Immediate to 10 Days Notice period Develop reports using Amazon Quicksight Data Visualization DevelopmentDesign and develop data visualizations using Amazon Quicksight to present complex data in a clear and understandable format. Create interactive dashboards and reports that allow end-users to explore data and draw meaningful conclusions. Data AnalysisCollaborate with data analysts and business stakeholders to understand data requirements, gather insights, and transform raw data into actionable visualizations. Dashboard User Interface (UI) and User Experience (UX)Ensure that the data visualizations are user-friendly, intuitive, and aesthetically pleasing. Optimize the user experience by incorporating best practices in UI/UX design. Data IntegrationWork closely with data engineers and data architects to ensure seamless integration of data sources into Quicksight, enabling real-time and up-to-date visualizations. Performance OptimizationIdentify and address performance bottlenecks in data queries and visualization rendering to ensure quick and responsive dashboards. Data Security and GovernanceEnsure compliance with data security policies and governance guidelines when handling sensitive data within Quicksight. Training and DocumentationProvide training and support to end-users and stakeholders on how to interact with and interpret visualizations effectively. Create detailed documentation of the visualization development process. Stay Updated with Industry TrendsKeep up to date with the latest data visualization trends, technologies, and best practices to continuously enhance the quality and impact of visualizations. Using the Agile Methodology, attending daily standups and use of the Agile tools Collaborating with cross-functional teams and stakeholders to ensure data security, privacy, and compliance with regulations. using Scrum/Kanban Proficiency in Software Development best practices - Secure coding standards, Unit testing frameworks, Code coverage, Quality gates. Ability to lead and deliver change in a very productive way Lead Technical discussions with customers to find the best possible solutions. W orking closely with the Project Manager, Solution Architect and managing client communication (as and when required) What should you bring along Must Have Person should have relevant work experience in analytics, reporting and business intelligence tools. 4-5 years of hands-on experience in data visualization. Relatively 2-year Experience developing visualization using Amazon Quicksight. Experience working with various data sources and databases. Ability to work with large datasets and design efficient data models for visualization. Nice to Have AI Project implementation and AI methods. Must have technical skill Quick sight , SQL , AWS Good to have Technical skills Tableau, Data Engineer

We are currently seeking a Data Visualization Expert - Quick sight to join our team in Chennai, Tamil Ndu (IN-TN), India (IN). What awaits you/ Job Profile Design and develop data visualizations using Amazon QuickSight to present complex data in clear and understandable Dashboards. Create interactive dashboards and reports that allow end-users to explore data and draw meaningful conclusions. Work on Data preparation and ensure the good quality data is used in Visualization. Collaborate with data analysts and business stakeholders to understand data requirements, gather insights, and transform raw data into actionable visualizations. Ensure that the data visualizations are user-friendly, intuitive, and aesthetically pleasing. Optimize the user experience by incorporating best practices. Identify and address performance bottlenecks in data queries and visualization. Ensure compliance with data security policies and governance guidelines when handling sensitive data within QuickSight. Provide training and support to end-users and stakeholders on how to interact with Dashboards. Self-Managing and explore the latest technical development and incorporate in the project. Experience in analytics, reporting and business intelligence tools. Using the Agile Methodology, attending daily standups and use of the Agile tools. Lead Technical discussions with customers to find the best possible solutions. What should you bring along Must Have Overall experience of 2-5 years in Data visualization development. Minimum of 2 years in QuickSight and 1-2 years in other BI Tools like Tableau, PowerBI, Qlik Good In writing complex SQL Scripting, Dataset Modeling. Hands on in AWS -Athena, RDS, S3, IAM, permissions, Logging and monitoring Services. Experience working with various data sources and databases like Oracle, mySQL, S3, Athena. Ability to work with large datasets and design efficient data models for visualization. Prior experience in working in Agile, Scrum/Kanban working model. Nice to Have Knowledge on Data ingestion and Data pipeline in AWS. Knowledge Amazon Q or AWS LLM Service to enable AI integration Must have skill Quick sight, Tableau, SQL , AWS Good to have skills Qlikview ,Data Engineer, AWS LLM

Role & responsibilities Key Responsibilities: Design, develop, and maintain applications using Java or Python • Work extensively with NoSQL databases like DynamoDB, MongoDB, or Cassandra • Leverage AWS services (EC2, S3, Lambda, RDS, Quicksight, etc.) to build and scale applications • Build robust backend systems with a focus on performance and scalability • Develop RESTful APIs and integrate with third-party services • Optimize database queries and backend services for high throughput • Collaborate with cross-functional teams including frontend, DevOps, and QA • Create technical documentation and maintain coding standards • Provide production support and troubleshooting of deployed services Preferred candidate profile Bachelors degree in computer science, Engineering, or related field • 4–6 years of hands-on development experience with Java or Python • Strong understanding and practical experience with NoSQL databases • Proficiency in AWS Cloud services , including EC2, S3, Lambda, and Quicksight • Experience in building scalable, high-performance APIs • Familiarity with microservices architecture and containerization (Docker/Kubernetes) • Solid knowledge of CI/CD pipelines and tools like Git, Jenkins, or similar • Strong debugging, analytical, and problem-solving skills • Ability to work in Agile development environments Preferred Qualifications: AWS certifications (Developer Associate or similar) • Experience working with AWS Quicksight for data visualization and dashboards • Familiarity with Infrastructure as Code (e.g., CloudFormation or Terraform) • Exposure to full-stack development is a plus • Experience with message brokers like Kafka, SQS, or SNS

Be the digital functional owner of their scope: understand the technical solution, describe it to business stakeholders, and suggest evolutions to meet new business needs - Work closely with stakeholders to understand business objectives, gather requirements, and translate them into comprehensive functional specifications. - Collaborate with software development teams to communicate business requirements, validate technical feasibility, and ensure alignment with project goals - Conduct thorough analysis of end-to-end processes and data flows, identifying areas for improvement and proposing innovative solutions - Document stories, use cases, and process flows to ensure clear communication between business and technical teams - Facilitate workshops, meetings, and training sessions to promote a shared understanding of business analysis methodologies and foster a culture of continuous improvement - Partner with software development leaders to ensure that business requirements are clearly communicated, validated, and integrated into development initiatives - Champion a customer-centric approach to business analysis, seeking to understand and address the needs of end-users and stakeholders - Foster a collaborative and growth-oriented team environment, promoting knowledge sharing and skill development - Troubleshoot and resolve integration issues, ensuring minimal disruption to business operations - Participate in testing and validation activities to ensure solutions meet business requirements and quality standards Internal - Participate in architecture review board meetings and make strategic recommendations for cloud architecture Qualifications - 4+ years experience working in IT product, analyst, functional or architecture roles - Bachelor’s degree in business administration, Information Technology, or related field (technical background required) - Comprehensive knowledge and hands-on experience with MDM environments - Strong analytical and problem-solving skills - Excellent communication and collaboration skills - Ability to manage multiple projects simultaneously and prioritize tasks effectively - Strong understanding of business analysis methodologies, tools, and best practices within a software development context - A desire for continuous learning and stay updated with emerging technologies - Experience in Agile methodologies and leading business analysis efforts in Agile environments - Understanding of service business processes is a plus - Experience with Informatica Cloud and AWS environments is a plus - Certification in Business Analysis (e.g., CBAP) is a plus Skills - Due to the nature of this position sitting on a global team, fluent English communication skills (written & spoken) are required - Technical awareness to understand and validate development proposals against functional requirements - Experience with BI tools such as Power BI, Tableau, Quicksight - Ability to see the consumer perspective and act as their advocate - Strong interpersonal skills, with ability to communicate and convince at various levels of the organization, and in a multicultural environment - Ability to effectively multi-task and manage priorities - Strong analytical and synthesis skills - Initiative to uncover and solve problems proactively - Ability to understand complex software development environments Role & responsibilities Preferred candidate profile

AWS Lambda Glue Kafka/Kinesis RDBMS Oracle, MySQL, RedShift, PostgreSQL, Snowflake Gateway Cloudformation / Terraform Step Functions Cloudwatch Python Pyspark Job role & responsibilities: Looking for a Software Engineer/Senior Software engineer with hands on experience in ETL projects and extensive knowledge in building data processing systems with Python, pyspark and Cloud technologies(AWS). Experience in development in AWS Cloud (S3, Redshift, Aurora, Glue, Lambda, Hive, Kinesis, Spark, Hadoop/EMR) Required Skills: Amazon Kinesis, Amazon Aurora, Data Warehouse, SQL, AWS Lambda, Spark, AWS QuickSight Advanced Python Skills Data Engineering ETL and ELT Skills Experience of Cloud Platforms (AWS or GCP or Azure) Mandatory skills- Datawarehouse, ETL, SQL, Python, AWS Lambda, Glue, AWS Redshift.

AWS Quicksight Developer Key Responsibilities: Work with business stakeholders to gather, understand, and document data visualization requirements. Design and develop scalable, interactive dashboards and reports using AWS QuickSight with SPICE optimization. Optimize performance and manage SPICE capacity through partitioning, scheduling, and incremental refresh strategies. Integrate QuickSight with AWS data sources (Redshift, Athena, RDS, S3) and other enterprise systems. Create and manage QuickSight assets: datasets, analyses, dashboards, themes, and templates. Implement row-level security (RLS) and manage access permissions and embedding where applicable. Work with AWS CLI or SDK for automation of QuickSight assets. Troubleshoot performance issues, refresh failures, or incorrect visualizations. Provide user training, demo sessions, and documentation for dashboards and KPIs. Required Skills: Strong hands-on experience with AWS QuickSight. Proficient in SPICE dataset creation, optimization, and capacity management. Strong SQL skills to write and optimize queries across multiple databases (Redshift, Athena, RDS, etc.). Experience in creating custom calculated fields, filters, parameters, and controls in QuickSight. Use of custom actions, dynamic parameters, and advanced visualizations (maps, pivot tables, KPI tiles). Experience in embedding dashboards within internal/external portals or web applications. Knowledge of QuickSight APIs/SDK for automation and integration. Implementation of row-level security (RLS) and namespace-based multi-tenancy solutions. Handling incremental refresh and data ingestion strategies. Experience with AWS analytics architecture, including data pipelines, ETL tools (Glue/DBT), and data lakes. Understanding of how QuickSight fits into the broader AWS ecosystem (IAM, S3, Athena, Redshift, Lambda, etc.). Familiarity with data modeling, semantic layers, and performance optimization techniques. Excellent communication skills with ability to interface directly with business users, product managers, and analysts. Experience translating business KPIs into measurable metrics and impactful visualizations. Agile/scrum experience for iterative development and demo cycles.

Job Information Job Opening ID ZR_1668_JOB Date Opened 19/12/2022 Industry Technology Job Type Work Experience 5-8 years Job Title Sr. AWS Developer City Chennai Province Tamil Nadu Country India Postal Code 600001 Number of Positions 4 AWS Lambda Glue Kafka/Kinesis RDBMS Oracle, MySQL, RedShift, PostgreSQL, Snowflake Gateway Cloudformation / Terraform Step Functions Cloudwatch Python Pyspark Job role & responsibilities: Looking for a Software Engineer/Senior Software engineer with hands on experience in ETL projects and extensive knowledge in building data processing systems with Python, pyspark and Cloud technologies(AWS). Experience in development in AWS Cloud (S3, Redshift, Aurora, Glue, Lambda, Hive, Kinesis, Spark, Hadoop/EMR) Required Skills: Amazon Kinesis, Amazon Aurora, Data Warehouse, SQL, AWS Lambda, Spark, AWS QuickSight Advanced Python Skills Data Engineering ETL and ELT Skills Experience of Cloud Platforms (AWS or GCP or Azure) Mandatory skills Datawarehouse, ETL, SQL, Python, AWS Lambda, Glue, AWS Redshift. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

About the Role: Addressing support issues related to dashboards raised by CSMs and customers. Training the semantic layer behind the Ask Question feature, enriching it with deeper business context. Developing POCs or custom dashboards requested by customers. Key Responsibilities: Collaborate with stakeholders to gather and understand business requirements for dashboard development. Design, develop, and maintain interactive dashboards using BI tools, preferably QuickSight (other tools like Superset, Tableau, Power BI are also relevant). Query and manipulate datasets to extract meaningful insights and trends. Conduct data analysis to identify opportunities for process improvement and strategic decision-making. Ensure data accuracy and consistency across all dashboards and reports. Work in a fast-paced environment to deliver dashboards on tight deadlines while maintaining high quality standards. Provide training and support to end users on dashboard functionality and best practices. Stay current on industry trends and emerging BI tools and technologies. Qualifications: Proven experience working with BI tools, preferably Amazon QuickSight. Strong SQL and data querying skills; familiarity with data modeling concepts in DBT is a plus. Demonstrated expertise in dashboard development and data visualization. Ability to thrive in a fast-paced environment and manage multiple priorities effectively. Excellent analytical, problem-solving, and critical-thinking abilities. Experience in customer-focused or Fintech SaaS environments is a plus.

Job Title: AWS QuickSight Developer Company: Hiring for a Leading Healthcare Technology Firm Location: Mumbai (Primary), Pune, Chennai Experience: 3 to 10 Years Employment Type: Full-Time, Permanent Notice Period: Immediate to 30 Days Preferred Job Summary: 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. 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 Required Skills & Qualifications: 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 Apply Now! Share your updated resume with nilima@mississippiconsultants.net

Experience : 3+ years of experience in BI engineering or data analysis. Proficiency in AWS services, particularly AWS Insights, Redshift, and QuickSight. Technical Skills : Strong SQL skills for data extraction and manipulation. Experience with data visualization tools (e.g., Tableau, Power BI) is a plus. Experience with programming languages such as NodeJS, Python or R for data analysis is a plus. Analytical Skills : Excellent analytical and problem-solving skills with a keen attention to detail. Communication : Strong verbal and written communication skills to effectively convey complex data insights to non-technical stakeholders.