52 Quicksight Jobs - Page 2

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 7-10 years in Data visualization development. Minimum of 2 years in QuickSight and 5 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

Overview 1 70+ Years Strong. Industry Leader. Global Impact. At Pinkerton, the mission is to protect our clients. To do this, we provide enterprise risk management services and programs specifically designed for each client. Pinkerton employees are one of our most important assets and critical to the delivery of world-class solutions. Bonded together, we share a commitment to integrity, vigilance, and excellence. Pinkerton is an inclusive employer who seeks candidates with diverse backgrounds, experiences, and perspectives to join our family of industry subject matter experts. The Data Analyst will assist in the reporting, metrics, and information management initiatives for the client’s Security team. The Analyst creates queries, sorts, and assess large volumes of data utilizing SQL, Python, with knowledge of data visualization tools such as Tableau, QuickSight and/or other business intelligence tools. Responsibilities Represent Pinkerton’s core values of integrity, vigilance, and excellence. Support information management initiatives for the client’s Global Security Team. Assess and manipulate large data sets with SQL, Tableau, Python, Excel, and other business intelligence tools. Perform ad-hoc reports and analysis, as directed. Run and modify SQL queries to generate list reports from data sources. Generate data, identify problems within datasets, and resolve data discrepancies. Create dashboards and interactive custom visualizations using business intelligence tools. Assist in the development of processes and data pipelines to improve reporting efficiencies. Collect, archive, and review data from a variety of open and proprietary sources. Ensure the integrity, confidentiality, and security of all datasets. Collaborate with key stakeholders to ingest volumes of data, policy, and program points. All other duties, as assigned. Qualifications Bachelor's degree with five years of experience in data analytics, information systems, MIS or a related field, or an equivalent combination of education and experience sufficient to perform the essential functions of the job, as determined by the company. Experience with SQL, Python, Excel, and Tableau is required. Proficiency in creating ad-hoc queries. Demonstrated problem solving experience providing business insights and recommendations from data sets. Able to adapt as the external environment and organization evolves. Attentive to detail and accuracy. Able to analyze complex situations and recommend solutions. Effective written and verbal communication skills. Serve as an effective team member. Strong client orientation and results-driven. Able to work independently with little supervision. Serve as an effective team player. Able to multi-task and organize workload for effective implementation. Effective independent judgment and decision-making ability. Able to interact effectively at all levels and across diverse cultures. Maintain confidentiality when dealing with sensitive information. Computer skills; Microsoft Office, SharePoint, SQL, Python, and Tableau. Working Conditions: With or without reasonable accommodation, requires the physical and mental capacity to effectively perform all essential functions; Regular computer usage. Occasional reaching and lifting of small objects and operating office equipment. Frequent sitting, standing, and/or walking. Travel, as required. Pinkerton is an equal opportunity employer to all applicants and positions without regard to race/ethnicity, color, national origin, ancestry, sex/gender, gender identity/expression, sexual orientation, marital/prenatal status, pregnancy/childbirth or related conditions, religion, creed, age, disability, genetic information, veteran status, or any protected status by local, state, federal or country-specific law.

About Navi Navi is one of the fastest growing financial services companies in India providing Personal & Home Loans, Insurance and Mutual Funds with a digital first approach. At Navi, our mission is to build financial services that are simple, accessible and affordable. Founders: Sachin Bansal & Ankit Agarwal Know what makes you a Navi_ite : 1.Perseverance, Passion and Commitment Passionate about Navis mission and vision Demonstrates dedication, perseverance and high ownership Goes above and beyond by taking on additional responsibilities 2.Obsession with high quality results Consistently creates value for the customers and stakeholders through high quality outcomes Ensuring excellence in all aspects of work Efficiently manages time, prioritizes tasks, and achieves higher standards 3.Resilience and Adaptability Adapts quickly to new roles, responsibilities, and changing circumstances, showing resilience and agility General Responsibilities : Data Collection and Validation: Collaborate with stakeholders to understand their data requirements and gather relevant information from various sources. Validate the accuracy and completeness of the data collected Report Generation: Develop and maintain standardized and ad-hoc reports to assist stakeholders in understanding key findings, risks, and opportunities Data Analysis: Utilize data analysis techniques to uncover insights, identify anomalies, and recognize patterns within the data to identify fraud Process Improvement: Continuously identify opportunities to streamline data gathering processes and improve efficiency Cross-functional Collaboration: Work closely with teams, such as finance, compliance, and engineering, to access relevant data availability and ensure consistency in reporting Compliance and Governance: Ensure adherence to data privacy regulations and internal data governance policies when handling sensitive information and generating regular reports Training and Support: Provide training and support to non-technical stakeholders on data gathering techniques and data analysis tools(Tableau,Metabase etc.) Specific Responsibilities : Hands-on experience on SQL, any BI platform (Tableau, PowerBI, Qlikview, Looker, Quicksight etc) Conceptual understanding of basic statistical concepts (Sampling, Distributions, Central tendency, Hypothesis testing etc) Basic understanding of data platforms and ETL processes Ability to identify relevant data to solve business problems and (in)validate hypothesis (Good to have) Prior data modeling experience in R/Python and some classification and/or regression techniques (Good to have) Prior experience with marketing platform such as moengage, clevertap, appsflyer would be a plus (Good to have) Prior experience / understanding of lending/insurance/banking domain would be a plus

As a Business Analyst in Buyer Risk Prevention, you will be responsible for analyzing terabytes of data to identify specific instances of risk, broader risk trends and points of customer friction, developing scalable solutions for prevention. You will need to collaborate effectively with business and product leaders within BRP and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. You should be able to apply a breadth of tools, data sources, and analytical techniques to answer a wide range of high-impact business questions and proactively present new insights in concise and effective manner. In addition you will be responsible for building a robust set of operational and business metrics and will utilize metrics to determine improvement opportunities. You should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business. Responsibilities : Understand the various operations across Payment Risk Design and develop highly available dashboards and metrics using SQL and Excel/Tableau Perform business analysis and data queries using scripting languages like R, Python etc Understand the requirements of stakeholders and map them with the data sources/data warehouse Own the delivery and backup of periodic metrics, dashboards to the leadership team Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies Execute high priority (i.e. cross functional, high impact) projects to create robust, scalable analytics solutions and frameworks with the help of Analytics/BIE managers Perform business analysis and data queries using appropriate tools Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area Execute analytical projects and understanding of analytical methods (like ANOVA, Distribution theory, regression, forecasting, Machine Learning Techniques, etc.) Draw inferences and insights from the data using EDA and data manipulations using advanced SQL for business reviews Key job responsibilities Understand the various operations across Payment Risk Design and develop highly available dashboards and metrics using SQL and Excel/Tableau/QuickSight Understand the requirements of stakeholders and map them with the data sources/data warehouse Own the delivery and backup of periodic metrics, dashboards to the leadership team Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies Execute high priority (i.e. cross functional, high impact) projects to improve operations performance with the help of Analytics managers Perform business analysis and data queries using appropriate tools Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area Execute analytical projects and understanding of analytical methods (like ANOVA, Distribution theory, regression, forecasting, Machine Learning Techniques, etc.) BASIC QUALIFICATIONS Bachelor's degree in finance, accounting, business, economics, engineering , analytics, mathematics, statistics or a related technical or quantitative field 3+ years of business analyst, data analyst or similar role experience 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience Experience defining requirements and using data and metrics to draw business insights Experience with Excel Experience with SQL Experience making business recommendations and influencing stakeholders Experience with data visualization using Tableau, Quicksight, or similar tools Experience creating complex SQL queries joining multiple datasets, ETL DW concepts Experience demonstrating problem solving and root cause analysis Experience using databases with a large-scale data set Detail-oriented and must have an aptitude for solving unstructured problems. The role will require the ability to extract data from various sources and to design/construct/execute complex analyses to finally come up with data/reports that help solve the business problem PREFERRED QUALIFICATIONS Experience in Amazon Redshift and other AWS technologies Experience scripting for automation (e.g., Python, Perl, Ruby) Experience using Python or R for data analysis or statistical tools such as SAS Experience in e-commerce / on-line companies in fraud / risk control functions Analytical mindset and ability to see the big picture and influence others Good oral, written and presentation skills combined with the ability to be part of group discussions and explaining complex solutions Ability to apply analytical, computer, statistical and quantitative problem solving skills is required Ability to work effectively in a multi-task, high volume environment Ability to be adaptable and flexible in responding to deadlines and workflow fluctuations

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them. Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself. The Lead Business Analyst is responsible for working with cross functional teams to analyze and translate business needs into innovative solutions to enhance customer experience and solve complex business data problems. This role is accountable for understanding the business complex problems, assigned deliverables and priority, defining stories and test acceptance criteria, client communication and documentation. The Lead BA brings business and technology together by understanding the needs of both and turning them into actionable solutions and designs. RESPONSIBILITIES Lead and facilitate cross functional teams to analyze and transform business requirements into technical and functional requirements. Collaborate with the product owner, business analysts, developers, and architects to help ensure system functionality aligns with business requirements and compliance standards. Helps the Scrum Master determine project task estimates, deadlines and deliverables, simultaneously working on multiple projects. Have project management experience handling multiple projects at the same time. Have experience using Gen AI tools (GitHub Copilot, ChatGpt, etc) to improve productivity. Interact with stakeholders for planning and prioritization. Maintains documentation, project tracking, and key stakeholder reporting metrics. Acts as the daily liaison between business stakeholders and systems development teams by troubleshooting and answering questions as needed and follows up on outstanding issues that block development. Understand and break down large components of work into smaller, actionable units for development teams. Document and maintain business requirements in a clear and concise manner. Review requirements, groom user stories, write test plans, create user-interface mockups and execute test cases, run the test applications and verify and document results. Assist with ensuring that requirements are understood by the development team and perform gap or functional analysis when needed. Verify technical design specifications to meet user requirements. Assist with creating user scenarios for development and user acceptance testing. Over time, develop deep domain knowledge on key applications. Responsible for requirements management throughout project lifecycle. QUALIFICATIONS: 7+ years prior project management experience in a business or functional analyst role, utilizing business analysis skills on technical projects and/or systems reporting. Strong Agile software development experience, familiar with Scrum and Kanban, using tools such as JIRA, Confluence, SharePoint. Scrum master or PMP certification preferred. Experience in analyzing, describing, and evaluating complex use cases, ability to reading Software Requirement Specifications. Experience working with analytics and reporting tools (Tableau/BO/QuickSight Preferred). Experience with cloud services specifically AWS (Amazon Web Services) with SQL experience. Must be able to communicate effectively with both technical and non-technical project team members. Ability to effectively present information to internal and external business users. Knowledge of software development and IT Tools and Services. Experience with on-prem and cloud databases (Postgres and Oracle). Experience in developing user acceptance tests and quality assurance tests. Understanding of systems integration and testing. EDUCATION: Bachelor’s degree in business, Finance, Computer Information Systems or equivalent experience. We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age, race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.

AWS Data Engineer 8-11 years AWS Data Engineer, Python Python, S3, RDS, Glue, Lambda, IAM, SNS, SQL , Quicksight

Role & Responsibilities. About the Role:. Data Analytics Engineer is an Individual Contributor role who provides actionable insights to multiple stakeholders ( both internal and external ) & will be part of the centralized data team in Freight Tiger and owns both the compute & publish layer for all the products of FT. Key Responsibilities -. Data Analysis and Insights:. Analyze complex datasets to extract meaningful insights and identify trends, patterns, and opportunities. Collaborate with business stakeholders to define and refine data requirements. Provide actionable recommendations to support decision-making processes. Reporting & Visualization. Design, develop, and maintain interactive and insightful dashboards and reports in Power BI. Leverage Power BI features like DAX, Power Query, and advanced charting to create visually compelling and user-friendly reports. Ensure reports and dashboards are optimized for performance and scalability. Manage reporting layer (PowerBI), dashboards deployment and version control. Stakeholder Collaboration. Partner with cross-functional teams to gather and document reporting requirements. Communicate findings and insights effectively to both technical and non-technical audiences. Act as a liaison between business users and technical teams to ensure alignment. Data Governance And Quality. Maintain data accuracy, consistency, and integrity in all reporting solutions. Advocate for best practices in data visualization, analytics, and governance. Ensure compliance with organizational and regulatory data policies. Leadership And Mentoring. Lead and mentor junior analysts to develop their skills in data analytics and visualization. Promote a culture of data-driven decision-making across the organization. Tool And Technology Expertise. Stay updated with the latest advancements in Power BI and other analytics tools. Evaluate and implement new BI tools and methodologies to enhance reporting capabilities. Ideal Candidate. Must Have Skills-. Technical Expertise:. 5"“8 years of experience in data analytics and business intelligence. Proficiency in Power BI, Copilot, Summarize and custom visuals. Strong SQL skills for data extraction and manipulation. Experience with data modeling and ETL processes. Analytical Skills. Ability to interpret data and translate it into actionable insights. Expertise in analyzing business problems and developing data-driven solutions. Communication Skills. Excellent verbal and written communication skills. Ability to present complex data in a clear and concise manner. Preferred Qualifications. Experience with other BI tools like Metabase, Quicksight, Apache Superset and Tableau. Knowledge of data warehousing concepts and tools (e.g., Snowflake, Azure Data Factory). Exposure to Python or R for advanced analytics. Experience working any of the public cloud platforms like Azure, AWS, GCP. Familiarity with data governance frameworks and tools. Industry experience in domains like logistics, supply chain, finance, healthcare, or e-commerce. Good to have experience working with or understanding of machine learning models and GenAI

We are seeking a skilled Business Intelligence (BI) reporting analyst with expertise in AWS QuickSight to join our team. The ideal candidate will be responsible for designing, developing, and maintaining reporting solutions that provide actionable insights to drive business decisions. You will collaborate with various stakeholders to ensure data accuracy and relevance while leveraging AWS services to optimize reporting processes. Key Responsibilities Report Development : Design and implement interactive dashboards and reports using AWS Insights and other BI tools. Data Analysis : Analyze complex datasets to derive meaningful insights and trends that support business objectives. Collaboration : Work closely with cross-functional teams, including data engineers, QA, business stakeholders, and product, to gather requirements and deliver data solutions that meet business needs. Data Quality Assurance : Ensure data integrity and accuracy through rigorous testing and validation processes. Documentation : Maintain clear documentation of data sources, reporting processes, and methodologies to facilitate knowledge sharing within the team. Performance Optimization : Monitor and optimize report performance, ensuring timely delivery of insights. ETL Processes : Develop and maintain ETL (Extract, Transform, Load) processes to ensure data is accurately collected, transformed, and loaded into reporting environments. Continuous Improvement : Stay updated on industry trends and best practices in BI and AWS services, recommending enhancements to existing processes and tools. Qualifications Education :Bachelors degree in Computer Science, Information Technology, Data Science, or a related field. 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.

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

Job Title: Analyst - Global Reporting Department: Analytics Reporting To: Manager - Analytics Job Location: Pune (Work from Office) Interview Mode: Walk-in Interviews at Bangalore Company Overview We are a global marketing services company catering to top-tier clients like Johnson & Johnson, Coke, Cathay Pacific, GoPro, FitBit, and Sony. Our centralized digital operations unit in India supports campaign implementation and reporting for global clients. We seek a dynamic Analyst - Global Reporting to enhance our data analytics capabilities, automate reporting, and build interactive dashboards. Job Summary As an Analyst - Global Reporting , you will play a crucial role in transforming raw data into actionable insights. Your expertise in data visualization, ETL processes, SQL queries, and Excel-based reporting will be leveraged to develop interactive dashboards and reports. You will collaborate with global stakeholders, troubleshoot data anomalies, and implement process automation. Key Responsibilities Data Analysis & Reporting: Design, develop, and maintain automated dashboards and reports using Tableau, Datorama, Power BI, or QuickSight . Aggregate and analyze data from multiple sources to generate key business insights. Retrieve and manipulate data using SQL queries and join multiple datasets. ETL & Data Processing: Support ETL processes using MSSQL, Alteryx, and other data processing tools . Manage data extraction, transformation, and loading processes efficiently. Stakeholder Collaboration & Reporting Optimization: Work closely with global business teams to understand reporting needs and develop customized reports . Ensure reports are formatted correctly and meet delivery deadlines. Investigate data discrepancies and provide actionable resolutions. Dashboard Maintenance & Data Visualization: Update and maintain Tableau, Excel, or similar dashboards for daily/weekly reporting. Identify and integrate new data sources to improve visualization effectiveness. Assist in taxonomy classification, data cleansing, and reformatting of reports. Required Qualifications & Skills Experience: Minimum 2+ years in Data Analytics, Reporting, and Visualization . Technical Skills: SQL Strong experience in writing complex queries and handling large datasets . Data Visualization Hands-on experience with Tableau, Power BI, QuickSight, or Datorama . Excel VBA & Advanced Excel Experience in automating reports and handling complex formulas. ETL Tools – Familiarity with MSSQL, Alteryx, or similar platforms . Soft Skills: Strong verbal and written communication skills. Ability to interpret data and present insights effectively . Comfortable working in a fast-paced, dynamic environment .

Summary: Analyze, Organize data and Build data systems with multiple data sources Working closely with business and market team for the Data analysis. Build data systems and pipelines Evaluate business needs and objectives Implementing data pipeline to ingest and cleanse raw data from various source systems including SaaS, Cloud based and On-prep databases Combine raw information from different sources Explore ways to enhance data quality and reliability Implementing functional requirements including incremental loads, data snapshots and identity resolution Optimizing data pipelines to improve performance and cost, while ensuring a high quality of data within the data lake: Monitoring services and jobs for cost and performance, ensuring continual operations of data pipelines, and fixing of defects. Must have coding skills in Spark/Pyspark, Python and SQL Must have Knowledge of AWS tools, Glue, Athena and S3 Must have knowledge on JIRA Good knowledge of CI/CD (Github / Github Actions, Terraform)

Job Summary: We are seeking a detail-oriented and analytical Senior IT Engineer - Data Scientist to join our team. In this role, you will leverage data-driven insights to support decision-making, optimize business processes, and enhance operational efficiency. You will be responsible for collecting, analyzing, and interpreting large datasets, building predictive models, and presenting findings to stakeholders. Roles and Responsibilities Key Responsibilities: - Collect, clean, and preprocess data from multiple sources to ensure accuracy and reliability. - Conduct exploratory data analysis (EDA) to identify trends, patterns, and insights. - Develop and implement predictive models and machine learning algorithms to solve business problems. - Utilize statistical methods and data visualization tools to communicate findings effectively. - Collaborate with cross-functional teams, including business, engineering, and product teams, to drive data-driven decision-making. - Build and maintain dashboards and reports to monitor key performance indicators (KPIs). - Perform A/B testing and other experimental analysis to optimize strategies. - Stay up to date with industry trends, emerging technologies, and best practices in data science. Required Qualifications & Skills: - Bachelor’s or master’s degree in data science, Statistics, Computer Science, Mathematics, or a related field. - Proficiency in programming languages such as Python, R, or SQL. - Experience with AWS SageMaker, Jupyter Notebooks - Experience with data visualization tools like AWS QuickSight, Tableau, Power BI, or Matplotlib. - Strong understanding of statistical analysis, hypothesis testing, and machine learning techniques. - Familiarity with big data technologies and cloud platforms (e.g., AWS, Google Cloud, Azure) is a plus. - Ability to translate complex data into actionable business insights. - Strong problem-solving skills and attention to detail. - Excellent communication and presentation skills. Preferred Qualifications: - 7+ years of experience - Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch) is beneficial. - Exposure to data engineering concepts, including ETL processes and database management.

About the Role: We are seeking a skilled QuickSight Developer to design and implement advanced business intelligence (BI) solutions using Amazon QuickSight. The ideal candidate will have a strong background in data visualization, data modeling, and analytics, with the ability to translate complex data into actionable insights. Key Responsibilities Develop, design, and maintain interactive dashboards and reports using Amazon QuickSight. Collaborate with stakeholders to gather requirements and translate them into actionable BI solutions. Optimize and enhance existing QuickSight dashboards for performance and usability. Connect and integrate QuickSight with various data sources such as Redshift, S3, RDS, and other AWS services. Build robust data models to support analytical requirements. Ensure data quality, consistency, and accuracy in all reporting and visualization efforts. Provide training and support to end-users for effective use of QuickSight dashboards and reports. Stay updated on QuickSight features and industry best practices to implement innovative BI solutions. Qualifications Bachelors degree in Computer Science, Information Technology, or a related field. Proven experience in designing and developing dashboards using Amazon QuickSight . Strong understanding of data visualization principles and best practices. Hands-on experience with AWS services, especially Redshift, S3, RDS, and Athena. Proficiency in SQL for data extraction and transformation. Experience with ETL processes and data modeling techniques. Familiarity with scripting languages like Python or tools like AWS Glue is a plus. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Preferred Skills Experience in BI tools like Tableau, Power BI, or Looker. Knowledge of data governance and security best practices in AWS. Ability to handle large datasets and optimize queries for performance. Certifications in AWS or data analytics are an added advantage. What We Offer Opportunity to work on cutting-edge BI solutions. Competitive salary and benefits package. A collaborative and innovative work environment. Professional development and training opportunities.

As a Data Engineer, you will be responsible for designing, implementing, and maintaining scalable data pipelines and infrastructure for the collection, storage, and analysis of large volumes of data. You will collaborate with cross-functional teams to understand data requirements, develop data models, and ensure data quality and integrity. Your role will also involve optimizing and tuning data systems for performance and reliability. Requirements : Bachelors degree in computer science, Engineering, or a related field. Proven experience as a Data Engineer or similar role, with a strong background in data processing, storage, and analysis. Proficient in SQL and other languages such as SQL, Python, for building data pipelines. Experience with big data technologies such as Spark, Kafka, and NoSQL databases. Familiarity with cloud platforms (e.g., AWS, Azure) and their data services. Knowledge of data modeling techniques and database design principles. Experience with optimization of SQL queries/ETL pipelines. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills to work effectively in a cross-functional team environment. Ability to prioritize and manage multiple tasks in a fast-paced environment. Certification in relevant technologies (e.g., AWS Certified Big Data - Specialty) is a plus. Technical Skillset: Must have 4-6 years of ETL Data Engineer Minimum 2 years in AWS Cloud Data Engineer Role Must have Datawarehouse data modelling knowledge and experience. Programming Skills in Python & Pyspark Skilled in AWS Glue, AWS Lake Formation, AWS Redshift, AWS Athena, AWS Glue Crawlers & AWS Glue Data Catalog, AWS SNS & AWS Step Functions Stream pipeline implementation is value added. Must have 2+ years’ experience in BI tools (AWS Quick sight/Qlik Sense/Tableau/Power BI..) AWS Quick sight experience is valuable.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: We are looking for a talented, motivated leader with experience in building Scalable Cloud Services, Infrastructure, and processes. As part of the IoT (Internet of Things) team you will be working on the next generation of IoT products. As a Business Intelligence Engineer (BIE) In This Role The ideal candidate will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will have deep expertise in gathering requirements and insights, mining large and diverse data sets, data visualization, writing complex SQL queries, building rapid prototype using Python/ R and generating insights that enable senior leaders to make critical business decisions.Key job responsibilities You will utilize your deep expertise in business analysis, metrics, reporting, and analytic tools/languages like SQL, Excel, and others, to translate data into meaningful insights through collaboration with scientists, software engineers, data engineers and business analysts. You will have end-to-end ownership of operational, financial, and technical aspects of the insights you are building for the business, and will play an integral role in strategic decision-making. Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership Produce recommendations and insights that will help shape effective metric development and reporting for key stakeholders Simplify and automate reporting, audits and other data-driven activities Partner with Engineering teams to enhance data infrastructure, data availability, and broad access to customer insights To develop and drive best practices in reporting and analysis:data integrity, test design, analysis, validation, and documentation Learn new technology and techniques to meaningfully support product and process innovation BASIC QUALIFICATIONS At least 1+ years of experience using SQL to query data from databases/data warehouses/cloud data sources/etc. (e.g., Redshift, MySQL, PostgreSQL, MS SQL Server, BigQuery, etc.). Experience with data visualization using Tableau, Power BI, Quicksight, or similar tools. Bachelors degree in Statistics, Economics, Math, Finance, Engineering, Computer Science, Information Systems, or a related quantitative field. Ability to operate successfully and independently in a fast-paced environment. Comfort with ambiguity and eagerness to learn new skills. Knowledge of Cloud Services AWS, GCP and/or Azure is a must PREFERRED QUALIFICATIONS Experience with AWS solutions such as EC2, Athena, Glue, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Experience with creating and building predictive/optimization tools that benefit the business and improve customer experience Experience articulating business questions and using quantitative techniques to drive insights for business. Experience in dealing with technical and non-technical senior level managers. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Applicants :Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies :Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

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. 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. Preferred Qualifications 3+ years of experience as a ML Engineer or in a similar role Experience with data modeling, data warehousing, and building ETL pipelines Solid LLM experience 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 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 Understanding of Machine Learning; Prior experience in ML Engineering a must 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 Qualifications:Masters in CS/ECE with a Data Science / ML Specialization Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ 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. Applicants :Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies :Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

As a Business Analyst in Buyer Risk Prevention, you will be responsible for analyzing terabytes of data to identify specific instances of risk, broader risk trends and points of customer friction, developing scalable solutions for prevention. You will need to collaborate effectively with business and product leaders within BRP and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. You should be able to apply a breadth of tools, data sources, and analytical techniques to answer a wide range of high-impact business questions and proactively present new insights in concise and effective manner. In addition you will be responsible for building a robust set of operational and business metrics and will utilize metrics to determine improvement opportunities. You should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business. Responsibilities : - Understand the various operations across Payment Risk - Design and develop highly available dashboards and metrics using SQL and Excel/Tableau - Perform business analysis and data queries using scripting languages like R, Python etc - Understand the requirements of stakeholders and map them with the data sources/data warehouse - Own the delivery and backup of periodic metrics, dashboards to the leadership team - Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies - Execute high priority (i.e. cross functional, high impact) projects to create robust, scalable analytics solutions and frameworks with the help of Analytics/BIE managers - Perform business analysis and data queries using appropriate tools - Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area - Execute analytical projects and understanding of analytical methods (like ANOVA, Distribution theory, regression, forecasting, Machine Learning Techniques, etc.) - Draw inferences and insights from the data using EDA and data manipulations using advanced SQL for business reviews Key job responsibilities • Understand the various operations across Payment Risk Design and develop highly available dashboards and metrics using SQL and Excel/Tableau/QuickSight Understand the requirements of stakeholders and map them with the data sources/data warehouse Own the delivery and backup of periodic metrics, dashboards to the leadership team Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies Execute high priority (i.e. cross functional, high impact) projects to improve operations performance with the help of Analytics managers Perform business analysis and data queries using appropriate tools Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area Execute analytical projects and understanding of analytical methods (like ANOVA, Distribution theory, regression, forecasting, Machine Learning Techniques, etc.) BASIC QUALIFICATIONS - Bachelor's degree in business, engineering, statistics, computer science, mathematics or related field - 1+ years of tax, finance or a related analytical field experience - Experience creating complex SQL queries joining multiple datasets, ETL DW concepts - Experience defining requirements and using data and metrics to draw business insights - Experience demonstrating problem solving and root cause analysis - Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages - Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc. - Experience using databases with a large-scale data set - 1+ year of experience working in Analytics / Business Intelligence environment with prior experience of design and execution of analytical projects PREFERRED QUALIFICATIONS - Experience in Amazon Redshift and other AWS technologies - Experience scripting for automation (e.g., Python, Perl, Ruby) - Experience using Python or R for data analysis or statistical tools such as SAS - Experience in e-commerce / on-line companies in fraud / risk control functions - Analytical mindset and ability to see the big picture and influence others - Detail-oriented and must have an aptitude for solving unstructured problems. The role will require the ability to extract data from various sources and to design/construct/execute complex analyses to finally come up with data/reports that help solve the business problem - Good oral, written and presentation skills combined with the ability to be part of group discussions and explaining complex solutions - Ability to apply analytical, computer, statistical and quantitative problem solving skills is required - Ability to work effectively in a multi-task, high volume environment - Ability to be adaptable and flexible in responding to deadlines and workflow fluctuations

Responsibilities: Define an Enterprise BI vision that furthers our analytics maturity journey and inspires the teams. Implement a strategic BI capability roadmap that informs the next few years' investments in BI technologies, tools, and talent. Recruit, develop, and lead a global BI team. Define and implement actionable career development paths for different BI roles at various seniority levels. Cultivate a work culture that inspires curiosity, innovation, and continuous learning in talent. Motivate teams to challenge the status quo and set high standards for work quality while balancing speed to market. Develop strong relationships with IT and business teams, becoming the trusted advisor for all topics related to BI. Be seen as the BI subject-matter-expert (SME) for the company. Stay abreast of industry trends and proactively identify emerging BI technologies and tools to drive higher levels of self-service analytics and to launch better and faster BI products. Build a strong community of BI followers and devise an engaging platform for employees to connect, learn, and knowledge-share on BI topics. Education: Bachelors degree in Computer Science, Information Systems, Business Administration, Statistics, or a related field. 10+ years of experience in BI platforms, technologies, tools, and building BI solutions. 5+ years of leading teams and developing analytics (data and visualization) talent with experience in managing resources in a global setting. Experience in developing and implementing Enterprise BI capability roadmaps with tools, processes, and people considerations. Strong working experience and understanding in BI tools and technologies such as Tableau, Power BI, SAP BusinessObjects, and newer AI-powered BI tools like MS Copilot + Power BI, Amazon Q + Quicksight, Thoughtspot, Qlik, Salesforce Einstein, etc. Strong experience in analyzing large amounts of data and delivering actionable insights to drive business outcomes. Exceptional ability to communicate data-driven insights into clear and compelling storytelling. Strong communication and presentation skills with an innate ability to succinctly communicate with executives and working-level technical and business teams. Experience working in a fast-paced and highly matrixed organization with skills to influence up and down effectively.

Within the Selection Monitoring team, a Business analyst is expected to own analytics on large volumes of data, synthesize the analysis into business insights, communicate the findings to stakeholders and and deliver business value. Business analyst will be expected to be skilled in understanding customer needs, converting them to analysis requirements, having working knowledge of data availability in various sources, building customer confidence through effective communication and derive recommendations. Business analyst would also be responsible for the project plan, cost and efficiency analytics platform resources, scaling of data processes and reports, and project timeline and deliverables. Key job responsibilities - Solve ambiguous problems with less well-defined inputs and outputs; drive to the heart of the problem and identify root causes - Identify, develop and execute data analysis to uncover areas of business opportunities - Learn and understand the broad range of Amazons data resources and develop knowledge of how, when and which data sources to use - Deep dive into massive data sets to answer key business questions using SQL, MS Excel and other data manipulation languages - Build new reports/dashboards to enable emerging business use cases - Partner with Data Engineering team to deploy new data technology - Present written recommendations and insights to key stakeholders that will help shape effective selection expansion strategies worldwide - Manage and execute entire projects or components of large projects from start to finish including project management, data gathering and manipulation, modeling and problem solving About the team Amazons Selection Monitoring team started operations in March 2009 and has grown steadily in scope ever since. Amazon Selection and Catalog Systems group at Amazon Chennai Center focuses on making direct impact on Selection for Amazons Retail & 3rd party marketplace business across markets worldwide. The Selection Monitoring team within this group owns end to end processes for discovering, prioritizing and adding new selection available to customers across different markets worldwide. This drives one of Amazon’s core focus areas: providing the widest selection to customers. We operate in a fast paced, rapidly growing environment offering new challenges and opportunities for making impactful changes in the Amazon ecosystem. BASIC QUALIFICATIONS - 4+ years of tax, finance or a related analytical field experience - 4+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience - Bachelor's degree in finance, accounting, business, economics, engineering , analytics, mathematics, statistics or a related technical or quantitative field - Experience defining requirements and using data and metrics to draw business insights - Experience making business recommendations and influencing stakeholders - Experience with Excel - 3+ years of experience in hands-on analytics: building data pipelines using SQL, reports in Excel, dashboards in tools like QuickSight - Ability to work effectively & independently in a fast-paced environment with tight deadlines - Ability to engage with cross-functional teams for implementation of project/program requirements PREFERRED QUALIFICATIONS - Experience partnering with executive-level leaders to identifying and solving business issues.

Dear Candidate Greetings of the day!! My name is Amutha Valli, and I'm reaching out to you regarding an exciting opportunity with TechMango. You can connect with me on Email: amutha.m@techmango.net or LinkedIn https://www.linkedin.com/in/amutha-valli-32611b289/ Job Title: BI Engineer Location: Remote Experience: 3+ years Mandatory Skills: AWS, BI, Quicksight, Python, ETL, SQL Job Description: We are seeking a highly skilled and experienced BI Engineer for AWS to join our team and play a crucial role in designing and implementing data analytics solutions on the Amazon Web Services (AWS) platform. The ideal candidate will have a deep understanding of data analytics technologies, AWS services, and a track record of architecting scalable and efficient data solutions to address complex business challenges. Responsibilities: Design, develop, and maintain BI solutions on AWS, including data pipelines, data warehouses, and reporting dashboards. Collaborate with business stakeholders to understand BI requirements and translate them into technical solutions. Assisting in develop and maintain ETL processes to extract, transform, and load data from various sources into AWS services such as S3, Redshift, or RDS. Design and implement scalable data models optimized for reporting and analytics needs. Create and optimize SQL queries and scripts for data manipulation, transformation, and Familiarity with programming/scripting languages like Python, SQL, and experience with data manipulation and transformation. Must be experience in Quicksight. Excellent problem-solving skills with the ability to design and implement creative solutions for complex data challenges. Strong communication skills to effectively collaborate with technical and non- technical teams. Experience in working with Agile methodologies and version control systems. Proven ability to work independently and manage multiple priorities effectively.

Reviews deals on Salesforce with a commercial mindset and assesses the strength and revenue potential of the deal. Has a good understanding of deal structures, and key KPIs e.g. discount, fee etc and uses this Required Candidate profile Improve quality of deal submissions. Approved deals on the copy board, ensuring deals are written in priority order, ensuring deals launch in time for key selling periods.

As a Data Engineer in Data Infrastructure and Strategy group, you will play a key role in transforming the way Operations Finance teams access and analyse the data. You will work to advance 3 Year Data Infrastructure Modernisation strategy and play a key role in adopting and expanding a unified data access platform and scalable governance and observability frameworks that follow modern data architecture and cloud-first designs. Your responsibilities will include supporting and migrating data analytics use cases of a targeted customer group and new features implementations within the central platform: component design, implementation using NAWS services that follow best engineering practices, user acceptance testing, launch, adoption and post-launch support. You will work on system design and integrate new components to established architecture. You will be engaged into cross-team collaboration by building reusable design patterns and components and adopting designs adopted by others. You will contribute to buy vs “build” decision by evaluating latest product and features releases for NAWS and internal products, perform gap analysis and define feasibility of their adoption and the list of blockers. The ideal candidate possess a track record of creating efficient AWS-based data solutions; data models for both relational databases and Glue/Athena/EMR stack; developing solution documentation, project plans, user guides and other project documentation. We are looking into individual contributor inspired to become data systems architects. Track of production level deliverables leveraging GenAI is big plus. Key job responsibilities * Elevate and optimize existing solutions while driving strategic migration. Conduct thorough impact assessments to identify opportunities for transformative re-architecture or migration to central platforms. Your insights will shape the technology roadmap, ensuring we make progress towards deprecation goals while providing best customer service; * Design, review and implement data solutions that support WW Operations Finance standardisation and automation initiatives using AWS technologies and internally built tools, including Spark/EMR, Redshift, Athena, DynamoDB, Lambda, S3, Glue, Lake Formation, etc; * Support data solutions adoption by both, finance and technical teams; identify and remove adoption blockers; * Ensure the speed of delivery and high-quality: iteratively improve development process and adopt mechanisms for optimisation of the development and support; * Contribute into engineering excellence by reviewing design and code created by others; * Contribute to delivery execution, planning, operational excellence, retrospectives, problem identification, and solution proposals; * Collaborate with finance analysts, engineers, product and program managers and external teams to influence and optimize the value of the delivery in data platform; * Create technical and customer-facing documentation on the products within the platform. A day in the life You work with the Engineering, Product, BI and Operations teams to elevate existing data platforms and implement best-of-class data solutions for Operations Finance organization. You solve unstructured customer pain points with technical solutions, you are focused on users productivity when working with the data. You participate in discussions with stakeholders to provide updates on project progress, gather feedback, and align on priorities. Utilizing AWS CDK and various AWS services, you design, execute, and deploy solutions. Your broader focus is on system architecture rather than individual pipelines. You regularly review your designs with Principal Engineer, incorporate gathered insights. Conscious of your impact on customers and infrastructure, you establish efficient development and change management processes to guarantee speed, quality and scalability of delivered solution. About the team Operations Finance Standardization and Automation improves customer experience and business outcomes across Amazon Operations Finance through innovative technical solutions, standardization and automation of processes and use of modern data analytics technologies. Basic qualifications MS or BS in Computer Science, Electrical Engineering, or similar fields; Strong AWS engineering background, 3+ years of demonstrated track record designing and operating data solutions in Native AWS. The right person will be highly technical and analytical with ability to drive technical execution towards organization goals; Exceptional triaging and bug fixing skills. Ability to assess risks, implement fix without customer impact; Strong data modelling experience, 3+ years of data modeling practice is required. Expertise in designing both analytical and operational data models is a must. Candidate needs to demonstrate the working knowledge of trade-offs in data model designs and platform-specific considerations with concentration in Redshift, MySQL, EMR/Spark and Athena; Excellent knowledge of modern data architecture concepts - data lakes, data lakehouses, - as well as governance practices; Strong documentation skills, proven ability to adapt the document to the audience. The ability to communicate the information on levels ranging from executive summaries and strategy addendums to detailed design specifications is critical to the success; Excellent communication skills, both written and oral. Ability to communicate technical complexity to a wide range of stakeholders. Preferred qualifications Data Governance frameworks experience; Compliance frameworks experience, SOX preferred; Familiarity or production level experience with AI-based AWS offerings (Bedrock) is a plus.

As a Production Support Engineer at Chola MS General Insurance, one should be responsible for Supporting, maintaining, documenting, expanding, and optimizing our Data Lake, Data warehouse, Data pipeline, and Data products. Required Candidate profile Should have a min 6+ yrs in Data Engg. Data Analytics platform Conduct root-cause analysis as & when needed & propose a corrective action plan Follow established set of processes while handling issues

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: We are looking for a talented, motivated leader with experience in building Scalable Cloud Services, Infrastructure, and processes. As part of the IoT (Internet of Things) team you will be working on the next generation of IoT products. As a Business Intelligence Engineer (BIE) In This Role The ideal candidate will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will have deep expertise in gathering requirements and insights, mining large and diverse data sets, data visualization, writing complex SQL queries, building rapid prototype using Python/ R and generating insights that enable senior leaders to make critical business decisions.Key job responsibilities You will utilize your deep expertise in business analysis, metrics, reporting, and analytic tools/languages like SQL, Excel, and others, to translate data into meaningful insights through collaboration with scientists, software engineers, data engineers and business analysts. You will have end-to-end ownership of operational, financial, and technical aspects of the insights you are building for the business, and will play an integral role in strategic decision-making. Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership Produce recommendations and insights that will help shape effective metric development and reporting for key stakeholders Simplify and automate reporting, audits and other data-driven activities Partner with Engineering teams to enhance data infrastructure, data availability, and broad access to customer insights To develop and drive best practices in reporting and analysis:data integrity, test design, analysis, validation, and documentation Learn new technology and techniques to meaningfully support product and process innovation BASIC QUALIFICATIONS At least 1+ years of experience using SQL to query data from databases/data warehouses/cloud data sources/etc. (e.g., Redshift, MySQL, PostgreSQL, MS SQL Server, BigQuery, etc.). Experience with data visualization using Tableau, Power BI, Quicksight, or similar tools. Bachelors degree in Statistics, Economics, Math, Finance, Engineering, Computer Science, Information Systems, or a related quantitative field. Ability to operate successfully and independently in a fast-paced environment. Comfort with ambiguity and eagerness to learn new skills. Knowledge of Cloud Services AWS, GCP and/or Azure is a must PREFERRED QUALIFICATIONS Experience with AWS solutions such as EC2, Athena, Glue, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Experience with creating and building predictive/optimization tools that benefit the business and improve customer experience Experience articulating business questions and using quantitative techniques to drive insights for business. Experience in dealing with technical and non-technical senior level managers. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, were the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain and were looking for talented people who want to help. Youll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Do you love problem solving? Are you looking for real world Supply Chain challenges? Do you have a desire to make a major contribution to the future, in the rapid growth environment of Cloud Computing? Amazon Web Services is looking for a highly motivated, analytical and detail oriented candidate to help build scalable, predictive and prescriptive business analytics solutions that supports AWS Supply Chain and Procurement organization. You will be part of the Supply Chain Analytics team working with Global Stakeholders, Data Engineers and Business Analysts to achieve our goals. The successful candidate will be a self-starter has a combination of superior analytical and technical abilities, business acumen, and written and verbal communication skills. Data-driven decision-making is at the core of Amazon’s culture. The ideal candidate has deep expertise in gathering requirements and insights, mining large and diverse data sets, data visualization, writing complex SQL queries, building rapid prototype using Python/ R and generating insights that enable senior leaders to make critical business decisions. The ideal candidate has experience providing guidance and support for other engineers with industry best practices and direction. They are comfortable with ambiguity and communicate clearly and effectively to all levels of the company, both in writing and in meetings. They are motivated to achieve results in a fast-paced environment. Key job responsibilities • Understand a broad range of Amazon’s data resources and processes. • Interface with Global Stakeholders, Data Engineers, and Business Analysts across time zones to gather requirements by asking right questions, analyzing data, and drawing conclusion by making and validating appropriate assumptions. • Conduct deep dive analyses of business problems and formulate conclusions and recommendations; determine optimized courses of action to deliver comprehensive Analytical solutions. • Enhance analytical maturity through predictive and prescriptive analytics using Machine Learning and Optimization techniques. • Produce written recommendations and insights for key stakeholders to help shape solution design. • Design, develop and maintain scalable and reliable analytical tools, dashboards, and metrics that drive key supply chain, and procurement decisions. • Handle multiple projects at once, deal with ambiguity and rapidly-changing priorities. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.