Lead Data Scientist Salary in Hyderabad - PayScale

General Summary\nCandidate will be responsible for creating cutting-edge technologies to improve the customer and\noperational experience. Candidate will have the opportunity to lead the paradigm shift for developing intelligent data platforms on cutting-edge technology including Big Data, Streaming. The candidate will provide the leadership and direction for development of enterprise solutions.Position ResponsibilitiesResearch and develop Data Ingestion pipelines.Drive adoption of cloud-based data ingestion systems into next-generation of FedEx SolutionsCreate data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.Build prototypes of learning solutions to show proof-of-concepts and develop scalable integrated enterprise services.Design, develop, implement, test intelligent application solutions and in a PaaS environment.Strong communication skills both written and verbal. Contribute to a positive culture of continuous improvement and operational excellence by identifying and implementing process improvements where appropriate.Skills & Experience Minimum Qualifications: Bachelor's Degree or equivalent in Computer Science, Engineering, Information Systems, and overall 8 +Years of IT experience or related field and 6 years of relevant experience. Skills/Knowledge Considered a PlusIn-depth knowledge of database structures/ data warehousing principles, and experience in SQL across different platforms including structured and unstructured data from various enterprise sources.Work with internal and external subject matter experts to select relevant source of information and explore abundance of data available in FedEx to identify and solve business problems.Ability to manipulate and analyze data with a scientific approach in order to determine the best and most optimal solution.Collaborates with cross-functional teams to understand the business problem, gather business requirements, supporting data and with/without guidance of leadership, help stakeholders/partners understand the business and scientific principles behind the process to gain their buy-in.Proficiency with data integration tools such as Ab Initio, Azure Data Factory and cloud infrastructure like Azure or Oracle Cloud.Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores and experience with building and optimizing 'big data' data pipelines, architectures, and data sets.Build processes supporting data transformation, data structures, metadata, dependency, and workload management. Initiative and passion for finding solutions to ambiguous problems and ability to work in difficult situations and across organizational boundaries.Strong communication skills both written and verbal, with ability to communicate or convey the results to audience at all levels.Additional InformationPosting Date: 2024-03-25FedEx Logistics provides freight forwarding, as well as import and export services that allow companies to reach markets throughout the world. They help customers of all sizes solve the intricacies of shipping goods globally by providing comprehensive international ocean and air freight forwarding, surface transportation and distribution, customs brokerage, trade and customs advisory services, and advanced e-commerce and trade facilitation solutions. We're glad you stopped by and hope your job search experience with FedEx Logistics, Inc. will be rewarding. We look forward to hearing from you!Salary: . Date posted: 03/25/2024 08:39 PM

General Summary\nCandidate will be responsible for creating cutting-edge technologies to improve the customer and\noperational experience. Candidate will have the opportunity to lead the paradigm shift for developing intelligent data platforms on cutting-edge technology including Big Data, Streaming. The candidate will provide the leadership and direction for development of enterprise solutions.Position ResponsibilitiesResearch and develop Data Ingestion pipelines.Drive adoption of cloud-based data ingestion systems into next-generation of FedEx SolutionsCreate data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.Build prototypes of learning solutions to show proof-of-concepts and develop scalable integrated enterprise services.Design, develop, implement, test intelligent application solutions and in a PaaS environment.Work with technical leadership to drive innovation and create best practices within the team.Present technical ideas and high-level concepts and solutions to internal and external team members.Collaborate and contribute to the company's data mining architectures, modeling standards,reporting, and data analysis methodologiesStrong communication skills both written and verbal. Contribute to a positive culture of continuous improvement and operational excellence by identifying and implementing process improvements where appropriate.Skills & Experience Minimum Qualifications: Bachelor's Degree or equivalent in Computer Science, Engineering, Information Systems, and overall 12 +Years of IT experience or related field and 8 years of relevant experience. Skills/Knowledge Considered a PlusIn-depth knowledge of database structures/ data warehousing principles, and experience in SQL across different platforms including structured and unstructured data from various enterprise sources.Work with internal and external subject matter experts to select relevant source of information and explore abundance of data available in FedEx to identify and solve business problems.Ability to manipulate and analyze data with a scientific approach in order to determine the best and most optimal solution.Collaborates with cross-functional teams to understand the business problem, gather business requirements, supporting data and with/without guidance of leadership, help stakeholders/partners understand the business and scientific principles behind the process to gain their buy-in.Proficiency with data integration tools such as Ab Initio, Azure Data Factory and cloud infrastructure like Azure or Oracle Cloud.Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores and experience with building and optimizing 'big data' data pipelines, architectures, and data sets.Build processes supporting data transformation, data structures, metadata, dependency, and workload management. Initiative and passion for finding solutions to ambiguous problems and ability to work in difficult situations and across organizational boundaries.Strong communication skills both written and verbal, with ability to communicate or convey the results to audience at all levels.Additional InformationPosting Date: 2024-03-25FedEx Logistics provides freight forwarding, as well as import and export services that allow companies to reach markets throughout the world. They help customers of all sizes solve the intricacies of shipping goods globally by providing comprehensive international ocean and air freight forwarding, surface transportation and distribution, customs brokerage, trade and customs advisory services, and advanced e-commerce and trade facilitation solutions. We're glad you stopped by and hope your job search experience with FedEx Logistics, Inc. will be rewarding. We look forward to hearing from you!Salary: . Date posted: 03/25/2024 08:39 PM

DESCRIPTIONThe central leads management team within international seller services is looking for a Business Analyst. We are looking for customer obsessed, data driven professionals to join our growing team and solve some of the hardest problems for our customers. If you want operate at start up speed and build a service which advertisers and shoppers love, this might be the place for you.The business analyst is responsible for driving deep insights about Leads Management and driving continuous improvement using the data. The person should have a detailed understanding of a business requirement or the ability to quickly get to the root cause of a particular business issue, and draft solutions to meet requirements or resolve the root problems. You will work closely with program managers, business intelligence engineers, data scientists and product managers to analyze massive data sets, identify areas to improve, define metrics to measure and monitor programs, and most importantly work with different stakeholders to drive improvements over time. You will also work closely with internal business teams to extract or mine information from our existing systems to create new analysis, and expose data from our group to wider teams in intuitive ways.Key job responsibilities• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. within SQL, Tableau and Quicksight.• Define the data elements and data structure that our team should leverage to enable analytical and reporting capabilities for our business development team• Design and influence operational best practices for reporting and analytics to enable the team to scale as we grow presence in new and existing territories• Preparing and delivering business reviews to the senior management team regarding progress and roadblocks• Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format• Define the business problem and solution approach autonomously with limited guidance.• Write concise documents communicating results to stakeholders and visualize data to drive decision makingA day in the life• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. within SQL, Tableau and Quicksight.• Define the data elements and data structure that our team should leverage to enable analytical and reporting capabilities for our business development team• Design and influence operational best practices for reporting and analytics to enable the team to scale as we grow presence in new and existing territories• Preparing and delivering business reviews to the senior management team regarding progress and roadblocks• Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format• Define the business problem and solution approach autonomously with limited guidance.• Write concise documents communicating results to stakeholders and visualize data to drive decision makingAbout the teamLeads Management team (Amazon International Seller Services) supports the International Sales teams in lead generation and lead qualification activities for the entire gamut of Amazon services. Leads management team works in collaboration with a Data Science/BIE team to deliver high quality leads to the Seller management/recruiting teams across the globeWe are open to hiring candidates to work out of one of the following locations:Hyderabad, TS, INDBASIC QUALIFICATIONS- 3+ years relevant experience in business analysis, handling live projects/programs end to end, by owning the delivery and reporting- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Experience with SQL- Experience in ExcelPREFERRED QUALIFICATIONS- 3+ years experience in a business analyst, data analyst or statistical analyst role- Advance SQL proficiency - experience writing complex SQL statements and ability to manipulate a massive amount of data, creating dashboards/on demand reports- Advance proficiency with Excel- 2+ years of experience with business intelligence, machine learning models and data visualization tools (e.g. Tableau)- 2+ years of experience with a modern programming language (e.g., Ruby, Python, etc.)Salary: . Date posted: 03/29/2024 10:07 PM

NTT DATA Services strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward:thinking organization, apply now.We are currently seeking a ((Data Lead)) to join our team in ((Hyderabad)), ((Telangana)), ((India)).8+ years' experience as a SAP consultant, ideally with Finance or Logistic functional background orABAP knowledge (techno:functional).Should have experience of at least 1 end:to:end SAP s4 Hana implementation / Rollouts.Good knowledge in data migration tools such as LTMC, LSMW, batch input with understanding of underlying SAP data models and SAP Objects dependency. Analyzing legacy data, quality check of submitted load files, testing load quality, leading user testing and acceptance of load process, providing input into specifications for automated data migration transformation rules, analysis and identification of duplicate records and other activities required for successful and on time data migration.Building,testing, executing and managing data migrations utilizing tools such as S/4 HANA migration cockpit(LTMC), SAP LSWM and integration technologies such as IDOCs and BAPIs / FM's experience across the SAP functional areas such as Finance and Logistic data analysis and reconciliation ,implementing an S4/HANA environment.Work closely with Data Migration team to document data migration requirements, on project planning and load scheduling, testing and troubleshooting, and issue resolution.Work closely with Business Lead on schedules and overall deployment support to sites, and with other workstreams on overall data migration and cutover plans.Work closely with Master Data team to ensure master data is ready to support data loads.About NTT DATA ServicesNTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a 30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge:to:cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients' long:term success. Visit nttdata or LinkedIn to learn more.NTT DATA Services is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.

BASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field 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 making business recommendations and influencing stakeholders- Experience with Excel- Proven experience writing scripts using SQL, extracting and analyzing the data to provide precise reports to stakeholders.- Demonstrated ability to consistently maintain a high level of integrity and discretion to handle confidential information.- Proven superb customer service to the leadership team and other key stakeholders- Demonstrated written and verbal communication skills.- Proven ability to present complex information in a clear and concise manner to executives.DESCRIPTIONWithin Amazon, the Selling Partner Risk team launches products and services that detect and prevent abuse on our store before it impacts a customer. We work with business partners across the organization to find and close gaps that lead to abuse and create and enforce selling policies that help ensure we have a fair marketplace. Our product and program managers work hand in hand with our engineering and science partners to develop and implement innovative solutions that help Sellers become successful and stop bad actors at scale, globally.We are seeking a candidate who loves solving complex problems, is passionate about stopping bad actors and protecting customers. Plus, good analytical skills and a proven track record of being able to successfully identify a solution, prepare a plan and execute it with good results.Key job responsibilitiesWe are seeking an exceptional Business Analyst to drive analysis and insights to help our teams make meaningful business decisions. As a Business Analyst, you will focus on improving the success of Sellers in our store by analyzing data, discovering and solving real world problems, and building metrics and business cases to improve customer experience. We are focused on your success and want to build future leaders within Amazon. A key component of the role is to identify process and system improvement opportunities by monitoring existing metrics, analyzing data, and partnering with scientists, risk managers and program managers within the team. You will design and develop automated reporting solutions to surface potential gaps of existing mechanism and support data-driven decisions. You will define business logic with business owners and deploy heuristic solutions. Lastly, you will enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.We are open to hiring candidates to work out of one of the following locations:Hyderabad, TS, INDPREFERRED QUALIFICATIONS- Experience working in risk, fraud, or ML organizations.- Ability to create detailed business analysis, outlining problems, opportunities and solutions for a business stakeholders.- Familiar with defining configuration specifications and business analysis requirements- Experience working in risk, fraud or compliance organizations.- Advance SQL proficiency -write complex SQL statements and ability to manipulate a massive amount of data, creating dashboards/on demand reportsSalary: . Date posted: 04/04/2024 09:31 AM

DESCRIPTIONWithin Amazon, the Selling Partner Risk team launches products and services that detect and prevent abuse on our store before it impacts a customer. We work with business partners across the organization to find and close gaps that lead to abuse and create and enforce selling policies that help ensure we have a fair marketplace. Our product and program managers work hand in hand with our engineering and science partners to develop and implement innovative solutions that help Sellers become successful and stop bad actors at scale, globally.We are seeking a candidate who loves solving complex problems, is passionate about stopping bad actors and protecting customers. Plus, good analytical skills and a proven track record of being able to successfully identify a solution, prepare a plan and execute it with good results.Key job responsibilitiesWe are seeking an Business Analyst to drive analysis and insights to help our teams make meaningful business decisions. As a Business Analyst, you will focus on improving the success of Sellers in our store by analyzing data, discovering and solving real world problems, and building metrics and business cases to improve customer experience. We are focused on your success and want to build future leaders within Amazon. A key component of the role is to identify process and system improvement opportunities by monitoring existing metrics, analyzing data, and partnering with scientists, risk managers and program managers within the team. You will design and develop automated reporting solutions to surface potential gaps of existing mechanism and support data-driven decisions. You will define business logic with business owners and deploy heuristic solutions. Lastly, you will enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.We are open to hiring candidates to work out of one of the following locations:Hyderabad, TS, INDBASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field 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 making business recommendations and influencing stakeholders- Experience with Excel- Proven experience writing scripts using SQL, extracting and analyzing the data to provide precise reports to stakeholders.- Demonstrated ability to consistently maintain a high level of integrity and discretion to handle confidential information.- Proven superb customer service to the leadership team and other key stakeholders- Demonstrated written and verbal communication skills.- Proven ability to present complex information in a clear and concise manner to executives.PREFERRED QUALIFICATIONS- Experience working in risk, fraud, or ML organizations.- Ability to create detailed business analysis, outlining problems, opportunities and solutions for a business stakeholders.- Familiar with defining configuration specifications and business analysis requirements- Experience working in risk, fraud or compliance organizations.- Advance SQL proficiency -write complex SQL statements and ability to manipulate a massive amount of data, creating dashboards/on demand reportsSalary: . Date posted: 04/04/2024 09:31 AM

DESCRIPTIONAmazon Transportation team is looking for an innovative, hands-on and customer-obsessed Business Analyst for Analytics team. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once.Ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done.This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams.Key job responsibilities1) Apply multi-domain/process expertise in day to day activities and own end to end roadmap.2) Translate complex or ambiguous business problem statements into analysis requirements and maintain high bar throughout the execution.3) Define analytical approach; review and vet analytical approach with stakeholders.4) Proactively and independently work with stakeholders to construct use cases and associated standardized outputs5) Scale data processes and reports; write queries that clients can update themselves; lead work with data engineering for full-scale automation6) Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis7) Work with a variety of data sources and Pull data using efficient query development thatrequires less post processing (e.g., Window functions, virt usage)8) When needed, pull data from multiple similar sources to triangulate on data fidelity9) Actively manage the timeline and deliverables of projects, focusing on interactions in the team10) Provide program communications to stakeholders11) Communicate roadblocks to stakeholders and propose solutions12) Represent team on medium-size analytical projects in own organization and effectively communicate across teamsA day in the life1) Solve ambiguous analyses with less well-defined inputs and outputs; drive to the heart of the problem and identify root causes2) Have the capability to handle large data sets in analysis through the use of additional tools3) Derive recommendations from analysis that significantly impact a department, create new processes, or change existing processes4) Understand the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis testing5) Identify and implement optimal communication mechanisms based on the data set and the stakeholders involved6) Communicate complex analytical insights and business implications effectivelyAbout the teamAOP (Analytics Operations and Programs) team is missioned to standardize BI and analytics capabilities, and reduce repeat analytics/reporting/BI workload for operations across IN, AU, BR, MX, SG, AE, EG, SA marketplace.AOP is responsible to provide visibility on operations performance and implement programs to improve network efficiency and defect reduction. The team has a diverse mix of strong engineers, Analysts and Scientists who champion customer obsession.We enable operations to make data-driven decisions through developing near real-time dashboards, self-serve dive-deep capabilities and building advanced analytics capabilities.We identify and implement data-driven metric improvement programs in collaboration (co-owning) with Operations teams.We are open to hiring candidates to work out of one of the following locations:Hyderabad, TS, INDBASIC QUALIFICATIONS- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)- Experience with scripting language (e.g., Python, Java, or R)PREFERRED QUALIFICATIONS- Master's degree, or Advanced technical degree- Knowledge of data modeling and data pipeline design- Experience with statistical analysis, co-relation analysisSalary: . Date posted: 04/06/2024 09:30 AM

Join JPMorgan's transformation into a technologically advanced, client-centric company. We're investing in cutting-edge infrastructure, data, and AI technology and are seeking top talent Data team. Our mission is to incorporate Data & machine learning into our key customer products, working closely with our engineering and technology partners. This role provides a unique opportunity to make a significant impact on the financial services industry.As a Data Product Manager in Consumer & Community Banking in the Home Lending Data Owner team, you'll play a key part in running programs at the forefront of Chase's data modernization efforts, leading the Home Lending into an AI analytics and cloud-first based strategy. This is a unique opportunity to manage the design and implementation of a hyper scale data platform that will underlay the migration of our existing $200M+ Home Lending data ecosystem to the cloud.In this position you will be responsible for supporting technical architecture, AI/ML and data design, and strategic decisions around the design of, investment in, and decommissioning of elements of the Home Lending Servicing Product that is created, provisioned, or consumed to support strategic business objectives, Artificial Intelligence/Machine Learning, advanced analytics, business operations, and reporting. As a member of the Data & Analytics team, you will collaborate with transformation leaders, designers, and developers to ensure that Home Lending Products leverage state-of-the-art cloud architecture while effectively navigating the firm's current-state hybrid environment. You will partner with aligned Data Owners, Data Scientists, and Analysts, to drive increased business value through the identification of data required to support advanced analytics outcomes such as customer segmentation, personalization, and AI/ML, including Generative AI models.Job Responsibilities: Proven experience in a team manager role within a data-driven organization. Demonstrated experience in managing and deploying AI/ML models at scale. Experience in product management, including the development and launch of new data products. Proven track record of working with cross-functional teams, including data scientists, engineers, and business stakeholders. Experience in strategic planning and execution of data initiatives. Familiarity with data governance and data privacy regulations. Experience in the use of data visualization tools and data analysis software. Prior experience in Home Lending Required qualifications, capabilities and skills: Bachelor's degree in Computer Science, Data Science, Statistics, Economics, or a related field. Strong understanding of AI/ML use cases and their real-world advantages/drawbacks. Knowledge of cloud platforms like AWS, Google Cloud, or Azure, and experience with big data technologies like Hadoop, Spark, etc. Excellent leadership and team management skills. Strong problem-solving skills and the ability to make data-driven decisions. Excellent communication skills, with the ability to explain complex data concepts to non-technical stakeholders. Ability to work in a fast-paced environment and manage multiple projects simultaneously.Preferred qualifications, capabilities and skillsA Master's degree or PhD would be a pluAbout usJPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.About the TeamOur Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.Salary: . Date posted: 03/20/2024 10:28 PM

DESCRIPTIONAmazon Transportation team is looking for an innovative, hands-on and customer-obsessed Business Analyst for Analytics team. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once.Ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done.This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams.Key job responsibilities1) Apply multi-domain/process expertise in day to day activities and own end to end roadmap.2) Translate complex or ambiguous business problem statements into analysis requirements and maintain high bar throughout the execution.3) Define analytical approach; review and vet analytical approach with stakeholders.4) Proactively and independently work with stakeholders to construct use cases and associated standardized outputs5) Scale data processes and reports; write queries that clients can update themselves; lead work with data engineering for full-scale automation6) Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis7) Work with a variety of data sources and Pull data using efficient query development thatrequires less post processing (e.g., Window functions, virt usage)8) When needed, pull data from multiple similar sources to triangulate on data fidelity9) Actively manage the timeline and deliverables of projects, focusing on interactions in the team10) Provide program communications to stakeholders11) Communicate roadblocks to stakeholders and propose solutions12) Represent team on medium-size analytical projects in own organization and effectively communicate across teamsA day in the life1) Solve ambiguous analyses with less well-defined inputs and outputs; drive to the heart of the problem and identify root causes2) Have the capability to handle large data sets in analysis through the use of additional tools3) Derive recommendations from analysis that significantly impact a department, create new processes, or change existing processes4) Understand the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis testing5) Identify and implement optimal communication mechanisms based on the data set and the stakeholders involved6) Communicate complex analytical insights and business implications effectivelyAbout the teamAOP (Analytics Operations and Programs) team is missioned to standardize BI and analytics capabilities, and reduce repeat analytics/reporting/BI workload for operations across IN, AU, BR, MX, SG, AE, EG, SA marketplace.AOP is responsible to provide visibility on operations performance and implement programs to improve network efficiency and defect reduction. The team has a diverse mix of strong engineers, Analysts and Scientists who champion customer obsession.We enable operations to make data-driven decisions through developing near real-time dashboards, self-serve dive-deep capabilities and building advanced analytics capabilities.We identify and implement data-driven metric improvement programs in collaboration (co-owning) with Operations teams.We are open to hiring candidates to work out of one of the following locations:Hyderabad, TS, INDBASIC QUALIFICATIONS- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with building and maintain basic data artifacts (e.g. ETL, data models, queries)- Experience with scripting language (e.g., Python, Java, or R)- 2+ years of ecommerce, transportation, finance or related analytical field experiencePREFERRED QUALIFICATIONS- Master's degree, or Advanced technical degree- Knowledge of data modeling and data pipeline design- Experience with statistical analysis, co-relation analysis

DESCRIPTIONAmazon Transportation team is looking for an innovative, hands-on and customer-obsessed Business Analyst for Analytics team. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once.Ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done.This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams.Key job responsibilities1) Apply multi-domain/process expertise in day to day activities and own end to end roadmap.2) Translate complex or ambiguous business problem statements into analysis requirements and maintain high bar throughout the execution.3) Define analytical approach; review and vet analytical approach with stakeholders.4) Proactively and independently work with stakeholders to construct use cases and associated standardized outputs5) Scale data processes and reports; write queries that clients can update themselves; lead work with data engineering for full-scale automation6) Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis7) Work with a variety of data sources and Pull data using efficient query development thatrequires less post processing (e.g., Window functions, virt usage)8) When needed, pull data from multiple similar sources to triangulate on data fidelity9) Actively manage the timeline and deliverables of projects, focusing on interactions in the team10) Provide program communications to stakeholders11) Communicate roadblocks to stakeholders and propose solutions12) Represent team on medium-size analytical projects in own organization and effectively communicate across teamsA day in the life1) Solve ambiguous analyses with less well-defined inputs and outputs; drive to the heart of the problem and identify root causes2) Have the capability to handle large data sets in analysis through the use of additional tools3) Derive recommendations from analysis that significantly impact a department, create new processes, or change existing processes4) Understand the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis testing5) Identify and implement optimal communication mechanisms based on the data set and the stakeholders involved6) Communicate complex analytical insights and business implications effectivelyAbout the teamAOP (Analytics Operations and Programs) team is missioned to standardize BI and analytics capabilities, and reduce repeat analytics/reporting/BI workload for operations across IN, AU, BR, MX, SG, AE, EG, SA marketplace.AOP is responsible to provide visibility on operations performance and implement programs to improve network efficiency and defect reduction. The team has a diverse mix of strong engineers, Analysts and Scientists who champion customer obsession.We enable operations to make data-driven decisions through developing near real-time dashboards, self-serve dive-deep capabilities and building advanced analytics capabilities.We identify and implement data-driven metric improvement programs in collaboration (co-owning) with Operations teams.We are open to hiring candidates to work out of one of the following locations:Hyderabad, TS, INDBASIC QUALIFICATIONS- 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business- 4+ years of ecommerce, transportation, finance or related analytical field experiencePREFERRED QUALIFICATIONS- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets