Data Analyst Salary in India - PayScale

Job DescriptionQA Manual Analyst - Capital Markets EquitiesTCS has always been in the spotlight for being adept in the next big technologies. What we can offer you is a space to explore varied technologies and quench your techie soul.The customer - LSEG (London Stock exchange group) is a leading global financial markets infrastructure and data group, also they are dedicated partners with a deep commitment to excellence, delivering value for their customers. They are leaders in data and analytics, risk, collateral and processing solutions, capital formation and trade execution. With them you get the level of influence and opportunity that youd have at a startup, combined with the large-scale impact of working at a global company.LSEG is a global organization spanning 70 countries and one rooted in a culture of growth, opportunity, diversity, and innovation, this is a place where everyone can grow, develop, and fulfil your potential with purposeful careers.Job Description:Experience: 5 Years to 8 YearsLocation: HyderabadMust have: Bachelors degree in Computer Science/Engineering or related field or equivalent professional qualification. Minimum of 5-year hands on experience in Software development life cycle, preferably in testing multi-tiered applications. Minimum of 2-year experience in Scala or Java Minimum of 1-year experience on Linux / UNIX environment. Minimum of 2-year experience in testing backend applications build on RestAPIs Minimum of 2-year experience using SQL Minimum of 1-year experience in analysing large volumes of data to prepare test data. Experience in reviewing test plans Demonstrate a clear understanding of standard software QA processes and methodologies. Ability to grasp technical and domain knowledge quickly is critical. High attention to details and strong communication skills with ability to work under pressure. Ability to train and mentor junior QA team members. Proficient in using Jira/Confluence Practices Agile principlesGood to Have: Experience in testing applications deployed in cloud ( AWS). Build, maintain and update automated test scripts based on the test cases. Experience in Capital Markets domain/ market surveillance systems. Experience in designing and writing test automation scripts using Java/Python/JavaScript coding language Experience using FIX protocol Realtime system experience Integration testing with upstream /downstream systems External teams (thinking external market teams like Quant house/Vela)Key Responsibilities:The QA Manual Analyst is a member of the Agile Team responsible for testing software developed for Capital Markets Equities Products; they apply business requirements and knowledge of software testing lifecycles to guide the testing of complex software products or customer solutions. The QA Analyst contributes through their technical expertise and talent development. They work as a part of a Scrum team utilizing Continuous Integration and Behavior Driven Development and adopting DevOps practices.Detailed Responsibilities: Study requirement specifications and raise clarifications to business analysts and customers. Able to document processes and share knowledge (helping to build up the knowledge in LSEG that we are currently dependent on EP for) Build, maintain and update test scenarios and test cases based on the requirement specifications. Able to understand business logics (alert logics) written in Scala identify test scenarios/edge cases. Report results of automated and manual tests. Troubleshoot issues in automated test scripts. Report issues and anomalies in the system in the issue tracking system. Communicate any unforeseen issues thats affecting own work to leads on time. Provide daily, weekly status updates to leads and managers. Act as a lead for the other QA team members. Create and build test plans, estimates and improvements to test process. Review QA project artefacts including Test scenarios, Test Scripts, Defect reports and Status reports. Research into new QA tools methodologies and suggest improvements to the team.LocationHyderabadJob FunctionTECHNOLOGYRoleAnalystJob Id266266Desired SkillsAWS | Java | Linux | Scala | SQL | Unix | Jira AdminDesired Candidate ProfileQualifications : BACHELOR OF COMPUTER APPLICATION, BACHELOR OF ENGINEERING, MASTER OF COMPUTER APPLICATION, MASTER OF ENGINEERING

Senior Analyst PayrollHelp manage and grow Dell Technologies financial health with a role on our Payroll team. The team is responsible for processing the company payroll while making sure that all wages, tax withholdings and deductions are accurate. The Payroll team also prepares financial records and reports.Join us to do the best work of your career and make a profound social impact as a Senior Analyst on our Payroll team in India.What youll achieveAs a SeniorAnalyst, you will be responsible for maintaining a professional relationship with other stakeholders like payroll vendors, HR partners, and other functionsYou will:Be maintaining a professional relationship with other stakeholders like payroll vendors, HR partners, and other functionsManage a team of 3- 4 members is added advantageTake the first step towards your dream careerEvery Dell Technologies team member brings something unique to the table. Heres what we are looking for with this role:Essential RequirementsCandidate must have 4 or more years of Japanese language work experience. Experience in Payroll/ accounting is preferable.Able to multi-task, good at quick learning, and ready to take a challenging job to meet management and employee expectation.Excellent analytical and problem-solving skills. Should have good excel knowledge.Experience in ERP such as Workday, service now, etc. is added advantage.Excellent oral and written communication skills in Japanese and English are mandatory.Desirable RequirementsB. Com, M. Com, MBA, etc. candidate is preferable.Heres our story; now tell us yoursDell Technologies helps organizations and individuals build a brighter digital tomorrow. Our company is made up of more than 150,000 people, located in over 180 locations around the world. Were proud to be a diverse and inclusive team and have an endless passion for our mission to drive human progress.Whats most important to us is that you are respected, feel like you can be yourself and have the opportunity to do the best work of your life - while still having a life. We offer excellent benefits, bonus programs, flexible work arrangements, a variety of career development opportunities, employee resource groups, and much more.We started with computers, but we didnt stop there. We are helping customers move into the future with multi-cloud, AI and machine learning through the most innovative technology and services portfolio for the data era. Join us and become a part of whats next in technology, starting today.You can also learn more about us by reading our latest Diversity and Inclusion Report and our plan to make the world a better place by 2030 here.Application closing date: 15th April 2023Dell is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Dell are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Dell will not tolerate discrimination or harassment based on any of these characteristics. Dell encourages applicants of all ages. Read the full Equal Employment Opportunity Policy here.

DESCRIPTIONOver the past 20 years Amazon has earned the trust of over 300 million customers worldwide by providing unprecedented convenience, selection and value on Amazon.com. By deploying Amazon Pay’s products and services, merchants make it easy for these millions of customers to safely purchase from their third party sites using the information already stored in their Amazon account.In this role, you will lead Data Engineering efforts to drive automation for Amazon Pay organization. You will be part of the data engineering team that will envision, build and deliver high-performance, and fault-tolerant data pipeliens. As a Data Engineer, you will be working with cross-functional partners from Science, Product, SDEs, Operations and leadership to translate raw data into actionable insights for stakeholders, empowering them to make data-driven decisions. Key job responsibilities· Design, implement, and support a platform providing ad-hoc access to large data sets· Interface with other technology teams to extract, transform, and load data from a wide variety of data sources· Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL, Redshift, and OLAP technologies· Model data and metadata for ad-hoc and pre-built reporting· Interface with business customers, gathering requirements and delivering complete reporting solutions· Build robust and scalable data integration (ETL) pipelines using SQL, Python and Spark.· Build and deliver high quality data sets to support business analyst, data scientists, and customer reporting needs.· Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customersAbout the teamAmazon Pay Data engineering and Analytics team’s mission is to transform raw data into actionable insights. We do this by providing single source of truth, standardized metrics, reporting with deep dive capabilities, produce ML models and actionable insights that will identify growth opportunities and drive AmazonPay fly-wheel. We are open to hiring candidates to work out of one of the following locations:Bengaluru, KA, INDBASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJSPREFERRED QUALIFICATIONS- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

Are you searching for sales jobs in Mumbai in the jewellery sector? There are vacancies for sales, merchandising, and MIS/data analysis at Jagannath Gangaram Pednekar Jewellers in Mumbai. Interested candidates can walk in for interviews as per the information given in the job notification below.

Requisition Number: 63239Corning is vital to progress : in the industries we help shape and in the world we share.We invent life:changing technologies using materials science. Our scientific and manufacturing expertise, boundless curiosity, and commitment to purposeful invention place us at the center of the way the world interacts, works, learns, and lives.Our sustained investment in research, development, and invention means we're always ready to solve the toughest challenges alongside our customers.The Global Supply Management (GSM) Function is recognized as a critical function for business success. It delivers the training, tools and opportunities needed to create innovative solutions for the function and the corporation. GSM has leading edge, effective processes to anticipate and exceed customer requirements.Purpose of Position: This role focuses on the execution of data improvement strategies, ensuring superior data quality and governance across various platforms and tools. The Data Management Analyst is responsible for defining, receiving, processing, and executing data improvement requests for data utilized by the Global Supply management professionals. This includes supplier data, transaction spend data, operating unit data, purchased goods/services descriptive metadata, savings data, and much more.Day to Day Responsibilities: (role within group / projects within group)stylemargin:bottom:11.0px::Create material records on the ERP.:Develop and execute strategies to clean up and standardize supplier and material records within the database. :Oversee the development and execution of data standards, data quality rules, and data governance. :Manage the organizations master data set, create reports, and troubleshoot data issues.:Collaborate with various teams to ensure material data needs are met and data is consistent across all platforms.:Develop and implement data improvement strategies to enhance data quality and reliability. :Conduct data analysis to identify and understand trends, issues, and opportunities. :Maintain and update data systems as necessary, ensuring that data regulations and policies are adhered to.:Create and maintain documentation of procedures, data dictionaries, and data models. :Train and support users on new systems and procedures.:Ensure completeness and integrity of data within the Ariba spend visibility platform through effective data management and integration. :Facilitate and enable the implementation of data governance policies and procedures to ensure the proper category classification for all materials and procurement items. :Provide the necessary tools and systems for maintaining consistency and accuracy across the database. :Analyze existing supplier data to identify inconsistencies, duplicates, and inaccuracies. :Process data improvement requests received via SharePoint and Click 3000. :Extract data from ERP systems (PSOFT, SAP), and other applications (Ariba, Standard Naming Tools). :Align data improvements across different applications and coordinate with third:party data improvement providers (i.e. Ariba, ECCMA, Bristlecone). :Generate monthly data improvement metric reports and perform quality checks as per standard operating procedures. :Ensure compliance with Corporate policies and procedures such as Data Privacy / Safe Harbor, Information Protection, Ethics Policy, Buying Policy, Code of Conduct, etc.Scope of Positionstylemargin:bottom:11.0px::Data used by Global Supply management professionals which includes, supplier data, transaction spend data, operating unit data, purchased goods/services descriptive meta data, savings data.:Proven experience in a data management role. :Strong knowledge of data analysis tools and databases.:Strong understanding of data management concepts including data modeling, data quality,

Req ID: 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 Quality Analyst to join our team in Hyderabad, Telangana (IN:TG), India (IN).Required Skills- 3 : 5 years of IT experience- Experience using Atacamma, Data Catalog, Data Quality, - Experience with Vendor Tool Management- Good to have Unix Shellscripting Knowledge, AWS- Strong data quality background that includes use of common enterprise data quality tools- Deep understanding of technology environments that data quality tools and processesAbout 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.

DESCRIPTIONAt Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. We are looking for a talented, driven and experienced Business Analyst. It is a pivotal role that will contribute to the evolution and success of one of the key priorities of the organization by insights mining and data modelling to make high impact decisions that reduce time to identify abuse. Key deliverables of the role:• Own the weekly/monthly dashboards for key metric tracking and associated deep dives• Automate data templates and reports• Engage with cross-team stakeholders to help run deep dives, test hypothesis and impact of ML/product changes made, on key metricsKey job responsibilities• SQL skills• Microsoft Excel• Passion for converting data to insights, building frameworks for decision making, high attention to details and data fidelity• Ability to prioritize and focus on high impact areas• Teamwork and problem solving skillsWe are open to hiring candidates to work out of one of the following locations:Bangalore, KA, INDBASIC QUALIFICATIONS- 1+ years of business analysis (dealing with large complex data) experience- Knowledge of SQL and Excel at a moderate or advanced level- Bachelor's degree- Experience working directly with business teams to utilize metrics and analysis to determine improvement opportunitiesPREFERRED QUALIFICATIONS- Knowledge of SQL/Python/R, scripting, MS Excel, table joins, and aggregate analytical functions

Lead Data Analyststylemargin:bottom:8.0px:About the TeamThe Product Analytics team directly embeds in Vista's product organization to drive forward strategic opportunities to optimize the customer experience and empower decision:making with data. The Product Team within Vistaprint Corporate Solutions is dedicated to building unparalleled products that deliver immense value to our customers. Comprising of skilled product managers, UX designers, and engineers, our team collaborates closely with global marketing, sales, and customer service teams. We are committed to leveraging advanced analytics to enhance customer experiences and drive continuous improvement across our product offerings.About the RoleAs the Lead Data Analyst for the Product Teams, you will play a pivotal role in supporting our mission to enhance Vistaprints position as the premier design and marketing partner for small businesses. You have a consulting attitude, striving to both bolster the evidence used in product team decision:making and proactively identify high value events and interactions within the product. You are technical but at the same time can convey the business meaning behind a sophisticated set of metrics and drive concrete recommendations.What you'll be doingstylemargin:bottom:8.0px::Collaborate with cross:functional product development teams to identify areas of opportunity and drive value for our customers by navigating customer engagement, business, contact center, and transactional data using multiple dashboards, data sources and analytical techniques. :Act as a data and insights consultant throughout the product development lifecycle in areas such as product discovery, solution design, and experimentation. :Mentor and coach product teams in reporting and monitoring of their metrics. Partner closely with internal stakeholders to build intuitive analytics tools, reporting, and custom visualizations.:Analyze data from various sources to generate comprehensive reports on contact center operations, identifying performance trends and improvement opportunities.:Support in design of A/B or percentage roll:out tests to optimize customer experiences and provide insightful recommendations based on test results.:Coach and mentor junior analysts to deliver high:quality analytics solutions and foster a culture of continuous learning and improvement.What'll make you a Great Candidatestylemargin:bottom:8.0px::5+ years of experience in analytics, preferably in an e:commerce environment.:Bachelors degree in either Business, Mathematics, Statistics, Computer Science, Engineering, Economics, or a related field from a reputable university.:Sophisticated technical skills in SQL (Snowflake), web:analytics tools (Google Analytics 360 + Data Studio, Adobe Analytics) and visualization tools (Domo, Looker, Power BI, Tableau);2+ years of experience independently crafting, executing, and analyzing A/B experiments. Experience with Optimizely, Statsig, or other experimentation tools is a plus.:Expert understanding of exploratory analysis and statistical techniques and skilled in finding important patterns and trends in the data;Strong problem:solving skills (ability to translate a business ask into a very concrete question and then breakdown it down into important analysis).:Compelling communication (able to articulate your point clearly based on your audience):Excellent organizational skills, good attention to detail and consistent record of effectively delivering on projects supporting multiple business partners to make decisions.:Experience with programming languages (e.g., Python, R).:Experience with BigQuery or other web analytics data sources.:Experience with Quantum Metric, Indicative, or other product analytics tools.What's in it for You (Besides the best:in:class Rewards)stylemargin:bottom:8.0px::An OPPORT

Department Name : Commercial IT Global Business Service(GBS)At Novo Nordisk, we strive to be at the forefront of digital healthcare and to succeed with this, we need many bright minds. Working directly or indirectly with all parts of Novo Nordisk Globally, you will play a significant part in leading Novo Nordisk towards the future of digital healthcare securely. We are looking for a self:driven Data Analyst for our International Operations Data Analytics team. Join a growing team, working in an international environment. Apply nowAbout the departmentDigital, Data and IT India is a team of 900+ highly skilled IT professionals located in Global Business Services (GBS) Bangalore. The main role of DD and IT India is to manage IT, which includes System Management, Project Management, Infrastructure Management, Compliance Management, Security Management, Process Management and Vendor Management.Commercial IT department is an integral part of DD and IT India and is responsible for delivering projects and managing systems for Sales, Marketing, Medical and Market Access teams. In DD and IT, we drive projects, manage critical IT systems, services and infrastructure used along the entire value chain of Novo Nordisk.The PositionAsan Associate Data Analyst, you will have the opportunity your technical expertise in building highly reliable Power BI dashboards for managing and transforming data from various structured and unstructured data sources. You will be entrusted with the below responsibilities::Work in a fast:paced environment, and responsible for taking vague requirements and transforming them into robust solutions.:Operate business processes on a periodic basis, including but not limited to configuring business rules, synthesizing data and performing quality checks.:Creating and delivering Power BI dashboards and reports, evaluating and providing professional feedback on design and architectures of other developers based out of different regions.:Work directly with the business stakeholders, project and platform teams to enable growth and support our field and back:office users in International Operations Commercial Supply Chain (IOCSC).Qualifications :Master's or bachelor's degree in relevant field with minimum 3 years of experience in creating and maintaining Power BI dashboards and Analytics.:Experience in handling data, data transformations, building data models, visualizations and have worked with Data Engineering and Advanced Analytics teams.:Good to have understanding on end:to end Supply Chain process and the data generated at each node.:Experience in developing and maintaining KPI's and metrics to measure the operational performance.:Must have strong analytical and data handling skills (Alteryx, SQL preferred); BI and visualization skills (Power BI and Tableau preferred).:Good to have certification in related fields like Power BI, SaFe Agile, ASCM CIPM and others and exposure in Python/Pyspark.:Self:driven and team player.Working at Novo NordiskNovo Nordisk is its people. We know that life is anything but linear and balancing what is important at different stages of our career is never easy. That's why we make room for diverse life situations, always putting people first. We value our employees for the unique skills they bring to the table, and we work continuously to bring out the best in them. Working at Novo Nordisk is working towards something bigger than ourselves, and it's a collective effort. Novo Nordisk relies on the joint potential and collaboration of its more than 40,000 employees. Together, we go further. Together, we're life changing. ContactTo submit your application, please upload your CV online (click on Apply and follow the instructions).Deadline26 April 2024We commit to an inclusive recruitment process and equality of opportunity for all our

Job DescriptionData Analyst will be part of the India Digital Operations Center and will be responsible for developing organization wide solutions that enables extraction of Insights from Data. This includes Integration of data from various Data sources across organization functions, develop data Models using different state of the art ETL tools, develop visualization using BI tools for KPIs enabling data driven decision making. Critical to success will also be requirements for the person to recommend ways to improve quality, reliability, and efficiency of the Grace.Responsibilities:Understand business use of data and stakeholder requirements to support work processes and strategic business objectives.:Leverage data, software engineering, and data science techniques to create business value through data accessibility.:Develop data:driven decisions and insights using predictive models to support grace operations and monitor the performance of assets as a function of parametric adjustment for manufacture excellence.:Analyze large volumes of internal and external data using common data science tools (Python, SQL/NoSQL etc.) and various ML Models to deliver valuable insights for operational excellence.:Effectively summarize and communicate complex analytic results to a variety of audience. Required Experience :Practical experience in data mining, techniques for data cleaning, transformation, acquisition, preparation, and validation.:Strong knowledge and practical experience in handling large volume datasets using any programming languages such as Python, SQL, and other scripting languages.:Comprehensive Understanding/expertise of databases and relational database management systems (RDBMS), particularly skilled at SQL querying for efficient data retrieval, management, and analysis.:Capacity to analyze and interpret massive datasets, extracting meaningful insights and identifying valuable trends and patterns.:Demonstrated experience in creating powerful visualizations using BI tools, such as Tableau/Power BI/ SAC to effectively communicate insights and facilitate data:driven decision:making.:Proficiency in advanced Excel functionalities, including PivotTables, VLOOKUP, and complex data manipulation techniques for insightful data analysis and visualization.:Demonstrated expertise in advanced analytics and statistical modeling during academic or post academics projects.:Experience in communicating insights clearly and persuasively to diverse stakeholders.Preferred Experience:Experience or Familiarity with cloud environments, especially data lake and data warehousing concepts, with a preference for Google Cloud experience.:Strong grasp of advanced statistical techniques such as Decision Trees, regression, and correlation.:Experience implementing AI/ML/DL models using Python and libraries like Pandas, NumPy, Scikit:learn.:Hands:on experience with handling time series data and time series forecasting.:Exposure to SAP Modules and maintenance process improvement KPIsRequired Qualification:B.E/B.Tech/M.Tech in Chemical Engineering with a demonstrated interest in Data Analytics, or B.E/B.Tech in Computer Science with a minimum of 1 year of prior experience in the Chemical/Manufacturing/Process industry.Required Skills:Strong written and verbal communication skills:Strong analytical and problem:solving skills.:Strong interpersonal skills needed to manage and collaborate with multiple internal resources within the Grace organization and external resources, including management of vendor relationships.:Outstanding analytical skills including financial business case creation.:Ability to quickly learn details of Grace's chemical processes and identify the impact of automation improvements on the cost, quality, and safety of the manufacturing operation.