software engineer

business analyst

data analyst

analyst

analyst - seo

analyst engineer

<div>
 At EY, we&rsquo;re all in to shape your future with confidence.
 
 
 We&rsquo;ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
 
 
 Join EY and help to build a better working world.
 
 
 
 Analyst Engineer
 
 
 
 Enterprise Technology provides reliable, secure and resilient technology services and solutions to support over 300,000 EY people. As part of Enterprise Technology, you&rsquo;ll be at the forefront of enabling innovative technologies including emerging collaboration tools and world-class technology infrastructure.
 
 
 Our aim is to build an outstanding customer experience with clear investment in innovation, alongside operational excellence that delivers efficient, quality services and solutions. You will work with technologists and business specialists to meet the increasing pace of our business. That means more growth for you, exciting learning opportunities, career choices, and the chance to make a real impact.
 
 
 
 The opportunity
 
 
 
 This role is responsible for delivering IT products to schedule, budget and quality. This role requires knowledge and expertise in the Microsoft stack of technical solutions including but not limited to: Microsoft Visual Studio, Microsoft .NET Framework, Microsoft SQL Server. The role must have adequate technical skills to successfully deliver quality code in a teaming environment.
 
 
 
 Your Key Responsibilities
 
 
 
 The candidate should have expertise in developing/enhancing technology solutions. The development platforms include but not limite to: coding for SharePoint farm, coding in the .NET framework and development of SSIS packages, writing Power BI and/or SSRS reports and writing scripting for custom components. The candidate will work in a team environment delivering user stories which are assigned in a timely manner. The candidate will participate in all aspects of the delivery cycle from sprint planning through release. The candidate will be expected to deliver quality, robust code which performs well and has the ability to scale as needed.
 
 
 
 Skills And Attributes For Success
 
 
 
 <ul>
 <li>
 IT background with experience across the systems development life cycle using Agile methodology
 </li>
 <li>
 Expertise in technology development that includes coding, testing, scripting, custom components and various common tools/tasks
 </li>
 <li>
 Experience of implementing solutions with personal accountability for delivering on-time
 </li>
 <li>
 Excellent written and verbal communication skills &ndash; must be able to communicate fluently in English both verbally and in writing
 </li>
 <li>
 Strong team working skills across client, supplier and geographically dispersed virtual teams
 
 
 </li>
 </ul>
 
 To qualify for the role you must have
 
 
 
 <ul>
 <li>
 .NET skills (C#.NET, ASP.NET, MVC, Windows Service
 </li>
 <li>
 SharePoint skills (Server Object Model, JSOM/CSOM, SharePoint REST API, PHA, SHA)
 </li>
 <li>
 Database skills (SQL Server, stored procedures, views, functions, T-SQLs, SSIS, SSAS)
 </li>
 <li>
 Reporting skills (Power BI, Power Query, SSRS)
 </li>
 <li>
 Client Web Technology (JavaScript, CSS, Bootstrap, JQuery, NodeJS, AngularJS, HTTP REST calls)
 
 
 </li>
 </ul>
 
 Ideally, you&rsquo;ll also have
 
 
 
 <ul>
 <li>
 Project Server Skills (Project Server JSOM/CSOM, SharePoint REST API, PDPs, Project objects)
 </li>
 <li>
 Proactively identify risks/issues with deliverables and communicate how to mitigate
 </li>
 <li>
 Demonstrates commitment to IT methodologies, processes and standards
 
 
 </li>
 </ul>
 
 What We Look For
 
 
 
 The candidate should be a self-starter with the ability to work independently as well as in a team environment. The candidate should have effective communication skills where ideas are presented in a clear, concise manner. The candidate should have good analytical and problem solving skills to manage multiple factors on a project simultaneously. The role requires the ability to multi-task using Agile Methodology.
 
 
 
 What Working At EY Offers
 
 
 
 We offer a competitive remuneration package where you&rsquo;ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer:
 
 
 <ul>
 <li>
 Support, coaching and feedback from some of the most engaging colleagues around
 </li>
 <li>
 Opportunities to develop new skills and progress your career
 </li>
 <li>
 The freedom and flexibility to handle your role in a way that&rsquo;s right for you
 
 
 </li>
 </ul>
 
 EY | Building a better working world
 
 
 
 EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
 
 
 Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
 
 
 EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
</div>

Analyst Engineer

Chevron

<div>
 
 About The Position
 
 
 
 A Data Analyst is responsible for gathering, analyzing and problem solving as it relates to data, types of data, and relationships among data elements within a business system or IT system and with business domain expertise. A Data Analyst provides expertise on how Business workflows map to data, and how data can be integrated to build reusable data products. A Data analyst will serve as a subject matter expert for delivery teams.
 
 
 The Data Analyst will support the analysis and visualization of data to provide valuable insights that drive business decisions. This role requires a strong understanding of data processing, reporting, and visualization tools, as well as a good working knowledge of Microsoft Azure Services and Power Platform. The ideal candidate will have hands-on experience with data modeling, creating dashboards, and leveraging cloud technologies for data management.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Analyze data to extract meaningful insights, trends, and patterns that can support decision-making across the organization.
 </li>
 <li>
 Develop and maintain dashboards and visualizations using Power BI, Spotfire, and Tableau to present data insights in an easy-to-understand format for stakeholders.
 </li>
 <li>
 Work with Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database to store, transform, and retrieve data efficiently.
 </li>
 <li>
 Assist in data preparation, cleaning, and integration activities for analysis, ensuring high data quality.
 </li>
 <li>
 Collaborate with data engineers, business stakeholders, and IT teams to understand data requirements and contribute to the delivery of data-driven solutions.
 </li>
 <li>
 Leverage Power Platform tools to automate tasks, create workflows, and enhance data analysis processes.
 </li>
 <li>
 Provide support for ongoing analysis and maintain documentation for data processes, reports, and dashboards.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Experience: Overall 2-4 years of experience with 2 years of proven experience in data analysis, data visualization, or related fields.
 </li>
 <li>
 Bachelor's degree in Data Analytics, Computer Science, Statistics, or a related field (or equivalent experience).
 </li>
 <li>
 0-5 years experience
 </li>
 <li>
 Technical Skills:
 </li>
 <li>
 Proficiency in Microsoft Azure services, including Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database.
 </li>
 <li>
 Experience in data visualization tools such as Power BI, Spotfire, and Tableau.
 </li>
 <li>
 Strong skills in data manipulation and transformation using SQL.
 </li>
 <li>
 Familiarity with the Microsoft Power Platform, including Power Apps, Power Automate, and Power BI.
 </li>
 <li>
 Proficiency in data visualization tools such as Power BI, Spotfire, Tableau. Data modeling techniques, data fluency and governance.
 </li>
 <li>
 Proficiency in Oil &amp; gas workflows and data types
 </li>
 <li>
 Data Analysis: Understanding of data analysis concepts and experience in data modeling and building insightful reports.
 </li>
 <li>
 Problem Solving: Strong analytical and problem-solving skills, with attention to detail.
 </li>
 <li>
 Communication Skills: Ability to communicate complex data findings in a clear and concise manner to non-technical stakeholders.
 </li>
 <li>
 Team Collaboration: Ability to work effectively as part of a team, sharing knowledge, and supporting other team members.
 </li>
 <li>
 Excellent communication and collaboration skills with demonstrated ability to build trusted working relationships with remote peers and stakeholders (internal &amp; external parties) across global teams and time zones.
 </li>
 <li>
 Strong knowledge of Microsoft Azure Services &amp; Power Platform, including Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database.
 </li>
 <li>
 Experience with SQL and data querying languages.
 </li>
 <li>
 Experience with Python for data wrangling.
 </li>
 <li>
 Strong analytical and problem-solving skills with attention to detail and accuracy
 </li>
 <li>
 Fundamental knowledge of Information Risk Management (IRM).
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Microsoft Power BI Data Analyst certification (PL-300)
 </li>
 <li>
 Ability to discover and prepare datasets into clean, understandable, usable, datasets for data analysis.
 </li>
 <li>
 Cloud Certifications: Certifications in Microsoft Azure (e.g., Azure Data Fundamentals, Azure Data Engineer Associate) are preferred.
 </li>
 <li>
 Experience with ETL Tools: Exposure to ETL tools and data integration techniques.
 </li>
 <li>
 Advanced Analytics: Experience or knowledge of machine learning or advanced analytics is a plus.
 </li>
 <li>
 Scripting Languages: Basic understanding of scripting languages such as Python or R for data analysis.
 
 
 </li>
 </ul>
 Chevron ENGINE supports global operations, supporting business requirements across the world. Accordingly, the work hours for employees will be aligned to support business requirements. The standard work week will be Monday to Friday. Working hours are 8:00AM to 5:00PM or 1:30PM to 10:30PM.
</div>

Data Analyst

Infosys

<div>
 
 
 Role Summary
 
 
 
 We are seeking an experienced
 
 Life Cycle Engineer / Life Cycle Analyst
 
 with strong expertise in
 
 reliability analysis
 
 ,
 
 lifecycle cost modeling
 
 , and
 
 technical investigations
 
 for aerospace systems. This role involves supporting
 
 airline operators
 
 , conducting
 
 event and safety investigations
 
 , and driving
 
 design improvements
 
 through data-driven insights.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Provide
 
 technical responses
 
 to
 
 airline operators
 
 and conduct
 
 event investigations
 
 and
 
 safety reviews
 
 .
 </li>
 <li>
 Perform
 
 technical analysis
 
 and
 
 root cause analysis
 
 to support
 
 long-term solutions
 
 and
 
 corrective actions
 
 .
 </li>
 <li>
 Participate in
 
 Event Management Boards
 
 and
 
 Safety Review Boards
 
 (e.g., Rolls-Royce) and present cases effectively.
 </li>
 <li>
 Identify and implement
 
 process improvements
 
 and
 
 tools
 
 within the domain of expertise.
 </li>
 <li>
 Conduct
 
 reliability analysis
 
 and
 
 lifecycle cost analysis
 
 using advanced tools to analyze
 
 failure trends
 
 and predict
 
 failure probability
 
 .
 </li>
 <li>
 Apply
 
 probability distribution functions
 
 such as
 
 Weibull distribution
 
 for predictive modeling.
 </li>
 <li>
 Influence
 
 design teams
 
 using
 
 lifecycle cost analysis
 
 to improve
 
 engine time-on-wing
 
 and
 
 shop visit cost models
 
 .
 </li>
 <li>
 Utilize
 
 in-service experience
 
 and predictive methods to deliver
 
 service cost reductions
 
 .
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications &amp; Skills
 
 
 <ul>
 <li>
 
 Technical degree
 
 (AME / BE / B.Tech / ME / M.Tech) in
 
 Aerospace
 
 ,
 
 Aeronautical
 
 ,
 
 Mechanical Engineering
 
 , or equivalent industrial experience.
 </li>
 <li>
 Strong knowledge of
 
 gas turbine functionality
 
 , components, and systems with full consideration of
 
 form, fit, and function
 
 .
 </li>
 <li>
 Proficiency in
 
 Microsoft Excel
 
 and
 
 Word
 
 for data analysis and reporting.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 Experience in
 
 reliability engineering
 
 ,
 
 failure analysis
 
 , and
 
 cost modeling
 
 .
 </li>
 <li>
 Familiarity with
 
 probability distribution functions
 
 and
 
 predictive analytics
 
 .
 </li>
 <li>
 Ability to work with
 
 cross-functional teams
 
 and influence
 
 design improvements
 
 .
 </li>
 </ul>
 
 
</div>

Life Cycle Engineer - Aerospace

Kuku FM

<div>
 
 About The Role
 
 
 
 We are looking for a detail-oriented Data Analyst to join our core AI/ML team. The ideal candidate will work closely with the AI/ML Lead, business teams, and other verticals to prepare high-quality datasets, generate insights, build basic statistical/heuristic models, and support ongoing ML initiatives. This role is perfect for someone who enjoys combining strong analytical skills with hands-on data work and business understanding.
 
 
 Key Responsibilities
 
 
 Data Preparation &amp; Analysis
 
 
 <ul>
 <li>
 Collect, clean, prepare, and structure data for ML training and analytical use cases.
 </li>
 <li>
 Perform exploratory data analysis (EDA) to identify trends, patterns, outliers, and data issues.
 </li>
 <li>
 Build and maintain dashboards, KPIs, and reports for product and business teams.
 
 
 </li>
 </ul>
 Support for ML Team
 
 
 <ul>
 <li>
 Work with the ML Lead to generate feature datasets, validate data assumptions, and evaluate model outputs.
 </li>
 <li>
 Build basic heuristic rules, logistic regression models, and preliminary statistical models when required.
 </li>
 <li>
 Conduct data validations, labeling assistance, and sampling for ML experiments.
 
 
 </li>
 </ul>
 Cross-Functional Collaboration
 
 
 <ul>
 <li>
 Engage with business stakeholders, product managers, and operations teams to translate requirements into data deliverables.
 </li>
 <li>
 Communicate insights and findings in a clear, structured manner to technical and non-technical teams.
 </li>
 <li>
 Act as a central resource for data-driven decision-making across multiple verticals.
 
 
 </li>
 </ul>
 Data Quality, Governance &amp; Documentation
 
 
 <ul>
 <li>
 Ensure data accuracy, consistency, and completeness across datasets.
 </li>
 <li>
 Maintain clear documentation of data sources, definitions, and processes.
 </li>
 <li>
 Work with engineering teams to fix broken pipelines, incorrect metrics, or data anomalies.
 
 
 </li>
 </ul>
 
 Required Technical Skills
 
 
 
 <ul>
 <li>
 1&ndash;3 years of experience as a Data Analyst, Business Analyst, or Associate Data Scientist.
 </li>
 <li>
 Strong hands-on skills in:
 </li>
 <ul>
 <li>
 SQL (advanced level)
 </li>
 <li>
 Python (Pandas, NumPy, basic scikit-learn)
 </li>
 <li>
 Excel/Google Sheets
 </li>
 </ul>
 <li>
 Experience with BI tools such as Superset
 </li>
 <li>
 Solid understanding of:
 </li>
 <ul>
 <li>
 Descriptive statistics
 </li>
 <li>
 Basic probabilistic models
 </li>
 <li>
 Logistic regression, clustering concepts
 </li>
 </ul>
 <li>
 Ability to work with large datasets and perform efficient data wrangling.
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Exposure to ML pipelines, feature engineering, or model evaluation basics.
 </li>
 <li>
 Familiarity with A/B testing, experiments, hypothesis testing.
 </li>
 <li>
 Experience with data warehousing tools (BigQuery, Databricks, Snowflake).
 </li>
 <li>
 Basic familiarity with heuristic-based decision systems or rule engines.
 </li>
 <li>
 Knowledge of scripting automation for recurring reports.
 </li>
 <li>
 Understanding of business domains like content, fintech, OTT, growth, or operations.
 
 
 </li>
 </ul>
 
 Preferred Tools &amp; Technologies
 
 
 
 Data Tools: SQL,Python, Pandas, NumPy
 
 
 Visualization: Tableau, Power BI, Looker
 
 
 ML Basics: Scikit-learn, Statsmodels
 
 
 Data Warehousing: BigQuery, Databricks, Athena
 
 
 Workflow: Airflow
 
 
 Version Control: Git
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s degree in Data Science, Statistics, Engineering, Computer Science, Economics, or related fields.
 </li>
 <li>
 Certifications in data analysis, SQL, or ML fundamentals are a plus.
 
 
 </li>
 </ul>
 What We Offer
 
 
 <ul>
 <li>
 Opportunity to work closely with a high-performing AI/ML team.
 </li>
 <li>
 Opportunity to transition into a ML engineer based on skill set, learning curve and performance.
 </li>
 <li>
 Exposure to end-to-end ML lifecycle: data prep &rarr; experimentation &rarr; deployment.
 </li>
 <li>
 Work on diverse problem statements across multiple business verticals.
 </li>
 <li>
 Competitive compensation and benefits package.
 </li>
 <li>
 A collaborative and growth-driven environment.
 
 
 </li>
 </ul>
 Success Metrics
 
 
 <ul>
 <li>
 Delivery of clean, well-structured datasets for ML model development.
 </li>
 <li>
 Improved data quality, reduced errors, and reliable metric reporting.
 </li>
 <li>
 Clear, actionable insights delivered to business and product teams.
 </li>
 <li>
 Efficient support for ML workflows (feature generation, sampling, validation).
 </li>
 <li>
 Strong documentation and repeatable processes for analytics.
 
 
 </li>
 </ul>
 
 About KUKU
 
 
 
 Founded in 2018, KUKU is India&rsquo;s leading storytelling platform, offering a vast digital library of audio stories, short courses, and microdramas. KUKU aims to be India&rsquo;s largest cultural exporter of stories, culture, and history to the world with a firm belief in &ldquo;Create In India, Create For The World&rdquo;.
 
 
 We deliver immersive entertainment and education through our OTT platforms: Kuku FM, Guru, Kuku TV, and more. With a mission to provide high-quality, personalized stories across genres from entertainment across multiple formats and languages, KUKU continues to push boundaries and redefine India&rsquo;s entertainment industry.
 
 
 🌐 Website: www.kukufm.com
 
 
 📱 Android App: Google Play
 
 
 📱 iOS App: App Store
 
 
 🔗 LinkedIn: KUKU
 
 
 
 📢 Ready to make an impact? Apply now!
 
 
 
 Skills: numpy,sql,airflow,pandas,bigquery,python,data analysis,advanced excel skills,tableau software,git,microsoft power bi,databricks
</div>

Data Analyst - AI & ML

LTIMindtree

<div>
 
 Job Title: EHS / EMS Management System Implementation Consultant
 
 
 
 
 
 Location - Bangaluru
 
 
 
 Must - Hands on Experience on Tools like - Sphera and Cority.
 
 
 
 
 
 
 Must - Past experience as a Data Engineer or Data Analyst.
 
 
 
 
 
 Work as part of teams that lead through the lifecycle of Cority EMS/Enviance configuration and deployment This includes working with businesses to understand, refine and document their needs and requirements in design specification, supporting configuration teams, conducting system testing, creating strategies, and executing system integration and data migration plans and final system preparation for go-live.
 
 
 
 
 
 Serve in a configuration and deployment role for Cority EMS systems and tools. Provide strategic advice and direction to businesses on best practices for system design and configuration. Work directly with clients when defining and confirming their specific requirements.
 
 
 Engage in all life cycle stages of project execution; Implement Cority EMS/Enviance for businesses, assisting with system configuration, integration, training, rollout, support, maintenance, enhancement and improvements as required to meet overall business objectives.
 
 
 Configure/deploy environmental health, safety and sustainability solutions - Cority EMS/Enviance; specific activities include drafting and publishing system design documents, configuring technical specifications and components within the solution, analyzing/migrating data, and developing custom reports/dashboards and automated interfaces.
 
 
 Configuration of commercial off-the-shelf EHS&amp;S software (Cority EMS/Enviance)
 
 
 Create project documentation:
 
 
 Design specifications.
 
 
 Quality assurance and testing templates.
 
 
 Training guides.
 
 
 
 
 
 Qualifications &amp; Experience:
 
 
 7-10 years of experience working within and configuring EHS&amp;S with Environmental, Health, Safety and Sustainability software solutions including Cority EMS/Enviance
 
 
 
 
 
 
 Experience with some of the following domains: air emissions, greenhouse gas emissions, environment, health and safety, sustainability
 
 
 
 
 
 
 Ability to work independently and as part of a team in a fast-paced environment.
 
 
 Problem-solving skills and a strong analytical mind.
 
 
 
 
 
 Background in PowerBI and PowerApps is a plus
 
 
 
</div>

EHS Management System Implementation Consultant

Annalect India

<div>
 
 Location: Hyderabad, Chennai, Bangalore, Coimbatore
 
 
 
 
 
 Experience: 7-8 years
 
 
 
 
 
 Overview:
 
 
 
 
 
 We are an integral part of Omnicom Group, one of the largest media and advertising agencies holding companies in the world. Omnicom&rsquo;s branded networks and numerous specialty firms provide advertising, strategic media planning and buying, digital and interactive marketing, direct and promotional marketing, public relations, and other specialty communications services. Our agency brands are consistently recognized as being among the world&rsquo;s creative best.
 
 
 
 
 
 Omnicom Global Solutions plays a key role for our group companies and global agencies by providing stellar products and services in areas of Creative Services, Technology, Marketing Science (data &amp; analytics), Market Research, Business Support Services, Media Solutions, Consulting &amp; Advisory Services. We are growing rapidly and looking for talented professionals like you to be part of this journey. Let us build this, together.
 
 
 
 
 
 Responsibilities
 
 
 
 
 <ul>
 <li>
 Managing day-to-day technical relationships with top-tier ad agencies, brands, and media partners
 </li>
 <li>
 Prepping, launching, and maintaining technical aspects of all campaigns
 </li>
 <li>
 Finalize consideration sets, help Analyst/Sr. Analyst to craft RFPs and work with the team to review all proposals from publishers/vendors
 </li>
 <li>
 Lead and oversee Analyst/Sr. Analyst to ensure campaign readiness to launch, campaigns are executed with excellence and plans stay within approved budget
 </li>
 <li>
 Keep abreast of industry trends and assist in knowledge sharing across the team and agency
 </li>
 <li>
 Lead the creation of POVs where necessary of new opportunities and/or vendor updates along with the Manager
 </li>
 <li>
 Assist in reconciliation of discrepant billing issues
 </li>
 <li>
 Serve as an escalation point for Analyst/Senior Analyst to help troubleshoot operational issues
 </li>
 <li>
 Lead by example while developing, motivating, and coaching the Analyst /Senior Analyst.
 </li>
 </ul>
 
 
 
 
 Qualifications
 
 
 
 
 <ul>
 <li>
 A full-time graduate degree (Mandatory)
 </li>
 <li>
 7 to 8 years of experience in digital campaign management and team supervision
 </li>
 <li>
 Excellent verbal and written communication abilities
 </li>
 <li>
 Attention to detail coupled with exceptional critical thinking and problem-solving skills
 </li>
 <li>
 Proficiency in Microsoft Excel, Word, and PowerPoint
 </li>
 <li>
 Familiarity with Prisma and third-party ad servers (e.g., CM 360, Adform, Flashtalking, etc.)
 </li>
 <li>
 Capability to multi-task, collaborate effectively with teams, and perform under pressure
 </li>
 <li>
 Outstanding time management skills
 </li>
 <li>
 Strong leadership abilities.
 </li>
 </ul>
 
 
</div>

Ad operations - Associate Manager

Amazon

<div>
 
 Description
 
 
 
 We are seeking an experienced Business Analyst to own strong and complex analytics and to bring in comprehensive deep dives to help drive the growth of the business.
 
 
 The candidate should have experience working with large scale data, building deep dive reports, dynamic visualizations and dashboards for end-user consumption. Moreover, the candidate should have the ability in using advance excel, knowledge about some scripting language and statistics, to drive complex insights and analyses. Our ideal candidate thrives in a fast-paced environment, enjoys the challenge of highly complex business scenarios and is passionate about data and analytics. To be successful in this role you will need to have excellent analytical, data warehousing and communication skills.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Interfacing with business customers, gathering requirements and developing complex analytics model and data-sets for deep dive
 </li>
 <li>
 Identifying the data quality issues across the various platforms at Amazon
 </li>
 <li>
 Extracting and combining data from various heterogeneous data sources
 </li>
 <li>
 Design and build data visualization tools to provide scalable solution for self-service metrics reporting
 </li>
 <li>
 Partnering with other analysts and engineers to build analytical solutions to deliver on business goals
 </li>
 <li>
 Propose and implement new business metrics for senior management reviews and work with the business intelligence engineer to design and develop data infrastructure to support these metrics for business growth
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 3+ years of tax, finance or a related analytical field experience
 </li>
 <li>
 Bachelor's degree or equivalent
 </li>
 <li>
 Experience with SQL
 </li>
 <li>
 Experience defining requirements and using data and metrics to draw business insights
 </li>
 <li>
 Experience with one or more analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI)
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with AWS services including S3, Redshift, EMR and RDS
 </li>
 <li>
 Knowledge of a scripting language (Python, R, etc.)
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI - Karnataka
 
 
 Job ID: A3131324
</div>

Business Analyst I

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