888 Data Mining Jobs - Page 17

Urgent Hiring for Data Engineers Job Location: Lucknow (On-Site) Exp - 4+ yrs (relevant) Salary range: 15 lpa - 18 lpa No.of open positions : 10 Immediate joiners are only required Job Overview: We are seeking experienced Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, building, and maintaining large-scale data systems and pipelines. You will work closely with our data science team to prepare data for prescriptive and predictive modeling, ensuring high-quality data outputs. Key Responsibilities: - Analyze and organize raw data from various sources - Build and maintain data systems and pipelines - Prepare data for prescriptive and predictive modeling - Combine raw information from different sources to generate valuable insights - Enhance data quality and reliability Requirements : - 4+ years of experience as a Data Engineer or in a similar role - Technical expertise in data models, data mining, and segmentation techniques - Experience with Cloud data technologies (Azure Data Factory, Databricks) - Knowledge of CI/CD pipelines and Jenkins - Strong programming skills in Python - Hands-on experience with SQL databases

Mandatory Skills – Java OR Python, SQL OR Oracle Exp – 4 to 10 Yrs 28 LPA CTC 4+ yrs working with advanced statistical methods such as regressions, classifiers, recommenders, anomaly detection, optimization algorithms, tree methods, neural nets, etc Required Candidate profile 2+ years with relational or NoSQL databases Dev and imp. of data mining protocols, architectures, and models as well as data analysis methodologies, used to identify trends in large data sets 28 LPA

Grade IResponsible for supporting the delivery of business analysis and consulting processes and procedures for the defined specialism using basic technical capabilities, developing working relationships to provide support with queries, issues and ad-hoc requests and assisting with quality assurance services. Specialisms: Business Analysis; Data Management and Data Science; Digital Innovation. Entity: Technology IT&S Group Job Description: You will work with Being part of a digital delivery data group supporting bp Solutions, you will apply your domain knowledge and familiarity with domain data processes to support the organisation. Part of bp s Production & Operations business, bp Solutions has hubs in London, Pune, and Houston. The data team provides daily operational data management, data engineering and analytics support to this organisation across a broad range of activity from facilities and subsea engineering to logistics. Let me tell you about the role A data analyst collects, processes, and performs analyses on a variety of datasets. Their key responsibilities include interpreting complex data sets to identify trends and patterns, using analytical tools and methods to generate actionable insights, and creating visualizations and reports to communicate those insights and recommendations to support decision-making. Data analysts collaborate closely with business domain stakeholders to understand their data analysis needs, ensure data accuracy, write and recommend data-driven solutions and solve value impacting business problems. You might be a good fit for this role if you: have strong domain knowledge in at least one of; facilities or subsea engineering, maintenance and reliability, operations, logistics. Strong analytical skills and demonstrable capability in applying analytical techniques and Python scripting to solve practical problems. are curious, and keen to apply new technologies, trends & methods to improve existing standards and the capabilities of the Subsurface community. are well organized and self-motivated, you balance proactive and reactive approaches and across multiple priorities to complete tasks on time. apply judgment and common sense - you use insight and good judgment to inform actions and respond to situations as they arise. What you will deliver Be a bridge between asset teams and Technology, combining in-depth understanding of one or more relevant domains with data & analytics skills Provide actionable, data-driven insights by combining deep statistical skills, data manipulation capabilities and business insight. Proactively identify impactful opportunities and autonomously complete data analysis. You apply existing data & analytics strategies relevant to your immediate scope. Clean, pre-process and analyse both structured and unstructured data Develop data visualisations to analyse and interrogate broad datasets (e.g. with tools such as Microsoft PowerBI, Spotfire or similar). Present results to peers and senior management, influencing decision making What you will need to be successful (experience and qualifications) Essential MSc or equivalent experience in a quantitative field, preferably statistics. have strong domain knowledge in at least one of; facilities or subsea engineering, maintenance and reliability, operations, logistics. Hands-on experience carrying out data analytics, data mining and product analytics in complex, fast-paced environments. Applied knowledge of data analytics and data pipelining tools and approaches across all data lifecycle stages. Deep understanding of a few and a high-level understanding of several commonly available statistics approaches. Advanced SQL knowledge. Advanced scripting experience in R or python. Ability to write and maintain moderately complex data pipelines. Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail. Excellent communication and interpersonal skills, with the ability to effectively communicate ideas, expectations, and feedback to team members, stakeholders, and customers. Foster collaboration and teamwork Desired Advanced analytics degree. Experience applying analytics to support engineering turnarounds Experience with big data technologies (e.g. Hadoop, Hive, and Spark) is a plus. About bp Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner! Travel Requirement Up to 10% travel should be expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is a hybrid of office/remote working Skills:

Grade JResponsible for supporting the delivery of business analysis and consulting through assisting with a variety of activities including documenting queries, issues and ad-hoc requests that in support of development of business cases that may be converted into deliverable IT solutions and /or IT projects. Entity: Technology IT&S Group Job Description: You will work with You will be part of the P&O data group, you will apply your domain knowledge and familiarity with domain data processes to support the P&O organisation and HSE teams. The team provides daily operational data management, data engineering and analytics support to this organisation across a broad range of disciplines and applications. Specifically within the HSE area this includes: safety, health and environment, risk management, incident reporting, compliance and emissions reporting. Let me tell you about the role A data analyst collects, processes, and performs analyses on a variety of datasets. Their key responsibilities include interpreting complex data sets to identify trends and patterns, using analytical tools and methods to generate actionable insights, and crafting visualizations and reports to communicate those insights and recommendations to support decision-making. Data analysts collaborate closely with business domain collaborators to understand their data analysis needs, ensure data accuracy, write and recommend data-driven solutions and begin value impacting business problems. What you will deliver Have an understanding of applying analytics in one or more key areas within the health, safety and environment domain e.g. causal analysis, predictive analytics etc. Provide actionable, data-driven insights by combining deep statistical skills, data manipulation capabilities and business insight. Proactively identify impactful opportunities and complete data analysis. Clean, pre-process and analyse both structured and unstructured data Develop data visualisations to analyse and interrogate broad datasets (e.g. with tools such as Microsoft PowerBI, Spotfire or similar). What you will need to be successful (experience and qualifications) Essential Bachelor s degree or equivalent experience in a quantitative field, preferably statistics. Experience working within safety, health, environmental or risk management & reporting domains including root cause analysis, causal analysis and predictive analytics. Hands-on experience carrying out data analytics, data mining and product analytics in sophisticated, fast-paced environments. Applied knowledge of data analytics and data pipelining tools and approaches across all data lifecycle stages. Deep understanding of a few and a high-level understanding of several commonly available statistics approaches. Ability to use SQL to write queries. Scripting experience in R or python. Ability to write and maintain data pipelines. Customer-centric and pragmatic attitude. Focus on value delivery and swift execution, while maintaining attention to detail. Good communication and social skills, with the ability to effectively communicate ideas, expectations, and feedback to team members, collaborators, and customers. Cultivate collaboration and partnership Desired Advanced analytics degree NEBOSH qualification Experience with Data technologies (e.g. Hadoop, Hive, and Spark) is a plus. About bp Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner! Travel Requirement Up to 10% travel should be expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is a hybrid of office/remote working Skills:

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At McCormick, we bring our passion for flavor to work each day. We encourage growth, respect everyones contributions and do whats right for our business, our people, our communities and our planet. Join us on our quest to make every meal and moment better. Founded in Baltimore, MD in 1889 in a room and a cellar by 25-year-old Willoughby McCormick with three employees, McCormick is a global leader in flavour. With over 14,000 employees around the world and more than $6 Billion in annual sales, the Company manufactures, markets, and distributes spices, seasoning mixes, condiments and other flavourful products to the entire food industry, retail outlets, food manufactures, food service businesses and consumers. While our global headquarters are in the Baltimore, Maryland, USA area, McCormick operates and serves customers from nearly 60 locations in 25 countries and 170 markets in Asia-Pacific, China, Europe, Middle East and Africa, and the Americas. At McCormick, we have over a 100-year legacy based on our Power of People principle. This principle fosters an unusually dedicated workforce requiring a culture of respect, recognition, inclusion and collaboration based on the highest ethical values. Position Overview This role will be responsible for applying data mining techniques, completing statistical analysis, building predictive models, and visualizing data to solve problems and shape strategies for the global business. Effective communication skills, organization, time management, and a will to learn current business processes are essential. Key Responsibilities Translate data & analytics into business insights by working with global leaders and regional supply chain teams. Select features and build models using machine learning techniques. Enhance data collection procedures to include information that is relevant for building analytic systems. Continuously seek out industry best practice and skills to develop new capabilities for data analytics at McCormick and help drive our digitalization strategy. Process, cleanse, and verify the integrity of data used for analysis. Improve, standardize, and automate current business processes. Required Qualifications & Experience Bachelor s degree in Mathematics, Statistics, Engineering, Data Analytics/Science, or related field. Advanced analytical skillset. Proficiency in cleaning, visualizing, analyzing, and presenting insights from data sets Ability to connect the dots between complex data/analytics and business application Understanding of concepts, principles, and practices in Supply Chain Experience coding in one or more languages (Python / R preferred) Experience with data visualization software (Tableau preferred) Demonstrated ability to build statistical models Demonstrated ability to manage multiple priorities simultaneously Extensive experience with Microsoft Office (Excel, PowerPoint, Access, Etc.) WHY WORK AT MCCORMICK? United by flavor. Driven by results. As a McCormick employee you ll be empowered to focus on more than your individual responsibilities. You ll have the opportunity to be part of something bigger than yourself to have a say in where the company is going and how it s growing. Between our passion for flavor, our 130-year history of leadership and integrity, the competitive and comprehensive benefits we offer, and our culture, which is built on respect and opportunities for growth, there are many reasons to join us at McCormick.

Job Description: The Assistant Manager, FP&A position will be based in Hyderabad , India . In this position, you will report to the Senior R&D FP&A Manager. Watch Culture is our Passion to learn more about us. We are looking for someone who demonstrates: Passionate drive to innovate and create Integrity to the core Enthusiastic customer focus Consistent interactive teamwork Desire for continuous improvement and top performance. Here is a glimpse of what you will do: Support the annual business planning process and ensure adherence to the established timeline and approach for preparation of annual plan and periodic financial forecasting for assigned locations/business lines. Manage monthly accrual process and forecast update. Generate weekly budget tracking dashboard. Enhance the month end close and forecasting procedures through strong collaboration with R&D, Operations, and accounting departments Deliver comprehensive variance analysis for all iterations of forecasts in comparison to the respective annual plan, prior forecasts, and actual results. Generate insightful reports on variances in financial results and key operational metrics, working in coordination with the accounting team and relevant functional departments. Collaborate with cross-functional teams to evaluate and optimize expenses, identify opportunities for cost reduction, and contribute to the formulation of cost-saving strategies. Develop analysis templates and financial tracking models to instil accountability across product development and Capital Expenditure (Capex) projects. Here is some of what you will need (required): Bachelor s degree in Finance, Accounting, Economics, or a related field; a Master s degree in Commerce or Professional Qualification (CPA, CFA, ACCA) is a plus. (8-10) years of professional experience in Finance and Accounting is a prerequisite with at least 5 years in Financial Planning and Analysis (FP&A). Proficiency in advanced financial modelling and data mining using tools like Excel or SQL. Strong command of accounting principles and financial reporting standards. Expertise in utilizing systems such as NetSuite or other ERPs, Hyperion, and Anaplan. A collaborative team player who excels in cross-functional environments. A deep understanding of capital expenditures and fixed assets. Flexible to work in US time zone. Here are a few of our preferred experiences Exceptional interpersonal and communication skills, enabling effective interaction with various functional leaders across the organization Ability to effectively present information and respond to questions from groups of managers and customers. Culture is our Passion

Position Reporting State Impact Sr. Specialist, Operational reporting to District Operations Lead Position Reportees Impact Associate; Data Entry Operator; Impact Trainee Vision- We aim to achieve behavioural, social and economic transformation for all girls towards an India where all children have equal opportunities to access quality education. Background- Educate Girls (a project of Foundation to Educate Girls Globally ) is a non-profit organization that focuses on mobilizing communities for girls education in India s rural and educationally backward areas. Strongly aligned with Right to Education Act or the Samagra Shiksha the organization is committed to the Government s vision to improve access to primary education for children, especially young girls. Educate Girls currently operates successfully in over 20,000+ villages in Rajasthan, Madhya Pradesh and Uttar Pradesh. By leveraging the Government s existing investment in schools and by engaging with a huge base of community volunteers, Educate Girls helps to identify, enrol and retain out-of-school girls and to improve foundational skills in literacy and numeracy for all children (both girls and boys). This helps deliver measurable results to a large number of children and avoids parallel delivery of Services. We are at www.educategirls.ngo for detailed information on our vision, mission and programs. Position Overview: The position is responsible for implementation all Monitoring & Evaluation activities in the district. The incumbent will work closely on technical aspects with State Impact Sr. Specialist to track the progress of the program on the basis of performance indicators. The incumbent will be responsible for ensuring timely collection, analysis and dissemination of all M&E data collected in the district. The position will also be responsible to support the district lead in all data analysis for decision making and train the district team on quality parameters. The position involves intense travel in operational areas especially in blocks and villages based on programmatic need. Position Key Responsibilities: Strategy, Planning and review Develop and support in district plan as well as impact function plan and plan for regular review on defined indicators Development of Impact Calendar for all impact team members Design actionable M&E micro-plans on an annual and contingent basis as per the M&E framework Plan and develop strategy for M&E implementation and course correction for assigned district. Manage the implementation of impact assessment activities in the assigned district Support to Design/development & ensure roll out of data collections where required and not available in core systems (AGP/Phase III/ COVID). Ensure roll out/implement of new tools and pilot the same as per monitoring and evaluation plan Prepare detailed and up-to-date monitoring findings and data base on the project course correction in order to obtain optimal outcomes; Supervision of monitoring activity planning and scheduling action plan for implementation of M & E activities Ensure the collection of program information on key indicators from the community, schools and other stakeholders for enhancement of the program. Uphold the quality assurance with data and program delivery for respective district and ensure timely and quick course corrections in data and activities through sharing feedback and insights to program operations. Prepare detailed and up-to-date monitoring findings and data base on the project course correction in order to obtain optimal outcomes Maintain high standards for rigor, data quality and related good practices within the intervention-based data collection and processing; Ensure updates available from start of activity and contain timely red flags and actionable insights. Coordinating with district impact staff for tracking data collection and on time data entry Verification of the data collected by field staff (as per sample) for validation Managing web-based MIS portal and mobile application for data management Process validation and spot checks of School Management Committees, Mohalla Meeting, Gram Shiksha Sabha, Bal Sabha and School Improvement Plans Monitor the field visits of district impact team for cross verification and spot checks Monthly quality monitoring updates, including QA done and insights cascaded from FC to block to district to region. Data monitor, data entry finalization and data approval and preparation done in time for internal/donor/govt reporting Responsible for preparation and compilation of Monthly Reports and present data and insights in monthly meetings at district and regional levels. Attend block level meetings for handholding of field staff Training and people development Ensure timely training of district/field staff on new processes Training of staff including volunteers on data collection, recording, reporting and data processing, functional induction etc. Build capability for remote monitoring, embed into all QM activities. Identify training needs of members of the Impact team and recommend training plans including technical and other trainings Responsible for efficiency of data collection and analysis process; and strengthening use of data to improve quality Ensure budget utilization (team travel tracking against budget) within specified limits Participation in training programs organized by Program team Support in managing donor visits/internal & external visits Ensure that all Impact unit is staffed as per planned position requirements in the district Ensure that staff appraisals are conducted for the Impact team as per periodicity specified by the organization s HR policy Support to IT team in roll out of PMS Mobile Application Support to other functions in terms of different data requirements Desired Incumbent Profile: Personality: Self-driven, result-oriented with a positive outlook and a clear focus on high quality output. Excellent conceptual and analytical skills. Demonstrable ability to think strategically, innovatively and practically to ensure achievement of desired change objectives. Proactive approach to problem-solving with strong decision-making capability. Strong organizational skills that reflect ability to perform and prioritize multiple tasks seamlessly with excellent attention to detail. Strong interpersonal skills and the ability to build relationships with multiple stakeholders. Empathic communicator, ability to see things from the other persons point of view. Ability to get along with variety of individuals and a team-player Sufficiently mobile and flexible to manage intense travel in operational areas especially in blocks and villages which could amount to 50-60% of the time based on programmatic need. Work Life Balance: Must be mature and domestically secure. Able to manage travel without upsetting domestic situation. Able to work extended hours on occasions when required. Technology skills: Must be adept in use of MS Office, particularly Excel, Word/Power Point, and ideally Access or similar database to basic level, Internet and email. Open for learning and adapting to new technologies being introduced in the organization. Sound contextual knowledge of local issues, organizational relationships, social and cultural constraints and realities, and environmental conditions, Right to Education, Child Psychology, and Community Motivation Ability to manage large variety of data and excellent data analysis skills, research software proficiency, knowledge of software application/web/android friendly. Able to run data management tool or modules or software Demonstrated ability to cultivate relationships, collaborate with individuals in a culturally diverse setting and build consensus; Ability to multitask and perform under stress situation Ability to treat people equally irrespective of gender Integrity towards the work and ability to know & do what is right Working effectively and inclusively with a range of people both within and outside of the organization Empathy Adherence to Code of Conduct & EG Policies: All existing & new employees shall ensure that they at all times act in compliance with EG s laid down Code of Conduct & adhere to all Policies of EG, including but not limited to Workplace Harassment Policy, Sexual Harassment Prevention and Redressal Policy, Child Protection Policy, Code of Conduct Policy, Whistleblower Policy, Work from Home Policy, Diversity and Inclusion Policy etc. EG has a zero-tolerance policy for all forms of discrimination. Preferred Education Background: Graduate in Economics, Statistics, Social Sciences or related field, preferred Fluent in Hindi and local dialect and basic knowledge of English Preferred Work Experience: Minimum 3-5 years of experience in relevant field, experience in data analysis and data mining.

About the Role: Grade Level (for internal use): 08 Job Description Summary : S&P Global Market Intelligences Managed Corporate Actions (MCA) service is a best-in-class centralized source of validated corporate action announcements for three million equities, fixed income, and structured finance securities across global markets. MCA services customers as a single source that streamlines operations for the collection, validation and dissemination of corporate actions. The Corporate Actions Product Services Team across locations in India, Singapore, London, New York, and Dallas is responsible for corporate actions validation research, client support and new client onboarding, vendor management, quality control, and strategic support for new operational and product initiatives. The global team of corporate actions research analysts monitors domestic and international corporate actions announcements from the point of notice of inception and conducts a stringent cleansing process. MCA receives corporate actions information from vendor feeds, which create an announcement composite that the team researches and enriches to produce validated multi-sourced corporate actions records for customers to pass notification on to their clients to take investment decisions and allocate entitlements that result from the event. The successful Corporate Actions Associate candidate is a highly motivated team player, who is focused and dedicated to ensuring that the state of each composite record clearly defines the terms of the corporate action in order for clients of the service to pass notification on to their own clients to conduct investment decisions and to allocate entitlements resulting from the corporate action. Key functions include data capture and validation of announcement publication initiated by information received from vendor feeds, data enrichment, research and analysis, interfacing with agents, supporting clients inquiries to further elaborate on market nuances, strategic operations projects and assignments that contribute to the business's product roadmap and revenue generating initiatives. Duties & Accountabilities Review corporate action announcements and conduct research to obtain details required to validate and complete announcements for publication of composite records to clients. Conduct research leveraging various sources, including but not limited to prospectuses, information circulars, exchanges and bulletins, and company websites to thoroughly source and validate corporate action information. Interface with Domestic and Foreign Paying/Transfer/Information Agents, Custodian Banks, Exchange Officials, and other external parties to obtain informative details on corporate actions. Review daily exception reports; research and resolve exceptions. Contribute input to develop/modify procedures and controls. Collaborate with local and global team members to improve procedures and identify and implement opportunities to realize efficiencies and improve quality for a better downstream product and to enhance level of service delivered to clients. Contribute to user acceptance testing and special projects in partnership with Product Services teammates locally and in other locations, and with Product and Technology Team counterparts. Understand Service Level Agreements (SLAs) and their impact on operations and clients. Competencies Degree in Finance preferred. Strong awareness of global financial markets and in-depth knowledge of Equities and Fixed income markets Strong research and data mining skills required. Knowledge of financial markets and awareness of current global financial news Out of the box thinker with proven analytical and critical thinking skills Elevated level of initiative with strong propensity to work under pressure to meet tight deadlines. Meticulous Strong verbal and written communication skills for interactions with teammates across roles and locations, external information sources, and clients. Ability to work well both independently and as a member of a team. Flexible to work in shifts as well as on Sunday (no late-night shifts required) as this would be a Sunday to Thursday work week. Excel and SQL skills preferred.

About vmedulife Software vmedulife Software provides integrated cloud LMS software used by millions of users. We have built great software and excellent client services. Now for further achievements, we are looking for more team members who are self-driven, skilled, and excited to join the vmedulife team soon. Come to work in a growing company that offers great benefits with opportunities to advance and learn. We are looking for a Data Mining Intern to assist in the business expansion phase. Job description Understands Social Media platforms and can extract meaningful data (business leads) The Candidate should have Good knowledge of primary research. Qualifying the contacts/prospects by calling the operator that is relevant to the specification. Required Candidate profile Any Graduate Must have Laptop Good knowledge of MS Excel/PowerPoint. Compiling and analyzing data using different methods to collect it. Build customer database/lists viz. region-wise, product-wise, and campaign-wise. Work Location Remote Benefits: - Work From Home - Internship Certificate

Our Purpose Title and Summary Economic Analyst, North America (NAM) Economic Analyst, North America (NAM) Overview The Mastercard Economics Institute (MEI) is an economics lab powering scale at Mastercard by owning economic thought leadership in support of Mastercard s efforts to build a more inclusive and sustainable digital economy The Economics Institute was launched in 2020 to analyze economic trends through the lens of the consumer to deliver tailored and actionable insights on economic issues for customers, partners and policymakers The Institute is composed of a team of economists and data scientists that utilize & synthesize the anonymized and aggregated data from the Mastercard network together with public data to bring powerful insights to life, in the form of 1:1 presentation, global thought leadership, media participation, and commercial work through the company s product suites About the Role We are looking for an economic analyst to engage in data analytics and economic research for U.S. and Canada. This individual will report to the VP, Lead Economist for North America at MEI, and will have the following responsibilities: Support client and stakeholder engagements for the Economics Institute, specifically focusing on NAM economic research. Support collaboration with external clients, academic institutions, and industry partners. Generate initial insights to help create effective, impactful, and quality-assured storylines and visuals at the stream or small project level. Synthesize analyses into clear, sound recommendations. Outline and help write reports and draft client presentations at the work stream or project level. Enhance existing products and partner with internal stakeholders to create new solutions. Proactively seek new knowledge and structure project work to facilitate the capture of intellectual capital with minimal oversight. Actively participate in new solution development and support thought leadership activities by building knowledge, know-how, and best practices related to economic research; share and leverage to continuously improve quality and productivity. All About You Required: Bachelors degree in Economics (preferred), Statistics, or Mathematics. Experience in statistical modeling, quantitative analysis, data engineering, R development, with a focus economic research. Understanding of statistics and econometric concepts, modeling and forecasting techniques Proficiency in SQL and Hadoop is essential. Expertise in R, Python, or other major statistical packages is essential. Experience with Tableau is strongly preferred. Knowledge of JavaScript for data visualization is a plus. Proficient in key econometric and statistical techniques such as predictive modeling, logistic regression, survival analysis, time series modeling, design of experiments, decision trees, and data mining methods. Willingness to learn additional statistical applications or software as required. Experience in the financial services industry is desirable. Excellent communication and strong writing skills required.

Role: Data Analyst Location: Kharadi, Pune Life Unlimited. At Smith+Nephew, we design and manufacture technology that takes the limits off living. We are seeking a highly skilled and diligent Data Analyst to support enterprise-level initiatives in collaboration with the IT Systems Manager. This role requires a proven foundation in data mining, analysis, and reporting, and the ability to work multi-functionally with business and technology teams. The ideal candidate will ensure data integrity across systems, dashboards, and reports, redefining sophisticated datasets into clear and actionable insights tailored to various customers. What will you be doing? Manage daily and weekly functional tasks, track outputs, detail internal processes, support issue resolution, mentor on corrective actions, and provide ad hoc analysis, scenario modeling, trend identification, and data-driven recommendations to customers. Support ongoing and new automation projects, provide technical system solutions for sophisticated challenges, and collaborate with multi-functional teams to ensure alignment and successful project execution. Implement data mining and manipulation tasks using SQL and Python, build ad-hoc reports, design dashboards and key performance metrics, and share actionable insights using Excel. Ensure the accuracy, consistency, and integrity of data across systems, reports, and dashboards; support data provisioning from non-standard sources; and perform thorough testing and validation of data processes. Collaborate with IT teams on resolving support tickets and implementing system improvements across platforms such as SAP, Salesforce CoE, Azure IAM, and Azure Infrastructure. What will you need to be successful? Education: Bachelors/masters degree or equivalent experience in Computer Science / Software engineering/IT or equivalent experience. Licenses/Certifications: SQL, Reporting Tool Preferred. Experience: Should have an overall of 5-8 years of experience in the field of Data Analytics . A minimum of 2-3 years of extensive Power BI standard & custom visual development, design, wireframing, and storyboarding/storytelling experience. Strong SQL knowledge required. Experience with SLDC or Agile Methodology using Azure DevOps or JIRA. Experience with equivalent ETL and data science applications is good to have. Expert designer of information visualizations and dashboards. Solid grasp of data analysis, modeling, report generation, and warehousing/data stores concepts. Expert in selecting the right dashboard design and deployment method for business requirements. Must have a high level of digital literacy with desktop and cloud-based efficiency software such as Office 365, Microsoft Office desktop applications, Microsoft Teams etc. Experience in working with XSLT and XML. Attention to Detail: Solid focus on data accuracy, completeness, and relevance. Analytical Thinking: Ability to detect patterns, generate creative solutions, and interpret sophisticated data sets for actionable outcomes. Excellent written and verbal communication skills with the ability to convey sophisticated ideas clearly. Capable of working independently with minimal supervision, demonstrating initiative and accountability. You Unlimited. We believe in crafting the greatest good for society. Our strongest investments are in our people and the patients we serve. Inclusion, Diversity and Equity: Committed to Welcoming, Celebrating and Thriving on Diversity, Learn more about Employee Inclusion Groups on our website ( https://www.smith-nephew.com/ ). Other reasons why you will love it here! Your Future: Major medical coverage + policy exclusions and insurance non-medical limit. Educational Assistance. Work/Life Balance: Flexible Personal/Vacation Time Off, Privilege Leave, Floater Leave. Your Wellbeing: Parents/Parents-in-Law s Insurance (Employer Contribution of 8,000/- annually), Employee Assistance Program, Parental Leave. Flexibility : Hybrid Work Model (For most professional roles) Training: Hands-On, Team-Customized, Mentorship Extra Perks: Free Cab Transport Facility for all employees; One-Time Meal provided to all employees as per shift. Night shift allowances. #LI-DP1 Stay connected and receive alerts for jobs like this by joining our talent community . Were more than just a company - were a community! Follow us on LinkedIn to see how we support and empower our employees and patients every day. Check our Glassdoor page for a glimpse behind the scenes and a sneak peek into You . Unlimited . , life, culture, and benefits at S+N. Explore our new website and learn more about our mission, our team, and the opportunities we offer.

Fulfillment Centers (FCs) are the physical engine at the heart of Amazon, that move billions of units of inventory, employ tens of thousands of people, and ensure that customers get what they want when promised. Amazon India FC Operations team is looking for a passionate, results-oriented Business Intelligence Support Engineer who thrives in a fast paced, data-driven environment. The selected candidate will have a passion for building and maintaining scalable solutions to enable the growth our FC Operations. The position will work closely with Central ACES teams to develop platform and tools and analyze data to support PD initiatives, dig deep into data to determine root cause of defects, build and maintain decision support process to track defects and correct them in real time. Proposed Responsibilities of BIE Support will be: Monitoring health of DWP jobs, infrastructure and platform maintaining 100% availability and scaling Performing root cause analysis and resolving Trouble Tickets. Enhancements to the existing solutions independently (with minimal guidance from BIE team) Gradual ownership of medium complexity solutions from the roadmap initiatives Fulfillment of data requirements of the central ACES team, Using Analytical tools to drive solutions to business problems. Data model creation for critical roadmap projects. Configuration and network setup for new FCs. Design, develop, and implement solutions to more effectively utilize technical configurations to deliver tangible operational and customer benefits. Managing multiple projects simultaneously. Ability to communicate to various stakeholder from different teams. Work closely with operations, product teams and engineering teams during and after launch and for new special projects. We are open to hiring candidates to work out of one of the following locations: Bengaluru, KA, IND About the team Fulfillment Centers (FCs) are the physical engine at the heart of Amazon, that move billions of units of inventory, employ tens of thousands of people, and ensure that customers get what they want when promised. Amazon India FC Operations team is looking for a passionate, results-oriented Business Intelligence Support Engineer who thrives in a fast paced, data-driven environment. The selected candidate will have a passion for building and maintaining scalable solutions to enable the growth our FC Operations. 1+ years of data analytics or automation experience 1+ years of capacity planning, operations planning, business analysis or similar experience Bachelors degree Knowledge of data pipelining and extraction using SQL Knowledge of SQL and Excel at a moderate or advanced level Experience with data mining tools like SQL, SAS, SPSS, or similar 7. Do you have knowledge of SQL/Python/R, scripting, MS Excel, table joins, and aggregate analytical functions? Knowledge of SQL/Python/R, scripting, MS Excel, table joins, and aggregate analytical functions

Location(s): Noida-Greater Noida Expressway, Sector - 129, Plot No. C3-C, Noida, Uttar Pradesh, IN Line Of Business: Insurance(INSURANCE) Job Category: ESG Analytics, Data & Research Experience Level: Experienced Hire At Moodys, we unite the brightest minds to turn today s risks into tomorrow s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies: Must have 3-6 years experience in risk/ business/ data analytics for P&C insurance, reinsurance, or insurance linked securities. Strong analytical and problem-solving abilities. Experience in mathematical or statistical application for R&D, model development or solution design. Hands-on experience with catastrophe risk models will be an added advantage. Strong database and data mining skills - working knowledge of Excel, Access, and SQL; VBA or VB.Net is an added advantage. Excellent written and verbal communication. Desirable - Knowledge of Python and R languages Education B.E / B. Tech (preferably Civil/Mechanical Engineering) from IIT/NIT or other reputed universities OR MBA Finance/Insurance/Operations Research or master s in mathematics/ Statistics/Operations Research/Economics from top-tier universities. Responsibilities As a Sr Risk Consulting Associate, you will be responsible for the quantification of catastrophe risk using a variety of databases and RMS models for a client portfolio. The person will be required to understand client requirements for exposure and loss analytics, configure an analytical solution, and report/ present results from the analysis to underwriting and catastrophe modeling teams at insurance/ reinsurance companies. Key Accountabilities & Deliverables Provide high quality analysis of exposures and losses to enable business decisions at the client-end. Understand the in-depth working of RMS models including database schema to conduct the appropriate analysis. On hands experience in end-to-end account modelling and Portfolio/ Cedant analysis including exposure preparation and enrichment. Assess the quality of input data and be able to highlight potential improvements. Generate relevant insights from modeled results for an analytically sophisticated stakeholder group. Support the client in understanding the analysis output and proving value-added observations and comparison summary. Independently lead projects in terms of project delivery, value-addition, process optimization and client communication Document all aspects of a project, particularly focusing on the rationale for decisions and exceptions. Drive process improvements which increase utility or efficiency of analysis. Mentor and train new risk analysts including performing need-based quality assurance of their work Interface with RMS client development and other technical teams on client engagements. About the team Our Analytical Services team provides clients with advanced catastrophe insights and deliverables, leveraging Moody s RMS models and programming tools. Our department Analytical service aligns with Moody s Insurance segment object to grow by providing high quality deliverables and insights to the clients. By joining our team, you will be part of exciting work in Insurance domain specifically to the catastrophe modeling located in Noida, India.

Transforming the Future of Enterprise Planning At o9, our mission is to be the Most Value-Creating Platform for enterprises by transforming decision-making through our AI-first approach By integrating siloed planning capabilities and capturing millions even billions in value leakage, we help businesses plan smarter and faster This not only enhances operational efficiency but also reduces waste, leading to better outcomes for both businesses and the planet Global leaders like Google, PepsiCo, Walmart, T-Mobile, AB InBev, and Starbucks trust o9 to optimize their supply chains Role: Senior Functional Consultant What you ll do for us The responsibilities include end-to-end o9 solution design, configuration, implementation, data analytics, testing of solution and communication with internal and external stakeholders Design End to end solution design, configuration, implementation, data analytics, testing of solution and communication with internal and external stakeholders Participate in process and business requirements sessions with client and document to-be business process leveraging industry best practices Work with clients to identify and collect data, such as historical sales, shipment, inventory, logistics, and other operations / supply chain data from sources like databases, Excel sheets, emails, and others Ability to convert business logic to technical platform design, including knowledge of platform infrastructure Configuration Work closely with architects and directors to develop clear functional and technical design, document data requirements, and build complex datasets Configure a technical specification document and tool configuration in the o9 platform, as per the design, to solve deep operations / supply chain problems and institute rigorous performance monitoring systems Data Analytics Use mathematical models, predictive methods, statistical techniques, optimization algorithms and simulations to analyze, manipulate and interpret large enterprise data and provide business insights and data visualization to the client management Be proficient in statistical and optimization tools and programming languages to conduct data integration through extraction, transformation, and loading (ETL) and create models to generate time series forecasts and operational plans Testing Work with internal Research and Development teams to resolve solution gaps and deploy fixes in the customer environment Create and execute workflow and data analytics test-cases, document issues, and track progress at resolving issues Ability to design and implement a testing protocol, with support from junior analysts, with the end goal of automating testing Communication Work with client, cross-functional teams, and IT and business stakeholders, to ensure successful planning and execution of projects Plan, develop and deliver Super User and End User training, for a global user base Mentor junior analysts to familiarize them with technical and business aspects of a project What you ll have Education: Master s Degree required with 1 year of experience or Bachelor Degree with 3 years experience Degrees in the following fields: in Operations Research, Industrial Engineering, Engineering Management, Business Analytics or related fields with a concentration in operations or analytics Experience: implementing supply chain planning solutions or working in the supply chain/ logistics organization Experience presenting on complex topics in a clear, concise, and easily understood manner Firsthand experience leading, or assisting a team, through the full lifecycle of a supply chain planning solution implementation including business requirement gathering, solution design & development, UAT/SIT, go-live/cutover and value realization is preferred Experience using agile methodology to deliver large scale enterprise implementations Skills: Statistical, Optimization and Simulation skills through software tools and packages like R, SAS, CPLEX or similar is preferred Knowledge of spreadsheets and software (Microsoft Excel, Google Sheets), document processing (Microsoft Word, Google Docs), presentation (Microsoft PowerPoint) is required Knowledge and training in databases (SQL Server, MySQL) and skills one or more languages like SQL, MDX, T-SQL or similar is required Strong analytical techniques, data mining knowledge and proficiency in handling and processing large amounts of data is preferred Ability to identify key insights and critical thinking to prioritize and focus on the highest value opportunities or the biggest risks is preferred More about us Our platform, the o9 Digital Brain, is the premier AI-powered, cloud-native platform driving the digital transformations of major global enterprises including Google, Walmart, ABInBev, Starbucks and many others Our headquarters are located in Dallas, with offices in Amsterdam, Paris, London, Barcelona, Madrid, Sao Paolo, Bengaluru, Tokyo, Seoul, Milan, Stockholm, Sydney, Shanghai, Singapore Munich, Toronto More about us At o9, transparency and open communication are at the core of our culture Collaboration thrives across all levels hierarchy, distance, or function never limit innovation or teamwork Beyond work, we encourage volunteering opportunities, social impact initiatives, and diverse cultural celebrations With a $37 billion valuation and a global presence across Dallas, Amsterdam, Barcelona, Madrid, London, Paris, Tokyo, Seoul, and Munich, o9 is among the fastest-growing technology companies in the world Through our aim10x vision, we are committed to AI-powered management, driving 10x improvements in enterprise decision-making Our Enterprise Knowledge Graph enables businesses to anticipate risks, adapt to market shifts, and gain real-time visibility By automating millions of decisions and reducing manual interventions by up to 90%, we empower enterprises to drive profitable growth, reduce inefficiencies, and create lasting value o9 is an equal-opportunity employer that values diversity and inclusion We welcome applicants from all backgrounds, ensuring a fair and unbiased hiring process Join us as we continue our growth journey!

Amazon 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. 1) 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 outputs 5) Scale data processes and reports; write queries that clients can update themselves; lead work with data engineering for full-scale automation 6) Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis 7) Work with a variety of data sources and Pull data using efficient query development that requires less post processing (e.g., Window functions, virt usage) 8) When needed, pull data from multiple similar sources to triangulate on data fidelity 9) Actively manage the timeline and deliverables of projects, focusing on interactions in the team 10) Provide program communications to stakeholders 11) Communicate roadblocks to stakeholders and propose solutions 12) Represent team on medium-size analytical projects in own organization and effectively communicate across teams A day in the life 1) Solve ambiguous analyses with less well-defined inputs and outputs; drive to the heart of the problem and identify root causes 2) Have the capability to handle large data sets in analysis through the use of additional tools 3) Derive recommendations from analysis that significantly impact a department, create new processes, or change existing processes 4) Understand the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis testing 5) Identify and implement optimal communication mechanisms based on the data set and the stakeholders involved 6) Communicate complex analytical insights and business implications effectively About the team AOP (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. 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 experience 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

Are you passionate about applying machine learning and statistical modeling to revolutionize financial systems that handle billions of dollars in transactions? Our team faces a unique challenge: developing intelligent systems to process, analyze, and derive insights from massive financial datasets generated across Amazons global operations. This includes millions of customer transactions, vendor payments, inventory movements, commission calculations, and tax collections across hundreds of jurisdictions worldwide. As an Applied Scientist, you will: Design and implement novel machine learning solutions for complex financial problems Work with large-scale distributed systems and real-time data processing Develop automated decision-making systems for financial workflows Create scalable algorithms that balance accuracy, latency, and computational efficiency Collaborate with software engineers to productionize ML models The ideal candidate will have: Experience in machine learning, statistical modeling, and data analysis Experience with large-scale distributed systems and cloud computing Proven track record of solving complex analytical problems Excellence in scientific programming (Python, R, or similar) communication skills to collaborate with cross-functional teams Passion for mentoring and technical leadership Youll join a team that values innovation and scientific rigor, working alongside world-class engineers and scientists. Youll have the opportunity to influence the architecture of next-generation financial systems while solving novel problems in machine learning and automated decision-making. The ideal candidate will have: Experience in machine learning, statistical modeling, and data analysis Experience with large-scale distributed systems and cloud computing Proven track record of solving complex analytical problems Excellence in scientific programming (Python, R, or similar) Communication skills to collaborate with cross-functional teams Passion for mentoring and technical leadership About the team The Disputes management team manages systems handling vendor billing disputes across Amazons global operations. These disputes arise from invoice matching discrepancies, resulting in short payments due to quantity and price variances, as well as receivables from vendor returns and other deductions. The Dispute Management System enables dispute creation through multiple channels (Vendor Central, FinOps Central), provides automated research and recommendations, and facilitates communication between vendors and FinOps analysts. Our platform streamlines the entire dispute lifecycle, from initial filing through final resolution, ensuring accurate handling of financial claims while maintaining strong vendor relationships. PhD, or Masters degree and 5+ years of CS, CE, ML or related field experience Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms Experience in professional software development

Software Engineering Analyst - HIH - Evernorth Position Overview The job profile for this position is Software Engineering Analyst. Excited to grow your career? We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! Our people make all the difference in our success. We are looking for an engineer to work within our Mainframe PBM Technology organization who is open to learning new technology and has experience writing JCL, SQL. In this role you will support the team and gain exposure to the full software lifecycle of design, development, testing, and support for technical delivery. This role requires working with both onsite (Scrum Master, Product, QA and Developers) and offshore QA team members in properly defining testable scenarios based on requirements/acceptance criteria. Responsibilities Delivers specific delegated tasks assigned by a supervisor in the Engineering job family, supporting the full software lifecycle of design, development, testing, and support for technical delivery. Designs, develops and implements standardized methods, processes and systems and data mining tools. Works with both onsite (Scrum Master, Product, QA and Developers) and offshore QA team members in properly defining testable scenarios based on requirements/acceptance criteria. Completes day-to-day Information Management tasks without immediate supervision but has ready access to advice from more experienced team members. Tasks involve a degree of forward planning and anticipation of needs/issues. Participate in daily team standup meetings where youll give and receive updates on the current backlog and challenges. Qualifications Required Skills: Experience writing JCL, SQL Knowledge of agile software development life cycle methodology. Prior industry experience (Pharmacy, Healthcare, etc.) preferred. Must have good analytical and problem solving skills. Must have good communications skills both verbal and written. Required Experience & Education: 2+ years of experience 1+ years of experience in developing Mainframe applications utilizing COBOL, CICS, DB2, VSAM. High School diploma or equivalent required. College degree preferred, but not required. Location & Hours of Work Full-time position, working 40 hours per week. Expected overlap with US hours as appropriatePrimarily based in the Innovation Hub in Hyderabad, India in a hybrid working model (3 days WFO and 2 days WAH) Equal Opportunity Statement About Evernorth Health Services

SUMMARY The Junior Data Analyst role supports the Structured Data Services Team Lead on active projects. This role involves understanding basic client requirements, reviewing documents, and identifying, gathering, analyzing, and extracting data over excel. The Junior Data Analyst also identifies patterns during reviews and updates the Senior Analyst or Team Lead. Meeting deadlines while maintaining accuracy and quality standards is crucial for this role. ROLES & RESPONSIBILITIES Analyzes documents and extracts relevant content based on project specifications, primarily using Excel and other file types Collaborates closely with the Team Lead to receive the latest updates and instructions on projects Performs data cleansing or formatting on the data extracted, using formulae or manual or program tools Identifies the correlation and issues using the data mining techniques Provides the data into comprehensible structures of organize and transform information Identifies the timing and indicators of data access based on the analysis Ensures integrity and quality in all project analyses Manages multiple projects daily Meets project targets consistently Performs additional duties as assigned by manager SKILLS AND KNOWLEDGE Basic understanding of document analysis especially in data breach review Knowledge in the Advanced Excel and basic other Microsoft applications (like Word, PowerPoint etc.) Knowledge with a common scripting or programming language, including Power Query and Python will be added advantage Basic verbal and written communication skills Understanding of attention to detail and time management skills Experience working in a team environment Flexible, adaptable, responsive, and positive Data Analytical Certifications would be preferred JOB REQUIREMENTS Bachelors degree in Computer Science, Mathematics, Information Management, or Statistics with at least 0 to 2 years of Data Analyst experience Ability to work greater than 40 hours per week as needed DISCLAIMER The above statements are intended to describe the general nature and level of work being performed. They are not intended to be an exhaustive list of all responsibilities, duties and skills required personnel so classified. WORK ENVIRONMENT While performing the responsibilities of this position, the work environment characteristics listed below are representative of the environment the employee will encounter: Usual office working conditions. Reasonable accommodation may be made to enable people with disabilities to perform the essential functions of this job. TERMS OF EMPLOYMENT Salary and benefits shall be paid consistent with Arete salary and benefit policy. DECLARATION The Arete Incident Response Human Resources Department retains the sole right and discretion to make changes to this job description. EQUAL EMPLOYMENT OPPORTUNITY We re proud to be an equal opportunity employer- and celebrate our employees differences, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or Veteran status. Different makes us better. Arete Incident Response is an outstanding (and growing) company with a very dedicated, fun team. We offer competitive salaries, fully paid benefits including Medical/Dental, Life/Disability Insurance, 401(k) and the opportunity to work with some of the latest and greatest in the fast-growing cyber security industry. When you join Arete You ll be doing work that matters alongside other talented people, transforming the way people, businesses, and things connect with each other. Of course, we will offer you great pay and benefits, but we re about more than that. Arete is a place where you can craft your own path to greatness. Whether you think in code, words, pictures or numbers, find your future at Arete, where experience matters. Equal Employment Opportunity We re proud to be an equal opportunity employer- and celebrate our employees differences, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or Veteran status. Different makes us better.

Are you passionate about data? Does the prospect of dealing with massive volumes of data excite you? Do you want to create the next-generation tools for intuitive data access for transportation operations? We are looking for a Business Intelligence Engineer to help setup and deliver robust, structured reporting, analytics and models for the RBS Cost to Serve team. You will be a key contributor to shaping our strategic Defect Elimination program by equipping the program teams with the key analytics and insights. You will have an eye for detail, proficient/advanced SQL/DW/Python and have a knack for solving challenging data and reporting challenges. The role requires you to feel comfortable working with and clearly communicating with other functional teams, regionally and globally. The position will be based in Bangalore/Chennai/HYD. You will be reporting to a Sr Program Manager : Cost to Serve Analytics & Insights, working intensely with her (larger) project team, including Finance. The ideal candidate will be comfortable in a fast-paced, dynamic environment; will be a creative and an analytical problem solver with the opportunity to fulfill the Amazon motto to Work Hard. Have Fun. Make History . Analysis of business requirements and translation into technical requirements. By support of senior colleagues integration into a working, stable and scalable system Independent realization of requirements for Business Intelligence and custom software development products Creation of test cases and guidance of business stakeholders within the testing process Presentation of solutions and implemented features within weekly sync up with business stakeholders Ownership of maintenance and error handling of deployed solutions Focus on project delivery About the team RBS Cost to Serve team aims to identify and eliminate waste, negative experiences, and non-value activities across the end-to-end remit of supply chain and dependent work streams that slow down resolution for our stakeholders. The primary objective is to reduce Cost To Serve for Amazon and enable Free Cash Flow by optimizing the Cost per shipped unit economics across the supply chain systems through Defect Elimination. Our program will support in establishing the end-to-end supply chain checkpoints on how the inventory moves inside Amazon to identify gaps, broken processes/policies to eliminate root causes of systemic difficulties rather than merely addressing symptoms, on behalf of our customers. This team will partner with internal/external stakeholders to establish the Cost to serve charter based on opportunity size and own specific unique initiatives that are beyond the existing team s program scope. 3+ 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 in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

When you attract people who have the DNA of pioneers and the DNA of explorers, you build a company of like-minded people who want to invent. And that s what they think about when they get up in the morning: how are we going to work backwards from customers and build a great service or a great product Jeff Bezos Amazon.com s success is built on a foundation of customer obsession. Have you ever thought about what it takes to successfully deliver millions of packages to Amazon customers seamlessly every day like a clock work? In order to make that happen, behind those millions of packages, billions of decision gets made by machines and humans. What is the accuracy of customer provided address? Do we know exact location of the address on Map? Is there a safe place? Can we make unattended delivery? Would signature be required? If the address is commercial property? Do we know open business hours of the address? What if customer is not home? Is there an alternate delivery address? Does customer have any special preference? What are other addresses that also have packages to be delivered on the same day? Are we optimizing delivery associate s route? Does delivery associate know locality well enough? Is there an access code to get inside building? And the list simply goes on. At the core of all of it lies quality of underlying data that can help make those decisions in time. The person in this role will be a strong influencer who will ensure goal alignment with Technology, Operations, and Finance teams. This role will serve as the face of the organization to global stakeholders. This position requires a results-oriented, high-energy, dynamic individual with both stamina and mental quickness to be able to work and thrive in a fast-paced, high-growth global organization. Excellent communication skills and executive presence to get in front of VPs and SVPs across Amazon will be imperative. Key Strategic Objectives: Amazon is seeking an experienced leader to own the vision for quality improvement through global address management programs. As a Business Intelligence Engineer of Amazon last mile quality team, you will be responsible for shaping the strategy and direction of customer-facing products that are core to the customer experience. As a key member of the last mile leadership team, you will continually raise the bar on both quality and performance. You will bring innovation, a strategic perspective, a passionate voice, and an ability to prioritize and execute on a fast-moving set of priorities, competitive pressures, and operational initiatives. You will partner closely with product and technology teams to define and build innovative and delightful experiences for customers. You must be highly analytical, able to work extremely effectively in a matrix organization, and have the ability to break complex problems down into steps that drive product development at Amazon speed. You will set the tempo for defect reduction through continuous improvement and drive accountability across multiple business units in order to deliver large scale high visibility/ high impact projects. You will lead by example to be just as passionate about operational performance and predictability as you will be about all other aspects of customer experience. The successful candidate will be able to: Effectively manage customer expectations and resolve conflicts that balance client and company needs. Develop process to effectively maintain and disseminate project information to stakeholders. Be successful in a delivery focused environment and determining the right processes to make the team successful. This opportunity requires excellent technical, problem solving, and communication skills. The candidate is not just a policy maker/spokesperson but drives to get things done. Possess superior analytical abilities and judgment. Use quantitative and qualitative data to prioritize and influence, show creativity, experimentation and innovation, and drive projects with urgency in this fast-paced environment. Partner with key stakeholders to develop the vision and strategy for customer experience on our platforms. Influence product roadmaps based on this strategy along with your teams. Support the scalable growth of the company by developing and enabling the success of the Operations leadership team. Serve as a role model for Amazon Leadership Principles inside and outside the organization Actively seek to implement and distribute best practices across the operation 3+ 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 writing complex SQL queries Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Amazon Inventory Placement team is looking for a talented, innovative, hands-on and customer-obsessed Business Analyst for analytical support. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills and should be able to juggle multiple tasks at once. Ideal candidate must exhibit strong analytical skills and have proficiency in following tools: SQL, Advanced Excel, Macros. This job requires the candidate to constantly hit the ground running and ability to learn quickly. The Business Analyst position is based in Bangalore. This role primarily focuses on deep-dives, creating dashboard with hands-off wheel approach, working with different teams to develop and track metrics and bridges. 1+ years of data analytics or automation experience 1+ years of capacity planning, operations planning, business analysis or similar experience Bachelors degree Knowledge of data pipelining and extraction using SQL Knowledge of SQL and Excel at a moderate or advanced level Experience with data mining tools like SQL, SAS, SPSS, or similar Bachelors degree in mathematics, engineering, statistics, computer science or a related field

RolePricing General :Knowledge of mathematics, probability, statistics and Commercial Insurance business.Knowledge of Insurance process(es) and pricing methodologies (conventional and Innovative approaches)Mandatory :Work experience in Pricing for commercial insurance risks (eg. property LOB)Work experience on pricing modelling using Exposure and Experience rating methodologies.Should have in-depth knowledge in pricing methodologies using EMBLEM and RADAR tools.Should have built pricing tools/raters on Excel.Should have knowledge on Frequency, Severity modelling and Loss cost modelling.Additional good to have requirements:Knowledge of actuarial tools (EMBLEM/RADAR), data mining tools like SQL/R/Python, automation using VBA macrosKnowledge of ST-8 General Insurance Pricing Actuarial science would be preferableWork experience on GLM modelling - Frequency and Severity Work experience on Impact Analysis using Radar tool would be an added advantage.Screening parameters:Work experience in General Insurance PricingKnowledge on Pricing - Exposure & Experience rating techniques (familiar with key concepts like LDF, ILF, loss curves)Cleared or appeared for Actuarial Science exam- ST-8General Insurance PricingModelling (Frequency & Severity modelling) using- Emblem/R/SAS/Python

The Junior Data Analyst role supports the Structured Data Services Team Lead on active projects. This role involves understanding basic client requirements, reviewing documents, and identifying, gathering, analyzing, and extracting data over excel. The Junior Data Analyst also identifies patterns during reviews and updates the Senior Analyst or Team Lead. Meeting deadlines while maintaining accuracy and quality standards is crucial for this role. ROLES & RESPONSIBILITIES Analyzes documents and extracts relevant content based on project specifications, primarily using Excel and other file types Collaborates closely with the Team Lead to receive the latest updates and instructions on projects Performs data cleansing or formatting on the data extracted, using formulae or manual or program tools Identifies the correlation and issues using the data mining techniques Provides the data into comprehensible structures of organize and transform information Identifies the timing and indicators of data access based on the analysis Ensures integrity and quality in all project analyses Manages multiple projects daily Meets project targets consistently Performs additional duties as assigned by manager SKILLS AND KNOWLEDGE Basic understanding of document analysis especially in data breach review Knowledge in the Advanced Excel and basic other Microsoft applications (like Word, PowerPoint etc) Knowledge with a common scripting or programming language, including Power Query and Python will be added advantage Basic verbal and written communication skills Understanding of attention to detail and time management skills Experience working in a team environment Flexible, adaptable, responsive, and positive Data Analytical Certifications would be preferred JOB REQUIREMENTS Bachelors degree in Computer Science, Mathematics, Information Management, or Statistics with at least 0 to 2 years of Data Analyst experience Ability to work greater than 40 hours per week as needed

As consumer preference for digital payments continues to grow, ensuring a seamless and secure consumer experience is top of mind. Optimization Solutions team focuses on tracking of digital performance across all products and regions, understanding the factors influencing performance and the broader industry landscape. This includes delivering data-driven insights and business recommendations, engaging directly with key external stakeholders on implementing optimization solutions (new and existing), and partnering across the organization to drive alignment and ensure action is taken. Are you excited about Data Assets and the value they bring to an organization? Are you an evangelist for data-driven decision-making? Are you motivated to be part of a team that builds large-scale Analytical Capabilities supporting end users across 6 continents? Do you want to be the go-to resource for data science & analytics in the company? The Role: Work closely with global optimization solutions team to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data to support data insights and analytical needs across products, markets, and services The candidate for this position will focus on Building solutions using Machine Learning and creating actionable insights to support product optimization and sales enablement. Prototype new algorithms, experiment, evaluate and deliver actionable insights. Drive the evolution of products with an impact focused on data science and engineering. Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Perform data ingestion, aggregation, and processing on high volume and high dimensionality data to drive and enable data unification and produce relevant insights. Continuously innovate and determine new approaches, tools, techniques & technologies to solve business problems and generate business insights & recommendations. Apply knowledge of metrics, measurements, and benchmarking to complex and demanding solutions. All about You A superior academic record at a leading university in Computer Science, Data Science, Technology, mathematics, statistics, or a related field or equivalent work experience Experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis Strong analytical skills with track record of translating data into compelling insights Prior experience working in a product development role. knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. proficiency in using Python/Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi), and SQL to build Big Data products & platforms Experience with Enterprise Business Intelligence Platform/Data platform ie Tableau, PowerBI is a plus. Demonstrated success interacting with stakeholders to understand technical needs and ensuring analyses and solutions meet their needs effectively. Ability to build a strong narrative on the business value of products and actively participate in sales enablement efforts. Able to work in a fast-paced, deadline-driven environment as part of a team and as an individual contributor.