319 Data Analyst Jobs - Page 9

Responsibilities: Act as Data domain expert for Snowflake in a collaborative environment to provide demonstrated understanding of data management best practices and patterns. Design and implement robust data architectures to meet and support business requirements leveraging Snowflake platform capabilities. Develop and enforce data modeling standards and best practices for Snowflake environments. Develop, optimize, and maintain Snowflake data warehouses. Leverage Snowflake features such as clustering, materialized views, and semi-structured data processing to enhance data solutions. Ensure data architecture solutions meet performance, security, and scalability requirements. Stay current with the latest developments and features in Snowflake and related technologies, continually enhancing our data capabilities. Collaborate with cross-functional teams to gather business requirements, translate them into effective data solutions in Snowflake and provide data-driven insights. Stay updated with the latest trends and advancements in data architecture and Snowflake technologies. Provide mentorship and guidance to junior data engineers and architects. Troubleshoot and resolve data architecture-related issues effectively. Skills Requirement: 5+ years of proven experience as a Data Engineer with 3+ years as Data Architect. Proficiency in Snowflake with Hands-on experience with Snowflake features such as clustering, materialized views, and semi-structured data processing. Experience in designing and building manual or auto ingestion data pipeline using Snowpipe. Design and Develop automated monitoring processes on Snowflake using combination of Python, PySpark, Bash with SnowSQL. SnowSQL Experience in developing stored Procedures writing Queries to analyze and transform data Working experience on ETL tools like Fivetran, DBT labs, MuleSoft Expertise in Snowflake concepts like setting up Resource monitors, RBAC controls, scalable virtual warehouse, SQL performance tuning, zero copy clone, time travel and automating them. Excellent problem-solving skills and attention to detail. Effective communication and collaboration abilities. Relevant certifications (e.g., SnowPro Core / Advanced) are a must have. Must have expertise in AWS. Azure, Salesforce Platform as a Service (PAAS) model and its integration with Snowflake to load/unload data. Strong communication and exceptional team player with effective problem-solving skills Educational Qualification Required: Masters degree in Business Management (MBA / PGDM) / Bachelor's degree in computer science, Information Technology, or related field.

* collecting, cleaning, analyzing, and interpreting data to help businesses make informed decisions.

Working mode : Regular Notice Period : Immediate - 15 Days About the Role : We are seeking a highly skilled Senior Data Analyst to join our team and drive data-driven decision-making. The ideal candidate will have a strong foundation in SQL, data cleaning, statistical analysis, and data visualization. This role will involve working closely with cross-functional teams to uncover actionable insights from large datasets and communicate findings effectively to stakeholders. Responsibilities : Data Analysis and Modeling : - Develop and execute complex SQL queries to extract, transform, and load data from various sources. - Conduct in-depth statistical analysis, including hypothesis testing, regression analysis, and time series analysis. - Build and maintain data models to support analytical needs and reporting requirements. Data Cleaning and Preprocessing : - Identify and address data quality issues, such as missing values, inconsistencies, and outliers. - Perform data cleaning and transformation tasks to ensure data accuracy and consistency. Data Visualization : - Create compelling data visualizations using tools like Python (Matplotlib, Seaborn), Tableau, or Power BI. - Communicate complex findings clearly and effectively to both technical and non-technical audiences. Project Management : - Collaborate with cross-functional teams to understand business requirements and define analytical objectives. - Manage data analysis projects from start to finish, including planning, execution, and reporting. Cloud Platform Utilization : - Leverage Microsoft Azure services (e.g., Azure Data Factory, Azure SQL Database, Azure Machine Learning) to build and scale data pipelines. - Demonstrate a strong understanding of cloud-based data storage, processing, and analytics. Qualifications : - Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. - 8+ years of experience in data analysis or a similar role. - Strong proficiency in SQL and data manipulation techniques. - Experience with statistical analysis methods (e.g., hypothesis testing, regression analysis). - Expertise in data visualization tools (e.g., Python, Tableau, Power BI). - Familiarity with cloud computing platforms, particularly Microsoft Azure. - Excellent communication and interpersonal skills. - Ability to work independently and as part of a team. Preferred Qualifications : - Experience with data mining and machine learning techniques. - Knowledge of scripting languages (e.g., Python, R). - Experience with data governance and data quality management.

The Master Data Analyst Amgen will support the accuracy and consistency of master data(Material, Production, Quality, Customer,Transportationand/or Plant)across the organization. This role will manage data validation, cleansing, and enrichment while collaborating with teams to resolve issues and ensure data integrity. The analyst will support key performance monitoring, data governance, and compliance efforts, as well as assist in data migration and integration projects. Candidates should have experiencein enterprise applications likeSAP or Oracle, familiarity with data governance frameworks and compliance standards, and strong analytical skills. Roles & Responsibilities: Perform data operations tasks, mainly maintenance, and validation, to ensure the accuracy and integrity of master data Support process optimization initiatives to improve data management workflows and enhance efficiency Conduct data analysis to identify trends, discrepancies, and opportunities for improvement Provide training and support to partners, customers, and end-users on master data processes, tools, and best practices. Maintain data quality reports to monitor performance metrics and ensure data compliance. Collaborate cross-functionally with business, IT, and operations teams to resolve data-related issues and ensure alignment with organizational goals. Basic Qualifications and Experience: Bachelors degree in a STEM discipline and 2-3 years of experience in SAP ECC, master data management, data governance, or data operations, preferably in the healthcare or biotech supply chains Technical Proficiency : Experience in SAP/Oracle, Microsoft Office (Excel, PowerPoint), and other data management tools (e.g., Informatica, Oracle MDM). Analytical Skills : Strong ability to analyze large datasets and deliver actionable insights. Problem Solving : Skilled at identifying root causes of data issues and implementing effective solutions. Attention to Detail : High accuracy and attention to detail, with a strong focus on data quality. Communication : Excellent written and verbal communication skills, with the ability to present findings to both technical and non-technical stakeholders. Functional Skills: Must-Have Skills: Working knowledge of SAP/Oracle Understanding of master data management processes, frameworks, and governance. Proficiency in Excel and MS Office Suite, with experience in data analysis Basic understanding of data governance frameworks and ensuring data accuracy and quality. Strong communication skills for presenting data insights to both technical and non-technical audiences. Good-to-Have Skills: SAP S/4, SAP MDG, SAP TM Professional Certifications(please mention if the certification is preferred or mandatory for the role): Soft Skills: Good analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global, virtual teams. High degree of initiative and self-motivation, centered around data perfection Team-oriented, with a focus on achieving team goals.

Dear Candidates, We are hiring Data Analyst at Saisystems Health Engineering and Product. Please find below job details and job descriptions. Experience - 3+ years Location - Pune Mode of Work - Office Notice Period - Immediate - 15 days Job Description Position Summary: We are seeking a highly motivated Data Analyst / Product Owner to join our healthcare product team. This hybrid role requires a unique blend of analytical rigor, technical proficiency, product ownership, and client engagement. You will play a key role in bridging business needs with data-driven product enhancements, working closely with both internal teams and external healthcare clients. Key Responsibilities: Product Ownership Serve as the voice of the customer in product planning, prioritizing features and data capabilities based on user needs and business goals. Own and manage the product backlog for data and reporting features. Translate business requirements into detailed user stories and technical specifications for the development team. Lead cross-functional sprint planning and backlog grooming sessions. Data Analysis & Reporting (Required) Conduct deep-dive analysis using SQL to support product decisions and client requests. Build and maintain a comprehensive data dictionary and system map across product modules. Develop prototype reports, dashboards, and KPIs to support operational, clinical, and financial workflows. Analyze product usage and client behavior to uncover insights and opportunities. Power BI Development (Nice to Have) Design and build insightful Power BI dashboards and visualizations. Collaborate with clients to understand reporting needs and translate them into functional outputs. Ensure data accuracy, integrity, and performance in visualizations and datasets. Client Engagement & Communication (Required) Act as a key point of contact for clients regarding reporting and analytics needs. Lead client discovery sessions to understand business goals, workflows, and data requirements. Provide product demos, reporting walkthroughs, and documentation for stakeholders. Work closely with client success and implementation teams to support on boarding and long-term success. Qualifications: Required: 3+ years of experience in a Data Analyst, Business Analyst, or Product Owner role (healthcare domain preferred). Advanced proficiency in SQL , including complex joins, sub queries, CTEs, and performance optimization. Working knowledge of Power BI capable of building interactive reports and dashboards. Experience with data modeling, normalization, and working with large datasets. Strong analytical thinking and attention to detail. Exceptional written and verbal communication skills with both technical and non-technical audiences. Proven ability to self-direct, organize and document work, and manage multiple priorities. Understanding of healthcare data (EHRs, RCM, claims, encounters, patient data, etc.) is highly preferred. Preferred: Experience with Agile/Scrum methodologies. Exposure to healthcare compliance frameworks such as HIPAA. Familiarity with HL7, FHIR, or healthcare interoperability concepts. What You’ll Love About This Role: The opportunity to shape data tools that improve healthcare outcomes. High visibility across product, engineering, and client teams. A supportive team that values innovation, initiative, and results. Flexibility and autonomy in shaping your roadmap and deliverables.

Job Summary: Data Analyst will be responsible for performing day-to-day analysis, leverage expertise in data collection, processing, and analysis to support marketing activities in order to meet wider business goals such as identifying effective marketing programs, understanding customers and products behavior through segmentation using various analytical techniques, business development by identifying prospective customers, transform raw data into meaningful reports and ad-hoc reporting, business intelligence dashboards. Essential Job Duties: Perform business data analysis and reporting on day-to-day basis Experience with building insights using varied data sources Execute plans based upon data (statistical analysis). Drive execution of those plans (e.g., Promotion effectiveness, customer behavior). Proactively analyze data to answer key questions for stakeholders, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity Create and maintain rich interactive visualizations through data interpretation and analysis, with reporting components from multiple data sources Understanding b2b, b2c, customer and product behavior, effectiveness of promotion, optimizing marketing programs to provide recommendations by analyzing to meet marketing goals and optimize marketing activities Understanding of Statistical modeling is required Basic Qualifications: (Minimum Required Education, Experience, Knowledge/Skills/Abilities, Essential Physical Demands) The candidate must have an Engineering Degree / Masters in Business Administration Education & Experience: Overall, 5 to 7 years of relevant Industry experience (preferably in ecommerce analytics, Automotive or Retail industry) Ability to work autonomously. High level of organizational skills with the ability to deal with conflicting priorities and deadlines. Hands-on person who can hit the ground running. Flexible with the ability to work well under pressure. Confident in problem-solving. Knowledge : Knowledge of overall business strategy and operations, including business processes, revenue and cost components and drivers of these measures, profitability and return on investment modeling and general business modeling Skills: Project management skills able to set work priorities in a logical order and handle multiple priorities in parallel Fully proficient and experienced in analysis, databases, and data mining Present complicated analytical solutions to a non-technical audience Collect, clean, and analyze large data sets to identify trends and insights. Provide data support for product development and marketing initiatives. Identify new data sources and leverage them to enhance existing analyses. Prepare comprehensive reports and visualizations to present findings to stakeholders. Analytical thinker and comfortable with large data sets, 1 M+ merchandise SKUs Strong strategic thinking skills to support analysis and lead to the recommendation of strategies and the execution of plans Customer segmentation, customer analytics, promotion analysis and forecasting expertise and experience are highly preferred Experience working with creating dashboards using all relevant data, using visualization in Excel or Power BI Strong SQL or Excel skills, with aptitude for learning other analytics tools MS Access, Excel VBA, Access VBA, Web Scrapping, Python experience highly preferred Abilities: A work style that is very precise, detail and accuracy-oriented is required for a candidate to be successful in the role. Ability to work in a geographically dispersed team environment Communication fluent in the English language (both written and verbal); equally able to explain complex analyses to those within and outside the function. Should be able to make marketing strategy decisions. Reporting. Analyzing. Presenting data. Essential Physical Demands/Work Environment: Preferred Qualifications: Proven experience as a Data Analyst or Business Data Analyst, preferably in the automotive industry. Proficiency in data analysis tools such as SQL, Python. Experience with database and model design and segmentation techniques Strong analytical skills with the ability to work with complex datasets. Excellent problem-solving skills and attention to detail. Effective communication skills to convey data insights to non-technical stakeholders. Interest in the US Automotive Industry (experience preferred)

The Master Data Analyst at Amgen will support the accuracy and consistency of master data (Material, Production, Quality, Customer, Transportation and/or Plant) across the organization. This role will manage data validation, cleansing, and enrichment while collaborating with teams to resolve issues and ensure data integrity. The analyst will support key performance monitoring, data governance, and compliance efforts, as well as assist in data migration and integration projects. Candidates should have experience in enterprise applications like SAP or Oracle , f amiliarity with data governance frameworks and compliance standards , and strong analytical skills. Roles & Responsibilities: Perform data operations tasks, mainly maintenance, and validation, to ensure the accuracy and integrity of master data Support process optimization initiatives to improve data management workflows and enhance efficiency Conduct data analysis to identify trends, discrepancies, and opportunities for improvement Provide training and support to partners, customers, and end-users on master data processes, tools, and best practices. Maintain data quality reports to monitor performance metrics and ensure data compliance. Collaborate cross-functionally with business, IT, and operations teams to resolve data-related issues and ensure alignment with organizational goals. Basic Qualifications and Experience: Bachelors degree in a STEM discipline and 2-3 years of experience in SAP ECC, master data management, data governance, or data operations, preferably in the healthcare or biotech supply chains Technical Proficiency : Experience in SAP/Oracle, Microsoft Office (Excel, PowerPoint), and other data management tools (e.g., Informatica, Oracle MDM). Analytical Skills : Strong ability to analyze large datasets and deliver actionable insights. Problem Solving : Skilled at identifying root causes of data issues and implementing effective solutions. Attention to Detail : High accuracy and attention to detail, with a strong focus on data quality. Communication : Excellent written and verbal communication skills, with the ability to present findings to both technical and non-technical stakeholders. Functional Skills: Must-Have Skills : Working knowledge of SAP/Oracle Understanding of master data management processes, frameworks, and governance. Proficiency in Excel and MS Office Suite, with experience in data analysis Basicunderstanding of data governance frameworks and ensuring data accuracy and quality. Strong communication skills for presenting data insights to both technical and non-technical audiences. Good-to-Have Skills: SAP S/4, SAP MDG, SAP TM Professional Certifications (please mention if the certification is preferred or mandatory for the role): Soft Skills: Good analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global, virtual teams. High degree of initiative and self-motivation, centered around data perfection Team-oriented, with a focus on achieving team goals.

Designs, Develops, and Tests Data Models to import data from source systems to meet Project requirements Effectively analyzes the heterogeneous source data and writes SQL scripts to integrate data from multiple data sources Statistical Analysis and assess the results to generate actionable insights and presents the findings to the business users for informed decision making . Performs Data mining which provides actionable data in response to changing business requirements. Understands business requirements and develops dashboards to meet business needs Adapts to the changing business requirements and supports the development and implementation of best-known methods with respect to data analytics Migrates data into standardized platforms (Power BI) and builds critical data models to improve process performance and product quality. Owns technical implementation and documentation associated with datasets. Provides updates on project progress, performs root cause analysis on completed projects and works on identified improvement areas (like process, product quality, performance, etc.) Provides post-implementation support and ensures the target project benefits are successfully delivered in a robust and sustainable fashion. Builds relationships and partners effectively with cross-functional teams to ensure available data is accurate, consistent and timely Independently manages expectations from stakeholders, optimally utilizes time for larger initiatives with minimal guidance on prioritization or dependencies Provides mentorship and guidance to peers and junior team members Mandatory Skills required to perform the job: Data Analysis & Statistical Analysis skills, experience in extracting information from databases, Office 365 Solid knowledge on Python. Experience in advanced Statistical techniques. Knowledge of SAP systems (SAP ECC T-Codes & Navigation) Expert in Data Base Development, Troubleshooting & Problem-solving skills (SQL Server, SAP HANA, Azure Synapse) Experience in project requirements gathering and converting business requirements into analytical & technical specs. Excellent verbal and written communication & presentation skills, able to communicate cross-functionally. Expert in Reports & Dashboard development (Power BI) . Desirable Skills: Agile/SCRUM development using any tools. Understanding of enterprise server architecture, cloud platforms Ability to deliver training and presentations in the area of expertise Good understanding of business processes and experience in Manufacturing/Inventory Management domains Data Analyst, Data Warehouse, Azure Synapse

Job Summary What you need to know about the role Each Data Analyst on this team has full ownership of a portfolio of a product and is responsible for end-to-end management of loss and decline rates. Day-to-day duties include data analysis, monitoring and forecasting, creating the logic for and implementing risk rules and strategies, providing requirements to data scientists and technology teams on attribute, model and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience while meeting loss rate targets. Meet our team PayPals Global Fraud Protection team is responsible for partnering with global business units to manage a variety of risk of various types, including identity fraud, account takeover, stolen financial fraud, and credit issues. This is an exciting department that plays an important role in contributing PayPals bottom line financial savings, ensuring safe and secure global business growth, and delivering the best customer experience. This open opportunity is within the Large Merchant and Markets Fraud Risk team. This portfolio is comprised of PayPal s newest leading-edge payments solutions, such as Risk-as-Service, Fastlane, PayPal Complete Payments, etc. as well as customized experiences developed for the company s highest-priority strategic Markets and Partnerships. Job Description Your way to impact You will be the Data Analyst in the Fraud Risk team , where you will work on leading new projects to build and improve the Risk strategies to prevent fraud using the Risk tooled and custom data & AL/ML models. In this position, you will be partnering with the corresponding Business Units to align with and influence their strategic priorities, educate business partners about Risk management principles, and collaboratively optimize the Risk treatments and experiences for these unique products and partners. Your day to day In your day to day role you will - In this role you will have full ownership of a portfolio of merchants and is responsible for end-to-end management of loss and decline rates. Collaborate with different teams to develop strategies for fraud prevention, loss savings, and optimize transaction declines or improve customer friction. You will work together with cross-functional teams to deliver solutions and providing Risk analytics on frustration trend/ KPIs monitoring or alerting for fraud events. These solutions will adapt PayPal s advanced proprietary fraud prevention tools enabling business growth. What do you need to bring- 2-4 years of relevant experience working with large-scale complex dataset. Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions Excellent communication skills, equally adept at working with engineers as well as business leaders Want to build new solutions and invent new approaches to big, ambiguous, critical problems Strong working knowledge of Excel, SQL and Python/R Technical Proficiency Exploratory Data Analysis and expertise in preparing a clean and structured data for model development. Experience in applying AI/ML techniques for business decisioning including supervised and unsupervised learning (e.g., regression, classification, clustering, decision trees, anomaly detection, etc.). Knowledge of model evaluation techniques such as Precision, Recall, ROC-AUC Curve, etc. along with basic statistical concepts.

Job Title: Global Security Data Analyst WHY HONEYWELL? Honeywell changes the way the world works. For more than 130 years, we have solved the toughest customer challenges through a rare combination of our industrial expertise, our innovations in groundbreaking software and technology, and industry-leading automation. This perfection is built on a foundation of inclusion, and diversity and driving a performance culture that values integrity and ethics. Are you ready to help us make the future? ABOUT THE ROLE: As a Cyber Security Architect/Engineer, you will partner with leadership, stakeholders, and employees to communicate through critical dashboards where to devote resources to secure Honeywell. You will work across the organization with a variety of security teams to drive down risk using data. Using your data acumen and user interface design skills, you will lead the creation and maintenance of Honeywell Global Security dashboards. By influencing with and without authority, you will help us accomplish our common mission to protect the company. This role will be responsible for performing data analysis, data mapping, data integration, data quality and dashboard development. In this role you will be the primary support around our critical dashboards. This role offers a unique opportunity to work across multiple security teams to ensure a holistic picture of the risks for Honeywell and to drive a data strategy to ensure accuracy, efficiency, timeliness and consistency across our data feeds. RESPONSIBILITIES: Use analytical and technical skills to translate business needs into requirements for designing and implementing Honeywell Global Security dashboards Collaborate with data and service owners to identify data requirements and design, maintain, and optimize data pipelines for structured and unstructured data, moving it to a centralized enterprise data warehouse Work with security service owners to use APIs for automating dashboards and eliminate manual data processes where possible Design and implement data models and schemas to support analytical and reporting needs Operate independently with minimal supervision, receiving only high-level direction from leadership Document standard processes and troubleshooting procedures Provide end-user support to minimize disruptions and encourage full use of the system Monitor data extraction, transformation, and loading processes MUST HAVE: Bachelor s degree in computer science or relatable field or 3 years equivalent experience At least 3 years of demonstrated data management experience, including the ability to merge, clean and analyze large amounts of data; as well as the development of complex dashboards. Experience with both structured and unstructured data Advanced Microsoft Excel knowledge WE VALUE: Experience in using data integration tools to extract, transform, and load processes Experience in data modelling techniques, including schema design Expert in scripting and querying languages, such as Python and SQL Familiar with metadata management within analytics tools such as Tableau and PowerBI Experience delivering results with agile development methodologies Knowledge of databases, data warehouse platforms, and cloud-based tools Proven mentoring ability to drive results and technical growth in peers Ability to clearly document business process and system requirements Ability to develop and communicate the technical vision for projects and initiatives, which can be used to support customer and management understanding Excellent interpersonal, communication, and presentation skills, along with strong organizational and decision-making abilities, good judgment, and tact Experience working in a global team and virtual environment with a strong understanding of cultural differences and a proven ability to integrate these into team dynamics BENEFITS We offer a full benefits package that includes medical, dental, vision, 401(k), flexible vacation and education assistance. Benefits provided may differ by role and location. Visit benefits.honeywell.com to learn more.

Role Advanced Data Analyst Domain Global Finance Center- ISC Direct Reports (Y/N) N Key Responsibilities Critical activities of the job Business analytics and Process Improvement Define, develop, deliver, and maintain efficient and insightful global standard-based reporting and analytics for supply chain process Partner with Functional team in identifying and delivering process improvement opportunities. Challenge Status quo and bring in new analytics for process simplification and standardization Experience of SAP/Oracle system, data mining, financial planning and reporting system. Experience in designing BI queries, Tableau development. Exposure to Alteryx/R/Python Manage senior stakeholder relationships across Finance and Tech to align purpose, teams, and technology Monthly MOS management with established standards Ability to deliver under pressure and escalation management Highly experienced SAP reporting subject matter experts and data mining / management reporting specialists to engage with business users & Hubs to: o Capture and prioritize business reporting and analysis requirements. o Identify and mobilize to eliminate reporting and analysis pain points, review metric definitions and propose relevant policy changes o drive adoption of global process reporting solutions & build capability and advocacy o sustain robust BAU delivery of standard based reporting Technical Competencies Highly skilled and experienced reporting designers and architects to: Engage with the business facing team to define and deliver automated, robust, efficient and creative reporting solutions to meet identified reporting needs Leverage available, scalable technologies to implement sustainable reporting and analysis solutions Efficiently capture reporting issues through Remedy/Service Now and engage across Operational and Tech functions to ensure timely and effective resolution. Competencies Specific knowledge, skills and experience needed to successfully undertake duties of the job Education and Certifications Technical Grad/Engineer, with certification in Tableau, Power platform-based applications MBA in finance will be an added advantage Required Experiences Min 7-10 years of exposure of developing and maintaining analytical dashboard for supply chain management Expertise in Alteryx, Power BI, Tableau, Python, and other power platform-based applications Experience in supply chain process Knowledge and Skills Strong facilitation, communication, and interpersonal skills, ability to influence senior leadership and decision-making using data. Experience of SAP/Oracle system, data mining, financial planning and reporting system. Experience in designing BI queries, Tableau development. Exposure to Alteryx/R/Python Monthly management of actuals reporting, forecasting and budgeting experience. Ability to work independently & manage multiple priorities. Completer / finisher with ability to investigate and recommend new ways of working / process improvements. Process orientated with excellent problem-solving skills. Behavioral Attributes (Honeywell behaviors or COO attributes) Innovate and create value for customers Embrace transformation Win together Build exceptional talent Drive accountability culture Be courageous

Job Summary: What you need to know about the role Each Data Analyst on this team has full ownership of a portfolio of a product and is responsible for end-to-end management of loss and decline rates. Day-to-day duties include data analysis, monitoring and forecasting, creating the logic for and implementing risk rules and strategies, providing requirements to data scientists and technology teams on attribute, model and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience while meeting loss rate targets. Meet our team PayPals Global Fraud Protection team is responsible for partnering with global business units to manage a variety of risk of various types, including identity fraud, account takeover, stolen financial fraud, and credit issues. This is an exciting department that plays an important role in contributing PayPals bottom line financial savings, ensuring safe and secure global business growth, and delivering the best customer experience. This open opportunity is within the Large Merchant and Markets Fraud Risk team. This portfolio is comprised of PayPal s newest leading-edge payments solutions, such as Risk-as-Service, Fastlane, PayPal Complete Payments, etc. as well as customized experiences developed for the company s highest-priority strategic Markets and Partnerships. Job Description: Your way to impact You will be the Data Analyst in the Fraud Risk team , where you will work on leading new projects to build and improve the Risk strategies to prevent fraud using the Risk tooled and custom data & AL/ML models. In this position, you will be partnering with the corresponding Business Units to align with and influence their strategic priorities, educate business partners about Risk management principles, and collaboratively optimize the Risk treatments and experiences for these unique products and partners. Your day to day In your day to day role you will - In this role you will have full ownership of a portfolio of merchants and is responsible for end-to-end management of loss and decline rates. Collaborate with different teams to develop strategies for fraud prevention, loss savings, and optimize transaction declines or improve customer friction. You will work together with cross-functional teams to deliver solutions and providing Risk analytics on frustration trend/ KPIs monitoring or alerting for fraud events. These solutions will adapt PayPal s advanced proprietary fraud prevention tools enabling business growth. What do you need to bring- 2-4 years of relevant experience working with large-scale complex dataset. Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions Excellent communication skills, equally adept at working with engineers as well as business leaders Want to build new solutions and invent new approaches to big, ambiguous, critical problems Strong working knowledge of Excel, SQL and Python/R Technical Proficiency: Exploratory Data Analysis and expertise in preparing a clean and structured data for model development. Experience in applying AI/ML techniques for business decisioning including supervised and unsupervised learning (e.g., regression, classification, clustering, decision trees, anomaly detection, etc.). Knowledge of model evaluation techniques such as Precision, Recall, ROC-AUC Curve, etc. along with basic statistical concepts. Preferred Qualification: Subsidiary: PayPal Travel Percent: 0 For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com . Who We Are: Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talentaccommodations@paypal.com . Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.

Assist in conducting financial and market research. Prepare reports and presentations based on research findings. Support senior analysts in data collection and analysis. Monitor industry trends and news for relevant insights.

Assist in conducting financial and market research. Prepare reports and presentations based on research findings. Support senior analysts in data collection and analysis. Monitor industry trends and news for relevant insights.

Database Developer Design and develop database schemas and queries Optimize SQL queries and stored procedures for performance Implement data models that adhere to best practices for efficiency and scalability Collaborate with application developers to integrate database functionality into applications Test and debug database-related code Provide expertise on database design and optimization techniques to other team members Application Developer Write applications that interact with the MemSQL database Implement business logic and application functionality using appropriate programming languages and frameworks Optimize application performance by leveraging MemSQL features such as query caching and parallel query execution Ensure proper error handling and data integrity within applications Collaborate with database developers to optimize database access patterns Keep abreast of MemSQL features and updates to leverage them effectively in applications Data Analyst Extract, transform, and load (ETL) data into MemSQL from various sources Write and execute complex SQL queries to analyze data and generate insights Build and maintain data visualizations and dashboards Collaborate with stakeholders to understand data requirements and provide actionable insights Ensure data quality and integrity through data validation and cleansing processes Monitor and optimize query performance for analytical workloads MemSQL Administration (Additional Responsibilities) Configuration and maintenance of MemSQL Performance tuning and optimization Security management, including user access control and role assignments

As a Data Analyst in the Arium group, part of the Verisk Extreme Event Solutions division, you will support the development of the insurance industry s leading liability catastrophe modeling solution for the global insurance and reinsurance market. The Arium models quantify the systemic and emerging liability risks that can lead to significant aggregations and clash risks across portfolios, ranging from climate change to recessions to chemical exposures and across major commercial liability lines, including commercial general liability and professional/management liability lines. This role is part of the Arium research and analytics team, and will be based in Hyderabad. Qualifications: Bachelors Degree or equivalent in statistics, computer science, information technology, business analytics, or other related majors Minimum of 2-3 years of experience preferred Proficiency in Excel Proficiency in either Python or R Proficiency in SQL and database management Experience performing data preprocessing and cleaning Dashboarding experience would be a plus Proficient in working with JSON data formats Demonstrated ability to write clean, maintainable, and we'll-documented code Insurance experience would be a plus Ability to work independently and as part of a team Strong interpersonal, oral, and written communication skills, including presentation skills Day to Day Responsibilities: Own all Arium View of Risk data and data preparation processes Own the update process for historical event parameterization Collaborate with the research team to make all necessary data adjustments to maintain a robust database Support all necessary data preparation and pre-processing for specific modeling projects and initiatives Streamline data update and cleaning processes, including refactoring and optimizing legacy code to improve performance Support Ad-hoc data analysis and queries from various Arium teams

The incumbent act as a data analyst supporting multiple use cases, digital lighthouse projects as part of DLC teams collaborating closely with business, data strategy teams and IT The incumbent would be expected to demonstrate good business domain understanding, ability to articulate user requirements, understand system-specific data flows, perform statistical analysis to identify challenges / solutions, and thereby help prepare data specification & user requirement documents to propose appropriate solutions & their feasibility to business. The incumbent would be expected to analyze and assess all components of a problem and have excellent skill to communicate. 2-4 years of experience in a Global company as a data analyst, business analyst or business requirement analyst Domain expertise in at least one of the following areas - a) Pharma R&D, b) Manufacturing, Procurement and Supply Chain and c) Marketing and Sales. Experience in working in Pharma / Life Science industry strongly preferred About the Role: Data Analyst needs to support multiple data centric activities such as data engineering, data quality, data analytics other data management activities by working closely with business, data strategy teams and IT. Work under the guidance of Data Manager in agile team to build the data solutions using approved tech stack and should be able to support the ongoing engagements with Novartis business teams. Key Responsibilities: Creating and maintaining the sanity of the Master Data (e. g. , C ustomer, Products etc. ) Supporting consolidation/ harmonization of data (master and transactional data) . Support setting up business rules for creating and maintaining master data Querying, analyzing, and profiling various datasets Supporting data migration activities by validating business data and maintaining data pipelines Ensure the data quality and process governance . Help build & i mplement data quality checks and KPI reporting . Closely work along with Business partner & liaising with IT for resolving issues Ensuring processes documentation in form of SOP s, QC list & Process flows diagrams. Essential Requirements: Education : Bachelors / Masters in computer sciences / IT or other quantitative sciences 2-4 years experience in a Global company as data steward, data analyst, data engineer or business analyst Bring deep business understanding of pharmaceutical industry and data standards with domain experience in at least one of the following areas - a) Pharma R&D, b) Manufacturing, Procurement and Supply Chain and c) Marketing and Sales Hands-on experience in Master Data Management (MDM), Data Stewardship and Data Quality Hands-on experience of ETL and programming/scripting skills (SQL, Alteryx, Databricks & Dataiku) for data preparation and analysis . Understanding of data modeling (conceptual, logical, and physical) Desirable requirements: Proficient with MS office (especially MS Excel) . Adept with Agile ways of working . Excellent communication and presentation skills with business stakeholder engagement experience Experience in gathering and documenting business requirements

About Us Udacity is on a mission of forging futures in tech through radical talent transformation in digital technologies. We offer a unique and immersive online learning platform, powering corporate technical training in fields such as Artificial Intelligence, Machine Learning, Data Science, Autonomous Systems, Cloud Computing and more. Our rapidly growing global organization is revolutionizing how the enterprise market bridges the talent shortage and skills gaps during their digital transformation journey. At Udacity, the Analytics Team is deploying data to inform and empower the company with insight, to drive student success and business value. We are looking for a Principal Data Analyst to help advance that vision as part of our business analytics group. You will work with stakeholders to help inform their current initiatives and long term roadmap with data. You will be a key part of a dynamic data team that works daily with strategic partners to deliver data, prioritize resources and scale our impact. This is a chance to affect thousands of students around the world who come to Udacity to improve their lives, and your success as part of a world-class analytics organization will be visible up to the highest levels of the company. Your Responsibilities: You will report to the Director of Data and lead high-impact analyses of Udacity s curriculum and learner behavior to optimize content strategy, ensure skills alignment with industry needs, and drive measurable outcomes for learners and enterprise clients Lead the development of a strategic analytics roadmap for Udacity s content organization, aligning insights with learning, product, and business goals. Partner with senior stakeholders to define and monitor KPIs that measure the health, efficacy, and ROI of our curriculum across both B2C and enterprise portfolios Centralize and synthesize learner feedback, CX signals, and performance data to identify content pain points and inform roadmap prioritization. Develop scalable methods to assess content effectiveness by integrating learner outcomes, usage behavior, and engagement metrics. Contribute to building AI-powered systems that classify learner feedback, learning styles, and success predictors. Act as a thought partner to leaders across Content and Product by communicating insights clearly and influencing strategic decisions. Lead cross-functional analytics initiatives and mentor peers and junior analysts to elevate data maturity across the organization. Requirements: 8+ years experience in analytics or data science roles with a focus on product/content insights, ideally in edtech or SaaS. Advanced SQL and experience with data warehouses (Athena, Presto, Redshift, etc.). Strong proficiency in Python for data analysis, machine learning, and automation. Experience with dashboards and visualization tools (e.g., Tableau, PowerBI, or similar). Strong knowledge of experimentation, A/B testing, and causal inference frameworks. Proven ability to lead high-impact analytics projects independently and influence stakeholders Excellent communication skills able to translate technical insights into business recommendations Preferred Experience: Familiarity with Tableau, Amplitude, dbt, Airflow, or similar tools Experience working with large-scale sequential or clickstream data Exposure to NLP, embeddings, or GPT-based analysis for feedback classification Understanding of learning science or instructional design principles Benefits: Experience a rewarding work environment with Udacitys perks and benefits! At Udacity, we offer you the flexibility of working from home. We also have in-person collaboration spaces in Mountain View, Cairo, Dubai and Noida and continue to build opportunities for team members to connect in person Flexible working hours Paid time off Comprehensive medical insurance coverage for you and your dependents Employee wellness resources and initiatives (access to wellness platforms like Headspace) Quarterly wellness day off Personalized career development Unlimited access to Udacity Nanodegrees

Employment Type : Full Time, Permanent Working mode : Regular Notice Period : Immediate - 15 Days About the Role : We are seeking a highly skilled Senior Data Analyst to join our team and drive data-driven decision-making. The ideal candidate will have a strong foundation in SQL, data cleaning, statistical analysis, and data visualization. This role will involve working closely with cross-functional teams to uncover actionable insights from large datasets and communicate findings effectively to stakeholders. Responsibilities : Data Analysis and Modeling : - Develop and execute complex SQL queries to extract, transform, and load data from various sources. - Conduct in-depth statistical analysis, including hypothesis testing, regression analysis, and time series analysis. - Build and maintain data models to support analytical needs and reporting requirements. Data Cleaning and Preprocessing : - Identify and address data quality issues, such as missing values, inconsistencies, and outliers. - Perform data cleaning and transformation tasks to ensure data accuracy and consistency. Data Visualization : - Create compelling data visualizations using tools like Python (Matplotlib, Seaborn), Tableau, or Power BI. - Communicate complex findings clearly and effectively to both technical and non-technical audiences. Project Management : - Collaborate with cross-functional teams to understand business requirements and define analytical objectives. - Manage data analysis projects from start to finish, including planning, execution, and reporting. Cloud Platform Utilization : - Leverage Microsoft Azure services (e.g., Azure Data Factory, Azure SQL Database, Azure Machine Learning) to build and scale data pipelines. - Demonstrate a strong understanding of cloud-based data storage, processing, and analytics. Qualifications : - Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. - 8+ years of experience in data analysis or a similar role. - Strong proficiency in SQL and data manipulation techniques. - Experience with statistical analysis methods (e.g., hypothesis testing, regression analysis). - Expertise in data visualization tools (e.g., Python, Tableau, Power BI). - Familiarity with cloud computing platforms, particularly Microsoft Azure. - Excellent communication and interpersonal skills. - Ability to work independently and as part of a team. Preferred Qualifications : - Experience with data mining and machine learning techniques. - Knowledge of scripting languages (e.g., Python, R). - Experience with data governance and data quality management.

At Sentient, we re pioneering the open artificial general intelligence (AGI) frontier, enabling loyalty and monetization of open-source models through cutting-edge research. Our platform is designed to democratize AI development, empowering communities to collaboratively train, control, monetize, and build on top of AI models in a truly open and accessible ecosystem, ensuring fair value distribution to AI builders. Sentient is backed by leading Silicon Valley venture capital firms including Founders Fund and founded by top AI academics and protocol founders. Job Summary Were seeking an exceptional AI Product Data Analyst to join our team in building Sentient Chat, a multi-agent product aiming to compete with leading consumer AI competitors. This role is a unique opportunity to work on end-to-end AI system development, from data analysis to executing on tangible AI feature improvements. The ideal candidate will have a strong focus on data analysis, natural language processing, and understanding of consumer AI performance expectations. Responsibilities Build data pipelines for natural language processing from Sentient Chat logs, analyze feedback, and extract product-level insights Run public and private benchmarks on internal AI sub-systems to assess performance across prototypes and competing products Own and compile custom datasets to define acceptance criteria throughout the product development lifecycle Conduct basic market research to suggest ways to improve AI performance on target metrics Organize scripts and data to present concrete AI failure cases and identify improvement areas Required Qualifications Experience in AI/ML : 2+ years of hands-on experience in data analysis, machine learning, or a related field, with a focus on natural language processing (NLP) and/or generative AI. Technical Skills : Strong proficiency in Python, with experience in libraries such as PyTorch, NumPy, and pandas. Data Analysis : Proven ability to collect, analyze, and interpret large datasets, with experience in data profiling and evaluation. Problem-Solving : Excellent problem-solving and analytical skills, with a proactive approach to challenges and a strong foundation in data science. Ability to derive and answer product-level questions to improve the end-consumer experience. All successful candidates will be contacted within 72 hours.

Navigate complex tech landscapes and shape firmwide impact through strategic leadership and tech expertise in a dynamic financial services environment. Join our dynamic financial services environment and shape firmwide impact through strategic leadership and tech expertise. Be a part of the Data & Analytics (D&A) group, a key player in Consumer & Community Bankings business, using AI, ML, and basic analytics to identify revenue opportunities and enhance operational efficiencies. As part of the Program team, youll promote initiatives across D&A s product portfolio and data analyst community. Our largest project is the D&A Cloud Migration, where were transitioning our 50K+ data products and 5K+ analysts to AWS cloud and Snowflake, enabling faster, scalable analytics, AI, and ML at Chases scale. Job description As a Technical Program Manager in Consumer & Community Bankings Data & Analytics group, you will drive the successful delivery of complex technology projects and programs that enable attainment of business goals across the firm. This role encompasses initiatives aimed at enhancing our technological landscape via the migration of data analyst users, applications, and datasets from on-premises to cloud-based platforms. Job responsibilities Drive key components of the D&A Cloud Migration program, ensuring alignment with strategic objectives and timely execution of initiatives. Lead the migration of users and applications to target platforms on AWS cloud and Snowflake, coordinating with cross-functional teams to ensure seamless transitions. Act as a liaison between business and technical teams, ensuring clear communication and alignment of objectives. Collaborate with technology stakeholders to understand and address technical challenges, driving innovative solutions and mitigating risks. Utilize technical expertise, analytical acumen, problem solving and facilitation skills to provide leadership and guidance to supported teams working to address issues and plan efforts. Required qualifications, capabilities, and skills 5+ years of experience or equivalent expertise in technical program management, leading complex technology projects and programs in a large organization. Advanced expertise in stakeholder management, with the ability to establish productive working relationships and influence decision-making across cross-functional teams and clients. Proven track record of effectively managing resources, budgets, and high-performing teams in a fast-paced, agile environment. Demonstrated proficiency in applying analytical reasoning and problem-solving techniques to break down business, technical, or operational objectives into manageable tasks and activities. Strong organizational capabilities and expertise in managing change effectively. Effective leadership, communication, strategic thinking, and collaboration abilities. Preferred qualifications, capabilities, and skills PMP or similar project management certification is a plus. Bachelor s or Master s degree in a technical field. Applicable cloud computing certifications are a plus.

Responsibilities: - Interpret data, analyze results using statistical techniques, and provide ongoing reports. - Develop and implement reporting infrastructure, interactive dashboards, and other analytical tools to provide insight into the data. - Acquire data from primary or secondary data sources and highlight any issues in the existing databases/data systems. - Identify, analyze, and interpret trends or patterns in complex data sets. - Develop regression and forecasting models using historical data to predict the future performance of the portfolio. - Work with management to prioritize business and information needs. - Locate and define new process improvement opportunities. Requirements : - Bachelor's or Master's degree in statistics/mathematics/engineering. - 2+ years of experience as a Data Analyst or Business Data Analyst. - Technical Expertise in data models, database design, development, data mining, and segmentation techniques. - Strong knowledge of and experience with Excel, SQL, Python, and dashboarding tools such as Metabase, Tableau, etc. - Develop regression and forecasting models using historical data to predict the future performance of the portfolio. - Knowledge of statistics and experience using statistical packages for analyzing and visualizing datasets (Pandas, NumPy, sci-kit-learn, Seaborn). - Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. - Keen interest in solving problems using data and providing a new perspective to stakeholders.

ANY DEGREE IS PREFERRED 1>good Logical Skills. 2>fresher Business Analytics 3>fresher Data Analyst 4>good Analytical Skills Please apply for the job in Naukri.com. We will check & will update you. Do not search the number in Google and do not call us. The requirements are not yet active from Client's side.

ANY DEGREE IS PREFERRED 1>good Logical Skills. 2>fresher Business Analytics 3>fresher Data Analyst 4>good Analytical Skills Please apply for the job in Naukri.com. We will check & will update you. Do not search the number in Google and do not call us. The requirements are not yet active from Client's side.

Requirements : We are looking for bright, young engineers with good mathematics skills and an interest in data analytics/science. Knowledge of the following will be advantageous : - SQL Query writing - MS Power BI - Python/R for data science Responsibilities : Selected candidates will be responsible for the following : - Data Cleaning and Preparation : This involves filtering the data, handling missing values, and preparing the dataset for analysis to ensure accuracy and relevance. - Data Exploration and Analysis : Analysts use statistical tools and techniques to explore and analyze data, identifying patterns, relationships, and trends. - Data Visualization : They create visual representations of data findings through charts, graphs, and dashboards to make the data understandable. - Reporting : Data analysts prepare reports and presentations to communicate the insights and findings from the data to stakeholders, which can influence policy and decision-making processes. - Collaboration : They often work with other departments to understand their data needs and help them make informed decisions based on data insights. - Understand requirements given by business users in the functional domain. - Access data stored in databases/warehouses/flat files. - Create/test/deploy intuitive and interactive, analytical dashboards. - Create algorithms in Python/R for advanced analytics. - Create data governance policies like RLS to manage data security.