326 Data Analyst Jobs - Page 9

Proficient in MS Excel & SQL Developer Data Quality Check & Data Cleaning to maintain accuracy and consistency across data sets. Conduct data enrichment using various tools and online research methods Required Candidate profile Use excel advance functions (Lookups, Pivot Tables Etc. ) and SQL Queries for data analysis and reporting Expert in Data Visualization and Business Intelligence Tools Expert in SQL

Roles and Responsibilities: Gather data from primary and secondary sources, ensuring the upkeep of databases and data systems. Detect, examine, and decode trends or patterns within intricate datasets. Cleanse data and scrutinize computer-generated reports and outputs to identify and rectify coding errors. Coordinate with management to align business and informational priorities. Identify opportunities for process enhancements. Employ statistical techniques to scrutinize data and produce actionable business insights. Develop data dashboards, charts, and visual aids to support decision-making across departments. Convey insights through both reports and visual presentations. Engage with managers from various departments to specify data requirements for analysis projects tailored to their unique business processes. Ability to work under pressure and meet tight deadlines. Skills and Qualifications: Possess a solid foundation in statistics and practical experience with statistical software (such as Excel, Google Sheets) and mastery in programming languages including SQL, Python or others. Exhibit exceptional analytical abilities to compile, structure, examine, and present substantial data sets with precision and thoroughness. Capable of critically evaluating data to derive meaningful, actionable insights. Demonstrate superior communication and presentation capabilities, adept at simplifying complex data insights for audiences without a technical background. Possess good data visualization skills using tools like Looker Studio, Tableau or Microsoft Power BI. A bachelor's degree in Computer Science, Information Management, Statistics, or a comparable discipline is required, with prior experience in data analysis or a related field being advantageous.

About Data Axle: Data Axle India is recognized as a Great Place to Work! This prestigious designation is a testament to our collective efforts in fostering an exceptional workplace culture and creating an environment where every team member can thrive. General Summary: We are looking for a Data Analyst who will be responsible for: Roles & Responsibilities: Monitor and track scheduled input sources and database processing activities. Collaborate with both database manager and senior team members during software testing to validate documented business requirements. Perform quality assurance functions; identify and investigate deviations from standards. Maintain data and database related documentation for historical or reference purposes. Research customer inquiries and provide resolution in a timely manner. Prioritize tasks to ensure schedules are maintained. Assemble and disseminate information to internal data users. Create and maintain internal procedural documentation. Performs other miscellaneous duties as assigned by management. ","jobQualifications":" Qualifications: Ability to work effectively and contribute within a team environment. Attention to detail and aptitude for quality assurance. Ability to work in a fast-paced environment and multi-task. Proficient computer and database skills. Must have familiarity with the following: MS Excel, MS Word, MS Access. Experience with Structured Query Language (SQL), preferred. Analytical and problem solving skills. Professional and interpersonal skills. Ability to communicate with teammates and managers in an articulate, professional manner. Bachelors degree in Business, Information Technology or related field, or equivalent is required. 2 years previous relevant work experience is required. This position description is intended to describe the duties most frequently performed by an individual in this position. It is not intended to be a complete list of assigned duties but to describe a position level. Disclaimer: Data Axle India follows a merit-based employee recruitment practice with extensive screening steps. Data Axle India does not charge/accept any amount or security deposit from job seekers during the recruitment process. Job Seekers are requested to be aware of unsolicited or fraudulent communication regarding a job offer or an interview call against payment of money, please stay alert. All Data Axle India jobs are published on the Careers page of its website and/or on its LinkedIn profile. Interested job seekers may access the same and apply directly. If you believe you have been a victim of recruitment fraud, you are requested to approach law enforcement agencies immediately. ","

ABOUT EVERNORTH: Evernorth exists to elevate health for all, because we believe health is the starting point for human potential and progress. As champions for affordable, predictable and simple health care, we solve the problems others don t, won t or can t. Our innovation hub in India will allow us to work with the right talent, expand our global footprint, improve our competitive stance, and better deliver on our promises to stakeholders. We are passionate about making healthcare better by delivering world-class solutions that make a real difference. We are always looking upward. And that starts with finding the right talent to help us get there. Data Analyst - Digital Data Strategy Career Architecture Title: HIH - Data Measurement & Reporting Analyst As a Digital Data Analyst, you will be responsible for interpreting complex data sets, analyzing trends, and generating insights to inform strategic decisions and drive business growth. The ideal candidate will have a strong background in data analysis, proficiency with digital analytics tools, and the ability to communicate findings effectively to diverse stakeholders. They will also spend time researching data lineage and running SQL queries to answer detailed questions. Gather and organize data from various digital sources, including websites, mobile apps, social media platforms, and third-party analytics tools. Perform in-depth analysis of digital data sets to identify trends, patterns, and correlations.Utilize statistical techniques and data visualization tools to present findings in a clear and actionable format.Monitor key performance indicators (KPIs) related to digital marketing campaigns, website traffic, user engagement, and conversion rates. Identify areas of improvement and opportunities for optimization based on data-driven insights.Collaborate with cross-functional teams to develop data-driven strategies and initiatives to enhance digital performance and achieve business objectives. Provide actionable recommendations based on data analysis to drive decision-making at both tactical and strategic levels.Prepare regular reports and dashboards to communicate findings and insights to internal stakeholders, including executives, marketing teams, and product managers. Present analysis results and recommendations in a clear, concise, and visually compelling manner.Ensure the accuracy, completeness, and reliability of digital data by implementing data validation processes and conducting quality assurance checks. Proactively identify and resolve data discrepancies or inconsistencies.Stay updated on industry trends, best practices, and emerging technologies related to digital analytics and data management. Share knowledge and insights with team members to foster a culture of learning and innovation. Qualifications Required Skills Solid understanding of statistical methods, hypothesis testing, and predictive modeling techniques.Excellent analytical skills with the ability to interpret complex data sets and generate actionable insights.Strong communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders effectively.Proficiency in data analysis tools and programming languages such as SQL, Python, R, or similar.Detail-oriented mindset with a focus on data accuracy and integrity.The ability to work collaboratively in a fast-paced, cross-functional environment and manage multiple priorities simultaneously. Required Experience 1-3 years of experienceProven experience as a digital data analyst or similar role, with a strong track record of leveraging data to drive business outcomes.Hands-on experience with digital analytics platforms (e.g., Google Analytics, Adobe Analytics, etc.) and familiarity with tag management systems. Required Education Bachelors degree in Statistics, Mathematics, Computer Science, Economics, or a related field. Masters degree preferred. 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

Hello, Truecaller is calling you from Bangalore, India! Ready to pick up? Our goal is to make communication smarter, safer, and more efficient, all while building trust everywhere. Were all about bringing you smart services with a big social impact, keeping you safe from fraud, harassment, scam calls or messages, so you can focus on the conversations that matter. Top 20 most downloaded apps globally, and world s #1 caller ID and spam-blocking service for Android and iOS, with extensive AI capabilities, with more than 450 million active users per month. Founded in 2009, listed on Nasdaq OMX Stockholm and is categorized as a Large Cap. Our focus on innovation, operational excellence, sustainable growth, and collaboration has resulted in consistently high profitability and strong EBITDA margins. A team of 400 people from ~35 different nationalities spread across our headquarters in Stockholm and offices in Bangalore, Mumbai, Gurgaon and Tel Aviv with high ambitions . We at the Ads Team We at Ads Product are all about making Ads more meaningful & relevant to our users and help drive marketing objectives for our partners/advertisers. Ads is one of the primary ways Truecaller monetizes the APP, and thus holds a critical role in driving Truecaller revenues. Our scale boasts about: ~7 BN impressions (globally) per day, thus making Truecaller one of the largest standalone publishers in India and emerging markets like Egypt, North Africa etc.Data is at the heart of everything we do. With hundreds of millions of users globally, were constantly innovating to build products that empower individuals and businesses. As a Staff Data Analyst We are looking for an exceptional Staff Data Analyst to join our growing Data & Analytics team. In this pivotal role, you will be a trusted advisor, providing high-quality, rigorous analyses and strategic insights to our Ads Business Unit (ADs BU) leaders, Product leaders, and the Truecaller C-suite. Your work will directly enable data-led decision-making across the organization, shaping the future of Truecaller.This is a highly collaborative role where you will bridge the gap between data, product, and business. Youll work closely with data producers (engineering, data science), data consumers (marketing, business development), and product teams to translate complex data into actionable recommendations. You find the why? in the data. You will also be instrumental in coaching and mentoring more junior data scientists. Making sure that they understand what they need to do to excel, and also occasionally helping them out with hands-on work. What you bring in: 8+ years of experience in a data analyst or similar role, with a strong track record of delivering impactful data-driven insights in a fast-paced, product-led environment. Exceptional analytical and problem-solving skills , with the ability to break down complex problems, identify key drivers, and synthesize information into clear recommendations. Expert proficiency in SQL for data extraction and manipulation. Strong experience with data visualization tools (e.g., Looker, Tableau, Power BI, QlikSense) and the ability to create compelling dashboards and reports. Proficient in statistical analysis and experimental design (A/B testing), with a solid understanding of statistical significance and common pitfalls. Experience with a scripting language for data analysis and automation is a significant plus. Excellent communication and presentation skills , with the ability to articulate complex analytical concepts to both technical and non-technical audiences, including senior leadership. Proven ability to influence stakeholders and drive decision-making through data. Self-starter with a proactive approach , able to work independently and manage multiple projects simultaneously. Experience in the advertising technology (AdTech) or mobile app industry is a strong advantage. Bachelors or Masters degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Engineering, or a related discipline. What you will do to create impact: Strategic Analysis: Lead end-to-end data analysis projects, from problem definition and hypothesis generation to data extraction, manipulation, statistical modeling, and visualization, to answer critical business questions and identify growth opportunities. Influence & Advise: Deliver compelling, data-driven insights and recommendations to senior leadership (ADs BU, Product, C-suite), influencing strategic decisions and product roadmaps. Deep Dive Investigations: Proactively identify trends, anomalies, and opportunities in large, complex datasets, conducting deep-dive investigations to uncover root causes and provide actionable solutions. You also play an important role during investigation of various issues. KPI Definition & Tracking: Collaborate with stakeholders to define, monitor, and report on key performance indicators (KPIs) and metrics that accurately reflect business performance and product health. A/B Testing & Experimentation: Design, execute, and analyze A/B tests and other experiments to measure the impact of product changes and new features, providing clear recommendations for iteration and launch. Data Storytelling: Translate complex analytical findings into clear, concise, and engaging narratives and presentations for both technical and non-technical audiences. Stakeholder Collaboration: Build strong relationships with product managers, engineers, data scientists, and business leaders, acting as a bridge between data and decision-makers. Mentorship & Best Practices: Contribute to the growth of the data analysis function by mentoring junior analysts and promoting best practices in data analysis, data quality, and documentation. Data Infrastructure & Tools: Work with data engineering teams to improve data accessibility, reliability, and the development of scalable data solutions. It would be great if you also have: Big data query tools (we use BigQuery). Experience with data from mobile applications. Life at Truecaller - Behind the code: https: / / www.instagram.com / lifeattruecaller / Sounds like your dream job? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. This position is based in Bangalore, India. What we offer: A smart, talented and agile team: An international team where ~35 nationalities are working together in several locations and time zones with a learning, sharing and fun environment. A great compensation package: Competitive salary, 30 days of paid vacation, flexible working hours, private health insurance, parental leave, telephone bill reimbursement, Udemy membership to keep learning and improving and Wellness allowance. Great tech tools: Pick the computer and phone that you fancy the most within our budget ranges. Office life: We strongly believe in the in-person collaboration and follow an office-first approach while offering some flexibility. Enjoy your days with great colleagues with loads of good stuff to learn from, daily lunch and breakfast and a wide range of healthy snacks and beverages. In addition, every now and then check out the playroom for a fun break or join our exciting parties and or team activities such as Lab days, sports meetups etc. There something for everyone! Come as you are: Truecaller is diverse, equal and inclusive. We need a wide variety of backgrounds, perspectives, beliefs and experiences in order to keep building our great products. No matter where you are based, which language you speak, your accent, race, religion, color, nationality, gender, sexual orientation, age, marital status, etc. All those things make you who you are, and that s why we would love to meet you.

You are a strategic thinker passionate about driving solutions. You have found the right team. As a Team Leader within our Client Account Service Team, you will be primarily responsible for custody account opening, maintenance and closure of the custody accounts for our clients. You will ensure high quality and timely completion of all client requests and assist in end to end operations review. This role will require you to perform through checks and pay key attention to details. You will be interacting with multiple stakeholders internally and externally. Job Responsibilities Leverage five years of experience in the financial services domain, with a focus on custody, KYC, and markets space. Communicate effectively in both written and oral forms to engage with multiple stakeholders in day-to-day business. Utilize basic Microsoft tools with hands-on usage experience. Manage and safeguard confidential client information and documentation. Identify and address risk factors with a demonstrated ability to comprehend them. Adapt and flexibly work during North America hours. Required qualifications, capabilities and skills Bachelor s Degree and/or Graduate Degree Knowledge of Custody is essential with at least 5 years experience in custody or KYC domain) Strong research, analytical and comprehension skills, with ability to analyze large amounts of data Client focused with strong customer service skills (e.g. oral and written communication skills) Ability to multi-task and meet deadlines against a high volume work schedule

Take a lead role in acquiring, managing and retaining meaningful relationships that deliver outstanding experience to our customers. Job Summary As a Client Data Analyst within our KYC/AML team, you will be responsible for understanding and implementing KYC standards, guidelines, policies, and procedures. You will handle and maintain confidential client documentation, collect and verify confidential client data, and review client data/processes to meet firm-wide quality standards. This role provides an opportunity to engage with the Middle office and be part of KYC/AML interactions, offering a challenging and rewarding environment for growth and development. Job Responsibilities Understand and implement of KYC standards, guidelines, policies, and procedures. Handle and maintain confidential client documentation. Understand the firm s KYC requirements when completing documentation inclusive of Customer Identification Program (CIP), Minimum Due Diligence (MDD), Enhanced Due Diligence (EDD), Local Due Diligence (LDD), Specialized Due Diligence (SpDD) and Product Due Diligence requirements (PDD) Review of client data/processes to meet firm wide quality standards Interpret alerts and communicating to management when applicable Engage with Middle office and be part of KYC/AML interactions to complete the case as per the timeline. Required qualifications, capabilities and skills Bachelor s Degree or Graduate Degree. Knowledge of KYC is essential with at least 5 years experience (Audit, Control, Risk, AML, and Research may also be areas of experience) Strong research, analytical and comprehension skills, with ability to analyze large amounts of data Client focused with great customer engagement skills Experience in adhering to controls and compliance standards Self-starter with high levels of commitment & motivation to work with data, fix issues and achieve success in a team environment

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