541 Statistical Analysis Jobs - Page 14

The Data Analyst role at our IT company involves collecting, processing, and conducting statistical analyses on large datasets to facilitate key business decisions. Your responsibilities will include transforming raw data into actionable insights, enhancing data quality, and delivering detailed reports to stakeholders. You will be responsible for gathering data from various sources such as databases, APIs, and third-party providers. This will involve cleaning and preprocessing data to ensure accuracy and consistency, as well as maintaining and updating databases and data systems. In terms of data analysis, you will be conducting statistical analyses on large datasets to identify trends, patterns, and correlations. Utilizing data mining techniques and tools, you will uncover insights and provide actionable recommendations. Additionally, you will develop algorithms and models to support data analysis efforts. Creating and managing dashboards and reports to visualize data and track key performance indicators (KPIs) will also be part of your role. You will prepare detailed analytical reports and presentations for stakeholders and utilize data visualization tools like Tableau and Power BI to present complex data in an understandable format. Collaboration is key in this role, as you will work closely with cross-functional teams including marketing, sales, product development, and customer support. Your data-driven insights will support strategic planning and decision-making, and you will effectively communicate findings and recommendations to both technical and non-technical stakeholders. Ensuring data quality and integrity is crucial, and you will be responsible for maintaining the accuracy, completeness, and reliability of data. Implementing and managing data quality checks and validation processes, as well as addressing data-related issues and providing solutions to enhance data quality will be part of your duties. Utilizing data analysis tools and software such as SQL, Python, and R for data manipulation and analysis is essential. You will stay updated on the latest data analysis technologies and trends, and implement data management tools to improve data analysis capabilities. As a Data Analyst, you will manage and prioritize multiple data analysis projects simultaneously. Ensuring timely delivery of analysis and reports to meet business needs, and collaborating with project managers to define project requirements and deliverables will also be part of your responsibilities. This is a full-time position with benefits including health insurance and Provident Fund. The work schedule is during the day shift, and additional benefits include performance bonuses, quarterly bonuses, and yearly bonuses. The preferred education requirement is a Bachelor's degree, and experience as a data analyst for at least 1 year is preferred. Proficiency in English, Hindi, and Marathi languages is preferred. The preferred work location is in Jalgaon, Maharashtra, and the work is in person.,

You are as unique as your background, experience and point of view. Here, you'll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world. Role Summary: Data and Analytics Services, the Lead Analytics Consultant is responsible for developing innovative visual analytics solutions and enabling faster and better decision making for Sun Life. Our growing mandate to deliver Data Analytics, Artificial Intelligence and Data Solutions requires an experienced data visualization practitioner to accelerate the development of our strategic analytics projects in support of our business stakeholders. Main Accountabilities: Work directly with data engineers, business data analysts and business Operations teams throughout the entire engagement life cycle including technical analysis, design, development, implementations and consulting efforts. Provide plans and estimates for reporting initiatives. Maintain standards for analysis and reporting at all levels including best practice data visualization techniques. Facilitate group meetings of various sizes for solution design, decision making, problem-solving and solution implementation. Turn complex data into easy to understand visual insights that are aligned to business objectives. Develop a user experience that is simple, yet flexible. Incorporate data governance and access controls in QuickSight/ Tableau. Enable visual storytelling through QuickSight/ Tableau and visual analytics tools. Education and Experience: Minimum graduate degree in Mathematics, Computer Science, Engineering or equivalent. Expertise in visual analytics and design principles. Total experience: 8+ years. 5+ years of experience in Tableau/Power BI/Qlik View or other visualization development experience and designing dashboards / decision enablement tools. SQL Programming, PL/SQL. Developing rich portfolio of design uses cases demonstrating excellent user experience. Working in an agile development environment including rapid prototyping during sprints. 2+ years of working experience in QuickSight/ Tableau. Competencies: Experience with PostgreSQL. Rich experience in end-to-end testing of dashboards with respect to data and features. Experience in creating test cases covering all aspects. Visual design expertise with a solid understanding of the best practices around dashboard and visual perception. End-to-End development experience and ability to create complex calculations including parameters, expressions, actions & filters and implement advanced dashboard practices in QuickSight/ Tableau. Leveraging QuickSight/ Tableau for data organization and scheduling. Ability to understand data modeling based on user specs. Designing custom landing pages in QuickSight/ Tableau for enhanced user experience. Ability to work independently, manage engagements or parts of large engagements directly with business partners. Solid understanding of how to consolidate and transform data to meaningful and actionable information. Ability to draw out meaningful business insights by synthesizing information from multiple sources. Strong oral and written communication skills, including presentation and storytelling with data. Demonstrated ability to transform User Stories into smart and elegant analytical apps for decision making. Strong problem-solving and troubleshooting skills with the ability to exercise mature judgment. A willingness to listen, challenge, communicate, and respect team member's ideas and opinions openly. Comfortable with ambiguity and effective in delivering iterative solutions. Additional Assets: Any Visualization Tool certification. Experience with AWS data sources and other AWS services. Experience with Agile or design-driven development of analytics applications. Exposure of Data Analytics projects including predictive modeling, data mining & statistical analysis. Job Category: Advanced Analytics Posting End Date: 16/10/2024,

The Machine Learning Engineer role focuses on enhancing interactions across user gaming experiences and systems by designing, coding, training, documenting, deploying, and evaluating large-scale machine learning systems efficiently. You will have the opportunity to create exceptional products and experiences for millions of users within an agile environment, collaborating seamlessly with other teams. Immersion in cutting-edge ML technologies, tools, and processes is a key aspect, contributing to the advancement of technical objectives and architectural initiatives. As an ML Engineer, your responsibilities include designing and developing machine learning models and algorithms tailored to various applications. Implementation and optimization of these models are crucial tasks, alongside collaborating with cross-functional teams to integrate the models into production systems effectively. Staying updated with the latest advancements in machine learning and AI technologies is essential to ensure solutions remain cutting-edge and effective. Your tasks will involve: - Developing, implementing, and optimizing machine learning models for applications such as predictive safety, content personalization, search, virtual assistant, time series forecasting, and clustering. - Utilizing state-of-the-art machine learning and deep learning technologies for multilingual text classification, language modeling, and multi-modal learning. - Collaborating with cross-functional teams to understand business requirements and translate them into analytical solutions. - Conducting thorough exploratory data analysis to uncover patterns, trends, and valuable insights. - Deploying machine learning models into production environments using AWS services and implementing scalable solutions for real-time and batch predictions. Required Skills and Qualifications: - Bachelor's degree in computer science, Engineering, Statistics, or a related field. - 5+ years of working experience in advanced machine learning areas like computer graphics, reinforcement learning, recommendation systems, and natural language processing. - Proficiency in Python programming and experience with PyTorch, TensorFlow, or similar frameworks. - Experience in designing and implementing machine learning-based solutions, including online safety, conversational systems, recommender systems, search engines, personalization, time series forecasting, and A/B testing. - Strong machine learning, statistical, and analytical skills. What We Offer: - Bootstrapped and financially stable with high pre-money evaluation. - Above industry remunerations. - Additional compensation tied to Renewal and Pilot Project Execution. - Additional lucrative business development compensation. - Opportunity to work closely with industry experts driving strategy with data and analytics. - Firm building opportunities for holistic professional development, growth, and branding. - Empathetic, excellence, and result-driven organization that believes in mentoring and growing a team with a constant emphasis on learning.,

We are looking for a skilled R Shiny programmer to create interactive reports that transform clinical trial data into actionable clinical insights. As an R Shiny programmer, your role will involve designing, developing, deploying, and optimizing user-friendly web applications for analyzing and visualizing clinical data. Your responsibilities will include designing, developing, testing, and deploying interactive R Shiny web applications. You will collaborate with data scientists, bioinformatics programmers, analysts, and stakeholders to understand application requirements and translate them into intuitive R Shiny applications. Additionally, you will be responsible for translating complex data analysis and visualization tasks into clear and user-friendly interfaces, writing clean and efficient R code, conducting code reviews, and validating R programming. Moreover, you will integrate R Shiny applications with AWS services like AWS Redshift, implement unit tests to ensure quality and performance, benchmark and optimize application performance, and address any inconsistencies in data, analytical, or reporting problems that may arise. Other duties may be assigned as needed. The ideal candidate should possess a Bachelor's degree in computer science, Data Science, or a related field, along with 3 to 8 years of relevant experience. Proven expertise in building R Shiny applications, strong proficiency in R programming, including data manipulation, statistical analysis, and data visualization, experience in using SQL, and an understanding of user interface (UI) and user experience (UX) principles are essential. Experience with gathering requirements, using RStudio, Version Control software, managing programming code, and working with POSIT Workbench, Connect, and/or Package Manager is preferred. Candidates should have the ability to manage multiple tasks, work independently and in a team environment, effectively communicate technical concepts in written and oral formats, and experience with R markdown, continuous integration/continuous delivery (CI/CD) pipelines, and AWS cloud computing services such as Redshift, EC2, S3, and CloudWatch. The required education for this position is a BE/MTech/MCA degree in a computer-related field. A satisfactory background check is mandatory for this role.,

Company Description At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, weve been doing just thatour technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital, WD, WD_BLACK, and SanDisk Professional brands. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the worlds biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future. Todays exceptional challenges require your unique skills. Together, we can build the future of data storage. Job Description Define Manufacturing Test Flows & Test Methodologies for NAND Flash memory based products to meet customer & quality requirements Participate to the implementation of Low Cost Test solutions to meet target DPPM's Work in close collaboration with cross-functional R&D teams to finalize the manufacturing test requirements for each of the test phases including the pass/fail criteria for a given product. Drive the new product migration from R&D to High Volume Manufacturing Phase, support technical issues & co-ordination with cross functional teams Monitor product yield, test time and DPPM. Provide technical solutions for yield improvement, TTR and DPPM reduction; and come up with detail plans and drive for implementation of the same with R&D and factory personnel Help team members in line with the changing dynamics of the product deliverables. Work with teams in different time zones, in case required. Qualifications Skill Sets Must haves Work experience related NAND Flash testing and sound understanding of ONFI Hands on experience with Lab Equipments (Testers, Oscilloscopes, Signal Generators, Logic Analyzers) Good with understanding software programs written in C, C++, C# and able to step through the code if required Ability to troubleshoot and analyze complex problems with minimal data points Ability to multi-task and meet deadlines. Excellent communication (written and verbal) and interpersonal skills The ideal individual must have proven ability to achieve results in a fast moving, dynamic environment. Self-motivated and self-directed, however, must have demonstrated ability to work well with people. A proven desire to work as a team member, both on the same team and outside of the team Excellent communication (written and verbal) and interpersonal skills Nice to haves Work experience in product validation especially from a manufacturing testing perspective Background in Semiconductor Manufacturing Processes/Operations and Flash Memory Architecture Programming skills in C, C++, or Python Good with Statistical analysis tools and correlating large data sets Experience as a technical lead managing daily activities of junior engineers in the team Additional Information Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at staffingsupport@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.,

Key Skills Required For The Data Modeler Role Data Modeling Expertise Ability to analyze and translate business needs into long-term data models. Metadata Management Strong knowledge of metadata management and related tools. Machine Learning Experience 5-8+ years of experience in machine learning in production. Statistical Analysis Knowledge of mathematical foundations and statistical methods. Database Systems Evaluating and optimizing existing data systems. Data Flow Design Creating conceptual data models and data flows. Coding Best Practices Developing best practices for data coding to ensure consistency. System Optimization Updating and troubleshooting data systems for efficiency. Collaboration Skills Working with cross-functional teams (Product Owners, Data Scientists, Engineers, Analysts, Developers, Architects). Technical Documentation Preparing training materials, SOPs, and knowledge base articles. Communication & Presentation Strong interpersonal, communication, and presentation skills. Multi-Stakeholder Engagement Ability to work with multiple stakeholders in a multicultural environment. Data Modeling Certification Desirable but not mandatory.,

As a Market Research Analyst in the jewelry industry, you will play a crucial role in conducting comprehensive market research to analyze trends and provide actionable insights to support manufacturing and sales strategies. You will gather and analyze market data from various sources, including industry reports, financial statements, consumer surveys, and competitor analysis. Your responsibilities will include identifying emerging trends, consumer preferences, and market opportunities in the jewelry sector, as well as compiling and interpreting data using statistical techniques and data visualization tools. Collaboration with cross-functional teams to develop and implement research projects and methodologies will be essential in this role. Your ability to deliver clear, concise, and actionable recommendations based on research findings to support strategic decision-making will be a key factor in your success. It is crucial to stay updated with the latest market research techniques, tools, and best practices to ensure the effectiveness of your research efforts. To excel in this role, you should have proven experience as a Market Research Analyst, preferably in the jewelry or luxury goods industry. Strong analytical and problem-solving skills will be necessary, along with proficiency in data visualization tools, preferably MSTR. Excellent communication and presentation skills are also essential, as you will need to convey insights to both technical and non-technical audiences. Being detail-oriented, self-motivated, and able to work independently as well as collaboratively in a team environment will be beneficial for success in this position.,

About PSA BDP: PSA BDP, a member of the PSA Group, is a leading provider of globally integrated and port-centric supply chain, transportation, and logistics solutions. The company is headquartered in Philadelphia, PA, and employs more than 5,500 people worldwide. We are a team that celebrates our unique diversity and close-knit community atmosphere. Our core values begin at the very top and span the broad reach of our global community. We offer dynamic careers for those individuals looking to be a part of something bigger and provide unequivocal opportunities for growth within the organization. PSA BDP serves over 5,000 customers, including some of the world's leading multinational companies within the chemical, retail & consumer, life sciences & pharmaceuticals, and electric vehicle & industrial verticals. Job Title: Customer Service Excellence & Data Analyst Job Summary: The Customer Service Excellence & Data Analyst is responsible for ensuring exceptional customer service experiences while utilizing data-driven insights to improve service delivery and operational efficiency. This role involves analyzing customer feedback, service metrics, and operational data to identify trends, enhance performance, and support strategic decisions. The ideal candidate will have a strong background in customer service, as well as expertise in data analysis, enabling them to optimize customer interactions and drive continuous improvement. Job Requirements: Key Responsibilities: Customer Service Excellence: - Ensure the delivery of high-quality, responsive customer service across all touchpoints. - Address customer complaints and concerns, striving for resolution and customer satisfaction. - Develop and implement best practices, process for customer service operations. - Monitor and evaluate customer service performance against established KPIs (Key Performance Indicators). - Be focal connect between sales, customers and operations with customer-centric culture & approach. - Identify opportunities for enhancing the customer experience based on feedback and service outcomes. Data Analysis: - Collect, analyze, and interpret customer service data to identify New Accounts, Products, POL, POD, Volumes, Regions. Filter data, get appointments of customers & give leads to sales team across regions. - Develop and maintain reports and dashboards to track customer service metrics, such as New accounts, New opportunities, Closed opportunities, Lost opportunities, response time, resolution rate, and customer satisfaction scores. - Conduct in-depth analysis of customer feedback and satisfaction surveys to understand pain points and improvement opportunities. - Use statistical methods and data visualization tools to present actionable insights to leadership and cross-functional teams. - Monitor service performance against industry standards and recommend strategies for improvement. Cross-Functional Collaboration: - Work closely with customer service, marketing, sales, and operations, CFS & Terminal team to align data insights with business goals and enhance customer experience. - Collaborate with IT and systems teams to ensure effective data collection and reporting processes. - Assist in the development of customer experience strategies based on data insights. Continuous Improvement: - Recommend data-driven improvements to policies, processes, and procedures that enhance customer service quality. - Support the implementation of initiatives that improve customer retention and loyalty based on analytical findings. - Monitor the effectiveness of implemented changes and ensure sustained improvement. Reporting and Communication: - Provide regular updates and reports on customer service performance, trends, and insights to senior management. - Maintain and update dashboards to reflect real-time customer service performance. Qualifications: - Bachelor's degree in Business, Data Analytics, BBA or Marketing, or a related field. - Proven experience in customer service or customer experience management, preferred from Logistics background with internship or minimum one year of experience. - Strong analytical skills with proficiency in data analysis tools (e.g., Excel, PPT, Power BI). - Familiarity with customer service platforms and CRM tools like Salesforce or equivalent CRM. - Excellent communication skills and the ability to present complex data to non-technical stakeholders. - Ability to work collaboratively in a team environment and drive cross-functional initiatives. - Strong problem-solving skills and attention to detail. Desired Skills: - Experience in customer feedback analysis and service improvement initiatives. - Knowledge of statistical analysis methods and techniques. - Ability to think strategically and use data to drive business decisions. Desired Skill - BBA, Commerce Graduate or any equivalent stream from Marketing & Sales. Candidate who has done an internship will be an added advantage. Location - Mumbai,

As a Senior Model Developer at Barclays, you will play a crucial role in leading the evolution of the digital landscape, driving innovation and excellence within the organization. Your primary responsibility will be to utilize cutting-edge technology to revolutionize digital offerings, ensuring unparalleled customer experiences. Quantitative Analytics (QA) is a global organization comprising highly specialized quantitative modellers and developers, led by Olaf Springer, a member of Risk Exco. In this role, you will be involved in developing, testing, implementing, and supporting quantitative models for various aspects of risk management and valuation across Barclays. Key responsibilities of the Senior Model Developer include: - Developing predictive models, statistical analyses, and optimization procedures - Participating in project design and delivery with other functional teams - Producing robust documentation to ensure replicability of results - Collaborating with colleagues to ensure project completion within agreed time frames - Contributing to the broader Quantitative Analytics department through peer reviews and project collaboration In terms of stakeholder management and leadership, you will be required to lead projects and system migrations, manage business requirements, and ensure timely delivery of projects. Additionally, you will be involved in decision-making processes, problem-solving, and strategic planning related to model development and implementation. The successful candidate for this role should possess a strong background in risk and controls, change management, business acumen, and technical skills relevant to the position. Location of the role is in Noida. The purpose of the role is to design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making. Key responsibilities include designing analytics solutions, collaborating with technology teams, developing high-performing analytics solutions, and providing ongoing support for the effectiveness of these solutions. As an Assistant Vice President, you are expected to advise and influence decision-making, lead a team, and demonstrate a clear set of leadership behaviors. You will collaborate closely with other functions/business divisions, set objectives, and coach employees towards achieving those objectives. Overall, the role of a Senior Model Developer at Barclays requires a combination of technical expertise, leadership skills, and the ability to collaborate effectively with various stakeholders to drive innovation and excellence within the organization.,

Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work experience plus a Master's degree). Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). Experience translating product and business questions into clearly framed investigative projects, extracting and manipulating large datasets, and applying statistical methods. Knowledge of data, metrics, analysis, trends, measurement, statistics and program evaluation, with the ability to solve large, complex problems. Ability to present to executives and communicate effectively with highly technical leadership teams. Ability to manage multiple assignments simultaneously in a fluid environment. About the job Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. Responsibilities Work with large, complex internal data sets, solve difficult, non-routine analysis problems, applying advanced investigative methods as needed. Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables and presentations. Work with stakeholders in Product Management, Engineering and Operation teams to define performance goals, Key Performance Indicators (KPI) and other success measurements. Develop, own and evolve investigative frameworks providing source of truth measures for the organization. Conduct deep dives revealing opportunities and risks, enabling the team to understand trends and prioritize resources.

Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience. 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work experience with a Master's degree). Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). About the job Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. Google One is a premium subscription to Google, delivering expanded storage, premium features, and AI-powered experiences across Google products to members. The team partners with teams across Google to deliver experiences to users that drive engagement and enhance loyalty, translating into subscription business growth. Responsibilities Partner with product managers and Engineering and other folks in Analytics to understand the profile of Google One business, use data to evaluate how business is evolving, and drive decisions based on insights. Identify business problems and come up with analytical solutions that improve product and user experience. Perform analysis utilizing relevant tools (e.g., SQL, R, Python) and help solve problems, and take ownership of open-ended ambiguous business problems to reach an optimal solution.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 4 years of experience in an applied research setting (e.g., product or academic), or similar. Experience with research methods (e.g., usability, studies, contextual inquires, 1:1 interviews, unmoderated research studies). Preferred qualifications: Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or a related field. 3 years of experience working with executive leadership (e.g., Director level and above). 2 years of experience conducting UX research on products, managing projects, and working in a large organization. Experience in running user research programs, employing a variety of quantitative and qualitative research methods. Familiarity with foundational and tactical research methods, as well as other methods such as diary studies, literature reviews, survey design (including maxdiff, conjoint) and log analysis, etc. About the job At Google, we follow a simple but vital premise: "Focus on the user and all else will follow." User Experience Researchers (UXRs) make this possible. Google User Experience (UX) is made up of multi-disciplinary teams of UX Designers, Researchers, Writers, Content Strategists, Program Managers, and Engineers: we care deeply about the people who use our products. The UX team plays an integral part in gathering insights about the needs, attitudes, emotions, and behaviors of people who use our products to inspire and inform design. We collaborate closely with each other and with engineering and product management to create industry-leading products that deliver value for the people who use them, and for Google s businesses. As a User Experience Researcher (UXR), you ll help your team of UXers, product managers, and engineers understand user needs. You ll work with stakeholders across functions and levels and have impact at all stages of product development. You ll play a critical role in creating useful, usable, and delightful products. You ll explore user behaviors and motivations by conducting primary research such as field studies, interviews, diary studies, participatory workshops, ethnography, surveys, usability testing, and logs analysis. The UXR community at Google is unique and will help you do your best work. You ll have the opportunity to work with and learn from UXRs across Google through regular meetups, mentor programs, and access to internal research tools. Google Photos is a photo sharing and storage service developed by Google. Photos is one of the most sought after products at Google and is looking for both client-side (web and mobile), with server-side (search, storage, serving) and machine intelligence (learning, computer vision) Software Engineers. We are dedicated to making Google experiences centered around the user. Responsibilities Define and implement quantitative UX research studies, employing statistical analysis for survey design, A/B testing, and log analysis to measure user behavior and product impact. Engage cross-functional stakeholders to align on research needs and quickly define projects that clearly convey the goals, hypotheses, recruiting characteristics, methods to be used, and expected impact. Conduct quantitative and qualitative research studies across the product and design lifecycle with minimal supervision. This can include foundational and tactical studies, as well as diary studies, literature reviews, surveys, max-diff, log analysis and relevant approaches to answer the research questions. Analyze, synthesize, and interpret study findings into key insights to be delivered to cross-disciplinary stakeholders in a clear, concise, and compelling way. Provide consultation/guidance to other UX researchers on quantitative design and methods.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. 2 years of experience managing projects and defining project scope, goals, and deliverables. Preferred qualifications: 3 years of experience in abuse analytics, Trust and Safety, policy, cybersecurity, or related fields. Experience using statistical analysis and hypothesis testing. Experience analyzing machine learning (ML) models performance or working on LLMs. Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment. Excellent written and verbal communication skills to clearly communicate technical concepts with multiple cross-regional and cross-functional stakeholders. About the job Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety. As a Trust and Safety, Engineering analyst you will be the driving initiatives that protects Google Video, Image and User generated content experiences from misinformation, abuse, and harmful content. At Google we work hard to earn our users trust every day. Trust & Safety is Google s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google s products, protecting our users, advertisers, and publishers across the globe in over 40 languages. Responsibilities Lead projects building critical trust protections for Google Video and Image, used globally, collaborating with cross-functional teams to develop safety solutions. Perform data analyses to identify and address product vulnerabilities, continuously improving systems against evolving abuse. Embrace LLMs to enhance abuse and misinformation fighting ability. Review into trust issues specific to images, videos and creator content surfaces, providing insights and data-driven analysis to inform decision-making for the product. Use technical judgement to drive project delivery, continuously refine our enforcement workflows, leveraging automation including LLMs and your problem-solving skills to streamline processes and maximize efficiency Be prepared to review and assess content that may be controversial, offensive, or sensitive, demonstrating resilience and sound judgment. You might need to perform on-call responsibilities on a rotating basis including weekends as needed.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 1 year of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. 1 year of experience managing projects and defining project scope, goals, and deliverables. Preferred qualifications: 2 years of experience in the Payments industry, working on risk or fraud management and in one or more of the following areas: statistical analysis and machine learning libraries (e.g., R, Scikit-learn,Tensorflow), programming languages (e.g., Python, C/C++), Large Language Models (LLMs) or Generative AI. Experience in innovation, technology and Google products. Ability to interact with internal and external stakeholders with attention to detail in an ever-changing environment. Ability to identify workflow pain points, optimize, automate and scale processes. Excellent communication, problem-solving and critical thinking skills. About the job Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety. In this role, you will work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed, in order to ensure a safe and secure Payments ecosystem for our users. You will identify and solve problems and have technical skills to optimize our processes and tools. You will be proactive, motivated, organized, reliable, and able to work well in a fast-paced, global, cross-functional, and team-oriented environment to get things done. You will promote users trust in Google and ensure the highest levels of user safety. At Google we work hard to earn our users trust every day. Trust & Safety is Google s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google s products, protecting our users, advertisers, and publishers across the globe in over 40 languages. Responsibilities Investigate fraud and abuse incidents, identify patterns and trends in order to generate risk management solutions. Promote user trust and safety by managing and mitigating payment fraud, scams and abuse on Google products and services. Perform statistical analysis using payments and risk data warehouse, collaborate with engineering and product teams to create and enhance tools, develop signals, improve system functionality, accuracy and efficiency. Facilitate and manage operations programs, working closely with Google engineers, product managers and vendor operations to develop and track project schedules and timelines. Use technical experience to drive and implement automation opportunities. Perform end-to-end assessment of the associated risk and vulnerability of products and features. Respond to escalations from internal and external parties within designated service levels.

Minimum qualifications: Bachelor's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience. 5 years of experience working with statistical packages (e.g., R, SAS, Stata, MATLAB, etc.). Experience in articulating product questions, pulling data from datasets (e.g., SQL), and using statistics. Preferred qualifications: 5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL). Experience working with multiple datasets/data warehouses, with the ability to pull from data sets using tools and coding. Experience in experimental design (e.g., A/B, multivariate) and incremental analysis. About the job Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. Responsibilities Identify and structure business problems, communicate challenges and opportunities. Act as a thought partner to produce insights and metrics for various technical and business stakeholders. Deliver effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information. Follow engineering best practices to create scalable data pipelines and models. Engage and influence executive stakeholders and cross-functional partners, obtain buy-in for potential solutions, adapt messaging and suggested recommendations.

Designation: Data AnalystThe Business Analyst role is one of the most crucial roles in any organization and so is it in Gameskraft. This role offers taking initiatives, dealing with challenging problems, building data science models, finding insights from existing data and presenting it through power of data visualization.This role is in the Fairplay (FPV) team which leads development and implementation of effectivefraud detection and prevention strategies to mitigate losses while ensuring an appropriatebalance between risk and customer experience.What you will do : You ll work with large, complex data sets to solve high-impact business problems which will have a direct impact on the growth of the company. Solving these problems will involve data mining, experimentation, statistical analysis, related techniques, and machine learning using tools like SQL, Python, Tableau, Excel etc. You ll be involved in multiple cycles of data analysis - forming an initial hypothesis, extracting, analysing, dissecting that data as per the hypothesis, presenting the insights in a crisp, actionable manner; and then keep reiterating the whole process till you reach the conclusion Your role would require building data science models using the latest methodologies You ll also be responsible for fixing data issues in coordination withthe data engineering team and conducting root cause analysis. You ll work with multiple stakeholders from product, operations, and CX teamsWhat you will bringWell, apart from a few cookies every day, it d be great if you came with these Bachelor s degree in Engineering or Economics or Mathematics or Statistics or related discipline 1-2 yrs. experience in data analytics or data sciences preferably for a product-oriented company Candidate needs to exhibit structured thinking and strong analytical skills Hands-on experience with data manipulation tools like SQL, R, Python, Excel etc. Exposure to visualization tools like Tableau, Power BI etc

Job Description WHAT YOU LL DO Are you passionate about transforming data into insights that drive real business decisions? Join our team as a Data Analyst and help shape the future of fashion through data-driven innovation. As a Data Analyst, your primary focus is developing high-quality analyses that meet our business needs and technological standards. You possess a solid technical foundation, problem-solving aptitude, and a passion for contributing to a collaborative team environment. Responsibilities Main focus is the data analyst scope of the product/program/team where you are expected to contribute to the short- and long-term agenda. Data discovery, building data products, testing and evaluating model outputs, in collaboration closely with other roles in the product/team, i.e., DS, DE, Business Expert, and Business teams. Solving complex problems by turning vast amounts of data into business insights through advanced analytics and effectively communicating findings to a variety of stakeholders. Framing the problem together with stakeholders, exploring large data sets; preparing data for own analysis. Creating and maintaining documentation related to your work to ensure that stakeholders have the necessary information to understand the data & analysis input/outputs. Sharing knowledge in Communities of Practice, thereby enriching the collective understanding and fostering a culture of continuous learning. WHO YOU LL WORK WITH What is Production ? Its the place where design ideas are transformed into actual products. We are in over 20 sourcing markets and are the direct point of contact for local suppliers. We work to ensure our products are of good quality and produced at the best price and in a sustainable way. WHO YOU ARE You re curious, analytical, and love solving problems with data. You enjoy working in a fast-paced environment and turning complexity into clarity. Degree or relevant experience in Statistics, Engineering, Business, or a related field Proficient in SQL; experience with Python/R is a plus Proficient in Excel and experience in BigQuery. Previous knowledge of the GCP ecosystem is and advantage. Skilled in data visualization (e.g., Power BI) and statistical analysis Strong communication and teamwork skills To be succeed in this role, you are expected: A problem-solving mindset with the ability to turn complex business questions into data-driven solutions A strong sense of ownership and the ability to work independently A passion for business and a deep understanding of how data impacts decision-making The ability to communicate insights clearly to both technical and non-technical audiences A collaborative spirit and a drive to continuously improve and innovate WHO WE ARE H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices, and sustainable solutions. We want to liberate fashion for the many, and our customers are at the heart of every decision we make. We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale, and our knowledge to push the fashion industry towards a more inclusive and sustainable future. WHY YOU LL LOVE WORKING HERE At H&M Group, we are proud to be a vibrant and welcoming company. We offer our employees attractive benefits with extensive development opportunities around the globe. Enjoy perks like staff discount cards, flexible work arrangements, wellness benefits, parental support, and more. Here, you are encouraged to be yourself, experiment, and chart your own growth path. As you flourish, so do we, with opportunities to create tangible impacts and shape the future. JOIN US Our uniqueness comes from a combination of many things - our inclusive and collaborative culture, our strong values, and opportunities for growth. But most of all, it s our people who make us who we are. This is a full-time position, starting as soon as possible according to agreement. The role is an on-site position, based in our office in Bangalore. Please apply by sending in your CV in English as soon as possible. Take the next step in your career together with us. The journey starts here. *We are committed to a recruitment process that is fair, equitable, and based on competency. We therefore kindly ask you to not attach a cover letter in your application.

Business Function The Data Chapter is a strategic partner to the business, leveraging cutting-edge AI and ML technologies to drive data-led initiatives that mitigate risk, generate revenue, and improve operational efficiency. We ensure data integrity and governance, providing high-quality analysis, insights, and automation to empower data-driven decision-making across DBS. Our collaborative approach ensures timely and actionable solutions that support the organizations strategic objectives Responsibilities Develop and implement advanced data science models and algorithms to drive business insights and decision-making Collaborate with cross-functional teams to identify and solve complex business problems using statistical analysis and machine learning techniques Conduct risk and business model analysis to assess the impact of data-driven initiatives on the organization Explore and experiment with emerging technologies, such as generative AI, to enhance data science capabilities and drive innovation Demonstrate strong problem-solving skills and the ability to work independently as well as part of a team Requirements 2-6 years of experience in data science, machine learning, or a related field Proficient in statistical analysis, data mining, and the application of advanced analytical techniques Hand on experience in Python coding and familiarity with cloud storage and computing is must, proficiency in excel is preferred Hands-on experience in developing and deploying data science models and algorithms, including those involving generative AI Excellent aptitude for problem-solving and critical thinking Strong communication and collaboration skills to work effectively with cross-functional teams Apply Now We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements. -en

Position Overview Here at ShyftLabs, we are searching for an experienced Data Scientist who can derive performance improvement and cost efficiency in our product through a deep understanding of the ML and infra system, and provide a data driven insight and scientific solution Job Responsibilities: Research, design, and develop innovative generative AI models and applications. Collaborate with cross-functional teams to identify opportunities for AI-driven solutions. Train and fine-tune AI models on large datasets to achieve optimal performance. Optimize AI models for deployment in production environments. Stay up-to-date with the latest advancements in AI and machine learning. Collaborate with data scientists and engineers to ensure data quality and accessibility. Design, implement, and optimize machine learning algorithms for tasks like classification, prediction, and clustering. Develop and maintain robust AI infrastructure. Document technical designs, decisions, and processes, and communicate progress and results to stakeholders Work with cross-functional teams to integrate AI/ML models into production-level applications Basic Qualifications: Masters degree in a quantitative discipline or equivalent. 5+ years minimum professional experience. Distinctive problem-solving skills, good at articulating product questions, pulling data from large datasets, and using statistics to arrive at a recommendation. Excellent verbal and written communication skills, with the ability to present information and analysis results effectively. Ability to build positive relationships within ShyftLabs and with our stakeholders, and work effectively with cross-functional partners in a global company. Statistics : must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models. Machine Learning : must have a deep understanding of ML algorithms (i.e., deep learning, random forest, gradient boosted trees, k-means clustering, etc.) and their development, validation, and evaluation. Programming : experience with Python or other scripting languages and database language (e.g., SQL) or data manipulation (e.g., Pandas).

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, youll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. Youll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. 10034 As an experienced technology professional, you will be responsible for: Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies Acting as a trusted advisor to customers on industry trends and emerging technologies Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn t followed a traditional path, or includes alternative experiences, don t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We re continuously raising our performance bar as we strive to become Earth s Best Employer. That s why you ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there s nothing we can t achieve in the cloud. Experience in cloud architecture and implementation Bachelors degree in Computer Science, Engineering, related field, or equivalent experience Proven track record in designing and developing end-to-end Machine Learning and Generative AI solutions, from conception to deployment Experience in applying best practices and evaluating alternative and complementary ML and foundational models suitable for given business contexts Foundational knowledge of data modeling principles, statistical analysis methodologies, and demonstrated ability to extract meaningful insights from complex, large-scale datasets AWS experience preferred, with proficiency in a wide range of AWS services (e.g., Bedrock, SageMaker, EC2, S3, Lambda, IAM, VPC, CloudFormation) AWS Professional level certifications (e.g., Machine Learning Speciality, Machine Learning Engineer Associate, Solutions Architect Professional) preferred Experience with automation and scripting (e.g., Terraform, Python) Knowledge of security and compliance standards (e.g., HIPAA, GDPR) Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences Experience in developing and optimizing foundation models (LLMs), including fine-tuning, continuous training, small language model development, and implementation of Agentic AI systems Experience in developing and deploying end-to-end machine learning and deep learning solutions

About Bharat Banking Bharat Banking is a new Department which has been set up to drive different business that the Bank does in Semi Urban and rural markets. The department is expected to drive business outcomes by focusing on partnerships, new products, innovation, reimagining customer journeys and driving / creating new channel. About the Role The Relationship Manager will be responsible for nurturing client relationships through continuous client engagements and risk profiling. The RM will be responsible for identification of potential customers and providing them customized solutions as per their requirements. The center of all client engagements will be to ensure superior customer experience. Key Responsibilities Develop and maintain business relationships with select group of customers through individualized customer service Handle customers queries and provide superior service to the mapped customers Ensure timely delivery of customers enquiries and instructions, whilst ensuring that the Bank s delivery standards in achieving total customer satisfaction are met Deepen the existing relationships by cross selling the Banks products and services/ third party products Achieve the New To Bank, cross-sell and portfolio retention targets as assigned by the organization Responsible for portfolio irregularities, management (Renewals / Pending Renewals /Stock Statement / Insurances/Other compliances) and portfolio achievement basis delinquency numbers Ensure achievement of month end enhancement disbursements Qualifications Graduate/ MBA (Marketing) preferred 2 - 5 years of experience in the BFSI sector Role Proficiencies For successful execution of the job, a candidate should possess the following: Knowledge of industry, technology, marketing, and product trends Knowledge of regulatory guidelines and norms Good communication (both verbal and written) skill in both English and the local language Ability to handle pressure and meet deadlines Strong Excel and database manipulation skills, financial and statistical analysis skill

Associate Breeder - Rice Collection, cataloguing and conservation of germplasm Development of superior lines with traits of commercial importance Work closely with the Technology Deployment Team for Trait Introgression for commercially important traits using Marker Assisted Selections ( MAS) Development of superior hybrids suitable for different market segments Coordinate with testing teams for conduct of different stage trials in the targeted environments Data management for LDB program and trials Statistical analysis for decision making for product advancements Coordinate with all stakeholders for commercialization of hybrids Seed chain management for commercial and pre-commercial hybrids Liasion with National & International Institutions We need someone with at least 5-6 years experience in Rice breeding Qualification : Ph. D / M. Sc(Ag) - Plant Breeding & Genetics or M. Sc (Botany/Biotechnology) with 7-8 years of experience

What youll be doing in your new job: 1. Become an expert in Kvantum marketing analytics platform to perform statistical analysis and modeling as well as engage with Kvantum data science, marketing science & product dev teams to deliver end to end MMM ( Marketing Mix Modeling ) engagements. 2. Leverage understanding of statistical techniques and hypothesis development to design tests/ experiments, analyze data, draw conclusions with actionable recommendations to help Yum! its Brands & Franchisees, and external Fortune 100 companies with data driven decision making. 3. Understand the outcomes of complex MMM and attribution models (AI/machine learning) to support Yum! And external stakeholders along with their media agencies in building strategic media plans. 4. Build powerful brand story using models with business & technology context, latest marketing activities in real-world. 5. Generate predictive models and optimization scenarios to support budget planning. Required skills Master s degree with 4-6 years of experience in business analytics OR bachelor s degree with 4.5+ years of management consulting experience with top tier companies. Good understanding of the statistical models & variables typically used in marketing, customer, category, and/or pricing analytics. Tell a data informed story leveraging MS Power point. Analyze data leveraging various tools - MS Excel, SQL, and/or Python Deliver recommendations to senior leadership. Note: Apart from must haves , If you understand any of these (QSR, CPG, Retail, Aggregators) domains at deeper level and/or you have a knack to analyze any business leveraging data, it will set you apart.

Overview: As a Data Analyst on our Marketplace Team, you will provide actionable insights and drive data-driven decisions within our product teams. You will work closely with product managers and stakeholders to analyze product performance, user behavior, and market trends, influencing product strategy and roadmap prioritization. This role bridges data analytics and product management to foster innovation and optimization across our product offerings. Responsibilities : Analyze Data: Lead analysis of user engagement metrics, conversion rates, and retention statistics to uncover insights and improvement opportunities. Conduct deep-dive analysis and A/B testing to evaluate product changes and guide future iterations. Track market trends, competitive landscape, and industry best practices to inform product strategy. Define and Measure KPIs: Collaborate with product managers and Marketing to track and report on key performance metrics. Develop measurement strategies for new feature releases. Create and maintain dashboards and reports to monitor product performance. Work with engineering and design teams to define data requirements and ensure high-quality data for analysis. Present Insights: Use statistical analysis and data visualization tools to communicate findings to product teams and senior leadership. Collaborate on Strategic Initiatives: Partner with cross-functional teams to develop and execute data-driven strategic initiatives. Qualifications: Educational Background & Experience: Bachelors degree in Mathematics, Statistics, Economics, Computer Science, or a related field. Master s degree preferred. 5 years of data analysis experience, ideally in a product-focused role within a tech company. Technical Skills: Proficient in SQL, Python, R, or other programming languages for data analysis. Proficient in Google Analytics and Google Tag Manager. Experience with data visualization tools such as Tableau, Power BI, or Google Data Studio. Familiarity with statistical analysis techniques and experimental design. Analytical and Problem-Solving Skills: Ability to translate complex data into actionable insights. Ability to create compelling data visualizations. Communication Skills: Strong ability to convey technical concepts to non-technical stakeholders. Collaboration and Leadership: Proven ability to work in a fast-paced, cross-functional environment. Ability to influence and drive change through data-driven insights. Passion for Data: Enthusiasm for using data to drive product innovation and improve user experiences. Join our team and play a key role in shaping the future of our products through data-driven insights and analysis. Apply now to make a meaningful impact in a dynamic and collaborative environment.

Responsibilities: Experiment Design: Collaborate with cross-functional teams to identify opportunities for A/B testing and develop clear hypotheses. Design well-structured experiments that isolate variables and yield statistically significant results. Implementation and Execution: Configure and implement A/B tests using appropriate testing platforms and tools. Ensure proper tracking and data collection for accurate analysis. Data Analysis and Insights: Analyze test results using statistical methods to identify winning variations and understand the impact of changes. Communicate findings clearly to stakeholders, highlighting actionable insights and recommendations. Continuous Optimization: Monitor and iterate on experiments based on learnings. Identify areas for further testing and contribute to the ongoing optimization of our digital products and marketing efforts. Documentation and Reporting: Maintain clear documentation of experiment designs, results, and learnings. Generate regular reports that summarize experiment performance and provide actionable recommendations. Requirements: 3+ years in A/B testing or experimentation in a digital product or marketing environment. Proficiency in Optimizely A/B testing platform is a must. Experience with analytics tools (e.g., Tableau, Glassbox, Google Analytics). Strong statistical analysis skills. Ability to design experiments, analyze data, and draw valid conclusions. Excellent communication and collaboration skills. Ability to work effectively with cross-functional teams and present findings to stakeholders. Familiarity with user experience principles and best practices is a plus.