131 Ab Testing Jobs - Page 6

About The Role We are seeking a skilled Segmentation Specialist proficient in Adobe Analytics, Adobe Experience Cloud and CDP to join our innovative marketing team. The Segmentation Specialist will be instrumental in leveraging these platforms to develop and execute advanced segmentation strategies aimed at optimizing customer engagement and driving business growth. The ideal candidate should possess a deep understanding of Adobe Analytics capabilities, strong analytical skills, and the ability to translate data insights into actionable segmentation strategies. The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Roles and responsibilities: Utilize Adobe Analytics and Adobe Experience Cloud to develop comprehensive customer segmentation strategies based on behavioral, demographic, and psychographic data. Collaborate closely with marketing, sales, and product teams to understand business objectives and translate them into effective segmentation tactics. Analyze and interpret complex data sets using Adobe Analytics to uncover actionable insights and trends related to customer behavior and engagement. Design and implement A/B testing and multivariate testing strategies within Adobe Experience Cloud to optimize segmentation effectiveness. Monitor key performance indicators (KPIs) related to segmentation performance, providing regular reports and insights to stakeholders. Continuously optimize segmentation models and strategies based on performance metrics and industry best practices. Ensure data integrity and accuracy within Adobe Analytics and Adobe Experience Cloud, working closely with data analytics teams as needed. Technical and Functional Skills: Bachelors degree in Marketing, Business Administration, Statistics, or a related field, Masters degree preferred with 4+ years of work experience with Adobe Analytics and Adobe Experience Cloud in a segmentation or analytics role. Proficient in using Adobe Analytics tools such as Analysis Workspace, Report Builder, and Data Workbench. Strong understanding of digital marketing concepts and methodologies, including segmentation, targeting, and personalization. Advanced analytical skills with the ability to interpret complex data sets and derive actionable insights. Excellent communication and presentation skills, with the ability to convey technical information to non-technical stakeholders. Ability to work independently and collaboratively in a fast-paced environment, managing multiple projects and priorities. Experience with A/B testing, multivariate testing, and optimization techniques within Adobe Experience Cloud is highly desirable. Knowledge of data privacy regulations (e.g., GDPR, CCPA) and their implications for data handling and segmentation practices. Banking and Financial domain experience will be preferred.

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Understand the business model on why things are the way they are, ask relevant questions and get them clarified Breakdown complex problems in small solvable components, to be able to identify problem areas in each component Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making Facilitate the implementation of new or improved business processes and systems Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects Prescribe suitable solutions with an understanding in limitations of toolsets and available data Fetch and analyze data from disparate sources and drive meaningful insights Provide recommendations on the business rules for effective campaign targeting Interpret analytical results and provide insights; present key findings and recommended next steps to clients Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models Audit deliverables ensuring accuracy by critically examining the data and reports against requirements Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices Actively work on audience targeting insights, optimize campaigns and improve comm governance Technical and Functional Skills: B Tech / BE / BSc / MBA degree or equivalent professionalDegreewith 10+ years of experience in marketing analytics or performance marketing professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization Reporting - Data Extraction tools, Advanced Excel, CRM Analytics, Campaign Performance Marketing, Analytics knowledge- Campaign Analytics Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) 10 years of relevant experience in analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data Very Strong in SQL execution Advanced knowledge in using Power Bi reporting tool Experience in marketing analytics or performance marketing, concepts around campaign operations shall be clear like how does a paid media marketing works, campaigns acquisition, reactivations, cross-selling, brand awareness, measure and optimize the campaigns etc., Comfortable working autonomously with broad guidelines Passion for data andanalytics for marketing and eagerness to learn Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing Experience with Google sheet/Excel Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in campaign performance marketing and CRM MMM, A/B testing, attribution modeling is a plus Working knowledge of analytical/statistical techniques Experience in Hadoop environment- Hive, Presto is a plus Experience in Python/R

About Guidesly: Do you enjoy the Outdoors? Are you an enthusiast who wants to work in a place where you can follow your personal and professional passions? Guidesly is a well-funded startup building software for the Outdoor industry. Mobile apps, SaaS software, product services, and websites; we have a bit of everything. Sophisticated technology and a dream to change the world. If your passion is the outdoors and you want to live your dream, then this is your job. Work with guides, build products, get honest feedback from enthusiasts to create the very best solutions in the marketplace. The outdoor recreation industry includes fishing, wildlife, boating, water sports, snow sports, hunting, ATV, hiking, and biking. We are starting with the fishing vertical in the outdoor recreation industry. The product manager will work with professional guides throughout the United States and enthusiasts in all fishing varieties. Key Responsibilities: Heap Implementation & Management. Own end-to-end management of Heap: event tracking, custom properties, naming conventions, and data governance. Partner with product and engineering to ensure consistent and accurate instrumentation across platforms (web/app). Continuously audit and optimize tracking to ensure data cleanliness and trust. Data Analysis & Insights Analyze user behavior to identify friction points, drop-offs, and opportunities to improve product UX and conversion. Build dashboards, reports, and segments to track feature adoption, funnels, cohort behavior, and retention. Drive experimentation and A/B testing strategy, partnering closely with product managers and designers. Strategic Impact Translate data into actionable recommendations that influence product roadmap, marketing strategies, and go-to-market decisions. Support OKR tracking with real-time dashboards and periodic reporting. Required Skills & Qualifications: Heap Analytics Strong experience setting up and using Heap for tracking and analysis Event Tracking Knows how to create, manage, and clean up event data SQL Can write queries to get answers from raw data Data Dashboards Can build clear reports using tools like Heap A/B Testing Understands how to run experiments and interpret results Key skills: Heap Analytics, SQL, Data Dashboard, A/B Testing.

We're looking for a sharp, data-driven Performance Marketing Specialist to join our in-house team. This on-site role requires someone who thrives on numbers, understands creative performance, and has the clarity to build high-converting journeys from ad click to checkout. You'll be responsible for managing paid marketing campaigns across Meta, Google, and other performance channels with the goal of driving measurable ROI. Key Responsibilities: Plan, launch, and optimize ad campaigns across Meta Ads, Google Ads (Search, Shopping, Display, YouTube), and more. Analyze performance metrics ( ROAS, CTR, CPA , etc.) to make data-backed optimizations. Develop creative concepts and write ad copies independently to minimize dependency on the content team. Coordinate with the design team to produce visuals based on strong creative briefs. Structure and ideate high-conversion landing pages. Manage GA4, Google Tag Manager, Pixel tracking. Leverage CRO techniques to improve campaign performance and user experience. Conduct A/B testing and audience targeting experiments. Generate reports and actionable insights using analytics tools. Required Skills & Qualifications: 2+ years of performance marketing experience ( e-commerce preferred ). Proficiency in Meta Ads Manager, Google Ads, automation and retargeting strategies. Strong knowledge of GA4 , Google Tag Manager and Pixel tracking. Excellent visualization skills to conceptualize static/video creatives. Expertise in conversion rate optimization (CRO) and data-driven decision-making. Strong written communication for crafting ad copies. Proficiency in budget planning, bid strategy optimization, and audience segmentation. Analytical mindset with a focus on campaign ROI and conversion funnels. Experience with tools like Google Sheets/Excel, Microsoft Clarity, Hotjar, or similar. Nice to Have: Certification in Google Ads/Facebook Blueprint is a plus. Prior experience in a product-based D2C brand is preferred. What We Offer: A dynamic and collaborative work environment. Competitive salary + performance-based incentives (TBD post skill assessment and interview). Opportunities for career growth and professional development. Exposure to exciting projects and campaigns in the e-commerce space. Get surrounded with the latest and greatest in Mobile tech. Location: Poonamallee High Road, Purasaiwalkam. Near Egmore Suburban and Metro Station. Google Map Location: https://goo.gl/maps/pAFQLEtsjdwjP3fe7

Job Summary: We are looking for a highly motivated and skilled Assistant Manager with strong experience in Data Analysis domain to join our growing team with demonstrated experience in handling large data sets and relational databases. Job Responsibilities: Demonstrate strong analytical and statistical skills towards taking complex business problems, wide variety of quantitative data, and provide structured and data-supported practical solutions towards optimizing shipping problems. Serve as a trusted partner to business units, translating complex analytical results into business insights, create necessary tools/reports to monitor and ensure program success. Ability to interpret complex data sets with the Strong Problem-solving skills. High level of attention to detail to ensure accuracy in data analysis and documentation. Proven track record of using analytics to drive significant business impact, creating deep-dives and presenting work efficiently. Ability to work with stakeholders to assess potential risks. Ability to analyze existing tools and databases and provide software solution recommendations. Ability to translate business requirements into non-technical, lay terms. Required Skills: B.Tech in a quantitative field like Engineering, Computer Science, Mathematics etc. 5+ years of relevant analytics experience - Strong analytical skills with expertise in SQL, and Excel. Proficiency in Python hands-on. A/B testing, very good ability with Quant (prior experience in Business performance analytics roles good to have) Campaign/promo measurement Good communication skills, with experience working in a fast-paced environment with cross-functional teams. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

Role Overview: As a Data Scientist within IBM's Chief Analytics Office, you will support AI-driven projects across the enterprise. You will apply your technical skills in AI, machine learning, and data analytics to assist in implementing data-driven solutions that align with business goals. This role involves working with team members to translate data insights into actionable recommendations. Key Responsibilities: Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Support the implementation and optimization of AI-driven strategies per business stakeholder requirements. Help refine data-driven methodologies for transformation projects. Data Science and AI: Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyze complex datasets and generate actionable insights. Learn and utilize cloud platforms to ensure the scalability of AI solutions. Leverage reusable assets and apply IBM standards for data science and development. Project Support: Lead and contribute to various stages of AI and data science projects, from data exploration to model development. Monitor project timelines and help resolve technical challenges. Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs. Collaboration: Ensure alignment to stakeholders’ strategic direction and tactical needs. Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Contribute technical expertise to cross-functional teams. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Education: Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree strongly preferred Experience: 5+ yearsof experience in data science, AI, or analytics with a focus on implementing data-driven solutions Experience with data cleaning, data analysis, A/B testing, and data visualization Experience with AI technologies through coursework or projects Technical Skills: Proficiency in SQL and Python for performing data analysis and developing machine learning models Knowledge of common machine learning algorithms and frameworkslinear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch Experience with cloud-based platforms and data processing frameworks Understanding of large language models (LLMs) Familiarity with IBM’s watsonx product suite Familiarity with object-oriented programming Analytical Skills: Strong problem-solving abilities and eagerness to learn Ability to work with datasets and derive insights Other Requirements: Good communication skills, with the ability to explain technical concepts clearly Enthusiasm for learning and applying new technologies Strong project management skills, with the ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment Successful completion of Coding Assessment Preferred technical and professional experience Advanced degree strongly preferred