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7.0 - 10.0 years
0 Lacs
Chandigarh, India
On-site
Experience Level 7 10 + Yrs. Roles and Responsibilities: Collaborate with stakeholders to gather digital analytics requirements and translate them into actionable tracking strategies. Implement and configure Adobe Analytics using Adobe Launch (Client-Side and Web SDK) and set up data layers. Set up and manage custom eVars, props, events , classifications, and Analysis Workspace dashboards . Perform end-to-end QA and validation of tags to ensure accurate tracking and data integrity. Build interactive and insightful dashboards in Adobe Analytics Workspace to visualize performance and user behavior. Translate data into clear, actionable insights and business recommendations that inform digital marketing, product strategy, and UX decisions. Define KPIs and measurement strategies aligned with business goals and customer journeys. Present data-driven stories to business and leadership teams, using visuals and narratives to influence strategic decisions. Troubleshoot and resolve issues with implementation, reporting, and data discrepancies. Implement and manage third-party pixels and marketing tags (e.g., Meta, Google, LinkedIn) through Adobe Launch. Monitor site performance and user interaction patterns to uncover optimization opportunities and A/B test hypotheses. Stay current with Adobe product releases, digital analytics trends, and industry best practices. Technical and Functional Skills: Bachelor's degree with 67 years of hands-on experience in Adobe Analytics and Adobe Launch implementation . Strong proficiency in Adobe Analytics Workspace report building, segmentation, calculated metrics, and data storytelling. Expertise in configuring Adobe Launch rules, events, extensions , and deploying custom tracking codes. Strong understanding of JavaScript, HTML, CSS , and web development debugging tools (e.g., Charles, Adobe Debugger). Experience with data layer architecture , solution design documents, and tag documentation. Deep understanding of digital KPIs, conversion funnels, attribution models , and behavior analysis. Proven ability to analyse large datasets , detect trends, uncover root causes, and propose actionable recommendations. Excellent communication and storytelling skills to convey insights and influence decision-makers. Experience with A/B testing tools (e.g., Adobe Target, Optimizely) and interpreting test results is a plus. Exposure to Customer Journey Analytics (CJA) , Real-Time CDP, or cross-channel segmentation is a bonus.
Posted 2 days ago
5.0 - 10.0 years
15 - 27 Lacs
Noida, Bengaluru
Work from Office
Title:5+ years of experience in analytics / marketing analytics, Data Science and AB testing Location: Noida & Bangalore (WFO) Job Description: Web and A/B Testing & Optimization AnalystPosition Summary: As a Web / AB Testing & Optimization Analyst for the Adobe.com and Customer Insights team, you will be using many of the tools in the Adobe Marketing Cloud (i.e. Adobe Analytics, Target) as well as working in a new state-of-the-art Big Data (Hadoop) environment. As an extended member of a globally distributed analytics team, you will be responsible for analytics associated with Adobes web, mobile and in-product Testing Program. The successful candidate will be responsible for supporting an ongoing Marketing Optimization program in US/EMEA/APAC as well as driving insights from behavioral analysis. Specific responsibilities include calculating test results of A/B Split and Multivariate tests, supporting ideation processed and coming up with hypotheses, reviewing test charters (ie. critiquing test hypothesis and ensuring methodological rigor and proper configuration). The candidate will also be required to deep dive on customer journeys to extract insights on how the website and content is performing. The ideal candidate is a strategic, analytical thinker, results and detail oriented, and possesses the know-how to help optimize business performance. You must be a self-starter, have demonstrated ability to influence decision makers with data, be comfortable with change and have a desire to learn new tools and analytics techniques. Success in this role greatly depends on your ability to work in a matrixed environment, building rapport and developing effective working partnerships with internationally based team counterparts. Job Description: Responsibilities: Review test hypotheses, help develop comprehensive test plans and success metrics, performing quality assurance on test cells, and calculating the final test results and deep dive analysis of the test results and craft Test Summaries using both behavioral and voice of the customer analytics to provide actionable insights for key business stakeholders. Use experimental design to optimize website and marketing activities as well as new in-product initiatives. Utilize best-in-class analytics tools, including the Adobe Marketing Cloud (eg. Target, Adobe Analytics etc.) to analyze test results and provide interpretation, guidance, and recommendations to aid marketing decision making Partner with Marketing to identify key visitor segments, draft user stories for the ideal customer experience for each segment Monitoring changes and trends of online for customer behavior Effectively respond to requests for ad hoc analyses. Collaborate with other team members to synthesize learnings from other analyses/sources to present holistic analysis and recommendations to stakeholders. Ensure solutions are scalable, repeatable, effective, and meet the expectations of stakeholders. Identify opportunities to teach stakeholders basic analytics to educate and empower users. Skills Proficient in Adobe Analytics, Analysis Workspace, Excel, PPT and SQL. Expert in A/B and Multivariate testing, design of experiments, the mathematics of statistical hypothesis testing coupled with the ability to draw meaningful business insights across multiple tests. Experience with web analytics tools such as Adobe Analytics (strongly preferred) or Google Analytics Good understanding of Microsoft Excel, SQL , Visualization and experience with Big Data tools like Hadoop and Hive. Knowledge of test design and combining disparate data sources is a plus.
Posted 1 month ago
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