Senior Analyst - Adobe

Job Description:

Site Analytics Job Description Implementation & Reporting

Digital Analytics Sr. Developer Job Description

DCF Level: L30
Experience: 4+ years
Team: Intercompany (Market)
Location: Mumbai/Pune/BLR/CJB

What do we expect from the candidate

• Strong Web Analytics resource with good understanding of Google Analytics 4, Adobe Analytics and AEP WebSDK Implementation / CJA
• Help clients learn and understand how they can help their customers online, build segmentation, marketing funnels and customer journeys to better understand paint points and help businesses.
• Solid understanding of how web analytics works and how to implement according to best practice guidelines
• Experience configuring and deploying website tagging and analytics tools for site implementations, including custom events, variables, and dimensions.
• Work with website teams to understand how businesses measure and track customers on websites to support and personalize website content for better customer experience.
• Experience of pulling relevant data from web analytics tools and transforming it into insights
• Understanding of how the ad-serving technology works together to drive campaign performance

Key Responsibilities

Technical and technology skills

• Ability to lead the client conversation, understand the requirement and help create BRD
• Ability to design, implement, and QA 1st party tracking solutions via multiple Tag Management Systems including Google Tag Manager, Tealium iQ, and Adobe Launch.
• Ability to design, implement, and QA implementation of 3rd and 2nd party tracking via multiple Tag Management Systems including Google Tag Manager, Tealium iQ, and Adobe Launch.
• Ability to design, debug and implement enhanced eCommerce tracking via the data layer and within Google Tag Manager, Tealium iQ, and Adobe Launch.
• Familiarity with Javascript (Vue and React frameworks) in order to support the design of custom data layer JSON objects for Websites, applications and digital touchpoints.
• Familiarity with HTML and CSS to support DOM scraping based tracking and tagging.

Insight Generation

• Working with market leading brands you will be responsible for delivering insight and strategic outputs that improve performance
• In-depth analysis of web analytics data (Google Analytics, Adobe Analytics, Tealium IQ)
• Analysis of media campaigns using Ad server data and beyond.
• Understanding of attribution modelling and its impact upon media buying decisions

Data science and digital analytics

• Apply critical thinking and statistics to help solve business and customer issues, identifying opportunities and helping drive business outcomes.
• Use numerate and statistics to understand online behavior, applying critical thinking to strategy development for ideating changes for websites and digital media strategies.
• Support CRO and hypothesis generation in both the Google and Adobe technology stacks

Product Development

• Help develop and refine our insight proposition to clients to ensure we are delivering world-class services

The successful candidate will have the following skills:

• Strong communication skills, with the ability to explain complex concepts in lay language.
• Proficiency in developing detailed tag management solution designs.
• Extensive experience in deploying and developing tracking solutions (tags) in Launch, GTM and Tealium IQ.
• Good analytical skills ideally coupled with creative approaches to problem solving.
• The ability to perform detailed statistical tests and analysis.
• The ability to juggle several tasks at once and consistently deliver to high quality and to timescale
• The ability to build and maintain strong working relationships internally and externally
• Ability to pick up and run with projects when necessary
• Extensive experience in using Adobe Analytics and Google Analytics to create reports
• Proven capability in analyzing offline (CRM) data and online data to develop actionable insights for the purposes of CRO and hypothesis generation.
• Excellent statistics skills, with the ability to derive insights and logical conclusions from a variety of data types.
• Strong knowledge of SQL, Google Bigquery, python and statistics.

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