GrowExx is a technology consulting firm specializing in AI and intelligent automation. They help businesses achieve significant growth by leveraging AI, generative AI, data engineering, and product development. Their services include AI development, consulting, and hiring AI engineers, as well as expertise in areas like OpenAI, ChatGPT, and prompt engineering. GrowExx also offers data engineering services such as business intelligence, data analytics, and data warehousing. They focus on delivering digital transformation tailored to various industries, providing scalable, secure, and future-ready solutions. The company emphasizes an agile approach, design thinking, and a lean mindset in building innovative business-centric solutions. They have a team of over 250 technologists with a global presence in the USA, Canada, MENA, and India.
GrowExx is a technology consulting firm specializing in AI and intelligent automation. They help businesses achieve significant growth by leveraging AI, generative AI, data engineering, and product development. Their services include AI development, consulting, and hiring AI engineers, as well as expertise in areas like OpenAI, ChatGPT, and prompt engineering. GrowExx also offers data engineering services such as business intelligence, data analytics, and data warehousing. They focus on delivering digital transformation tailored to various industries, providing scalable, secure, and future-ready solutions. The company emphasizes an agile approach, design thinking, and a lean mindset in building innovative business-centric solutions. They have a team of over 250 technologists with a global presence in the USA, Canada, MENA, and India.
We are looking for a smart and passionate
Sr. Web/Product Data Analyst
. Who will analyse and interpret web data, provide valuable insights to drive strategic decision-making for our digital initiatives.
Key Responsibilities:
Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.
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Product Designer
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Product Designer
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Software Engineer
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Full-time • Cambridge, GB
Technical Writer
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Contract • Cambridge, GB
Mine, and analyse granular hit/event level web, product, sales, and digital marketing data.
Build Tableau dashboards to support product stakeholders.
Build Tableau data sources that can allow for self-serve usage of product and web data.
Build conversion funnels across multiple product lines to help product teams understand the complete customer journey.
Develop customer segmentation models and activation testing plans.
Work with data engineers to improve and maintain the customer360 and API data models by defining new feature requirements, making improvements to taxonomy, and identifying bug fixes.
Work with cross-functional teams (BI Enterprise Data Warehouse, Salesforce MOPS, IT, Product teams) to gather and refine requirements for metrics and dashboards needed by product stakeholders.
Develop a good understanding of the business's model, objectives, issues, and challenges by interacting and collaborating with leaders and stakeholders.
Key Skills:
Experience using Tableau Desktop/Creator, Adobe Analytics, Amplitude.
Advanced SQL knowledge.
Experience with cookie-level advertising platform data (Google, Bing, Epsilon, LinkedIn, Facebook etc.) and measuring demand generation KPIs (ROAS, CTRs, Impressions, MTA Attribution, MMM).
Experience with cookie-level web/product data and KPIs like usage, conversion funnels, bounce rates, unique visitors, sessions, hits/events, pathing and journey optimization.
Experience with Customer Journey Analytics, including mapping cross-channel touchpoints, analyzing end-to-end user flows, and identifying key moments that impact conversion.
Experience with designing A/B/Multivariate/Lift testing and measurement for both digital and offline demand generation channels.
Experience gathering and refining requirements from business stakeholders.
Experience communicating dashboards and findings to both technical and non-technical audiences.
Experience with the following ML steps: data prep, choosing model, feature creation and selection, training, evaluation, parameter tuning, making predictions.
Education and Experience
B Tech or B. E. (Computer Science / Information Technology)
5+ years of experience as Web/Product Data Analyst.
