Job Description

We are looking for a smart and passionate

Senior Web Data Analyst who will analyse and interpret web data, provide valuable insights to drive strategic decision-making for our digital initiatives.

Key Responsibilities

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.

Nice to Have:

Experience using Python, SciKit, SQL, Snowflake, hit-level Adobe Analytics data, product usage data, Jupyter Notebooks, Amazon SageMaker, Airflow, Github. Proficiency with data mining, mathematics, and statistical analysis techniques. Experience with predictive modelling techniques, unsupervised, supervised, reinforcement, causal inference machine learning techniques. 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 Data Analyst. Proficiency in SQL & Adobe Analytics is a must.

Analytical and Personal Skills

Must have good logical reasoning and analytical skills. Good Communication skills in English - both written and verbal. Demonstrate Ownership and Accountability of their work. * Attention to details.