Senior Data Analyst

Job Category: Engineering
Job Experience: 5+ years
Job Type: Full Time
Job Location: Work From Anywhere
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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:

  • Mine, and analyze 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 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 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 modeling 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 experience as a Data Analyst or similar roles

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 

Work with the problem solver engineers team

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