Data Analyst

Job Overview

4-8 Years
UK
UG

Job Responsibilities:

  • Partner with analytics teams of leading digital businesses, to design & deliver high-impact analytics solutions to a variety of business problems spanning product, marketing and customer insights.
  • Structure and analyse major business and customer questions through a hypothesis-driven approach.
  • Translate business objectives into actionable analysis and own end-to-end analytics, and effectively communicate complex analytics to a broader audience in writing and presentation formats.
  • Create insightful automated dashboards and data visualisations to track key business metrics.
  • Be an effective execution as well as thought partner to clients, being equally comfortable in taking a bird view of the business problems as well as get involved in the minutiae of data wrangling and analysis.

Must have:

  • Need to be very strong in Advance SQL.
  • 4-8 years’ experience in core analytics (product, marketing or customer insights). Marketing Analytics is preferred.
  • Experience in Experimentation or A/B Testing is preferred.

Mandatory Skills and Qualifications:

  • 4-8 years’ experience in core analytics (product, marketing or customer insights).
  • Worked with business for better understanding of business problems, identifying the right data elements for the analysis, and designing an analytical solution framework to address the problem
  • Worked in analytical modelling, solution design, data sampling, variable design, segmentation analysis, and development of statistical models
  • Strong hands-on SQL, experience in R/Python, scripting & automation, visualisation tools like Tableau or equivalent. Experience in forecasting, A/B testing, Data Science/Machine Learning is a plus
  • Strong communication skills, written and verbal; ability to present data and its implications in a clear, concise manner.
  • Strong research and analytical mindset and extremely detail-oriented
  • Self-motivated, energetic, “can-do” attitude in a fast-paced environment
  • Ability to manage priorities across multiple stakeholders.