Data Analyst

At Eccentric, we are privileged to co-build the virtual world with some of the best minds of our time. Since 2016, we have been engaged in the Virtualisation of Automotive Retail. We have helped leading Automotive Brands in the World optimize the power of Virtual Interactions.

We are looking for a Data Analyst at Eccentric. You will be responsible to gather, organize and interpret statistical information and scrutinize data using various tools and techniques to generate information that helps others make decisions.

Eccentric’s Mission

We are building a Showroom-like experience in a virtual world where a vehicle buyer

  • Can take a 3D walkthrough of all models/variants/trims on sale
  • Can customize the vehicle and see exactly how it looks like and how much it will cost
  • Can take a ‘Virtual Consultation’ with a sales agent in the virtual world (some like to call it Metaverse)

What you’ll do

  • Use Google Analytics to collect, process, and analyze data from various digital platforms.
  • Develop and maintain dashboards, reports, and visualizations to communicate key metrics and insights.
  • Collaborate with Development, product, and sales teams to understand data needs and objectives.
  • Identify and interpret trends or patterns in complex data sets to provide actionable insights.
  • Conduct A/B testing and other analyses to measure the impact of website changes, and user behavior.
  • Assist in setting up Google Analytics tracking, including event tracking, goals, and custom dimensions.
  • Ensure data accuracy by troubleshooting and validating analytics implementations.
  • Present findings and recommendations to stakeholders in a clear and concise manner.
  • Continuously monitor and optimize key performance indicators (KPIs) for various digital channels.
  • Stay updated on the latest Google Analytics features, data privacy regulations, and data analysis best practices.

What we seek

  • Experience of 1-3 years as a Data Analyst.
  • Bachelor's degree in data science, Statistics, Computer Science, or a related field.
  • Proven experience as a Data Analyst with a strong focus on Google Analytics.
  • Proficiency in SQL, Excel, Google Tag Manager and Adobe Analytics is must.
  • Experience with data visualization tools (e.g., Tableau, Power BI, Looker Studio) is a plus.
  • Knowledge of Python and Big Query is an added advantage.
  • Experience with hypothesis testing, correlation analysis, and regression modeling is a plus.
  • Strong analytical skills with the ability to collect, organize, and analyze significant amounts of information.
  • Familiarity with digital marketing concepts, SEO, PPC, and web analytics.
  • Excellent communication skills with the ability to present complex data insights in an understandable way.
  • Strong problem-solving skills and attention to detail.
  • Ability to work independently as well as in a collaborative team environment.

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