Data Analyst, Loyalytics

Data Analyst, Loyalytics

Company Loyalytics
Job title Data Analyst
Job location Bangalore, Karnataka, India
Type Full Time

Responsibilities:

  • Using data to drive analytical projects across all complexity levels and to generate key business insights & recommendations to enable decision-making
  • Draft daily Revenue, Traffic & other input metric plans/forecasts for different customer cohorts for BAU and event days. Monitoring these metrics & doing deep-dive analyses for problem-solving sessions will also be a key part of the role
  • Being the “data backbone” of the various campaigns run by the team – this will involve designing the experiments, creating various target groups, and measuring the impact of the various initiatives related to pricing and customer relationship management.
  • The recruit will need to liaison with cross-functional teams during the execution of these campaigns
  • Independently leading critical projects with extensive cross-functional collaboration will be a key area of opportunity and learning
  • • Data visualization for easy consumption of insights for org and leadership, defining actionable next steps based on insights

Requirements & Skills:

  • Strong analytical problem-solving skills with an appreciation for Math and Business. 1-3 years of experience as a Data/Business Analyst would be strongly preferred
  • Proficiency in using SQL, and Excel is mandatory.
  • Efficient project and stakeholder management skills. Should have demonstrated the ability to work independently in a highly demanding environment with strict deadlines
  • Strong attention to detail
  • Good communication and presentation skills both written and verbal
  • Hands-on Experience Required:
  • Tools/Languages: – Must-have
    • SQL – Expert Level
    • Advanced Excel – Expert
    • Python – Beginner level
    • Power BI – Expert/Intermediate
    • PowerPoint – Intermediate
    • Databricks – Beginner/Intermediate
    • JIRA – Beginner/Intermediate
  • Good to have:
    • Pyspark
    • Experience in Retail
    • Experience in campaign analytics

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