AddressResponsibilities:
- Develop and maintain clear, concise reporting on KPIs measuring online support performance by analysing web metrics.
- Mine and analyse data to identify patterns and correlations among the various data points.
- Perform end-to-end analysis across all digital touchpoints, including data gathering from large and complex data sets, data processing, and analysis.
- Conduct in-depth analysis of user behavior, customer journeys and other relevant metrics to understand the effectiveness of digital initiatives and identify areas for improvement.
- Present findings from analytics and research and make recommendations to business teams.
Requirements:
Must Have:
- At least 6 years of experience working in the field of analytics, reporting out metrics and deep dive analytics.
- Strong proficiency with Advanced SQL (Window Functions, DML Commands, DDL Commands, CTEs, Sub Queries,etc) for data analysis and building end to end data pipelines.
- Ability to write complex queries and understanding of database concepts.
- Strong analytical problem solving skills and an aptitude for learning quickly.
- Expert in data analysis and presentation skills.
- Exceptional communication and collaboration skills.
Nice to have:
- Experience in web analytics and tools like (Adobe Omniture, Google analytics etc)
- Experience with programming languages like Python & Unix Shell for data pipeline automation and analysis.
- Knowledge of statistics concepts and Machine learning algorithms like regression, clustering etc.
Education:
- Bachelors with Post-Graduation in Management Science and related fields.
- At least 2-4 years of relevant experience in analytics organisations of large corporates or in consulting companies in analytics roles.
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