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Senior Data Analyst - Product Analytics
4-8 years
Gurgaon / Gurugram
1 vacancy
Senior Data Analyst - Product Analytics
SE2 DIGITAL SERVICE LLP
posted 27d ago
Job Role Insights
Fixed timing
Key skills for the job
Job Description
- Work collaboratively with the Life & Annuity product team and assist them on the three fronts of analytics: monitoring and measurement, research and experimentation and help drive the analytics roadmap.
- Drive analytical projects such as product feature discovery, user segmentation/ targeting strategies and product vision strategies.
- Help our teams move beyond visualizations and utilize inferential and causal modelling to uncover deeper trends from a quantitative perspective, and design and test interventions.
- Create visualizations intended to monitor business performance or uncover interesting trends to investigate
- Lead the test and learn process for exploratory data analysis and A/B testing. This includes helping stakeholders decide on testing strategy, generating baselines, approximating sample sizes and performing analysis of test results.
- Partner with data engineering on new data pipelines and ingestion requests as well as advise on data model improvements.
- Wrangle and stitch together many disparate data sources and uncover deep insights to drive your team forward.
- Mentor data analyst team members and learn from data scientists to advance into predictive and algorithmic solutions.
- Drive data analysis code best practices and analysis standards
- You have 5+ years of analytics/ product analytics experience focused on analyzing data centered around user behavior, customer segmentation and product feature evaluation.
- You have experience consolidating data from various data sources and familiarity with events tracking management
- You are proficient with analytics platforms and code in R or Python, use SQL/relational cloud databases efficiently
- You have experience with web analysis such as creating product funnels, user behavior, and paths
- You have experience with designing and analyzing experiments including but not limited to A/B testing
- You understand business metrics such as CAC, LTV, Conversion Rates and can apply them to your decision making and prioritization as well as creating and managing analysis frameworks
- You understand statistics and base models such as linear and logistic regression, segmentation methods, time series analysis, outlier and anomaly detection, categorical data analysis, and causal impact modelling!
- You are well-versed in product techniques, product discovery process and product metrics such as cohort analysis, funnel analysis and experimentation.
- You have experience with relational cloud databases like Redshift, BigQuery, Snowflake, but you are also comfortable working with unstructured files and datasets
Employment Type: Full Time, Permanent
Functional Areas: Other
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