Home
Jobs
Saved
Resumes
Senior Analytics Engineer at ItsaCheckmate | JobVerse
JobVerse
Home
Jobs
Recruiters
Companies
Pricing
Blog
Jobs
/
Senior Analytics Engineer
ItsaCheckmate
Remote
Website
LinkedIn
Senior Analytics Engineer
India
Full Time
2 hours ago
No H1B
Apply Now
Key skills
Airflow
Amazon Redshift
BigQuery
ETL
Kafka
Python
Spark
SQL
Vault
ML
ELT
Data Engineering
Analytics
Snowflake
Redshift
dbt
Statistical Analysis
Leadership
Mentoring
A/B Testing
About this role
Role Overview
Translate ambiguous business questions into structured analytical frameworks
Develop KPI definitions, metric layers, and standardized reporting logic across teams
Partner with Product and Growth teams to define success metrics and measurement strategies
Deliver deep-dive analyses on ordering behavior, churn risk, marketplace performance, and operational efficiency
Present insights and trade-offs clearly to senior stakeholders and leadership
Own and scale A/B testing infrastructure, including experiment tracking and evaluation pipelines
Define best practices for hypothesis testing, power analysis, sequential testing, and causal inference
Build experimentation dashboards and automated reporting systems
Partner with Data Science to productionize predictive models and design reusable ML-ready datasets
Support feature engineering and monitoring for production ML systems
Design and maintain scalable ELT/ETL workflows that power analytics, experimentation, and ML use cases
Build and optimize dimensional data models (star schemas, data vault, etc.) to enable self-service analytics
Create trusted, well-documented datasets for product, finance, operations, and growth teams
Improve data quality, observability, lineage, and governance across the analytics ecosystem
Optimize performance across warehouse and transformation layers
Drive best practices in analytics engineering across the organization
Influence tooling decisions (Airflow, dbt, Snowflake, Spark, etc.) with scalability and business usability in mind
Mentor analytics engineers and elevate modeling and measurement standards
Champion a data-driven culture grounded in experimentation and measurable impact
Requirements
7+ years of experience in analytics engineering, data engineering, or advanced analytics roles
Deep expertise in SQL and modern data modeling techniques
Strong proficiency in Python (or similar) for data transformation, statistical analysis, and ML integration
Experience working with modern data stack tools (e.g., Airflow, dbt, Snowflake, BigQuery, Redshift, Spark)
Proven experience building scalable data warehouse environments
Strong understanding of statistics, hypothesis testing, and causal inference
Experience designing and operating A/B testing frameworks
Ability to define metrics, KPIs, and experimentation standards across teams
Experience supporting production ML workflows or predictive modeling initiatives
Strong systems thinking with the ability to connect technical decisions to business outcomes
Experience in restaurant technology, POS systems, or digital ordering platforms
Exposure to customer lifecycle analytics, marketplace analytics, or growth experimentation
Familiarity with real-time data pipelines (e.g., Kafka or similar)
Experience mentoring engineers or leading cross-functional initiatives
Tech Stack
Airflow
Amazon Redshift
BigQuery
ETL
Kafka
Python
Spark
SQL
Vault
Apply Now
Home
Jobs
Saved
Resumes