Senior Analytics Engineer

Roles & Responsibilities

As a Senior Analytics Engineer, you will lead efforts to develops calable data solutions that enhance feature-level insights, user engagement measurement, and decision-making for the Product Analytics team. You will build and optimize data pipelines, semantic layers, and dashboard sto deliver actionable insights on howusers interact with in-app features, content discovery, and engagement-driving elements.

Design and implement scalable data models

feature attribution

behavioral analytics

Partner with Product Analytics stakeholders

in-app engagement, navigation, and personalization signals

Strong understanding of SDKs and event stream data

analytics instrumentation proposals

Advance automation efforts

Leverage machine learning & statistical modeling techniques

Develop frameworks

Optimize data processing pipelines and ETL workflows

Improve experimentation infrastructure

Set goals and targets for Core Product OKRs

data science methodologies, machine learning models, and statistical forecasting techniques

Create systematic solutions for solving data anomalies

Work with cross-functional teams

data governance, experimentation analytics, and dashboarding strategies

Identify and explore new opportunities through creative analytical and engineering methods

Technical Skills

5+ years of experience

streaming, digital products, or consumer analytics

Advanced SQL skills

clean, efficient queries

Experience in designing scalable data models

Proficiency in Python

Experience with machine learning techniques

clustering, regressions, decision trees, and classification models

Experience with big-data technologies

Spark, Hive, Kafka, Airflow, or Snowflake

Advanced experience with BI tools

Looker, Tableau, or Mode

Familiarity with A/B testing frameworks

Experience working with event-based data

behavioral tracking and feature usage analysis

Strong understanding of statistical analysis

Business & Product Analytics Skills

Deep understanding of streaming product analytics

content engagement, recommendation effectiveness, and user navigation trends

Experience in feature attribution modeling

Knowledge of user segmentation frameworks

Ability to define and track product success metrics

feature adoption, engagement drivers, and content discovery pathways

Soft Skills

Strong written and verbal communication skills

Ability to manage multiple projects

Strong organizational skills

Proactive problem-solver