Senior Business Intelligence Engineer – Product & Customer Analytics

Responsible for analyzing product performance and customer behavior to generate insights that guide product development and business strategy. This role combines data analysis, statistical modeling, and business intelligence to evaluate how customers interact with digital entertainment platforms and product features across multiple devices and services. The position focuses on transforming large-scale data into actionable insights that improve product experiences and support strategic decision-making.

The role requires translating business questions into structured analytical plans, extracting and analyzing large datasets, and presenting clear insights to both technical and business stakeholders. Success in this position requires strong analytical thinking, expertise in SQL and data platforms, and the ability to communicate complex findings in a way that informs product and business decisions.

Experience Requirements

2–4 years of experience working with large-scale and complex datasets

Strong experience using SQL to query and analyze large data warehouses

Experience working with cloud-based data infrastructure and analytics tools

Demonstrated ability to translate business questions into analytical frameworks and insights

Experience performing statistical analysis and experimentation, including A/B and multivariate testing

Team & Analytics Overview

The business intelligence team provides data-driven insights that support product strategy and customer experience improvements across digital entertainment services. The team operates at the intersection of technology, statistics, and data analysis to understand customer behavior and evaluate the performance of product features.

Analytics initiatives typically begin with identifying key business questions and defining the metrics needed to measure performance. From there, the team extracts and analyzes relevant data from large-scale data warehouses, conducts experimentation and statistical analysis, and communicates findings to product and business leaders.

The environment is fast-paced and analytical, with close collaboration between data engineers, product teams, and business stakeholders to continuously improve product performance and customer engagement.

Core Responsibilities

Evaluate product feature performance using metrics related to customer response, product usage, conversion, and retention

Conduct statistical analysis of A/B tests and multivariate experiments to measure product impact and user behavior

Design, build, and maintain metrics frameworks and reporting systems that support product and customer insights

Respond to ad hoc analytical requests from business leaders to investigate customer behavior and unusual usage patterns

Perform exploratory data analysis to identify trends, anomalies, and opportunities within large datasets

Apply data mining, modeling, and segmentation techniques to uncover meaningful patterns in customer behavior

Extract and analyze data from large-scale data warehouse systems to support decision-making

Present analytical findings and recommendations to stakeholders in a clear and actionable manner

Participate in both strategic and tactical planning discussions by providing data-driven insights

Work Environment

Collaborative environment working closely with product, engineering, and business teams

Monday–Friday schedule with a standard 40-hour work week

Focus on analytical problem solving and data-driven decision making

Regular engagement with product owners and business leaders to support strategic initiatives

Must-Have Skills

Strong analytical mindset and ability to translate business questions into structured analytical plans

Advanced SQL proficiency for querying and analyzing large datasets

Experience working with cloud-based data infrastructure and analytics platforms

Nice-to-Have Skills

Strong communication skills with the ability to work effectively with both technical teams and business leaders

Education

Bachelor’s degree in a quantitative or technical field (or equivalent experience)