Global Analytics Analyst - Data Engineering

Position: Global People Analytics Analyst - Data Engineering
Who We Are
Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.

To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.

What You'll Do
As a Data Engineer within the Global People Analytics team, you will help build and scale the data infrastructure that powers workforce insights and decision-making across BCG. You will design reliable, high-performing data solutions that enable analytics, reporting, and automation initiatives supporting global HR operations and strategy.

In this role, you will collaborate closely with data analysts, data scientists, and cross-functional stakeholders to transform complex HR data into trusted, analytics-ready assets. You will contribute to modernizing people data platforms while improving data quality, governance, and operational efficiency across the employee lifecycle.

Key Responsibilities
Design, develop, and maintain scalable data models, data marts, and analytics-ready datasets in Snowflake
Build and optimize data pipelines using dbt, Python, Airflow, and Fivetran
Develop and manage Snowflake-based data warehouse solutions, ensuring performance, scalability, and cost efficiency
Integrate and transform data from diverse internal and external sources into a centralized Snowflake platform
Implement data quality, governance, and monitoring frameworks across the data ecosystem
Enable reporting, self-service analytics, and advanced analytics through well-structured and governed datasets

What You'll Bring
Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, or a related field
2+ years of experience in Data Engineering, Analytics Engineering, or a related technical role
Strong expertise in Snowflake, including data modeling, performance optimization, and data warehousing best practices
Strong problem-solving skills with a focus on data quality, reliability, and performance
Hands-on experience building transformation frameworks with dbt
Advanced SQL skills and experience developing scalable data models

Experience with workflow orchestration tools such as Apache Airflow
Proficiency in Python for data processing, automation, and orchestration
Familiarity with data ingestion and replication tools such as Fivetran

Experience with cloud platforms such as AWS, Azure, or GCP is a plus

Who You'll Work With
You will be part of BCG's Global People Analytics team within the broader People Management Team (PMT). The team focuses on modernizing HR platforms, improving operational efficiency, and enabling data-driven decision-making across the employee lifecycle.

You will collaborate with colleagues across People Analytics, HR Operations, Career Development, Learning and Development, Talent Acquisition, Compensation, and Mobility.

This role offers exposure to global stakeholders and cross-functional initiatives that support BCG's evolving people strategy.

Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
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