Senior Analytics Engineer (AI-Enabled)
Ready to Help Shape How Data and AI Are Used Across the Business?
Are You Someone Who...
- Has expert SQL skills and hands-on experience with dbt in a production environment?
- Understands dimensional modeling deeply, including fact design, star/snowflake schemas, and slowly changing dimensions?
- Has built semantic layers, governed metrics, and trusted datasets that business teams rely upon?
- Is comfortable working across Snowflake and Power BI, including data models, DAX, governed datasets, access controls, and cost-aware design?
- Has practical experience applying AI or generative AI to enterprise analytics and understands the importance of using approved, appropriately secured data?
- Enjoys translating business needs into well-designed data products and explaining technical concepts clearly to stakeholders?
- Wants to help establish standards and build trusted data assets that an organization will rely on for years to come?
If you answered yes, this may be the opportunity for you.
Description
Brandes Investment Partners is seeking a Senior Analytics Engineer (AI-Enabled) to join our newly established Data Office as one of its founding hires. You’ll help build and own the governed analytics layer that supports reporting, self-service analytics, AI, and better decision-making across the firm. The annual base salary range we reasonably expect to pay for this role is $130,000 to $165,000. Placement within the range will depend on several factors, including the candidate’s experience, skills, qualifications, and overall fit for the position, as well as internal equity considerations and market conditions.
Responsibilities
This is a hands-on senior role with the opportunity to help establish our analytics environment and standards from the beginning. You will:
- Design and build the analytics layer in Snowflake using dbt, transforming raw data into trusted, well-documented, reusable models.
- Establish a single source of truth for key business measures by defining and maintaining semantic layers and governed metrics.
- Partner with teams across operations, investments, distribution, and client service to translate business needs into data models, certified datasets, and reporting solutions.
- Build and support governed Power BI datasets and dashboards that enable reliable self-service analytics.
- Identify and deliver AI-enabled analytics use cases, including natural language querying and LLM-powered workflows using governed data.
- Establish strong practices around data quality, documentation, lineage, testing, code review, and CI/CD.
- Partner with the Senior Data Engineer on architecture, data ingestion, performance, and cost-efficient use of the platform.
- Help drive adoption through documentation, training, and enablement while measuring the usage and business value of the solutions delivered
This isn't simply an opportunity to maintain an established reporting environment.
It’s an opportunity to help build the foundation for how Brandes uses trusted data and AI. As one of the founding hires of the Data Office, you'll have the opportunity to establish standards, build governed data assets, and help shape capabilities designed to support the firm for years to come
If you're the kind of person who looks at data and sees the opportunity to make it more trusted, more useful, and more intelligent, we'd like to hear from you.
Job Requirements
We’re looking for a hands-on senior technical builder who combines strong technical depth with business fluency. Candidates require a Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, Finance, or a related field, along with a minimum of six years of experience in analytics engineering, BI development, or data engineering, including at least three years building production data models on a cloud data platform.
The role calls for production experience with dbt and Snowflake, a track record of delivering governed metrics and reporting to business stakeholders, and hands-on experience delivering AI-enabled analytics or generative AI use cases using enterprise data. Experience within financial services, asset management, or another regulated environment is strongly preferred.
Experience with Snowflake Cortex, Python/Snowpark, Airflow, Dagster, Fivetran, Atlan, Alation, or Monte Carlo is also valuable, as is exposure to data governance and data stewardship initiatives.
We provide equal opportunity to all qualified applicants. All candidates will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, gender expression, sexual orientation, disability status, protected veteran status, marital status, or any other characteristic protected by law.
We offer a welcome and inclusive environment that values diversity and a culture in which employees feel empowered to share their perspectives.
Brandes Investment Partners, L.P. will not request credit information or reports (or other sensitive information) from a job candidate via email. Please report any suspicious emails from Brandes at Careers@Brandes.com.
The salary range for this position represents what we reasonably expect to pay at the time of hire. Actual compensation will be based on a variety of factors as permitted by law, including relevant experience, skills, education, and work location. We are committed to equitable and transparent pay practices.