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Senior Analytics Engineer (AI-Enabled)

$130k - $165k
Full-time

Brandes Investment Partners

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.

Founded in 1974, Brandes Investment Partners is a pioneer in global value investing. We serve institutions, pension funds, intermediaries, and financial advisors worldwide through a disciplined, long-term investment approach grounded in the principles of Benjamin Graham.

We are 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.

What You’ll Do

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

What We’re Looking For

We’re looking for a hands-on senior technical builder who combines strong technical depth with business fluency. Preference given to local candidates but will consider non-local or remote. 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.

Why This Role Matters

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.

Why Join Brandes?

As you get to know Brandes, you will quickly recognize that value is at the heart of everything we do. Value refers not only to our investment style, but also to how we engage with our colleagues and conduct ourselves as a firm.

We often say that Brandes is purpose-built for value. We believe this focus on value-valuing our colleagues sets us apart.

This role offers the opportunity to make a meaningful impact by managing your own territory while being part of a firm that values its people and fosters an environment that supports our mission: "To be an exceptional firm which provides superior investment advisory services in an atmosphere of accomplishment and enjoyment."

Our Workplace

We are looking for dynamic, self-motivated individuals with diverse perspectives and experiences who are eager to roll up their sleeves and become part of a collaborative team culture built on mutual respect.

At Brandes, you'll work in an environment where colleagues can connect, thrive, and grow. We value our clients and are committed to placing their interests ahead of our own.

As part of our inclusive workplace, we take a holistic approach to supporting our people. You'll have access to comprehensive benefits and programs designed to promote health, wellbeing, and professional development at every stage of life and career.

Team members enjoy competitive compensation, firm-contributed retirement plans, support for all family types, and policies grounded in respect and flexibility. You take care of our clients-and Brandes helps take care of you.

Health & Wellbeing

  • Comprehensive medical, dental, and vision (HSA and FSA options)
  • Fertility benefits, telemedicine, and mental health support
  • Generous PTO, holidays, and parental leave

Financial Security

  • 401(k) match and profit sharing with employer contributions
  • Company HSA contributions
  • Life, disability, critical care, and pet insurance

Wellness & Community

  • Fitness benefits, wellness programs, and employee-led resource groups
  • Paid time off to volunteer in your community
  • Employee Assistance Program (EAP) and mental health resources

Growth & Development

  • CFA sponsorship and generous tuition reimbursement
  • Internal mobility
  • Career development programs

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 View email address on click.appcast.io.

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.

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