Our Story Launched in 2015, S ol de J aneiro is a globally recognized, award-winning beauty brand, drawing inspiration from Brazil’s beauty rituals, warmth, and spirit. S ol de J aneiro delivers a sensory experience beloved by multi-generational consumers worldwide, with clinically proven results, transformative textures, and transportive fragrances. Headquartered in New York and launched as a digitally native brand, we have expanded globally with teams in Paris, London, and Germany.

Our commitment to excellence has earned high-profile honors, including being named one of TIME1 00’s 2024 Most Influential Companies, Fast Company’s 2024 World's Most Innovative Companies, and WWD Beauty Inc’s Power Brands of 2024, underscoring its leadership in the beauty industry and outstanding workplace . These accolades highlight our dedication to being a leading brand in the beauty industry and an exceptional workplace.

What You’Ll Do

Sol de Janeiro is looking for a BI / Analytics Engineer to own and evolve our business intelligence platform. This role is the primary owner of the Domo environment, responsible for building and maintaining the dashboards, data pipelines, and reporting infrastructure that our business relies on for day-to-day decisions. You will work closely with stakeholders across Finance, Supply Chain, Marketing, and Operations to translate business questions into reliable, self-service analytics.

The ideal candidate brings hands-on BI platform experience, practical SQL skills for last-mile data shaping, and enough understanding of data engineering concepts to speak the same language as the analysts and engineers they will work alongside. This is not a support role, and it is not an island. You will own the BI layer end-to-end while partnering closely with the broader data team on everything upstream.

What You'll be Working On Platform Ownership Dashboard Development Own the Domo platform: administration, user management, governance, and performance optimization. Design, build, and maintain dashboards, cards, and data applications that serve business stakeholders across departments. Ensure all reporting is accurate, consistent, and aligned with defined KPI standards.

Develop and enforce best practices for dashboard design, naming conventions, and content organization within the platform. Data Pipelines Integration Build and maintain data ingestion workflows that bring data into Domo from source systems including SAP S/4HANA, Databricks, and third-party platforms. Monitor data jobs and ingestion schedules, investigate issues, and coordinate with data engineers to resolve failures before they impact downstream reporting.

Apply last-mile SQL transformations within Domo to shape, filter, and prepare data for dashboard consumption. Complex data modeling, joins, and warehouse logic are handled by the data engineering team. Work closely with data analysts, data engineers, and the Data Architect to coordinate on upstream data needs, flag issues at the source, and ensure the data flowing into the BI layer is accurate and complete.

Stakeholder Engagement Enablement Serve as the primary point of contact for all business intelligence requests and questions from stakeholders.

Requirements

into technical specifications, and deliver solutions. Enable self-service analytics by training business users on Domo features, dashboard navigation, and data interpretation. Proactively identify opportunities where new dashboards, alerts, or data products can improve decision-making or reduce manual effort.

Data Quality Governance Ensure uniform KPI definitions and calculations across all dashboards and reports, maintaining a single source of truth for business metrics. Build and maintain data validation processes that flag inconsistencies, gaps, or anomalies in source data before they surface in reports.