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WarriorBabe

Analytics Engineer

Posted 2 Days Ago
Be an Early Applicant
Remote
14 Locations
Mid level
Remote
14 Locations
Mid level
The Analytics Engineer will manage data infrastructure, optimize data pipelines, build reliable data models, and develop actionable reports and dashboards.
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Why WarriorBabe?
At WarriorBabe, we believe in the power of dedication and personal growth.  You'll be surrounded by a vibrant team that shares your passion for fitness and helping women flourish.  Together, we are on a mission to transform lives and create a community that thrives on empowerment.


Offering personalized macronutrient plans and workout programming, WarriorBabe ensures each woman's unique needs are met.  With one-on-one coaching, a dedicated mobile app, and a vibrant online community, WarriorBabe provides the tools and support necessary for lasting success.  Ideal for women of all ages and fitness levels, WarriorBabe adapts to ensure continuous progress and achievement of fitness goals.


Our Mission

Help 100,000 women regain their personal power and feel confident in their skin.

The Role
We are focusing on expanding our global team and are especially interested in applicants based internationally. 🌏
We are currently seeking a skilled Analytics Engineer to support the management and optimization of our data infrastructure. This position focuses on maintaining data pipelines across Supabase, Fivetran, and HubSpot, building reliable data models, and developing reports and dashboards in Sigma that provide actionable insights for business teams.

The ideal candidate will have a strong grasp of SQL, experience with cloud-based databases, and an understanding of business metrics. This is a hands-on, mid-level role that combines elements of data engineering and business intelligence.

Key Responsibilities

Data Infrastructure Management

  • Manage and optimize data tables and queries within Supabase.
  • Configure and maintain Fivetran integrations to ensure data is current and accurate.
  • Oversee HubSpot data synchronization and ensure alignment across systems.
  • Monitor integrations and address data consistency or performance issues.

Data Modeling and Transformation

  • Design and maintain SQL models and transformations to support analytics and reporting.
  • Combine and standardize data from multiple sources for consistent business use.
  • Work with internal teams to translate reporting requirements into scalable data solutions.

Business Intelligence and Reporting

  • Build and maintain dashboards in Sigma that provide clear, reliable reporting.
  • Define and document key metrics and KPIs to ensure consistency.
  • Partner with stakeholders to deliver data that supports decision-making.

Automation and Process Optimization

  • Develop automated workflows using n8n to streamline reporting and data movement.
  • Implement quality checks and alerts to monitor data reliability.
  • Maintain documentation for data pipelines, models, and automations.
Qualifications
  • Proficiency in SQL, including joins, CTEs, and query optimization.
  • Hands-on experience with Supabase or PostgreSQL.
  • Experience configuring and monitoring Fivetran integrations.
  • Familiarity with HubSpot or similar CRM data structures.
  • Understanding of data modeling, integrity, and reporting best practices.
  • Experience with Sigma, Looker, Power BI, or comparable BI tools.
  • Strong communication skills and the ability to collaborate with cross-functional teams.
Preferred Skills
  • Experience using Python or JavaScript for scripting and automation.
  • Knowledge of n8n or similar workflow automation tools.
  • Familiarity with API-based data integrations.
  • Exposure to version control systems such as Git and documentation standards.
Why Join Us
  • Fully remote role with flexible hours aligned to Eastern Time.
  • Opportunity to work with a modern data stack and improve analytics infrastructure end-to-end.
  • Collaborative environment emphasizing learning, precision, and ownership.
  • Direct impact on business intelligence and operational efficiency.
Compensation
  • The compensation ranges from $2,000 to $3,000 per month, depending on experience and qualifications.

Top Skills

APIs
Fivetran
Git
Hubspot
JavaScript
N8N
Python
Sigma
SQL
Supabase

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