[Hiring] Senior Data Analyst @Truelogic

Role Description

We are seeking a Senior Data Analyst / Data Manager to bridge the gap between technical data infrastructure and strategic business decision-making. You will build scalable data models in Looker/LookML and write advanced SQL in Google BigQuery to surface executive-level insights, trends, and growth opportunities across all business units.

Project Duration: 3 months, with possibility of renewal.

Responsibilities

• Insights & Recommendations: Partner with cross-functional teams and senior stakeholders to understand business questions, deliver timely analysis, and surface opportunities for data-driven improvement.
• Visualizations & Dashboarding: Design and maintain ad-hoc and recurring Looker reports; build and monitor key business metrics; proactively identify trends and performance gaps.
• Data Modeling: Build, optimize, and document LookML models that support scalable, efficient analysis across the organization.
• Infrastructure & Data Quality: Audit existing dashboards and data sources to identify consolidation opportunities; diagnose and resolve data discrepancies; partner with the Data Engineering team to improve data pipelines and ensure reporting accuracy.
• Predictive Modeling: Develop and maintain models that forecast business outcomes, customer behavior, and other key metrics.
• Subject Matter Expertise: Develop deep familiarity with SoulCycle's full data landscape and contribute to evolving how the business measures performance.

Qualifications

• 4+ years of experience in data analytics, business intelligence, or data engineering.
• Advanced SQL proficiency with hands-on expertise in Google BigQuery (query optimization, schema design, GCP).
• Strong experience with Looker and LookML for data modeling, dashboarding, and report automation.
• Preferred Tools: Python (pandas, matplotlib), Tableau, Jupyter Notebooks, AWS.
• Domain Skills: Predictive modeling (regression, forecasting), metrics design, cross-functional stakeholder communication.

Requirements

• Prior experience in consumer tech, fitness, subscription-based businesses, or retail/hospitality.
• Exposure to predictive modeling (regression, customer churn/forecasting), Python (pandas, matplotlib), or AI-driven analytics workflows.
• Familiarity with alternative visualization tools like Tableau or Jupyter Notebooks alongside Looker.

Benefits

• 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
• Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
• Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
• Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
• Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.