Senior Data Analyst (BigQuery): Health & Wellness (3-month project)
Truelogic · LatAm
Skills in this posting
Benefits
The posting
About Truelogic
At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.
Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.
By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.
Our Client
Our client is a well-known US-based fitness and wellness company that has built a strong consumer brand around premium, instructor-led fitness experiences. They combine a large physical studio presence with digital products that support class booking, memberships, and connected fitness experiences.
Job Summary
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 the client's full data landscape and contribute to evolving how the business measures performance.
Must have
Experience : 4+ years of experience in data analytics, business intelligence, or data engineering.
SQL & Data Warehousing : Advanced SQL proficiency with hands-on expertise in Google BigQuery (query optimization, schema design, GCP).
BI & Modeling: 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.
Nice to Have
Fitness Industry Experienc e: Prior experience in consumer tech, fitness, subscription-based businesses, or retail/hospitality.
Advanced Analytics & AI Tools : Exposure to predictive modeling (regression, customer churn/forecasting), Python (pandas, matplotlib), or AI-driven analytics workflows.
Additional BI Platforms: Familiarity with alternative visualization tools like Tableau or Jupyter Notebooks alongside Looker.
What We Offer
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.
Why You’ll Like Working Here
A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.
Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.
Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you're working with the best in your field.
Apply now!
The PivotHop read
- What a data analyst actually earnsmedian, seniority, by country
- Alternative careers for a data analystevery measured route out
- BI Developer → Data Analyst81% readiness
- Data Engineer → Data Analyst62% readiness
- Product Analyst → Data Analyst53% readiness
- All open data analyst rolesthe full board
Where these skills also reach
- 106 open product analyst roles66% readiness from data analyst
- 92 open bi developer roles49% readiness from data analyst
- 1133 open business analyst roles40% readiness from data analyst
- 480 open data scientist roles39% readiness from data analyst
More data analyst roles
- Final Year Internship Consultant - Data Analyst at SiaParis, FRTodayUnlock
Data Analyst (m/w/d) Power BI at G&N GruppeLangenfeld1d agoApply- Analista de Datos at Dirección ChileCompraChile$30k1d agoApply
Data Analyst Support Project at National Institutes of HealthBethesda, Maryland1d agoApply
Data Analyst at MonksBrasil4d agoUnlock
Backfilled listing, refreshed with the nightly scrape; the employer has not claimed it yet. Are you the employer? Claim this listing and it can be featured to the candidates whose skills already reach it, first month free.