Senior Data Analyst (BigQuery): Health & Wellness (3-month project)

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.

Qualifications and Job Requirements

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.