Data Analyst | Big Blue Swim School

GT was founded in 2019 by a former Apple, Nest, and Google executive. GT’s mission is to connect the world’s best talent with product careers offered by high-growth companies in the UK, USA, Canada, Germany, and the Netherlands.

On behalf of Big Blue Swim School, GT is looking for a skilled and independent Data Analyst.

About the Client

Big Blue Swim School is one of the fastest-growing swim school franchises in the United States. Founded in 2009, the company offers year-round swim lessons for children aged 3 months to 12 years, using a proprietary curriculum and warm-water indoor pools designed for safety and comfort.

Since launching its franchising program in 2018, Big Blue has expanded rapidly, operating over 42 locations.

Big Blue’s operations are powered by LessonBuddy™, a cloud-based platform that supports scheduling, billing, and real-time progress tracking for both families and franchisees.

The platform is integrated with a mobile app and client portal, making it easy for parents to manage their experience.

About the Role

We are seeking a highly analytical and creative Business Intelligence Analyst to advance our analytics capabilities and support data-driven decision-making across our organization. The ideal candidate will have hands-on experience developing dashboards in Sisense (or similar BI tools), strong data wrangling skills, and a passion for transforming complex data into clear, actionable insights. You will liaise between Big Blue’s software engineers, data engineering partner, and the business to develop new reports and dashboards for business performance monitoring and optimization.

This role must have strong communication skills for working between parties to scope and manage Big Blue’s data needs. We are looking for an intellectually curious data generalist with strong interpersonal, analytical, and problem-solving skills who is looking to learn and grow their capabilities alongside Big Blue.

It is a full-time role for up to 4 months contract.

Working hours: It is essential to have at least 4 working hours of overlap with US Eastern time.

Responsibilities:

• Develop a deep understanding of Big Blue’s data environment, architecture, and key business drivers

• Lead the development, deployment, and optimization of dashboards and reports in Sisense,

  ensuring performance, data integrity, and visual clarity

• Translate business questions into scalable reporting solutions and data models that enable fast, reliable decision-making

• Collaborate with stakeholders to define KPIs and success metrics, supporting both day-to-day operations and long-term strategic initiatives

• Create clear and compelling data visualizations and interactive dashboards that drive action and uncover insights

• Establish and evangelize best practices for dashboard development, report automation, and

  data governance

• Support training for business users in leveraging self-service BI tools, helping foster a culture of data-driven decision-making

• Partner with cross-functional teams to understand data needs and deliver effective solutions

Essential knowledge, skills & experience:

• 4-6 years of experience in data analysis, reporting, and BI/dashboard development

• Advanced experience with Sisense preferred; strong background with other similar BI platforms such as Tableau, Power BI, or Looker also considered (a portfolio or demo of work is a plus)

• Proficiency in SQL, with proven ability to query, manipulate, and join large datasets across

  multiple sources , including writing queries from scratch

• Strong understanding of data modeling, ETL processes, and performance optimization principles, with the ability to build dashboards from scratch

• Experience working in cloud-based data ecosystems Google Cloud Platform (GCP) or AWS

• Experience with BigQuery

• Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, Economics,

  Mathematics, or a related quantitative field

Nice-to-have

• Familiarity with scripting languages such as Python or R for data exploration or automation

Soft Skills

• Problem-solving mentality with strong attention to data integrity, scalability, and performance

• Excellent communication skills, with the ability to translate technical insights into business value

• Thrives in a fast-paced, evolving environment; startup or multi-unit franchise experience is a

  plus

• Collaborative, curious, and eager to contribute to a growing team

Interview Steps

1. GT interview with Recruiter

2. Cultural Fit Interview

3. Technical Interview

4. Final interview

5. Offer

We go beyond usual perks… By working with us, you will get:

• Health insurance.

• Psychotherapy coverage.

• Sport coverage.

• Learning budget.

• Paid vacations

• Paid sick leaves.

• All public holidays are paid days off.

GT working model:

You will work directly with a client through our Extended Team model. We try to do things differently and put our efforts into integrating you as deeply as possible into the client’s team. You work with the same tools and technologies as they do and are managed directly by the client without any intermediary in between. We help you build relationships and create an environment where you genuinely feel like a member of the client’s team. We also encourage trips to a client and join teambuilding and after-work activities. Our Extended Team model is focused on long-term projects that last over several years.