Data Engineering & Analytics Analyst
Two Circles is a global sports & entertainment business, connecting fans with sport properties using data. We work with some of the world's biggest sports organisations - including the NFL, Premier League, Formula 1, Wimbledon and UEFA - and have four times been named Sport Industry Agency of the Year.
聽We have a team of over 950 Two Circlers working from 14 cities across APAC, North America, and EMEA, serving our expanding international client base.
聽The KORE intelligence platform is a B2B SaaS software solution, providing practical tools, services and insights that drive ticket sales, digital marketing, corporate sponsorships, activation management, premium hospitality and more.
In addition to our best-in-class software our consulting practice provides key insights and expertise to rights-holders, brands and agencies delivering integrated analysis and strategy on all aspects of sports business.
It is in to this team we are hiring a Data Engineering & Analytics Analyst. This role, reporting to the Manager of Data Engineering & Analytics, will focus on advancing data strategy initiatives for both current and future projects involving rights holders and brand clients. Leveraging tools such as AWS, SQL, and Python, the team member will work on database infrastructure development, data modeling, and seamless data delivery.
The ideal candidate is self-driven, detail-oriented, and highly collaborative, with a strong focus on meeting deadlines and delivering data-driven solutions. They should possess excellent teamwork skills, a consultative mindset, and a customer service-oriented approach, enabling them to effectively work with both internal teams and external partners.
Duties and Responsibilities
Database Management
路聽聽聽聽聽聽 Data Pipeline Development: Design, build, and maintain scalable data pipelines to ensure the efficient ingestion, transformation, and delivery of data for analytics and reporting purposes.
路聽聽聽聽聽聽 Database Management: Develop and optimize database structures to support robust and efficient data storage, querying, and integration.
路聽聽聽聽聽聽 Data Modeling: Create and maintain logical and physical data models to support analytics needs, ensuring data consistency and integrity.
路聽聽聽聽聽聽 Collaboration: Partner with data analysts, data scientists, and business stakeholders to understand data needs and develop solutions that address complex challenges.
路聽聽聽聽聽聽 Tool Integration: Implement and integrate data tools and platforms (e.g., AWS, Snowflake, or other cloud solutions) to streamline workflows and enhance system capabilities.
路聽聽聽聽聽聽 Documentation: Maintain clear and comprehensive documentation for data pipelines, models, and processes.
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Data Visualization
路聽聽聽聽聽聽 Collaborate with stakeholders to understand business needs and translate them into data visualization requirements.
路聽聽聽聽聽聽 Design and create interactive dashboards and visual reports using tools like Tableau, Power BI, or Looker.
路聽聽聽聽聽聽 Develop custom visualizations and graphics to represent complex datasets in an intuitive and visually engaging way.
Skill Requirements
路聽聽聽聽聽聽 1-2 years professional SQL and AWS experience
路聽聽聽聽聽聽 1-2 years' experience with Extract, Transform, and Load (ETL) tools and processes
路聽聽聽聽聽聽 1-2 years of Tableau Desktop experience building workbooks and dashboards
路聽聽聽聽聽聽 A working understanding of relational databases
路聽聽聽聽聽聽 Experience with Tableau Server, user administrative tasks are a plus
路聽聽聽聽聽聽 Data modeling and solution design experience
路聽聽聽聽聽聽 Strong organizational, analytical, and technical skills
路聽聽聽聽聽聽 Familiarity of sponsorship and the sports industry
路聽聽聽聽聽聽 Ability to communicate professionally in both a written and verbal context with external end-users and internal colleagues
路聽聽聽聽聽聽 Attention to detail, ability to work with deadlines, and ability to coordinate across multiple departments