Business Intelligence Analyst

As a BI Analyst, your primary role is to enable data-informed decision-making for various stakeholders across Ferryhopper. You dive into large datasets to analyze customer behavior and travel patterns, uncovering insights that drive strategic actions. Your day-to-day tasks involve a combination of ad-hoc analyses, systematic reporting, and developing scalable data models using dbt to support the company's growth. SQL is at the core of everything you do, from exploring data to building the models behind our reporting.

Responsibilities

Build, maintain, and communicate systematic reports to support both strategic and day-to-day decision-making; Collaborate with stakeholders across departments to define and monitor KPIs and trends; Develop and maintain data models and datasets for reporting and analytical purposes; Foster a data-driven culture by working closely with stakeholders to drive insights, automation, and process improvements through data; Enable stakeholders to understand and use available data products to promote data-driven decision-making and assist in problem-solving; Work with cross-functional teams to deliver high-quality, data-driven solutions aligned with business goals; Analyze large, complex datasets to generate insights and suggest actionable recommendations; Identify bottlenecks and uncover opportunities where data can add value, collaborating with data analysts and engineers to scale the data team effectively

Requirements

2-4 years of experience in a similar role; Proficiency in SQL and hands-on experience with dbt and Git version control; Good grasp of data modeling, from understanding data granularity and relationships to organizing data for analysis and reporting; Solid experience with Power BI, Looker Studio (or similar tools) for designing and creating data visualizations, custom reports, and dashboards; Experience with BigQuery or other data warehousing technologies for managing large-scale datasets; Strong analytical skills to interpret complex datasets, identify trends, and communicate findings effectively; Ability to translate stakeholder needs into technical requirements; High standards for data quality, accuracy, and ownership; Attention to detail, a problem-solving mindset, and comfort juggling several projects in a fast-paced environment

Nice to have

Python knowledge is a plus; Experience with marketing performance analytics, conversion funnels, or attribution metrics

Benefits

Competitive compensation package; Equipment of your choice; Training and educational budget throughout the year; Work in a collaborative and dynamic environment; Great office space; Three (3) additional days off on top of statutory annual leave; Exclusive coupons for personal ferry trips; Work from Anywhere: six weeks per year to work from any location of your choice