Business Intelligence Analyst

Ferryhopper; Ohio; Hybrid; USD 30,000 - 37,000; Full time

Benefits offered by this job

Competitive pay

Equipment provided

Training budget

Collaborative environment

Office space

3 extra days off

Ferry trip coupons

Work from Anywhere six weeks per year

Office weekly visits

Job summary

Ferryhopper is seeking a BI Analyst to enable data-driven decisions across the business. You will dive into large datasets, analyze customer travel patterns, and translate insights into actionable recommendations.

You own the logic and transformations using dbt, and build scalable models and reports with SQL across our data stack. You will collaborate with cross-functional teams to define KPIs, automate reporting, and strengthen data quality.

Qualifications

• 2–4 years of experience in a similar role.
• Proficiency in SQL and hands-on experience with dbt and Git.
• Strong data modeling skills and understanding of data granularity.

Responsibilities

• Build, maintain, and communicate systematic reports to support decision-making.
• Collaborate with stakeholders to define and monitor KPIs and trends.
• Develop and maintain data models and datasets for reporting and analytics.
• Foster a data-driven culture by driving insights, automation, and processes through data.
• Translate stakeholder needs into technical requirements and actionable insights.
• Work with cross-functional teams to deliver data-driven solutions aligned with business goals.
• Analyze large datasets to generate insights and recommendations.
• Identify bottlenecks and opportunities to add value with data.

Skills

SQL

dbt

Analytical thinking

Stakeholder communication

Attention to detail

Data-driven mindset

Tools

BigQuery

Power BI

Looker Studio

dbt-core

Job description

Ferryhopper is an equal opportunity employer that welcomes diversity and is committed to inclusion in the workplace. We do not accept discrimination and harassment of any kind. This policy applies to all employment practices within our company. The Company

Ferryhopper is revolutionising online ferry booking, aiming to change the way people travel by ferry. We are collaborating with more than 360 ferry companies across 63 countries, bringing a fresh and seamless ferry booking experience. We always strive to cater to the needs of all travellers and keep improving our services.

If you want to know more about the team, read about Ferryhopper in a nutshell.

The role

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. The focus is on extracting meaningful insights and translating them into actionable recommendations; you own the full lifecycle of building and maintaining the logic and transformations. You need a business mindset, strong attention to detail, curiosity, and the ability to work both independently and as part of a team. 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.

• 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.

Current Tech stack:

• Google Cloud (BigQuery), Power BI, Looker Studio, dbt-core, git, G Suite

The annual salary range for this position is 27.000 - 33.000 gross, under Greek Labour Law

The health of our company and the success of our products are directly related to the health of our team and the work environment we create for ourselves. With this in mind, we strive to provide an inclusive and positive working environment. In this respect, we offer:

• 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 your statutory annual leave
• Exclusive coupons for your personal ferry trips

Remote & Hybrid Policy:

• Athens-based teams: The policy is to visit the office a minimum of once per week
• Work from Anywhere: Six weeks per year to work from any location of your choice