Finance Data Analyst - Falcon.io

Copenhagen, Denmark Engineering Full-time
Falcon employs the brightest, most passionate people in the tech industry. We’d love for you to join our growing team! We invest in our people through training and professional development while supporting you along the way—all so you can meet your career goals. To us, the most important measure of our success is yours.
 
Falcon is part of Cision Ltd—a leading global provider of innovative earned media software and services to public relations and marketing communications professionals. Falcon.io provides a unified SaaS platform for social media listening, engaging, publishing and managing customer data. We enable our clients to explore the full potential of digital marketing by managing multiple customer touch points from one platform. Our platform has already achieved great international traction in the market, with its technology endorsed by partnerships with Facebook, Twitter and Instagram. Founded as Falcon Social in Copenhagen in 2010, we now also have offices in New York City, Berlin, Budapest, Sofia, Chennai, Melbourne, and growing. We’re a highly diverse team, and we’re always looking for passionate and curious people who want to be part of a fast-paced, high-energy environment.
  
Falcon.io has an ethos of encouraging autonomy, ambition, boldness and experimentation. We value open people who take initiative and aren’t afraid to fail, learn from mistakes, adjust, and try to get better at what they do every day.

We’re looking for a talented and driven Finance Data Analyst to join our DataOps team at the Falcon.io HQ in Copenhagen.  

As part of the Engineering department, the DataOps team is responsible for the maintenance and development of the analytics infrastructure of the company. We have a modern tech stack based on AWS, Fivetran Redshift, DBT and Looker, which sits at the core of all our activities. You will work closely with the Finance and Commercial Systems teams to make as much data as possible available in our data warehouse, giving us the right foundation for our analyses and ensuring success by enabling data-driven decisions. As a liaison to the Finance team, your go-to data sources will involve tools like Netsuite, Salesforce and Tipalti. 

To achieve this you’ll have three core responsibilities:  
- Ensuring that the Finance data in our data warehouse is accurate, this means working closely with tooling owners and the Finance and Commercial Systems team to make sure the data pipeline is healthy. 
- Identify the core KPIs that drive success and make these accessible to the Finance team to support their day-to-day decision-making. You will do this in close conjunction with the Finance leadership and other strategic stakeholders.
- Run in-depth analyses across the wealth of data available to uncover and advise on new strategies for growth. 

What you’ll do:

  • Spearhead the technical development of the Finance team in terms of data modelling and visualization
  • Collaborate with the Finance team to understand data requirements and identify process improvement opportunities 
  • Develop, document and maintain the Finance data model 
  • Develop finance reports and ad-hoc analyses
  • Work with the Systems team to ensure alignment between tooling (e.g. Netsuite, Salesforce, Tipalti etc.) and data warehouse 
  • Design functional and easily interpretable dashboards that drive decision-making 
  • Work with the Finance team to optimize operational efficiency through data 
  • Plan and execute adoption of new processes 

What you’ll need:

  • 1-3 years of experience as analyst working with financial analysis and data modelling 
  • Strong business acumen  
  • Proven track record in making data-driven commercial decisions  
  • Excellent SQL skills  
  • Knowledge of various data warehousing methodologies 
  • University degree in a commercial or technical field  
  • Excellent written and spoken communication skills  
  • Good interpersonal skills, including stakeholder management 

It would be a plus if you have:

  • Experience from a SaaS company  
  • Experience with LookML  
  • Experience in data modelling with tools like DBT  
  • Experience with AWS Lambda and data pipelines  
  • Experience with modern BI tools e.g. Looker, Periscope Data, Mode Analytics, Tableau  
  • Experience working with modern data warehouses e.g. Amazon Redshift, Google BigQuery, Snowflake  
  • Experience working with Python, R or similar languages 

What we offer:

  • First hand experience in how to scale a SaaS business  
  • The ability to work with an advanced tech stack and extensive data model in the world of B2B digital marketing  
  • A team of driven and high-performing colleagues, both from Engineering, Finance and Commercial Systems
  • An open, informal and multinational working environment defined by high levels of personal responsibility  
  • An office space housed in the old Danish Design Center, directly opposite Tivoli Gardens in central Copenhagen 
  • Pension and health insurance - because we believe prevention is better than cure  
  • The Falcon Feed: catered daily lunch by our in-house canteen, including drinks and healthy snacks 
Cision is committed to building an environment where all employees are set up to thrive and reach their full potential. We believe diversity, equity and inclusion is vital to driving our culture, sparking innovation and achieving long-term success. Cision is proud to have joined more than 600 companies in signing the CEO Action for Diversity & Inclusion™ pledge, the largest CEO-driven business commitment to advance diversity and inclusion within the workplace.
 
Cision is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or other protected statuses.
 
Please review our Global Candidate Data Privacy Statement to learn about Cision’s commitment to protecting personal data collected during the hiring process.