FREENOW is hiring a
Junior Data Operations Analyst

Summary

The job description is for a Junior Data Operations Analyst role at FREENOW. The role involves working on multiple projects across EU countries, creating queries to answer operational and business questions, communicating results effectively, and using technical skills such as SQL, Tableau, Python, Airflow, and Metabase. The required qualifications include a degree in an analytical discipline, 1+ years of experience in an analytical role, excellent analytical and problem-solving skills, strong communication and interpersonal skills, and excellent written and spoken English. Benefits include flexible working arrangements, LinkedIn Learning, sabbatical & special leave policies, WeRoad partnership, birthday off, short term EU work policy, mobility credit, health insurance, employee assistance program, and local benefits depending on the work location.

Requirements

• Educated to Degree Level or higher in an analytical discipline such as Engineering, Computer Science or Economics
• 1+ years of experience in an analytical role
• Excellent analytical and problem-solving skills and the ability to thrive in a fast-paced, always-on, constantly-changing startup environment
• Excellent technical skills including SQL knowledge, familiarity with Tableau and python or the motivation to learn
• Enthusiastic, outgoing and personable - you have the ability to think on your feet, work independently and also proactively with others to find solutions to issues
• You understand how to engage and influence decision makers and have excellent communication skills
• Driven - you are motivated to find solutions to problems and constantly go the extra mile
• Strong communication and interpersonal skills as well as excellent written and spoken English

Responsibilities

• Work on multiple projects (e.g. churn segmentation/prediction, registration flow, doc validation, A/B testing, monetization initiatives, …) across EU FREENOW countries, in a fast-paced, results-oriented environment
• Create queries to answer operational and business questions from the central and local operations teams
• Communicate results in a clear and impactful manner
• Focus on analysing and presenting recommendations/process changes/new initiatives to management using insights derived from operational data
• Use technical skills such as actively engaging in configuration and programming in the data environment, querying data via SQL from the data lake, automating data processes, deep dive analysis in Python and adjusting ETL tasks
• Develop monitoring tools to measure performance and help the business achieve its objectives

Benefits

• Flexible working arrangements
• LinkedIn Learning
• Sabbatical & special leave policies
• WeRoad partnership
• Birthday, 24th + 31st December off
• Short term EU work policy
• Mobility Credit
• Health Insurance
• Employee assistance program
• Plus more local benefits depending on your work location!