Senior Data Analyst

Summary

Join Sojern's team as a Data Analyst, based remotely in Ireland, leveraging your data engineering skills to analyze large datasets and deliver actionable insights. You will collaborate with various teams, build ETL pipelines, and create data visualizations using Tableau. This role requires 3+ years of experience in a data-driven role and strong SQL proficiency. Sojern offers a comprehensive benefits package including competitive compensation, stock options, flexible work options, paid time off, parental leave, healthcare options, and professional development opportunities. The ideal candidate is a problem-solver who enjoys working with big data and communicating insights effectively. The position is remote but requires residency in Ireland.

Requirements

• 3+ years of experience in a data-driven role, preferably in analytics, data engineering, or business intelligence
• Strong proficiency in SQL (writing complex queries, working with relational databases)
• Exposure to building ETL pipelines
• Familiarity with BI tools (Tableau, Power BI, Looker, etc.) and the ability to create meaningful data visualizations
• Ability to work in a fast-paced environment, manage multiple priorities, and communicate insights effectively to both technical and non-technical stakeholders

Responsibilities

• Work closely with Sales, Finance, Product, and Marketing teams to understand business needs and translate them into data solutions
• Analyze large datasets to identify trends, performance metrics, and actionable insights that support strategic business initiatives
• Develop detailed reports and dashboards using Tableau to help stakeholders make data-driven decisions
• Collaborate with data scientists and operations analysts to support testing and analysis on campaigns
• Build, optimize, and maintain ETL pipelines to process and transform raw data into structured, meaningful datasets
• Work with SQL, Python, and BigQuery to extract, clean, and manipulate data from multiple sources
• Ensure data quality, integrity, and consistency across different data sources

Preferred Qualifications

• Experience in the ad tech or travel industries
• Experience with Python for data manipulation and automation
• Knowledge of data warehousing best practices
• Hands-on experience working with big data
• Experience with predictive modeling, machine learning, or statistical analysis
• Experience with Airflow or Jenkins

Benefits

• Competitive compensation packages
• Stock options offered to every employee
• Bonusly program to reward and recognize team wins and performance
• Employees can take up to 40 hours of paid time per year to volunteer and give back to the community
• Flexi-Friday benefit
• Hybrid or remote work options for most roles
• Time-zone friendly work hours with async collaboration
• Team offsites planned annually
• Six employee resources groups
• Regular virtual and in office team building events
• Monthly company All Hands & leadership Q&As
• PTO allowance to recharge
• Comprehensive healthcare options
• Paid parental leave (16 weeks for birthing parents; 12 weeks for non-birthing parents)
• Retirement contributions and investment options (for applicable locations)
• Travel benefits (hotel stay benefit & IATA membership)
• Plus mental health, wellness & financial health resources
• Learning & development stipend
• Mentorship program
• Career development programs
• Leadership training
• Home office tech set up (laptop, monitor, keyboard, mouse)
• Monthly internet and phone allowance
• Modern tools to communicate and collaborate (Slack, Google Suite)