Senior Data Analyst @Sojern

[Hiring] Senior Data Analyst @Sojern

Mar 13, 2025 - Sojern is hiring a remote Senior Data Analyst. 💸 Salary: unspecified. 📍Location: Ireland.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

We are looking for a data-driven and analytical Data Analyst with strong data engineering skills to join our team. In this role, you will be responsible for analyzing, transforming, and optimizing large datasets to provide actionable insights that drive business decisions. This role is ideal for a problem-solver who enjoys working with big data, creating efficient ETL pipelines, and building data visualization tools to communicate insights effectively.

  • Data Analysis & Insights
    • 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.
  • Data Engineering & Infrastructure
    • 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.

Qualifications

  • 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.

Requirements

  • 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.
  • 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).
  • 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).

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📍 Be aware of the location restriction for this remote position: Ireland
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Senior Data Analyst @Sojern
Data Analysis
Salary đź’¸ unspecified
Remote Location
Ireland
Job Type full-time
Posted Mar 13, 2025
Apply for this position Unlock 54,602 Remote Jobs
️
📍 Be aware of the location restriction for this remote position: Ireland
‼ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
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