Retention Data Analyst
EUR 26,400-54,000 per year
Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
BI @ 3
Dashboarding @ 3
Data Analysis @ 3
Data Visualization @ 3
Email Marketing
Looker @ 3
Marketing @ 3
Mathematics @ 8
Power BI @ 3
SQL @ 1
Security
Tableau @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
A curious problem-solver is sought to analyze customer behavior and retention initiatives for a company developing privacy and security products, including Threat Protection Pro and the NordLynx protocol. The role supports customer retention through marketing automation tools and web, email, and push/in-app communication flows.
Responsibilities
- Build dashboards and analyze customer behavior in response to different email marketing initiatives.
- Measure the results of promotions, pricing, value creation, and engagement initiatives, and draw conclusions and recommendations for new initiatives.
- Collaborate with the Retention team to create and interpret customer engagement and retention tests and actions.
- Help define and calculate KPIs and key metrics for the team.
- Monitor KPIs and metrics through automated reports and dashboards.
- Execute ad-hoc analyses.
Requirements
- Passion for mathematics and exceptional logical thinking, with the ability to detect principles and patterns in complex consumer behavior data.
- Self-motivated approach to analyzing complex data while maintaining attention to detail and understanding the bigger picture.
- Solid understanding of SQL; Google BigQuery is an advantage.
- Experience with dashboarding tools such as Looker, Power BI, or Tableau.
- Experience in data analysis.
- Experience performing A/B tests, usability tests, or user research is an advantage.
- Curiosity and drive to learn, with an interest in human behavior and digital marketing.
- Ability to communicate insights and use modern data visualization techniques to make patterns accessible to non-technical colleagues.
- Teamwork, openness to feedback, willingness to share knowledge, holistic thinking, and a can-do attitude.
Benefits
- Online and in-person training programs, access to Coursera and Skillshare, mentorship, and internal career opportunities.
- Extra vacation days and additional days off for sick leave, special occasions, and parenting.
- Premium private health insurance in Lithuania and Poland.
- Subscriptions to Calm, Headspace, and Mindletic, plus resilience and mindfulness training and mental health events.
- In-house gyms, Multisport and Urban Sport cards, online workouts, and physical well-being support.
- Company workation opportunities.
- Work-from-anywhere flexibility.
- Gifts for birthdays, work anniversaries, weddings, and new family members.
- Summer camps for children and flexibility for parents.
- Team-building activities and company events.
- Access to the Vilnius headquarters, including silent rooms, gyms, a game room, music room, and coffee bar.
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