📌 Core Information
🔹 Job Title: Marketing Data Analyst
🔹 Company: Omnisend
🔹 Location: Kaunas, Lithuania or Vilnius, Lithuania
🔹 Job Type: Full time
🔹 Category: Marketing
🔹 Date Posted: July 10, 2025
🔹 Experience Level: 5-10 years
🔹 Remote Status: Remote OK
🚀 Job Overview
Key aspects of this role include:
- Collaborating closely with marketing and sales departments to identify business opportunities and provide actionable insights from data.
- Defining and tracking KPIs to monitor and explain the performance of the business.
- Leading data-driven decision-making in a group of stakeholders.
- Building dashboards and designing, running, and analyzing AB tests.
- Coaching on best practices in data analysis to foster a data-driven culture.
ASSUMPTION: This role requires a high level of independence and experience in data analytics to drive business decisions and improve marketing efficiency.
📋 Key Responsibilities
✅ Define and track KPIs to monitor and explain the performance of the business.
✅ Provide actionable insights from data to identify business opportunities and estimate their impact.
✅ Lead data-driven decision-making in a group of stakeholders.
✅ Build dashboards and design, run, and analyze AB tests.
✅ Coach on best practices in data analysis to foster a data-driven culture.
ASSUMPTION: The role involves a mix of strategic thinking, data analysis, and communication skills to influence stakeholders and drive business growth.
🎯 Required Qualifications
Education: Bachelor's degree in a relevant field (e.g., Statistics, Mathematics, Economics, or a related discipline) or equivalent experience.
Experience: 4+ years of experience in data analytics, with a proven track record of driving business impact through data-driven insights.
Required Skills:
- Highly skilled in data visualization and storytelling.
- Ability to translate complex data into clear business insights.
- Experience in Superset, Power BI, Looker, Tableau, or similar visualization tools.
- Proficient in SQL.
- Strong business-driven mindset.
- Good knowledge of statistical analysis.
Preferred Skills:
- Experience with BigQuery, Python, Hightouch, Mixpanel, Dagster, or dbt.
- Fluency in additional languages.
ASSUMPTION: Candidates should have a strong foundation in data analysis and be able to communicate complex findings effectively to non-technical stakeholders.
💰 Compensation & Benefits
Salary Range: Gross salary starting point from 4200 EUR/month based on experience. Quarterly salary reviews.
Benefits:
- Unlimited learning budget for self-improvement.
- Flexible working hours and remote work possibilities.
- Private health insurance and unlimited access to psychotherapy.
- Workstation budget.
- Personalized work anniversary gifts.
- Attractive company-led yearly workation abroad and team-led team-building events.
Working Hours: Full-time position with a standard workweek of 40 hours.
ASSUMPTION: The salary range is based on industry standards for a data analyst role with 4+ years of experience in the Lithuanian market. Benefits are designed to support employee well-being and professional growth.
📌 Applicant Insights
🔍 Company Context
Industry: Omnisend operates in the technology industry, specializing in email and SMS marketing platforms for ecommerce businesses.
Company Size: Omnisend has 51-200 employees, providing a mid-sized company environment with opportunities for growth and impact.
Founded: Omnisend was founded in 2014, with a focus on creating a global product that drives ecommerce growth and accelerates online business expansion.
Company Description:
- Omnisend is a customer-centric, product-focused company that aims to create a global email and SMS marketing platform to drive rapid ecommerce growth.
- The company is inspired by the best tech companies in Silicon Valley, focusing on working methods and best practices that enable high performance and productivity.
- Omnisend offers seamless integration with major ecommerce platforms, ready-made automation and email templates, flexible segmentation, and award-winning 24/7 customer support.
Company Specialties:
- Email and SMS marketing platform for ecommerce businesses.
- Seamless integration with major ecommerce platforms.
- Ready-made automation and email templates.
- Flexible segmentation and 24/7 customer support.
Company Website: https://www.omnisend.com
ASSUMPTION: Omnisend's focus on customer-centricity and data-driven decision-making creates an environment that values insights and continuous improvement.
📊 Role Analysis
Career Level: This role is suitable for an experienced data analyst looking to make a significant impact on a growing company's marketing efforts.
Reporting Structure: The Marketing Data Analyst will report directly to the Data Ops team and collaborate closely with marketing and sales departments.
Work Arrangement: This role offers flexible working hours and remote work possibilities, allowing for a balanced work-life integration.
Growth Opportunities:
- Contributing to a data-driven approach in the company and driving business growth through data analysis.
- Gaining experience in a fast-paced, customer-centric environment with a focus on continuous improvement.
- Potential career progression within the data or marketing teams as the company continues to grow.
ASSUMPTION: This role offers opportunities for professional growth and development within a dynamic and data-driven company environment.
🌍 Location & Work Environment
Office Type: Omnisend has offices in Kaunas and Vilnius, Lithuania, with remote work possibilities.
Office Location(s): Kaunas, Lithuania and Vilnius, Lithuania
Geographic Context:
- Kaunas and Vilnius are major cities in Lithuania, offering a mix of urban and cultural experiences.
- The cost of living in Lithuania is generally lower than in Western European countries, providing an affordable lifestyle.
- Lithuania has a favorable time zone for collaboration with international teams, with a 1-2 hour difference from major European cities and a 7-9 hour difference from the US East Coast.
Work Schedule: Full-time position with a standard workweek of 40 hours, with flexible working hours and remote work possibilities.
ASSUMPTION: The location and work environment offer a blend of urban living, cultural experiences, and a lower cost of living compared to Western European countries, with a favorable time zone for international collaboration.
💼 Interview & Application Insights
Typical Process:
- Online application submission through the provided link.
- Phone or video screening to assess communication skills and cultural fit.
- Technical interview to evaluate data analysis and visualization skills.
- Final interview with the hiring manager to discuss the role, team dynamics, and company culture.
Key Assessment Areas:
- Data analysis and visualization skills.
- Communication and presentation skills.
- Business acumen and problem-solving abilities.
- Cultural fit and alignment with company values.
Application Tips:
- Tailor your resume and cover letter to highlight relevant skills and experiences for this role.
- Prepare a portfolio or examples of your data analysis and visualization work to showcase during the interview process.
- Research Omnisend's company culture and values to demonstrate your fit and enthusiasm for the role.
ATS Keywords: Data analysis, data visualization, KPI tracking, AB testing, business insights, marketing efficiency, data-driven decision-making, stakeholder communication, SQL, Superset, Power BI, Looker, Tableau
ASSUMPTION: The interview process is designed to assess the candidate's technical skills, communication abilities, and cultural fit, with a focus on data analysis and visualization.
🛠️ Tools & Technologies
- BigQuery
- Superset
- dbt
- Hightouch
- Mixpanel
- Dagster
- Python
- Airbyte
ASSUMPTION: The tools and technologies listed are commonly used in the data analysis and marketing fields, with a focus on data visualization, data warehousing, and data transformation.
👔 Cultural Fit Considerations
Company Values:
- Customer-centric
- Data-driven
- Continuous improvement
- Transparency and open communication
- High-performing and productive environment
Work Style:
- Independent and self-driven
- Collaborative and team-oriented
- Focused on results and impact
- Adaptable to a fast-paced, changing environment
Self-Assessment Questions:
- Do you thrive in a data-driven environment and enjoy translating complex data into clear business insights?
- Are you comfortable working independently and collaborating with cross-functional teams to drive business growth?
- Do you embrace a customer-centric mindset and focus on continuous improvement?
ASSUMPTION: Omnisend's company culture values data-driven decision-making, continuous improvement, and a customer-centric approach, with a focus on high performance and productivity.
⚠️ Potential Challenges
- The role may require working with large datasets and complex queries, which can be challenging and time-consuming.
- Collaborating with multiple departments may involve managing competing priorities and stakeholders, requiring strong communication and project management skills.
- The role may require working with legacy systems or data silos, which can present technical challenges and limitations.
- The role may involve working with sensitive customer data, requiring a strong commitment to data privacy and security.
ASSUMPTION: The role presents both technical and interpersonal challenges, requiring a strong data analysis skillset and the ability to navigate complex stakeholder dynamics.
📈 Similar Roles Comparison
- Compared to other data analyst roles, this position places a stronger emphasis on driving business impact through data-driven insights and collaborating with multiple departments.
- In the Lithuanian market, Omnisend offers competitive compensation and benefits packages for data analyst roles, with a focus on professional development and work-life balance.
- Career progression opportunities may vary depending on the company's growth and the individual's performance, with potential paths within the data or marketing teams.
ASSUMPTION: This role offers a unique blend of data analysis, stakeholder communication, and business impact, with competitive compensation and benefits packages and opportunities for career growth.
📝 Sample Projects
- Analyzing customer segmentation data to identify opportunities for targeted marketing campaigns and improved customer retention.
- Developing and maintaining dashboards to monitor key marketing performance indicators and track progress towards business goals.
- Designing and executing AB tests to optimize marketing channels and improve campaign performance.
ASSUMPTION: These sample projects illustrate the range of data analysis and visualization tasks required for this role, with a focus on driving business impact and improving marketing efficiency.
❓ Key Questions to Ask During Interview
- Can you describe the team structure and dynamics within the Data Ops and Marketing departments?
- How does Omnisend support the professional development and growth of its data analysts?
- Can you provide examples of how data-driven insights have influenced business decisions and driven growth at Omnisend?
- How does Omnisend approach work-life balance and employee well-being?
- What are the key priorities for this role in the first 30, 60, and 90 days?
ASSUMPTION: These interview questions are designed to assess the company's culture, team dynamics, and expectations for the role, as well as the candidate's fit and enthusiasm for the position.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through the provided link.
- Tailor your resume and cover letter to highlight relevant skills and experiences for this role.
- Prepare a portfolio or examples of your data analysis and visualization work to showcase during the interview process.
- Research Omnisend's company culture and values to demonstrate your fit and enthusiasm for the role.
- Follow up with the hiring manager one week after submitting your application to express your interest and reiterate your qualifications.
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
