Role in brief
Movavi is seeking a Senior Marketing Analyst to drive data-driven marketing decisions. This role involves using SQL and Python for deep data analysis, LTV modeling, and improving attribution. Candidates with strong analytical skills and experience in marketing analytics, particularly with subscription models, should apply to help optimize marketing effectiveness and identify growth opportunities.
About the role
This role focuses on leveraging data to validate marketing and product hypotheses, performing exploratory analyses to identify growth opportunities, and understanding metric changes. A key responsibility is building and maintaining BI reports for various teams, alongside conducting ad hoc analyses to support marketing, product, and business needs. The work involves deep dives into large datasets to extract actionable insights.
A significant part of the position involves LTV modeling and forecasting, along with developing and improving attribution models. The analyst will also support marketing channels by building budgeting and performance models, and evaluating the effectiveness of marketing activities against business metrics. This requires a solid understanding of subscription models and related metrics such as LTV, retention, and ROI.
Success in this position means transforming complex analytical findings into clear, understandable insights that can be presented to diverse teams. The analyst will collaborate with marketing, analytics, product, and development teams, requiring strong communication skills. The ability to proactively identify patterns and reasons behind metric shifts will be crucial for driving business growth.
The salary for this position ranges from $75,000 to $120,000 USD annually.
Skills that matter here
- SQL: The role requires strong SQL skills to write complex queries for working with large datasets.
- Python: Python will be used for analytics, data processing, and visualization tasks.
- BI systems: Experience with BI systems is necessary for building and maintaining reports for multiple teams.
- statistics: Solid knowledge of statistics is needed for hypothesis testing, experiments, and understanding data foundations.
- marketing analytics: This skill is central to analyzing marketing effectiveness, understanding business metrics, and identifying growth opportunities.
- LTV: Understanding LTV is essential for modeling, forecasting, and evaluating subscription-based product performance.
Who this role suits
- Someone who enjoys diving deep into data to uncover patterns and identify root causes of metric changes.
- A candidate who can translate complex analytical findings into clear, actionable business insights for non-technical stakeholders.
- An individual with a proactive mindset who can independently run analyses and propose solutions.
- A professional experienced with subscription models and metrics, capable of building and refining LTV and attribution models.
From the employer
What you'll get to do
- Use data to validate marketing and product hypotheses
- Run exploratory analyses and identify patterns, growth opportunities, and reasons behind metric changes
- Build, maintain, and improve BI reports for multiple teams
- Perform ad hoc analyses for marketing, product, and business needs
- Work on LTV modeling and forecasting
- Develop and improve attribution models
- Support marketing channels with budgeting and performance modeling
- Analyze the effectiveness of marketing activities and their impact on business metrics
- Work with large datasets, write complex SQL queries, and use Python scripts for analysis and visualization
- Collaborate with marketing, analytics, product, and development teams
- Prepare insights and present complex analytical findings in a clear, easy-to-understand way
Required skills
- Strong SQL skills and the ability to write complex queries
- Experience using Python for analytics, data processing, and visualization
- Experience working with BI systems
- Solid knowledge of statistics and the mathematical foundations needed for hypothesis testing and experiments
- Experience with marketing analytics and business metrics
- Understanding of subscription models and metrics such as LTV, retention, CAC, payback, and ROI/ROAS
- Ability to run deep data analyses and turn findings into clear business insights
- English skills sufficient for reading technical documentation and analytical materials
- Proactive mindset, strong communication skills, and the ability to explain complex ideas in simple terms
Bonus points for experience with
- Subscription-based B2C products
- Building or improving LTV models
- Developing or improving attribution models
- Marketing channels such as PPC, SEO, affiliate, paid social, and others
- Participating in A/B tests and evaluating the results
- Building regular management reporting and presenting business results
- Growing a small team of analysts
Benefits & perks
- Confirmed employment from day one
- Remote work from anywhere in the world or at our office
- Flexible work schedule
- Corporate events and team-building activities
- A personalized approach to professional growth and development within the company
- A team of professionals ready to mentor and share their knowledge and experience
Questions about this role
What is the remote work policy for this role?
This position is fully remote, allowing candidates to work from anywhere in the world.
What level of seniority is expected for this position?
This is a senior-level role, requiring strong experience in marketing analytics.
What are the key technical skills required for this job?
Key technical skills include strong SQL, Python for analytics, experience with BI systems, and solid knowledge of statistics and marketing analytics.
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