Senior Analyst in Zeeks

Zeeks is an international IT company with Ukrainian roots, known for its highly effective affiliate marketing services in complex, highly competitive niches. Over 13 years, we have built a business with strong expertise, resources and a stable place in the global market.

Today we are moving to a new stage - building a portfolio of our own products in the iGaming niche, targeting Tier-1 markets with high quality standards.

Our products are not games and perform a service function. We create technological, analytical and infrastructure solutions for the iGaming market, similar to how Booking creates a product for the hotel sector.

We are currently looking for a Senior Analyst to become the first member of the analytical team. This role is ideal for someone who enjoys building processes from scratch and wants to have a direct impact on how data is used to make decisions across the company. You will work closely with management to create and implement the analytics function, define processes, configure the data infrastructure and build a system that will provide valuable insights for all business lines.

As the first analyst in the team, you will initially work independently on the basic elements of the system, while simultaneously developing a strategic roadmap for the development of the analytics functions. And then you can lead the Analytics and Data Engineering department, hiring and managing a team to support the company's data needs.

Experience and skills required for the role:

• 5+ years of experience in analytical roles, with a focus on product analytics: user behavior analysis, funnel, A/B testing, feature adoption.
• Deep expertise in web analytics, user behavior analysis and conversion optimization.
• High level of SQL proficiency - confident extraction, transformation and analysis of large arrays data.
• Practical experience using Python for analytics, data collection and data transformation.
• Understanding data warehouse (DWH) concepts and best practices for their implementation.
• Confident command of BI tools: Tableau, Power BI, Looker or similar.
• Knowledge of ETL processes and principles of building data pipelines.
• Basic knowledge statistical analysis and the ability to extract meaningful insights from data.
• English language skills at the B1 level and above.

It will be an advantage:

• Experience in affiliate marketing, iGaming or other performance marketing.
• Experience in building an analytical function orproduct analysis systems from scratch.
• Knowledge of digital marketing channels, attribution models and performance metrics, as well as understanding their relationship with product funnels.
• Sufficient understanding of data engineering principles that allows effective interaction with future data engineers when building scalable analytical solutions.
• Team management experience or performing leadership functions in team processes.
• Knowledge of cloud solutions for data storage and processing (GCP, AWS, Azure) and understanding of their application in analytics.

What we expect from the future Senior Analyst:

Strategic planning:

• Developing a comprehensive product and data analytics strategy aligned with business and product goals.
• Developing a strategic roadmap for the analytics function, which includes the selection and implementation of analytics tools, defining data requirements for deep product insights, as well as planning to expand the analytics team according to business needs.
• Defining key performance indicators (KPIs) and metrics that are critical to affiliate marketing business success.

Data infrastructure:

• Collaboration with management to develop the data architecture vision and plan its implementation.
• Determining the requirements for a centralized data warehouse (DWH) to enable deep analysis of user journeys, product usage and functionality adoption.
• Development of specifications for building a data infrastructure, in particular for tracking events and user behavior, which will be further implemented in cooperation with a data engineer.

Implementation of analytics:

• Implementation of analytics on company sites. frameworks for evaluating the effectiveness of marketing campaigns, ROI and attribution models.
• Perform deep data analysis to gain insights into user behavior, conversion funnels and engagement channel effectiveness.
• Design, implement and analyze A/B tests and other experiments to optimize product, user experience and conversion paths.

Reporting and insights:

• Development of standardized reporting systems for key stakeholders.
• Creation of dashboards and interactive visualizations using BI tools (Tableau, Power BI or others).
• Presentation of analysis results to company management with adaptation of technical insights to the business context.

Team building:

• Definition of roles, areas of responsibility and priorities for the future analytical team.
• Development of a hiring plan and scaling stages of the analytical function, including determining when to hire a data engineer.
• Mentoring and guiding future team members, forming effective collaboration.

What we offer:

• The opportunity to build an analytical system from scratch and directly influence the strategic development of the company's products.
• The prospect of leading the analytical direction in the future and developing your own team.
• Personal development, the opportunity to realize your professional, financial and personal ambitions.
• Flexible schedule, the opportunity to combine a remote format with a visit to the company's office in Kyiv.
• Financial compensation, fixed in currency with the possibility of revision based on the results of the services provided.
• Possibility of booking with the availability of current military registration documents.
• 18 working days of paid break, as well as an additional 5 days-off and Birthday-off, 5 sick leaves (without certificates and hospital letters).
• Annual budget for education and professional development.
• Annual well-being deposit, which provides compensation for: medical services, sports, veterinary medicine, foreign language studies, non-professional studies and hobbies, childcare services (nanny/kindergarten).

Send your resume and we will meet for an interview!