Data Analyst

We're Hiring: Data Analyst 

Your Ambition Meets the Challenge 

The baseline: international client base | friendly team | hands-on professional leadership 

The Project – S1MPL (Segment of One Management Platform) 

A next-generation Data Management Platform. 

SaaS S1MPL is a comprehensive, automated & data-driven marketing solution for growing client portfolio profitability. Leveraging various data science tools, S1MPL enables the easy market-wide deployment of marketing campaigns for Merchants and Banks across the consumer lifecycle. 

Location: Kyiv, Chernigivska metro. 

Work mode: 80% in-office / 20% remote. 

Who You Are 

• The last 3+ years of work experience should be in IT, with at least 2 years in tech-driven data analytics (e.g., SQL, Python, visualization tools). 
• Professional achiever: highly self-organized, open-minded, proactive, get-things-done attitude. 
• Dependable: autonomous, morally consistent, emotionally steady, and responsible even when it's inconvenient. 
• An independent self-starter as a tech-driven Data Analyst who gets things done but is also eager to collaborate with tech colleagues and non-tech clients on delivery and service. Brings high emotional intelligence and strong interpersonal skills to every interaction. 
• Comfortable with international business travel (quarterly). 
• A fast learner who thrives on mastering new technologies is a default. 

What You'll Do 

1. Preparation, launch, and analysis of marketing campaigns for clients: 

   a. audience selection (segmentation) 

   b. communication algorithm design and implementation 

   c. testing 

   d. dashboard creation to visualize the results 

2. Providing customized analytical reporting upon client demand. 
3. Automation of regular reporting. 
4. Performing dataset updates, data quality assurance, and building ETL processes. 
5. Client interactions involve managing requirements and expectations to address their needs. 

Your Competencies 

Must have: 

1. Solid command of SQL for building complex queries and optimizing performance. 
2. High-level proficiency in MS Excel. 
3. Knowledge of statistical methods for data analysis. 
4. English speaking proficiency – B1 level or higher. Reading, writing, and listening B2 or higher. 

Nice to have: 

1. Python for data analysis and visualization (libraries such as Pandas, Polars, Numpy, Matplotlib) and machine learning (e.g., Scikit-learn). 
2. Understanding of basic machine learning algorithms and their application. 
3. Basic knowledge of YAML and HTML. 
4. Personal experience in Banking sector, Marketing, Retail. 

Why Join Us? 

• Collaborate with top-tier technologies at scale. 
• Serve international English-speaking clients. 
• Enjoy doing what you love as part of a professional team. 
• Grow in a supportive learning atmosphere where opportunities for training and advancement are essential. 

Ready to level up? 

Let’s talk. Come and get it.