Data Analyst @ SpotOn

What You'll Bring:

• 5 years of experience in data science, business analytics, payments, finance, statistics, or a related field. 
• Strong SQL skills (ability to write complex queries to extract insights), experience with BI tools, and proficiency in programming languages like Python or R. 
• Operating with a bias toward sharing , transparency and collaboration is your default! 
• Diving in, solving problems, and getting things done is second nature - no waiting for perfect conditions. 
• Thriving in fast-paced environments, embracing ambiguity , and taking initiative without a rulebook. 

Perfect candidate also has:  

• Experience in accounting, finance, or SaaS. 
• Flexibility with working hours, ideally availability from 1 PM to 9 PM. 
• Ability to work in hybrid mode from the office in Kraków. 

Here’s a bit about what we have to offer:

• Competitive pay: 11000 - 15500 PLN gross on CoE. 
• Training budget 3500 PLN gross per year. 
• Access to e-learning platforms (O’Reilly). 
• Fully paid private healthcare in LuxMed. 
• Access to the Worksmile platform with a monthly top-up. 
• Company free breakfasts/lunches in the office once a week. 
• Group English classes with a native speaker. 
• Dell Latitude and whatever tools you need. 
• New, modern, bright and comfortable office space in the city centre. 
• A lot of free parking spots around the office. 
• Access to the company’s library. 
• Great working atmosphere. 
• Chill out room with a PlayStation and games. 
• Free snacks and beverages in a kitchen. 
• Company parties and social activities. 
• Employee referral program. 
• Relocation Package within Poland. 

,[ Analytics Genius: Serve up impactful data-backed recs with a focus on predictive modeling and statistical analysis driving strategic decisions and business growth. , Data Transformation: Identify relevant data sources, validate/reconcile data, and build concise and future-proof models designed for adaptability and scalability. , Automation Mastermind: Get to the bottom of data discrepancies and outdated manual processes to ensure smooth operations using machine learning and data pipelines. , Churn Crusader: Dive deep into why merchants are churning, figure out "what happened," and use those insights to help us improve, employing advanced segmentation and predictive analytics. , Understanding causality: Partner with our customer support team to understand the customer sentiment. The goal is to be able to link past interactions during onboarding, past go-live and using our software features to retention and upsell successes. , Team Up: Collaborate with Finance, Operations, Sales, and Product teams to maintain a reliable data infrastructure and contribute to data science initiatives. ] Requirements: Machine learning, Segmentation, Data science, SQL, BI, Python, R, Accounting, SaaS, PM, Dell, ROOM Additionally: Training budget, Private healthcare, English lessons, Support for relocation, Employee referral bonus, Sport subscription, International projects, Free snacks, Free parking, Modern office, Free breakfast, Kitchen, Free coffee, Bike parking, Playroom, Shower, Free beverages, No dress code.