Data Analyst @ DataFeedWatch by Cart
(práce v Polsku)

Data Analyst @ DataFeedWatch by Cart

Polsko

Must-haves:

• 2 or more years of experience in a data analyst or data engineer role
• Proficiency in writing robust Python code, especially using Pandas
• Familiarity with Git and collaborative version control practices
• Solid experience with SQL
• Experience building dashboards in Tableau, Power BI, or similar BI tools
• Strong analytical thinking and problem-solving skills
• Excellent communication in English and polish, both written and verbal (C1 level or higher)
• Ability to work autonomously and collaboratively in a fast-paced environment

Nice-to-haves:

• Understanding of core statistical concepts (e.g. hypothesis testing, distributions, correlation, regression models)
• Experience working with Airflow
• Experience working in Agile team, preferably following Scrum framework
• Previous experience in a SaaS or e-commerce environment
• Familiarity with tools and concepts like BigQuery, NoSQL databases, Docker, ETL/ELT and data modeling

About Us

We Help Merchants Grow. DataFeedWatch is a fast growing tech start-up with roots in Silicon Valley and offices in Krakow, Amsterdam, and Prague. Since March 2022 we are part of Cart.com which brings us numerous new opportunities to grow our business and ourselves.

We are a market leader in Feed Marketing Solutions and enable 20,000 online shops on 6 continents to advertise and be successful on shopping channels like Google, Facebook, and Amazon.

If you join us, you will be part of a team of nearly 90 people that includes 15 different nationalities. We are a diverse team that enjoys a perfect work-life balance. We dont just work together, we have lunch together and hang out outside work hours. And most importantly, we like people who make their own decisions and want to grow the company and themselves.

About the Job

Were growing our Data Analytics Team and looking for a curious, technically skilled, and business-minded Data Analyst (mid level) to join us. You’ll play a key role in delivering insights that shape decisions across product, marketing, customer success, and leadership. Youll work closely with stakeholders and Data Analytics team members to build robust data pipelines, automate processes, and create insightful visualizations. Youll also dive deep into our data to uncover trends, deliver impactful insights, and help raise the overall bar for analytics across the company.

Data Analytics team is integrated into every part of the business — we’re not just building dashboards; we’re helping people make better decisions every day. This is a great opportunity for someone looking to apply their technical skills in a fast-paced SaaS environment while continuing to grow and expand their impact.

About You

You’re naturally curious, proactive, and passionate about solving real business problems with data. You enjoy collaborating, asking thoughtful questions, and taking ownership of your work. You’re someone who wants to keep growing, while helping those around you do the same.

What’s in it for You?

• The salary for this position is between 10-13k per month.
• Self-development budget for courses, training, books and conferences
• Flexibility — remote and hybrid arrangements are both supported
• Access to healthcare services, sports card, lunch card, life insurance and more
• Real ownership and the ability to shape the future of our analytics function
• A collaborative team that values curiosity, initiative, and continuous growth

,[Collaborate with stakeholders across departments to define problems and find data-driven solutions, Support and maintain our internal analytics stack using Git, Python (mostly Pandas), SQL and Airflow, Design and optimize data transformation processes, automate routine reporting to support scalable, reliable data workflows, Build and maintain clear, interactive dashboards using Tableau, Analyze structured and unstructured datasets to generate actionable insights, Work with the rest of the Data Analytics team to continuously improve our data engineering processes] Requirements: Python, pandas, Git, SQL, Tableau, Power BI, BI tools, Airflow, SaaS, BigQuery, NoSQL, Docker, ETL, Data modeling Additionally: Sport subscription, Private healthcare, Education budget, Lunch Card & Unlimited snacks, Conferences, trainings, Occasional gifts, Integrations events and celebrations, Training budget, Lunch card, Library, Free parking, Dog friendly office, Free coffee, Bike parking, Playroom.

Kategorie

data

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