Senior Data Scientist

PicsArt; Berlin; Hybrid; EUR 50.000 - 80.000; Vollzeit

Zusammenfassung

Join a forward-thinking company as a Senior Data Analyst, where you'll leverage your analytical skills to drive strategic business decisions. In this dynamic role, you'll work with vast datasets, utilizing advanced analytics to create insightful reports and dashboards that inform key stakeholders. Collaborate with diverse teams to tackle complex data challenges and enhance business performance. With a hybrid work environment and a culture that promotes innovation, you'll have the opportunity to grow both personally and professionally. If you're passionate about data and eager to make a significant impact, this is the perfect role for you.

Leistungen

Wellbeing benefits (monthly wellbeing fund)

Professional and personal development opportunities

Open culture that emphasizes feedback

Hybrid work setup

Qualifikationen

• 3-5 years in analytics or data science with large datasets.
• Excellent knowledge of SQL and Python for data manipulation.
• Strong experience in building data visualizations and dashboards.

Aufgaben

• Analyze large datasets to provide insights and reporting.
• Develop interactive dashboards and visualizations for stakeholders.
• Conduct A/B tests and experiments to optimize user conversion.

Kenntnisse

SQL

Python (Pandas, visualization and statistical libraries)

Data visualization

Statistical analysis

Analytical skills

Communication skills

Ausbildung

BS / MA degree in Economics, Mathematics, Statistics, Computer Science

Tools

Tableau

Looker

Jobbeschreibung

Picsart is looking for an experienced Senior Data Analyst. The Senior Data Analyst role will lead strategic business decisions by developing and providing data analysis and reporting of complex patterns, insights and trends to internal stakeholders. These insights will help solve highly complex business problems, implement best practices and optimise business performance.

By joining us, you will benefit from

• An honest, open culture that emphasises feedback and promotes professional and personal development.
• Hybrid setup— our team is distributed worldwide, from Armenia to US, UK, Germany, Spain and Romania
• Wellbeing benefits (including a monthly wellbeing fund)
• Growing opportunities — based on your preference you can grow in the company as a people manager or as an individual contributor.
• An environment that fosters innovation and creativity, a culture with the ability to pilot new trends

You will

• Work with huge datasets - get, clean and analyze them, use advanced and predictive analytics to create reports and intuitive dashboards
• Partner with Business and IT teams to understand data / reporting needs, offer solutions to address specific data / reporting challenges
• Execute on business / technical requirements and build multi-purpose interactive dashboard solutions, based on gathered requirements
• Visualize and make effective presentations to communicate complex findings in a structured way for non-technical audience
• Design, execute, and analyze A / B tests and other experiments to optimize user conversion and retention
• Dig deeper into data and find reasons for trends, and metrics changes
• Integrate new tools to solve problems more effectively when needed
• Define the underlying architecture of data collection and ensure data consistency and accuracy during the transformation process.

About you

• BS / MA degree in Economics, Mathematics, Statistics, Computer Science or a related field
• 3-5 years experience in an analytics or data science position working with large data sets from enterprise database platforms, business intelligence development tools to solve complex business problems
• Excellent knowledge of data manipulation languages such as SQL, Python (Pandas, visualization and statistical libraries, etc.)
• Strong experience building intuitive data visualizations and dashboards that influence business decisions and explains the whys, utilizing tools like Tableau, Looker, or similar
• Solid understanding of statistical concepts, hypothesis testing, and regression analysis.
• Strong analytical skills with the ability to manage data collection process, organize, analyze and disseminate significant amounts of information with attention to detail
• Strong synthesis skills with the ability to analyze huge amount of data and extract insights that will drive the product
• Excellent communication and knowledge sharing skills to convey technical findings to non-technical stakeholders.
• Self-motivated, quick learner and innovative person
• Strong problem-solving skills and ability to work independently.
• Detail-oriented and able to meet deadlines in a fast-paced environment.
• Advanced written and verbal English communication skills.