Rossum

BI/Data Analyst

Prague, Czech Republic
SQL Python R
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Description

At Rossum, we are on the lookout for a talented and detail-oriented Data Analyst to join our rapidly growing team. As a Data Analyst, you will play a pivotal role in driving our data strategy by managing and optimizing data workflows, performing in-depth analysis, and providing actionable insights to support our Go-To-Market (GTM) teams. You will work closely with our Data Engineer and other cross-functional teams to ensure data accuracy, integration, and usability for decision-making. This role offers a fantastic opportunity to work with advanced data platforms, such as Keboola, and influence business outcomes with your analytical expertise.

Key Responsibilities:

  • Analyze large data sets to uncover trends, identify opportunities, and provide insights that will drive decision-making for our GTM and Product teams

  • Ensure high standards of data accuracy, consistency, and completeness by monitoring data pipelines and implementing best practices for data governance.

  • Work with Sales, Marketing, Product, CX, and Finance teams to understand data requirements and provide the necessary analytics support.

  • Build and maintain dashboards in BI tools (Tableau) for executive reporting and GTM performance tracking.

  • Proactively identify areas of improvement in data processes, tools, and reporting to optimize efficiency and effectiveness across the organization.

  • Help design, develop, and maintain ETL processes to ensure efficient data extraction, transformation, and loading from multiple sources (CRM, Product, Billing, and more) into our centralized data warehouse.

  • Manage and optimize data workflows within Keboola, ensuring seamless data integration and automation across GTM tools and product data (Salesforce, JIRA, etc.).

About You:

  • At least 1 year of experience as a Data Analyst, preferably in a Revenue Operations or GTM environment.

  • Experience with ETL tools and processes; hands-on experience managing data pipelines is a plus.

  • Experience working with Keboola or similar data integration platforms is highly desirable.

  • Proficiency in SQL for querying and manipulating large datasets; familiarity with data warehousing concepts.

  • Experience with visualization tools such as Tableau, Power BI, or Looker.

  • Ability to translate business problems into data-driven insights and present findings to non-technical stakeholders.

  • Excellent communication skills and the ability to work cross-functionally in a fast-paced environment.

  • Strong focus on data accuracy, process efficiency, and delivering high-quality results.

Bonus Skills:

  • Familiarity with Salesforce or other CRM platforms.

  • Knowledge of Python or R for advanced analytics.

  • Experience in subscription-based software businesses.

What We Offer:

We are building a hyper-growth SaaS startup following the best Silicon Valley practices in Prague.

  • We designed the Employee Stock Option Plan as the fairest in Prague.

  • Enjoyable working environment with a very diverse team (27+ nationalities) in a beautiful office with a 200 m2 terrace and a view of the Prague castle in the heart of Karlin.

  • 5 weeks of vacation, flexible working hours, and home office setup.

  • Tasty snacks & the best coffee and tea in Prague.

  • English and Czech language lessons on all levels.

  • Multisport card to get your workout at any of 2 700 places in Czechia.

Rossum
Rossum
Artificial Intelligence (AI) Document Management Machine Learning SaaS Software

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