Data Analyst (Customer Success Team)

Datricks is an autonomous solution that eliminates financial exposures such as human errors, non-compliance, and fraud, transforming businesses into beacons of airtight Financial Integrity. Its Financial Integrity Platform enables CFOs to enhance their bottom line, improve working capital, and confidently scale their financial operations, significantly boosting their contribution to organizational growth.

Our customers are B2B enterprise organizations that rely on Datricks to optimize their governance, financial operations, and compliance.

As a Data Analyst at Datricks, you will leverage data to drive actionable insights that support our business goals. This role offers the chance to grow your expertise in a dynamic start up environment. You’ll work not only behind the scenes analysing data, but also directly with customers, helping them understand their business processes and gain value from our product. 

If you're eager to make an impact with data-driven solutions in a fast-paced environment and enjoy working with both data and people, this role could be the perfect fit for you!

Responsibilities:

• Collect, clean, and organize financial data from multiple sources to support business needs.
• Perform advanced data analysis to uncover insights and deliver them through aesthetic, organized, and easy-to-use dashboards.
• Design and maintain dashboards and alerts, ensuring they are accurate and meet the needs of end-users.
• Create detailed reports and visualizations that effectively communicate findings to stakeholders.
• Collaborate closely with Product, R&D and Customer Success teams to provide actionable insights that drive decision-making.
• Support customers in understanding and interpreting their data, ensuring they extract maximum value from our solution.
• Translate customer needs and feedback into analytical improvements and product insights.
• Continuously monitor and optimize existing data processes, keeping up with the latest trends in data analysis and finance.

Qualifications:

• Bachelor’s degree in a relevant field (e.g., Data Science, Statistics, Economics, or Finance).
• At least 5–6 years of experience in data analysis, with a proven track record of working with complex datasets.
• High proficiency in SQL.
• Good knowledge of Python (an advantage).
• Knowledge of SAP systems.
• Strong analytical thinking with the ability to quickly learn and understand internal and business processes.
• Previous experience working with external customers, ideally in a hybrid analytical and customer-facing role.
• Effective communication skills, with the ability to present complex data insights in a clear and actionable manner.
• Familiarity with data visualization tools (e.g., ClickHouse, Tableau, Power BI).
• High level of English, both verbal and written.