Job Description

EPAM Systems is seeking a highly skilled

Senior Data Analyst

to support a key client in the banking sector. You will play a critical role in analyzing and modeling data to drive business intelligence, solve complex challenges and support data migration efforts toward modern data architectures. This position offers the opportunity to engage with stakeholders, improve systems and deliver actionable insights that influence strategic decisions. We offer a hybrid work model with a mix of remote and on-site work at our client's office in Zurich.

Responsibilities

Conduct impact assessments by analyzing and mapping as-is vs. to-be data entities for application re-wiring Collect, extract and analyze data to support business intelligence for both day-to-day operations and long-term strategy Collaborate with stakeholders to identify business problems, formulate problem statements and apply analytics for resolution Lead efforts in understanding data stored in legacy data warehousing systems and support migration to a central data lake Evaluate existing data models and databases to identify discrepancies and ensure compliance with schemas Troubleshoot and resolve data-related issues, ensuring seamless execution of data workflows Communicate findings and recommendations to stakeholders using visualization tools such as Tableau or Power BI Conduct regular stakeholder engagements to understand their data needs and propose data-driven solutions to business challenges

Requirements

Proven experience translating business goals into scalable and efficient data models supporting long-term solutions Extensive experience with data warehousing, particularly in migrating data to modern distributed/on-prem data lakes and relational database systems (e.g., Oracle, SAP) Strong expertise in SQL, with proven experience working in mixed data environments, such as legacy DWH and distributed systems Proficiency with data visualization platforms such as Tableau or Power BI to present actionable insights effectively Hands-on experience with data transformation and modeling tools, including Alteryx, Dataiku, Tableau Prep, Hackolade or Erwin Deep knowledge of banking/financial data products and expertise in data classification/sensitivity within the financial sector Strong analytical and problem-solving skills, with a practical understanding of statistics and data quality improvement practices Excellent communication and stakeholder management skills, with fluency in English, knowledge of German is a plus

We offer

5 weeks of vacation EPAM Employee Stock Purchase Plan (ESPP) Enhanced parental leave Extended pension plan Daily sickness allowance insurance Employee assistance program Global business travel medical and accident insurance Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more + All benefits and perks are subject to certain eligibility requirements Please note that any offers will be subject to appropriate background checks We do not accept CVs from recruiting or staffing agencies For this position, we are able to consider applications from the following:
+ Swiss nationals + EU/EFTA nationals
+ Third-country nationals based in Switzerland with an appropriate work permit
+ Displaced people from Ukraine who are currently in Switzerland and hold, or have already applied for, S permits