Senior Data Analyst

OPTIVEUM sp. z o.o. • Capon Bridge, WV

3d • Hybrid

About The Position

We are looking for a Senior Data Analyst for our client, a prominent organization in the financial services sector. The core objective of this role is to perform an MVP2 Analysis for an Individual Rights Workflow Tool (IR WT) implemented on the Pega platform. You will be exploring how Data Collection can be optimized, transitioning away from existing robotics and manual processes to more advanced sourcing methods. Your analysis will help the business capitalize on Pega's capabilities to address existing challenges such as increasing data scope, robotics maintenance, manual workload, and governance.

Requirements

• Proven experience in Data Collection analysis, as well as analyzing data structures and data flows.
• Solid understanding of Data Governance, Data Ownership, and Data Lineage concepts.
• Familiarity with API integrations.
• Strong ability to identify and document business rules, dependencies, and current-state processes.
• Highly structured and detail-oriented approach to working with both structured and unstructured data.
• Strong stakeholder management and communication skills, with the ability to coordinate input from multiple teams.
• Advanced English proficiency (fluent/C1+).

Nice To Haves

• Previous background in banking, financial services, or similar regulated industries.

Responsibilities

• Data Structure Analysis: Defining what data points are in scope and documenting how they are structured.
• Current State Evaluation: Identifying where and how data is currently sourced and extracted, including country-specific differences and applied business rules.
• Data Ownership: Identifying the true owners of the data across the organization.
• Future Sourcing Options: Evaluating alternative data retrieval methods (e.g., existing/new APIs, data lakes/marts, or robotic extensions), mapping out dependencies, and providing input for high-level cost estimates.
• Deliverables: Creating comprehensive documentation for each data set regarding its structure, current state, ownership, and future sourcing options.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed