Technical Data Analyst (Splunk, Salesforce DB, PostgreSQL)

Technical Data Analyst

Industry:

Financial Services / Payments

Role:

Technical Data Analyst

Key Technologies:

SQL, PostgreSQL, Splunk, Salesforce

Environment:

Consulting / Enterprise Technology

• Role Overview
• We are looking for an experienced
• Technical Data Analyst to support complex data analysis, system integration, and operational improvement initiatives within a large-scale financial services environment.
• The ideal candidate combines strong technical and analytical capabilities with a consulting mindset, demonstrating the ability to understand business challenges, investigate complex data issues, and translate findings into actionable recommendations.
• The role involves working across multiple systems and data sources, collaborating with business and technology stakeholders, and ensuring data accuracy, consistency, and reliability.

Key Responsibilities

• Perform detailed data analysis across enterprise applications, databases, and integrated systems.
• Write and optimize complex SQL queries, primarily using PostgreSQL, to extract, analyze, and validate data.
• Use Splunk to investigate application logs, identify anomalies, troubleshoot data discrepancies, and support root cause analysis.
• Analyze Salesforce data structures, relationships, and data flows to support business and operational requirements.
• Conduct data mapping, reconciliation, and validation between different systems and data sources.
• Investigate data quality issues, identify root causes, and recommend sustainable solutions.
• Collaborate with business analysts, developers, architects, and operational teams to understand requirements and resolve complex issues.
• Translate business needs into technical analysis and clear, actionable insights.
• Prepare analytical documentation, communicate findings, and present recommendations to technical and non-technical stakeholders.
• Proactively identify opportunities to improve data quality, operational efficiency, and existing processes.

Required Skills & Experience

• Proven experience as a Technical Data Analyst, Data Analyst, or technically focused Business Analyst in a complex enterprise environment.
• Strong SQL skills, including advanced queries, joins, aggregations, and data validation.
• Hands-on experience with PostgreSQL or comparable relational database technologies.

Practical experience using

• Splunk for log analysis, troubleshooting, and investigation.
• Experience working with Salesforce data, including understanding its data model, objects, and relationships.
• Strong understanding of data integration, data mapping, reconciliation, and data quality principles.
• Ability to investigate complex issues across multiple systems and identify dependencies.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong communication skills and ability to explain technical findings in business terms.
• Experience working in Agile, cross-functional delivery environments.

Consulting & Stakeholder Management

• Strong consulting mindset, with the ability to approach challenges from both business and technical perspectives.
• Confidence in engaging stakeholders, clarifying ambiguous requirements, and challenging assumptions constructively.
• Ability to work independently, take ownership of deliverables, and proactively drive issues toward resolution.
• Structured approach to problem-solving, with a focus on business value and practical outcomes.
• Strong stakeholder management and communication skills, including the ability to present complex information clearly.
• Adaptability and comfort working in dynamic environments with evolving priorities.

Nice to Have

• Experience in banking, payments, fintech, or financial services.
• Knowledge of payment processing, transaction lifecycles, or merchant onboarding.
• Experience with Salesforce SOQL, APIs, and system integrations.
• Understanding of ETL/ELT processes and data pipelines.
• Experience with incident investigation, production support, or root cause analysis.
• Familiarity with Jira, Confluence, and Agile delivery methodologies.

Ideal Candidate Profile

• A hands-on, technically strong Data Analyst who is comfortable working directly with databases, application logs, and enterprise data platforms. The candidate should be capable of investigating complex cross-system issues while maintaining a broader understanding of business processes and stakeholder expectations.
• B2B cooperation in a hybrid model, with the option to provide services from the Warsaw office to the extent agreed based on project needs.
• Recruitment Process:

HR Interview with the recruiter

• Technical Interview
• Client Interview
• Feedback and offer #LI-HYBRID