Systems Analyst

Davies; España; Remote; EUR 35,000 - 50,000; Full time

Job summary

Davies is seeking a Systems Analyst to support design, delivery, integration, and operation of our insurance platforms. You will translate business needs into system requirements and work with engineering teams to deliver reliable solutions.

The role requires strong analytical skills, SQL proficiency, and experience with data pipelines. It operates on a second shift (2:00 PM–10:00 PM) and offers €35,000–€50,000 per year, full-time, remote from Spain.

Qualifications

• 3+ years of experience as a Systems Analyst, Business Systems Analyst, or similar technical role.
• Strong SQL and data analysis skills.
• Basic understanding of APIs, system integrations, or data interfaces.
• Experience with ETL processes and data pipelines.
• Ability to troubleshoot application, system, or data issues.
• Effective communication with technical and business stakeholders.
• Willingness to learn unfamiliar systems and processes.
• Ability to work second shift, 2:00 PM to 10:00 PM.

Responsibilities

• Understand insurance workflows and translate business needs into system requirements.
• Collaborate with stakeholders and engineers to define data requirements and acceptance criteria.
• Analyze existing applications and integrations to identify improvements.
• Support delivery of changes and validate against requirements.
• Participate in testing, deployment readiness, and post‑production checks.
• Propose workflow simplifications and increased operational visibility.

Skills

SQL

Data analysis

API basics

ETL

Troubleshooting

Cross-functional collaboration

Documentation

Second shift

Tools

Python

MongoDB

Fivetran

Graylog/Splunk/ELK

Job description

Systems Analyst

Application Deadline: 29 October 2026

Department: Graduates

Employment Type: Permanent - Full Time

Location: Home Spain

Compensation: €35,000 - €50,000 / year

Description

We are seeking a technically minded Systems Analyst to support the design, delivery, integration, and ongoing operation of our insurance technology platforms.

This role works at the intersection of business processes and technology. The Systems Analyst will learn our insurance platforms and workflows, help translate business needs into system requirements, support solution design and testing, troubleshoot application and data issues, and work closely with business and engineering teams to deliver reliable solutions.

This is a hands‑on role suited to someone who enjoys understanding how systems work, how data moves between them, and how to investigate when something goes wrong. The successful candidate does not need to be a solution architect or software engineer. We are looking for strong analytical and technical aptitude, curiosity, attention to detail, and a willingness to learn.

The position will primarily support second‑shift operations from 2:00 PM to 10:00 PM, providing important overlap with both daytime delivery teams and evening production operations. For next projects, the person would have a standard 9 - 18.

Key Responsibilities

Business & Systems Analysis

• Develop an understanding of insurance workflows, including underwriting, policy lifecycle, billing, claims, servicing, and downstream data processing.
• Work with business stakeholders, product teams, and engineers to translate business needs into clear system requirements, workflows, data requirements, and acceptance criteria.
• Analyze existing applications, integrations, and processes to understand system behavior, dependencies, and potential areas for improvement.
• Support the implementation of new insurance products and enhancements to existing platforms.
• Document system requirements, business rules, interfaces, data mappings, dependencies, and solution decisions.
• Help maintain traceability between requirements, system changes, testing, and delivered functionality.

Solution Design & Delivery

• Work with business and engineering teams to help develop practical system solutions within our insurance and low-code platforms.
• Review proposed system changes to understand potential impacts to existing applications, integrations, data, and operational processes.
• Review implemented solutions to confirm that they meet documented business and system requirements.
• Support engineering teams by answering requirements questions and helping resolve functional or system-design questions during development.
• Participate in functional testing, solution validation, deployment readiness, and post‑production verification.
• Identify opportunities to simplify workflows, improve supportability, or address recurring system issues.

Data, Integrations & APIs

• Analyze data flows between insurance platforms and internal and external systems.
• Investigate data‑quality issues, field‑mapping errors, and failures within ETL and data‑export processes.
• Assist with defining and validating system interfaces, data mappings, transformation requirements, and API behavior.
• Use SQL and other tools to investigate data issues and identify where discrepancies originate.
• Troubleshoot integration failures and partner with engineering teams to resolve identified issues.
• Support integrations with external insurance partners, including MGAs, TPAs, reinsurers, and distribution partners.

Production Support & Root‑Cause Analysis

• Support in the analysis of production incidents across supported insurance platforms:
  • Investigate application and production issues such as:
  • Integration and API failures
  • Batch‑processing failures
  • Concurrent‑update conflicts
  • Data discrepancies
  • Performance issuesSystem and workflow errors
  • Gather logs, system information, and supporting data to help identify the cause of production issues.
  • Perform root‑cause analysis with support from engineering and other technical teams when needed.
  • Coordinate with engineering teams on issue resolution and validate fixes once implemented.
  • Identify recurring issues and recommend improvements to systems, processes, monitoring, or documentation.
  • Follow appropriate controls and procedures when working with production environments.

Performance & System Reliability

• Help document non‑functional requirements such as performance, availability, scalability, resilience, and operational supportability.
• Support the planning and execution of performance and stress testing.
• Review test results and assist engineering teams in identifying performance or scalability concerns.
• Monitor application behavior and help identify opportunities to improve system reliability and operational visibility.

Automation & Operational Tooling

• Use scripting and lightweight automation to make troubleshooting, validation, and production support more efficient.
• Develop or maintain practical scripts and utilities for activities such as:
  • Data‑quality checks
  • Compliance validation
  • Log analysis
  • Uptime and availability reporting
  • Repetitive operational tasks
• Look for opportunities to reduce manual effort and improve the consistency of recurring support activities.

Skills, Knowledge & Expertise

• 3+ years of experience as a Systems Analyst, Business Systems Analyst, Technical Business Analyst, Application Support Analyst, or in a similar technical role.
• Strong analytical and problem‑solving skills with a desire to understand how interconnected systems work.
• Working knowledge of SQL and experience using data to investigate application or business issues.
• Basic understanding of APIs, system integrations, or data interfaces.
• Familiarity with ETL processes, data pipelines, data mappings, or similar data concepts.
• Experience troubleshooting application, system, integration, or data issues.
• Ability to communicate effectively with both technical and business stakeholders.
• Strong attention to detail and willingness to learn unfamiliar systems, technologies, and business processes.
• Ability to work with production systems using appropriate care, controls, and operational discipline.
• Ability to work second shift, 2:00 PM to 10:00 PM.

Preferred Qualifications

The following experience is helpful but not required:

• Experience working within the insurance industry or with policy, billing, claims, underwriting, or servicing systems.
• Experience with low‑code application platforms.
• Experience with insurance platforms.
• Experience using Python or another scripting language for lightweight automation or data analysis.
• Experience with MongoDB or another document‑oriented database.
• Experience with ETL or data integration technologies such as Fivetran.
• Experience with centralized logging or monitoring tools such as Graylog, Splunk, or ELK.
• Experience investigating APIs or system integrations.
• Exposure to application performance, load, or stress testing.
• Experience supporting business‑critical applications in a production environment.