Senior Data Analyst

🕒 July 3

🏢🏡 São Paulo – Hybrid

⏰ Full Time

🟠 Senior

📉 Data Analyst

👻 Ghost score 22%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

SysMap Solutions

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1999

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

SysMap Solutions is a services company devoted to offering technological development to its customers since 1997. With a focus on cloud solutions, Salesforce, mobile development, CRM, user experience, DevOps, machine learning, and digital transformation, SysMap Solutions leverages its extensive experience to craft complex codes and systems that meet client demands. The company prides itself on its ability to deliver tailored solutions, ensuring that the final product is precisely aligned with customer needs. In the Age of Information, SysMap Solutions stands out as a knowledgeable partner in technology.

📋 Description

• Analyze legacy systems, applications, and integrations to understand end-to-end data flows; • Investigate APIs, DTOs, payloads, database structures, SQL queries, and source code; • Identify, map, and document data flows, business rules, validations, and inter-system dependencies; • Reconstruct and formalize Data Lineage, Data Flow, Data Dictionary, Data Models, and Audit Trail artifacts; • Map technical structures to business semantic concepts, ensuring traceability of information; • Perform reverse-engineering activities to understand legacy applications, databases, and integrations; • Support data inventory, cataloging, and information governance initiatives; • Use AI-assisted analysis tools to accelerate investigations, documentation, and technical analyses; • Evaluate, validate, and augment results produced by AI tools, ensuring data quality and consistency; • Produce structured technical documentation and governance artifacts aligned with corporate standards; • Collaborate with Data Governance, Architecture, and Development teams, as well as business areas; • Contribute to the continuous improvement of traceability, quality, and understanding of the organization's data assets.

🎯 Requirements

• Experience analyzing and investigating legacy systems; • Intermediate to advanced SQL skills; • Ability to read and understand source code; • Knowledge of APIs, JSON, DTOs, and system integrations; • Analytical, investigative, and problem-solving mindset; • Ability to interpret technical flows and their relation to business rules; • Intermediate English; • Java and Spring Boot ecosystem; • Oracle and/or SQL Server; • Database reverse engineering, including stored procedures; • Concepts of Data Lineage, Data Governance, and Metadata; • Data governance and catalog tools (e.g., Collibra); • Experience with data inventory and flow mapping; • Experience in the insurance market; • Experience with data governance, lineage, or inventory initiatives; • Knowledge of engineering workflows supported by AI; • Experience with tools such as GPT, Devstral, Continue Extension, or similar.

🏖️ Benefits

• N/A