TL;DR
Operations Analyst (Fintech): Investigating and triaging system behaviors, bugs, and operational issues with an accent on validating system behavior using technical tools and identifying root causes. Focus on analyzing data, communicating findings, and evolving processes for efficiency and reliability.
Location: Remote from Latin America
Company
hirify.global is a fintech company revolutionizing the shopping experience with seamless, interest-free installment plans and cutting-edge technology.
What you will do
- Investigate, triage, and escalate bugs and system issues across product and engineering teams.
- Analyze data to identify patterns, root causes, and potential solutions.
- Work with SQL, logs, APIs, and internal tooling to validate hypotheses and confirm system behavior.
- Communicate findings clearly to both technical and non-technical stakeholders.
- Collaborate with engineering, product, and support teams for timely issue resolution.
- Continuously develop domain expertise and improve tooling, workflows, and operational processes.
Requirements
- Strong investigative mindset, able to dissect ambiguous problems and gather evidence.
- High curiosity, naturally inclined to explore edge cases and understand system behavior.
- Ability to break down complex issues into clear, structured problem statements.
- Solid critical-thinking skills, comfortable evaluating conflicting or incomplete data.
- SQL: Ability to write basic queries (joins, filters, aggregations) and confirm system states.
- Programming Familiarity: Exposure to at least one general-purpose programming language (e.g., Python, JavaScript, Java, Go) at a beginner level.
- Basic understanding of APIs, JSON, HTTP, and ability to use tools such as Postman, log viewers, or internal admin dashboards.
- Excellent written and verbal communication skills for cross-team collaboration.
Nice to have
- Experience working in a SaaS, fintech, or data-driven environment.
- Familiarity with ticketing/workflow systems (e.g., Zendesk, Jira).
- Experience writing documentation or contributing to internal knowledge bases.
- Background in quantitative or technical fields.
- Experience with data analysis tools or scripting (e.g., Python, R).
Culture & Benefits
- Relentlessly high standards, continually raising the bar and driving great results.
- Encouragement to develop new ways to do things and take calculated risks.
- A culture of earning trust through attentive listening, candid speaking, and respectful treatment.
- Valuing backbone: respectfully challenging decisions, then committing wholly once a decision is made.
- Focus on delivering results with quality and timeliness despite setbacks.
- Surrounding employees with the best and brightest individuals.
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