Data Analyst, SQL Specialist

🔥 14 minutes ago

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CRAE GROUP

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

☁️ SaaS

💳 Fintech

🏢 Enterprise

SaaS • Fintech • Enterprise

CRAE GROUP is an enterprise technology and operations partner that builds, runs, and evolves a unified production platform for digital businesses. The company provides a single managed platform (APIs, business logic, data/CRM, payments orchestration, identity/KYC, analytics, workflows) and a 24/7 operations team that carries the pager, support, and incident response. CRAE Group positions itself as a replacement for patchwork stacks — routing and reconciling multiple PSPs (without being a payment processor), unifying customer records, providing live analytics and automation, and operating the backend infrastructure on tier‑1 components (AWS, Kubernetes, PostgreSQL, etc. ). It targets enterprise-scale operators including consumer platforms, fintech/payment businesses, SaaS, and marketplaces under long-term licensing and partnership models.

📋 Description

• Create one-off reports using SQL based on business and operational requests • Translate reporting needs from management, product, finance, CRM, and operations into accurate data outputs • Write, review, and improve SQL queries used in reports, dashboards, exports, and internal tools • Analyze existing queries to identify issues such as incorrect joins, duplicate counting, wrong aggregations, missing filters, or inefficient logic • Review slow or heavy queries and suggest improvements to performance and structure • Help validate that reported numbers are accurate and aligned with business definitions • Recommend improvements to query structure, indexes, views, or reporting approaches where relevant • Document the logic behind important reports and recurring SQL queries • Collaborate with developers and stakeholders to clarify requirements and edge cases • Raise concerns early when data may be incomplete, misleading, or incorrectly interpreted

🎯 Requirements

• Strong SQL experience in production environments • Ability to write, review, and optimize complex SQL queries • Good understanding of joins, aggregations, subqueries, CTEs, indexes, and query execution logic • Experience working with relational databases such as MySQL, PostgreSQL, or similar • Ability to understand business requirements and convert them into reliable data outputs • Strong attention to detail and ability to identify inconsistencies in data • Good debugging and investigation skills when numbers do not match expectations • Ability to explain query logic and findings clearly to both technical and non-technical stakeholders • Practical mindset with the ability to improve existing queries without overengineering • Clear communication and a strong sense of ownership.