Platform Analyst

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🕒 2 days ago

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Technoidentity

51 - 200 employees

Founded 2011

🔌 API

🤖 Artificial Intelligence

💳 Fintech

API • Artificial Intelligence • Fintech

Technoidentity is a technology company that specializes in developing innovative applications for a variety of sectors, leveraging Big Data, Cloud Computing, and the Internet of Things. They focus on creating robust, modern solutions that enable businesses to solve problems and seize new opportunities, particularly within the fintech space. Technoidentity is committed to driving digital transformation and enhancing business performance through advanced technology and a strong consulting approach.

📋 Description

• Define, build, and maintain standardized financial and operational metrics, dashboards, and reports that leadership can rely on for decision making. • Extract, manipulate, and analyze large datasets to surface trends, anomalies, and actionable insights across finance and accounting workflows. • Serve as the main interface between finance, accounting, engineering, analytics, and business partners. • Validate assumptions, enforce data quality standards, and ensure reporting is accurate, consistent, and aligned with internal and regulatory requirements (e.g., SOX, GDPR, US GAAP). • Partner with Engineering and data teams to shape source-of-truth data assets and standardized reporting structures. • Support Accounting through monthly, quarterly, and year-end close cycles by delivering accurate reporting, reconciliations, and analysis. • Plan, scope, and execute reporting and analytics enhancements, migrations, and rollouts. • Identify and apply AI and automation opportunities to accelerate analysis, reporting, and insight generation. • Support audit readiness, documentation, and periodic reviews.

🎯 Requirements

• Proficiency in SQL and experience working with large datasets. • Strong experience with BI and visualization tools (for example, Tableau, Looker, or Mode) and advanced Excel. • Familiarity with cloud data platforms (for example, Snowflake) and financial systems (for example, Oracle Fusion Financials or NetSuite). • Solid understanding of financial reporting, accounting workflows, and the close process, with awareness of US GAAP and SOX. • Excellent communication and storytelling skills, with the ability to present complex data clearly to leadership and cross-functional partners. • A proactive mindset and genuine interest in applying AI to streamline finance and analytics operations. • Bachelor's or Master's in a quantitative or related field (for example, Statistics, Economics, Finance, Computer Science, or Information Systems), or equivalent experience.

🏖️ Benefits

• No specific benefits listed in the job description.

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