We are seeking a skilled and experienced Platform Analyst to join our team. The ideal candidate will have a strong background in SQL, BI tool and platform accounting/ financial analytics. This role involves supporting ongoing change initiatives and day-to-day finance operations through testing, research, and investigation of platform and financial accounting data/transactions.
Role & Responsibilities:
Trace problem areas in the platform from a financial standpoint.
Identify platform issues and quantify their financial impact.
Build weekly, monthly, and quarterly reports for Finance leads.
Analyze data and share insights on trends by drilling down into various dimensions.
Provide actionable data-driven recommendations to stakeholders business questions.
Investigate data quality issues reported by analysts and find solutions/fixes.
Collaborate with engineering teams to investigate data discrepancies/issues.
Push for continuous improvement in best-in-class data visualization.
Requirements:
5-8 years of relevant experience in platform management, BI tool integration, or related fields.
Extensive experience with BI tools such as Tableau, Power BI, or others.
Proficiency in SQL and experience with relational databases.
Knowledge of Python is a plus.
Strong analytical and problem-solving skills.
Knowledge of accounting/finance is a plus
Strong analytical capabilities and logic-driven mindset.
Understanding of data gathering, inspecting, cleansing, and transforming techniques.
Ability to thrive in a dynamic environment with a high degree of ambiguity.
Strong communication skills with the ability to distill complex subjects to a wider audience.
Product/platform-based research, investigation, and analytics experience.
Ability to analyze and interpret large and complex datasets.
Strong attention to detail and ability to document test procedures and outcomes.
Experience working with product / platform / payment / accounting transactions preferred.
Excellent communication and collaboration abilities.
Preferred Skills:
Basic understanding of data engineering principles and practices.
Education:
Bachelors or Masters degree in Computer Science, Finance, Accounting, Economics, Information Technology, Engineering, or a related field
