Financial Accountant: Data-Driven Close & Insights

TechDigital Group; Orlando (FL); Vor Ort; USD 65.000 - 90.000; Vollzeit

Zusammenfassung

TechDigital Group is seeking a detail-oriented Financial Accountant to maintain the general ledger, drive the monthly close, and translate data into clear, actionable insights for leadership. The ideal candidate will have GAAP knowledge, 2–5 years of accounting experience, and the technical capability to write SQL queries that extract data from databases, plus advanced Excel skills.

You will prepare journal entries, perform variance analysis (QoQ and YoY), design reporting packages, and present

Qualifikationen

• Bachelor's degree in Accounting, Finance, Information Systems, or a related field.
• 2–5 years of progressive accounting experience, including general ledger management and financial analysis.
• Deep understanding of debits/credits and foundational accounting principles (GAAP or IFRS).

Aufgaben

• General Ledger Management: Prepare, post, and document recurring and ad-hoc journal entries, including accruals, prepayments, and reclassifications.
• Data Extraction & Analysis: Write and execute SQL queries to extract, manipulate, and analyze large volumes of financial data directly from our databases.
• Financial Close: Drive and execute month-end, quarter-end, and year-end close activities.
• Variance Analysis: Conduct deep-dive analyses of financial statements to identify trends and explain QoQ and YoY differences.
• Management Reporting: Design, prepare, and deliver clear financial presentations and reporting packages to senior management.

Kenntnisse

Data analysis

SQL querying

Excel

GAAP knowledge

Journal entries

Ausbildung

Bachelor's degree in Accounting, Finance, Information Systems, or related field

Tools

SAP

Oracle

NetSuite

Jobbeschreibung

We are seeking a detail-oriented, data-savvy Financial Accountant to join our finance team. In this role, you will play a crucial part in maintaining the integrity of our general ledger, driving the financial close process, and providing actionable insights through data-driven variance analysis. The ideal candidate has a rock-solid understanding of fundamental accounting principles (debits and credits) and the technical capability to query large datasets using SQL to translate raw data into clear presentations for leadership.
Key Responsibilities
General Ledger Management: Prepare, post, and meticulously document recurring and ad-hoc journal entries, including accruals, prepayments, and reclassifications, ensuring strict adherence to accounting principles.
Data Extraction & Analysis: Write and execute SQL queries to extract, manipulate, and analyze large volumes of financial data directly from our databases to support month-end close and reporting.
Financial Close: Drive and execute month-end, quarter-end, and year-end close activities, ensuring all deadlines are met with accuracy and compliance.
Variance Analysis: Conduct deep-dive analyses of financial statements to identify and explain business trends, comparing current performance across Quarter-over-Quarter (QoQ) and Year-over-Year (YoY) periods.
Management Reporting: Design, prepare, and deliver clear, high-quality financial presentations and reporting packages to communicate performance metrics to senior management and key stakeholders.
Qualifications & Requirements
Education: Bachelor's degree in Accounting, Finance, Information Systems, or a related field.
Experience: e.g., 2–5 years of progressive experience in accounting, general ledger management, or financial analysis.
Accounting Knowledge: Deep, intuitive understanding of debits, credits, and foundational accounting principles (GAAP or IFRS).
Technical & Systems Proficiency:
Hands-on experience writing SQL (e.g., SELECT statements, JOINs, data aggregation) to navigate and analyze complex datasets.
Advanced proficiency in Microsoft Excel (PivotTables, VLOOKUPs/XLOOKUPs, power queries).
Experience with major ERP systems (e.g., SAP, Oracle, NetSuite).
Analytical & Communication Skills: Proven ability to spot trends in raw data, explain the "why" behind financial variances, and present these findings clearly to non-financial stakeholders.