Bitdefender

Bitdefender is a cybersecurity leader delivering best-in-class threat prevention, detection, and response solutions worldwide. Guardian over millions of consumer, enterprise, and government environments, Bitdefender is one of the industry’s most trusted experts for eliminating threats, protecting privacy, digital identity and data, and enabling cyber resilience. With deep investments in research and development, Bitdefender Labs discovers hundreds of new threats each minute and validates billions of threat queries daily. The company has pioneered breakthrough innovations in antimalware, IoT security, behavioral analytics, and artificial intelligence and its technology is licensed by more than 180 of the world’s most recognized technology brands. Founded in 2001, Bitdefender has customers in 170+ countries with offices around the world. For more information, visit https://www.bitdefender.com

About the Role:

We are seeking a highly skilled and experienced Senior Financial Data Analyst to join our team. The ideal candidate will have a strong background in finance, with ACCA certification, and extensive experience in data analytics using tools. This role will involve analyzing complex financial data, producing detailed reports, and providing actionable insights to support strategic decision-making.

Key Responsibilities:
Analyze complex financial datasets to identify trends, patterns, and insights that drive business decisions.
Develop and maintain dashboards and reports using PowerBI to support reporting and business insights across Finance, Operations, and Strategy teams.
Implement, automate, report and update financial and business performance KPIs.
Contribute to business cases, forecasting, and budgeting efforts.
Perform variance analysis and root cause identification to support executive decision-making.
Create workflows to automate data processes and improve efficiency.
Collaborate with cross-functional teams to identify and solve business problems.
Ensure data accuracy and integrity in all outputs, using QA checks and audit processes.
Develop and maintain SQL scripts to support data extraction, transformation, and loading (ETL) processes.
Contribute to continuous improvement of data governance, definitions, and metadata documentation.

Requirements:

Proven experience as a Financial Data Analyst or similar role.
ACCA certification or equivalent financial qualification.
Knowledge of financial modeling and forecasting techniques.
Proficiency in data analytics, data visualization, reporting tools such as PowerBI and SQL.
Comfortable working with large, multi-source datasets and proficient in Excel and data modeling.
Proven experience in developing analytical models and reports based on business requirements.
Familiarity with financial systems, ERP software, CRM systems.
Experience with other data analytics tools such as Python or R.

Strong analytical and problem-solving skills.
Ability to work collaboratively with cross-functional teams.
Attention to detail and a commitment to data accuracy and integrity.