Description:

The Financial Data Analyst will analyze financial data, identify trends, and help guide informed decisions that improve profitability and operational efficiency.
This role involves working closely with finance teams, data scientists, and business leaders to gather, analyze, and interpret financial data.
Key responsibilities include gathering and analyzing financial data to identify trends, variances, and opportunities for growth, and creating detailed financial reports.
The analyst will develop predictive models using statistical techniques and machine learning algorithms to forecast financial performance and project future revenues and costs.
Collaboration with cross-functional teams is essential to ensure alignment between data insights and business objectives.
The analyst will monitor key financial performance metrics and develop dashboards and reports for real-time performance tracking.
Support for budgeting, forecasting, and long-term financial planning will be provided through financial analysis and scenario analysis.
The role includes identifying cost-saving opportunities by analyzing spending patterns and operational costs.
Ensuring the accuracy and integrity of financial data through robust data validation processes is a critical responsibility.

Requirements:

Strong experience in financial data analysis, with expertise in building financial models, performing trend analysis, and using statistical techniques to analyze large datasets.
Proficiency in Excel, SQL, and data analysis tools like Python or R is required.
Experience in developing predictive models to forecast financial performance and project revenues and costs, with familiarity in machine learning algorithms.
Proficiency in data visualization tools such as Power BI, Tableau, or other dashboarding tools is necessary.
Excellent collaboration skills with the ability to work cross-functionally with finance, operations, and business teams are essential.
Strong attention to detail and accuracy when analyzing financial data is required.
A Bachelor’s or Master’s degree in Finance, Economics, Data Science, Mathematics, or a related field is required, with equivalent experience in financial data analysis highly valued.
Certifications such as Chartered Financial Analyst (CFA) or Certified Financial Planner (CFP) are a plus.
A minimum of 3 years of experience in financial data analysis, with hands-on experience analyzing financial statements and building financial models is required.
Experience in industries such as finance, banking, insurance, or tech is highly desirable.

Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums are provided.
Competitive vacation, sick leave, and 20 paid holidays per year are included in the benefits package.
Flexible work schedules and telecommuting options promote work-life balance.
Opportunities for training, certification reimbursement, and career advancement programs are available for professional development.
Access to wellness programs, including gym memberships, health screenings, and mental health resources is offered.
Life insurance and short-term/long-term disability coverage are part of the benefits.
Confidential counseling and support services for personal and professional challenges are provided through the Employee Assistance Program (EAP).
Financial assistance for continuing education and professional development is available through tuition reimbursement.
Opportunities to participate in community service and volunteer activities are encouraged.
Employee recognition programs celebrate achievements and milestones.