Financial Data Analyst

Job Description: Financial/ Data Analyst

About the role

As a Financial Data Analyst you will be a key member of our finance team, responsible for analyzing financial data, cost accounting, statistical modeling, and creating informative dashboards to support strategic decision-making. 

This role is ideal for someone with a strong background in financial and cost accounting, a passion for data analysis, and a knack for turning complex data into actionable insights.

Key Responsibilities:

1. Financial Data Analysis:

    - Analyze financial data to identify trends, variances, and opportunities for improvement.

    - Conduct in-depth financial analysis, including revenue, expenses, and profitability assessments.

    - Develop financial models to forecast future financial performance.

2. Cost Accounting:

    - Manage cost accounting processes, including tracking and analyzing costs related to products, projects, and services.

    - Identify cost-saving opportunities and provide recommendations for cost optimization.

3. Statistical Modeling:

    - Utilize statistical techniques to analyze and interpret financial data.

    - Build and maintain predictive models to support financial forecasting and scenario analysis.

4. Dashboard Creation:

    - Design and develop interactive dashboards and reports using data visualization tools (e.g., Tableau, Power BI) to present financial insights to stakeholders.

    - Ensure dashboards are user-friendly and provide real-time access to key financial metrics.

5. Data Integrity:

    - Ensure data accuracy, consistency, and completeness in financial databases and reports.

    - Collaborate with IT and data teams to resolve data-related issues.

6. Collaboration:

    - Work closely with cross-functional teams, including finance, accounting, and management, to provide data-driven insights and support decision-making.

    - Communicate findings and insights effectively to both technical and non-technical stakeholders.

Requirements: 

• Extensive experience as a data analyst.

• Demonstrated expertise in finance and a solid financial background.

• Proficiency in Dashboard Visualization Tools (e.g., Tableau, Power BI, Looker) and Data Analytics Tools (e.g., Alteryx, Python, SQL, Excel, Google BigQuery, among others).

• Proactive and self-reliant problem solver, capable of addressing challenges independently.

Schedule: Full time (40hs weekly)

Compensation: 4k - 4.5k monthly.