Data Analyst Job at Cynet systems Inc in San Jose

Pay Range: $50hr - $55hr

Key Responsibilities

Data Collection and Preparation

• Gathering financial and operational data from various sources (e.g., ERP systems, CRM, data warehouses, spreadsheets).
• Cleaning, validating, and transforming data to ensure accuracy and consistency for analysis.
• Developing and maintaining robust data models to support FP&A activities.

Financial Analysis and Reporting

• Conducting in-depth financial analysis, including variance analysis, trend analysis, and forecasting.
• Developing and maintaining financial reports, dashboards, and visualizations to communicate key performance indicators (KPIs) and insights to stakeholders.
• Supporting the annual budgeting and forecasting processes through data-driven insights.

Business Partnering and Collaboration

• Collaborating with finance, operations, and other departments to understand business needs and translate them into data requirements.
• Presenting complex data findings in a clear, concise, and understandable manner to non-technical audiences.
• Providing analytical support for strategic initiatives, investment evaluations, and cost optimization efforts.

System and Process Improvement

• Identifying opportunities to automate data collection, analysis, and reporting processes.
• Working with IT and other teams to improve data infrastructure and analytical tools.
• Ensuring data governance and best practices are followed for data integrity and security.

Ad-Hoc Analysis and Special Projects

• Performing ad-hoc analyses to address specific business questions or challenges.
• Participating in special projects that require data expertise, such as M&A due diligence or new product launches.

Required Skills and Qualifications

Educational Background

• Bachelor's degree in Finance, Accounting, Economics, Data Science, Statistics, or a related quantitative field. Master's degree preferred.

Technical Skills

• Proficiency in data manipulation and analysis tools (e.g., SQL, Python, R).
• Strong expertise in spreadsheet software (e.g., Microsoft Excel) for financial modeling and analysis.
• Experience with Business Intelligence (BI) and data visualization tools (e.g., Tableau, Power BI, Qlik Sense).
• Familiarity with financial planning systems (e.g., Anaplan, Hyperion, Adaptive Insights).

Domain Knowledge

• Proven experience working as a Data Analyst within an FP&A function.
• Solid understanding of financial statements, accounting principles, and corporate finance concepts.
• Knowledge of budgeting, forecasting, and financial reporting processes.

Soft Skills

• Excellent analytical and problem-solving skills with a strong attention to detail.
• Ability to translate data into actionable business insights.
• Strong communication, presentation, and interpersonal skills.
• Ability to work independently and collaboratively in a fast-paced environment.
• Strong organizational and time management skills to handle multiple projects simultaneously.