Cynet systems Inc
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.
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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.
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