Data Analyst

About the position

The Data Analyst position at Fresno Madera Farm Credit involves providing timely and accurate financial and credit reporting for the Association. The role requires a self-motivated individual to work in a fast-paced team environment, reporting directly to the Managing Director of Business Information. The analyst will be responsible for preparing and analyzing financial information, building reports, and participating in special projects to improve data accuracy and reporting processes.

Responsibilities

• Prepare and analyze financial information using in-house business intelligence tools.
• Verify data accuracy and identify trends.
• Build reports using a combination of SAP Business Objects, SSMS (SQL Server Management Studio), Power BI, Salesforce, and Azure Databricks.
• Create department-specific reports and interpret useful information from data mining queries.
• Maintain standard reports and support the effort to automate additional reports as requested by management.
• Determine requirements for new reports by consulting with requestors.
• Identify available information and determine data to be included.
• Participate in special projects by preparing documents for data accuracy, dictionary, and version controls.
• Execute and analyze processes, recommending improvements.
• Write narrative reports including project scope, activities undertaken, findings, and recommendations.
• Document new procedures for software implementations.
• Serve as a backup to the Risk Management Team on process improvements and reporting.

Requirements

• Two years of experience in financial analysis and reporting or an equivalent combination of education and experience sufficient to perform the essential function of the job.
• Bachelor's degree in finance, accounting, business intelligence, or a related field.
• Expert knowledge of Excel, Visio, and Microsoft Office.
• Expert knowledge of various programs to efficiently pull information.
• Advanced knowledge of SQL programming language.
• Working knowledge of data mining tools, including Azure Databricks, Python, and Power BI.
• Skill in analyzing complex technical data using logic and quantitative reasoning.
• Skill in utilizing time efficiently and effectively.
• Skill in perceiving different dimensions of business and financial issues and making sense of complex issues while being decisive and flexible to change.
• Skill in distilling complex tasks/datasets to clear results.
• Skill in validating results for accuracy.
• Skill in utilizing a systematic approach to problem-solving.
• Skills in recognizing the need for action and initiating activities to address the need.
• Skill in differentiating significant and insignificant details.
• Oral and written communication skills sufficient to discuss a variety of job-related topics and effectively communicate complex topics to various audiences.

Benefits

• Competitive compensation packages
• Excellent benefit programs
• Team-driven, performance-focused culture
• Strong focus on customer service