Senior Data Analyst

LOOKING FOR CANDIDATES LOCAL TO WICHITA, KS

Headquartered in Wichita, KS AgVantis is a unique and distinct technology solutions and business services organization, providing its solutions and services to both Farm Credit Banks and Member-Owned Associations.

We help navigate the complex Farm Credit regulatory environment with solutions and services that are designed by and for Farm Credit Entities to meet their unique business needs.

Since our inception in August of , AgVantis has and continues to develop and provide customized financial software and business services to Farm Credit Associations around the United States.

Benefits offered by AgVantis :

• Powering those who grow America
• Investment in employee development and training
• Medical, Dental, Vision coverage (HSA and FSA available)
• Outstanding K - automatic 3% employer contribution, plus match up to 6%
• Generous Paid Time Off, plus 10 paid holidays
• Competitive Incentive Compensation Plan
• Disability & Life Insurance
• Employee mental, physical, and financial wellness programs
• Gym Membership Discounts
• Zander Identity Theft Protection for employee and family
• Hybrid WorkSchedules

POSITION SUMMARY

AgVantis is seeking a Senior Data Analyst to join our Business Intelligence team. The team is focused on realizing the company data strategies in providing data services excellence, innovative service delivery, operational excellence, and data compliance and security to our Owner-Associations.

ESSENTIAL FUNCTIONS

The Senior Data Analyst is responsible for gathering requirements, designing, building, and testing data visualizations (reports, dashboards) that align data with business insights.

The data analyst supports Product Management by connecting customer processes and desired business insights with the underlying data model, ensuring that Product Management fully understands how data and technology can support customers.

A data analyst may also perform research and analysis and support Product Management in customer interactions to fully understand customer needs and maximize value delivered to the customer.

The Senior Data Analyst also gathers and analyzes requirements to be used by data architecture and data engineers to design and build pipelines to curate and process data models.

This includes an understanding of data mapping from a source to target model. This role will work with key business stakeholders, data management and data governance teams.

Activities Include :

• Collaborate with data teams to collect, analyze, and interpret large datasets.
• Work with product management and business analyst teams to gather customer requirements to understand data needs and deliver insights that inform product strategy.
• Support operations by providing analytics that improve efficiency and effectiveness.
• Develop and maintain dashboards and reports that track key metrics and performance indicators.
• Lead cross-functional initiatives to address data-related challenges and opportunities.
• Ensure data accuracy and integrity by implementing quality control measures.
• Communicate findings and recommendations to stakeholders at all levels of the organization.

OTHER FUNCTIONS

• Participating in the Infrastructure Department efforts to ensure that the company applications and services meet regulatory compliance, security, and business continuity standards.
• Performing other duties and assumes other responsibilities as required.

MINIMUM QUALIFICATIONS

• Bachelor’s degree in data science, computer science, statistics, mathematics, or a related field; or equivalent experience
• Minimum of 5 years of experience in a data analysis role.
• Experience mentoring and coaching junior data analysts
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Proficiency in data analysis tools (e.g., SQL, Python, R) and data visualization platforms (e.g., Tableau, Power BI).
• Basic understanding of UI / UX principles as it pertains to reporting
• Experience working with data teams, product management, and operations.
• Familiarity with standard concepts, best practices and procedures within the data visualization field
• Experience in testing data visualizations
• Excellent verbal and written communication skills.
• Regular attendance is required on this job, with the ability to work a full 8 hour day.

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