Manager Data Analyst Government Jobs in Kansas (NOW HIRING)

Job Title: Data Visualization Analyst

Department: EMS Business Intelligence

Location: Remote (Lenexa, KS)

Reports to: Senior Director of Analytics and BI

(Salary range: $75,000 - $85,000/annually)

Who You Are

Step into a role designed for a forward-thinking visual strategist. The Data Visualization Analyst sits at the dynamic intersection of advanced business intelligence, intuitive user experience, and next-generation AI analytics. As higher education marketing rapidly shifts toward AI-driven search discovery and real-time student decision-making, we are expanding our analytical ecosystem to match that scale. Joining the EMS Business Intelligence team means accelerating how our organization and enterprise partners interpret, interact with, and execute complex data to drive enrollment growth.

This is not a traditional reporting role focused on assembling static spreadsheets. Instead, it is a collaborative analytics position dedicated to designing dynamic, AI-assisted visual narratives. Operating as a crucial link between complex cloud architecture and executive strategy, this role helps stakeholders move beyond asking what happened to understand why it happened, what will happen next, and which strategic actions to take. A successful candidate will combine technical curiosity, user-centric design principles, and business acumen to transform raw performance metrics into clear, actionable insights.

Here are the abilities that we seek out: 

• Strategic Visualization & UX Architecture: Design, build, and elevate interactive Tableau and Power BI dashboards that translate complex performance metrics into intuitive, scalable analytics grounded in UX best practices.
• KPI Standardization: Establish enterprise-wide reporting methodologies, custom calculations, drill paths, and standardized KPI frameworks that transition teams away from static outputs toward near-real-time analytics.
• Advanced Data Analysis: Query, aggregate, and analyze multi-source datasets using advanced SQL, conducting exploratory deep dives to uncover conversion anomalies, trend patterns, and revenue opportunities.
• Diagnostic Storytelling: Move beyond descriptive metrics by delivering clear interpretations, predictive hypotheses, and strategic recommendations to help cross-functional leaders answer critical business questions.
• AI-Enabled Workflow Acceleration: Integrate generative AI and agentic analytics into daily BI workflows to streamline SQL development, dataset exploration, QA, and automated insight generation.
• Next-Gen BI Integration: Evaluate and embed natural-language querying, automated anomaly detection, and AI-driven narratives into production tools while maintaining strict human-in-the-loop validation.
• Data Governance & Quality Assurance: Enforce strict data governance, privacy, and security standards through end-to-end source-to-dashboard validation, business logic audits, and root-cause anomaly investigations.
• Documentation & Scalability: Author SOPs, data dictionaries, and reusable design templates to maintain consistency and expand product scalability across the BI ecosystem.
• Cross-Functional Collaboration: Serve as the core analytical liaison between BI, Data Engineering, Account Management, and higher education institution partners, ensuring technical and strategic alignment,
• Executive Communication: Translate complex statistical outputs and analytical methodologies into clear, compelling business narratives for non-technical stakeholders and executive leadership.
• Analytics Enablement & Training: Elevate data literacy across internal teams and client organizations through dedicated training sessions, self-service user guides, and visualization best practices.

Who We Are

EducationDynamics

EducationDynamics is the transformative strategic partner that helps schools meet the challenges and opportunities of serving the Modern Learner. Our mission is to expand opportunity through education by helping colleges and universities understand, engage and serve all students. With services that include marketing, enrollment management, market research, inquiry generation, consulting and student retention, we have dedicated the last 35 years to helping schools prosper as the largest provider of unbundled enrollment growth services.

 What You Offer

Educational Requirements & Background

• Bachelor's degree in Data Science, Analytics, Computer Science, Statistics, Mathematics, Business Administration, or a related quantitative discipline (or equivalent professional experience).
• 5+ years of hands-on experience in business intelligence, data visualization, and quantitative analysis within a collaborative enterprise environment.

Required Skills

• BI Platform Mastery: Advanced expertise in Tableau and/or Power BI, including deep familiarity with DAX, LOD expressions, VizQL, data modeling, and visual performance optimization.
• Advanced Querying & Modeling: Demonstrated proficiency in writing complex SQL queries, joining disparate relational tables, and working within dimensional modeling architectures.
• Cloud & Desktop Tools: Functional experience navigating cloud data platforms (such as Databricks or modern cloud data warehouses) alongside advanced Excel skills (complex formulas, pivot modeling, data manipulation).
• AI Tool Integration: Proven experience leveraging generative AI tools to accelerate code generation, analytical QA, documentation, and data exploration.
• Communication & Storytelling: Proven ability to synthesize complex statistical findings into clear visual and verbal stories for non-technical leadership and external clients.

Preferred Skills

• Advanced Analytics & Scripting: Practical experience utilizing Python or R for statistical modeling, data pipeline automation, forecasting, or advanced data visualization.
• Modern Lakehouse Stacks: Direct experience with Databricks, Lakehouse architectures, or advanced cloud analytics engines.
• Next-Gen BI Technology: Familiarity with modern AI-driven platforms, such as Tableau AI/Agent capabilities or Databricks AI/BI.
• Technical Industry Practices: Understanding of API integrations, version control workflows (Git), and agile project management systems (Jira).
• Industry Certifications: Official certifications in Tableau, Power BI, Databricks, or related Microsoft cloud technologies.

What We Offer

Our Core Values: 

Working Together
We value the people we work with and genuinely enjoy the work we do together.

Working with Standards
We hold ourselves to high standards.

Driving Great Outcomes
We focus on achieving results and making a real impact.

Our Commitment to Advancement 

At EDDY, we value learning and aim to provide a space for everyone to grow and share their knowledge by giving tuition reimbursements for expenses incurred through accepted universities. With this approach taken, we also recognize the hard work of our team members and promote them when these accomplishments present themselves.

Other advantages to working at EDDY include: 

• Medical, dental and vision coverage 
• 401K Plan 
• Remote work or flexible schedules 
• Unlimited Paid Time Off (PTO) 
• Training and growth opportunities 

Physical Factors 

The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. 

• Physical demands: While performing the duties of this job, the employee is occasionally required to walk; sit; use hands to finger, handle, or feel objects, tools, or controls; reach with hands and arms; balance; stoop; talk or hear. The employee must occasionally lift and/or move up to 30 pounds. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. 
• Work environment: While performing the duties of this job, the employee is exposed to weather conditions prevalent at the time. The noise level in the work environment is usually minimal.