Analytics Engineer

Title:

Analytics Engineer Location:

Overland Park, KS Job Description:

JOB SUMMARY

Creative Planning is a top tier wealth management firm that provides investment management services and full comprehensive financial planning in‐house. Additionally, it provides managed IT solutions, encompassing data, analytics, automation, network, application, infrastructure, and security management services. Our Managed Service Provider (MSP) team delivers proactive services and addresses unforeseen issues to ensure smooth and efficient client operations. The Analytics Engineer will focus on understanding clients' analytics needs, crafting tailored BI and reporting solutions, and developing scalable data models and pipelines to enable actionable insights. The Analytics Engineer serves as the critical link between data engineering and analytics, utilizing advanced BI tools to deliver impactful visualizations and analysis while maintaining robust data infrastructure. We do not accept resume submissions from third‐party recruiters or staffing agencies. Please contact our recruiting team directly.

JOB DUTIES

Client Engagement

• Collaborate with clients to gather and understand their business intelligence and analytics needs.
• Recommend and implement BI tools and strategies to effectively address client challenges. Business Intelligence & Analytics
• Develop reports and dashboards using tools such as Tableau, Power BI, or Looker Data Studio.
• Translate business requirements into technical specifications and visualizations to support decision‐making.
• Conduct exploratory data analysis to uncover trends, insights, and opportunities for improvement. Data Modeling
• Design and maintain scalable, efficient data models optimized for analytics and BI platforms.
• Utilize DBT (Data Build Tool) to create and document reusable data transformations and models. Data Engineering (Secondary)
• Build and maintain data pipelines to ensure accurate and timely data delivery.
• Use SQL for querying, analysis, and data transformation.
• Collaborate with data engineers to optimize ETL/ELT workflows and database performance. Collaboration and Communication
• Partner with data scientists, data engineers, and business stakeholders to meet analytics requirements.
• Translate complex technical concepts into actionable insights for non‐technical audiences. Data Governance and Quality
• Implement data quality checks and ensure adherence to governance standards.
• Monitor data pipelines and BI systems to maintain performance and accuracy. Innovation and Industry Trends
• Stay informed about advancements in BI tools, data analytics, and engineering practices.
• Identify opportunities to enhance processes and deliver innovative analytics solutions.

REQUIRED EXPERIENCE/QUALIFICATIONS

• 3-5 years of experience in analytics engineering, data analysis, or a related field.
• Proficiency in business intelligence (BI) tools such as Tableau, Power BI, or Looker.
• Strong skills or a willingness to learn: SQL, data modeling, and transformation using DBT.
• Python for data analysis and automation.
• Familiarity with data engineering processes, including ETL/ELT workflows.
• Knowledge of data governance, quality, and compliance best practices.
• Excellent communication and problem‐solving skills.
• Ability to work independently and collaboratively in a fast‐paced environment.