Analytics Engineer

The Waldinger Corporation - Des Moines, IA

Full-time - Entry Level

Des Moines, IA

Specialty Trade Contractors

About the position

The Analytics Engineer I position at The Waldinger Corporation is an entry-level role focused on building and optimizing data models to support business analytics and reporting. The role involves collaboration with senior engineers, data analysts, and business stakeholders to ensure high-quality data models that facilitate effective use of business intelligence tools like Tableau. This position offers an excellent opportunity for skill development in data engineering and analytics within a supportive team environment.

Responsibilities

• Assist in developing and maintaining data models in Snowflake using dbt to support business analytics and reporting needs.
• Write and optimize SQL queries for data extraction, transformation, and loading (ETL) processes under guidance from senior team members.
• Collaborate with senior engineers, data analysts, and business stakeholders to understand business requirements and translate them into data models.
• Help build and manage data pipelines and workflows using dbt and other ETL tools.
• Ensure data quality and integrity throughout the data lifecycle, with a focus on learning and applying best practices.
• Develop data models that provide the foundation for Tableau dashboards and other BI visualizations.
• Troubleshoot and resolve data issues as they arise, with mentorship from senior engineers.
• Learn and stay updated on the latest data engineering and analytics technologies and best practices.

Requirements

• Bachelor's degree in computer science, information systems, or a related field, or equivalent work experience.
• 1-2 years of experience in analytics, data engineering, or related role (internships or project work acceptable).
• Experience in writing SQL queries and working with data models.
• Familiarity with data warehousing, ETL, or BI tools (e.g., Tableau, Power BI).
• Willingness to learn dbt, git, CI/CD, and Python, with a strong interest in developing a career in data engineering and analytics.
• Strong analytical and problem-solving skills, with a keen attention to detail.
• Good communication and teamwork skills, with the ability to work effectively in a collaborative environment.

Nice-to-haves

• Some experience or coursework in data engineering, analytics, or relevant fields.
• Familiarity with cloud data platforms (e.g., Snowflake, AWS, Azure) is a plus.

Benefits

• Paid holidays
• Health, dental and vision insurance
• Growth potential with a stable company
• Paid vacation
• Wellness reimbursement program
• 401k with company match and profit-sharing
• Continuing education and advancement opportunities
• Tuition reimbursement
• Term, AD&D and Dependent Life insurances
• Prepaid Legal