Data/Analytics Engineer

$117,000 - $152,000/Yr

Wilson Language Training - Little Rock, AR

Full-time - Mid Level

Little Rock, AR

Publishing Industries

About the position

The Data/Analytics Engineer at Wilson Language Training plays a crucial role in bridging the gap between data engineering and data analysis. This position is responsible for building and maintaining robust data pipelines, transforming raw data into actionable insights, and collaborating with various teams to support data-driven decision-making. The role emphasizes the importance of data quality, optimization, and documentation while fostering a culture of professional development and inclusivity within the organization.

Responsibilities

• Design, develop, and maintain scalable data pipelines to ingest, process, and store large volumes of data from various sources.
• Create and manage data models to support analytics and reporting needs, ensuring data accuracy and consistency.
• Implement ETL (Extract, Transform, Load) processes to ensure the smooth flow of data from source systems to data warehouses.
• Work closely with data analysts and business stakeholders to understand data requirements and deliver data solutions that meet their needs.
• Implement data quality checks and monitoring to ensure the reliability and accuracy of data.
• Optimize data processing and storage for performance and cost efficiency.
• Maintain comprehensive documentation of data pipelines, models, and processes.
• Assist Business Systems team with adhoc querying and reporting from ERP/CRM systems and help with data integrations between these systems and custom built applications.
• Stay up-to-date with industry trends and best practices in data engineering and analytics, and apply them to improve existing processes.
• Understand and display WLT's values.

Requirements

• Bachelor's degree in Computer Science, Data Science, Information Technology, or a related field; a master's degree is a plus.
• 3+ years of experience in data engineering, analytics, or a related field.
• Proficiency in Microsoft SQL, dBT, Python, and/or R.
• Experience with data pipeline tools (e.g., Apache Airflow, Luigi) and data warehousing solutions (Azure SQL, Azure Fabric, Azure Synapse).
• Familiarity with Microsoft Power BI.
• Experience with cloud platforms like Azure Fabric.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Nice-to-haves

• Knowledge of machine learning and predictive analytics.
• Experience with version control systems (e.g., Git).
• Understanding of data governance and security best practices.

Benefits

• Medical, dental, vision, and Life & Disability Insurance
• 401k plan with partial employer match
• Paid Time Off
• Paid holidays
• Tuition reimbursement
• O-Connor days, which refers to a company-wide office closure between Christmas and New Year's Eve.