Data Analytics Engineer

TEAM UP WITH US!

The Data Analytics Engineer is responsible for translating data insights and analysis into data models through data preparation and extraction and defining successful analytics outcomes. The Data Analytics Engineer combines business strategy and technical data knowledge to translate and illustrate complex data models that drive value for the organization. Work is somewhat complex in nature and performed under general supervision, requiring independent judgement.

DO YOU HAVE WHAT IT TAKES?

WHAT YOU'LL DO:

• Collaborate with cross-functional teams and key stakeholders to translate data insights and analysis needs into data models that influence decisions and drive value for the organization.
• Support the team and/or organization in preparing and developing analytic data sources for end users.
• Transform, test and document data for consumption using data engineering best practices.
• Develop, standardize and improve data documentation.
• Improve and optimize data pipelines and/or models.
• Maintain and support reports and dashboards in production.
• Maintain and modify datasets.
• Perform data quality audits to identify issues with data collection.
• Develop working knowledge of relevant data, information, and application architecture to influence decisions.
• Understand key business priorities, marketing goals, customer segments, decision drivers and hypotheses, to create performance metrics.

WHAT YOU'LL NEED:

• Bachelor's Degree in Data Science, Computer Science, Business Analytics, Engineering, Applied Mathematics or other business-relevant discipline from a four-year college or university; OR 4 additional years of relevant data and analytics or technical experience can be substituted in lieu of a degree in addition to the minimum years of work experience.
• 2 years of experience in data and analytics, technical, or business-relevant function; OR if Advanced degree in a STEM discipline, up to 2 years' experience in data and analytics, technical, or business relevant function.
• Entry level to intermediate knowledge of business intelligence platforms, data management platforms, data warehouses and/or lakes, ETL/ELT, or SQL-based languages (Tableau, NoSQL, TSQL, R, Python, or related).
• Experience managing internal metrics, data, and business intelligence strategies.
• Ability to apply data architectural principles to business solutions.
• Ability to use multidisciplinary approach to Data Analytic problems combining technical expertise with analytics and business knowledge.
• Excellent communication and collaboration skills.
• Entry level to intermediate critical thinking and analytical skills for problem-solving.
• Entry level to intermediate business acumen skills.
• Strong attention to detail.

WHY WORK WITH US?

• We like to take care of business and have fun doing it!
• We offer health, dental, vision, life, and more as a comprehensive benefits package.
• Don't you want to work with awesome people?

IMPORTANT INFORMATION:

While performing the duties of this job, the employee is regularly required to sit, talk or hear. The employee is occasionally required to stand and walk.

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

The noise level in the work environment is usually quiet.

Required travel up to 10%.

The Job description is subject to change by the employer as the needs of the employer and requirements of the job change.

EEO/AA