Data Engineer III: AI-Driven Insights & Dashboards

SOMERSET STAFFING; St. Louis (MO); On-site; USD 90,000 - 120,000; Full time

Job summary

SOMERSET STAFFING seeks a data analytics professional to design, develop, and apply methods for consolidating and analyzing diverse data sources. You will generate actionable insights for client services and product enhancements from both structured and unstructured data.

The role involves building and maintaining reports, dashboards, and data generators, using SQL, Python, and R to support decision-makers. Collaboration with data engineers and analysts is essential.

Qualifications

• Proficient in analyzing structured and unstructured data.
• Strong statistical and mathematical understanding for modeling and inference.
• Ability to translate business needs into data-driven solutions.

Responsibilities

• Addresses business problems by applying advanced analytics techniques through broad parameters on big, unstructured data sets.
• Designs databases for unstructured data sets, defining how the data will be stored, consumed, integrated and managed.
• Develops optimal techniques and problem-solves to understand and explore multiple reasons for correlations between disparate data sets; provides coaching on how to transform and clean data into an appropriate form for statistical analysis.
• Conducts exploratory data analysis from complex data sources and builds key data sets.
• Works closely with data analysts and data engineers to review and provide feedback on data pipelines and optimization opportunities.
• Translates complex business requirements and technical designs into data science / artificial intelligence solutions aligned to business goals that deliver measurable value to the organization.

Skills

Analytical thinking

Statistical modeling

Data storytelling

Education

Bachelor's degree in a quantitative field

Tools

SQL

Python

R

Job description

SOMERSET STAFFING seeks a data analytics professional to design, develop, and apply methods for consolidating and analyzing diverse data sources. You will generate actionable insights for client services and product enhancements from both structured and unstructured data.

The role involves building and maintaining reports, dashboards, and data generators, using SQL, Python, and R to support decision-makers. Collaboration with data engineers and analysts is essential.