Data Analytics Engineer | ETL, SQL & Tableau

Kpi-Solutions; Cincinnati (OH); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Life Insurance

Short-Term Disability

Long-Term Disability

Pet Insurance

Milk Stork Program

Wellness Program

Paid Time Off

Training & Development

Job summary

KPI Solutions is seeking a Data Engineer to support consulting engagements and pre-sales data integration work. You will apply applied data analytics and data engineering to transform raw data into actionable insights.

Responsibilities include ETL, ad hoc reporting, and creating visualizations with Tableau and Excel. The role emphasizes collaboration with project leaders and continual improvement of data tools and processes.

Qualifications

• Strong problem-solving skills.
• Ability to communicate effectively with internal individuals and teams as well as external stakeholders.
• 3+ years of experience in data analytics, data engineering, or data science in a professional setting, or formal education in a quantitative field (Mathematics, Computer Science, Engineering, or similar).
• Strong with SQL (data modeling, ad hoc querying, query performance).
• Experience working with analytical tools such as Alteryx, dbt, or Microsoft Excel.

Responsibilities

• Work closely with consulting and solutions project leaders to support project-level data analysis needs.
• Execute ETL processes on various customer data sets.
• Perform both standardized and ad hoc reporting and analysis as required.
• Produce data visualizations using software such as Tableau and Microsoft Excel to clearly convey important data insights.
• Consistently refine and improve the tools and processes utilized by yourself and others on the data team

Skills

Data analytics

Data engineering

SQL

Tableau

Python

R

Tools

Alteryx

dbt

Microsoft Excel

Databricks

Tableau

Job description

KPI Solutions is seeking a Data Engineer to support consulting engagements and pre-sales data integration work. You will apply applied data analytics and data engineering to transform raw data into actionable insights.

Responsibilities include ETL, ad hoc reporting, and creating visualizations with Tableau and Excel. The role emphasizes collaboration with project leaders and continual improvement of data tools and processes.