Data Analyst: Flexible Work & Insight-Driven Dashboards

Sterling National Solutions; Cincinnati (OH); On-site; USD 70,000 - 100,000; Full time

Benefits offered by this job

Health insurance

Retirement plans

Professional development

Flexible work arrangements

Wellness programs

Training resources

Job summary

Sterling National Solutions in Cincinnati, OH seeks a Data Analyst to transform complex data into actionable insights and support business growth. You will clean, process, and visualize data, and create reports and dashboards to inform decision-making.

The role involves collaborating with stakeholders, developing data models, and mentoring junior team members. A bachelor's degree in a related field and proficiency in SQL, Python, Tableau or Power BI are required.

Qualifications

• Bachelor's degree in data analysis, statistics, or related field.
• Proven experience as a Data Analyst or similar role.
• Strong proficiency in data analysis tools and technologies.
• Excellent communication and presentation skills.
• A passion for data and a commitment to continuous learning.
• The ability to work in a fast-paced, collaborative environment.

Responsibilities

• Leverage analytical skills to transform complex data into actionable insights.
• Develop and maintain data models to support business operations.
• Create visualizations and dashboards to communicate findings effectively.
• Collaborate with cross-functional teams to identify data needs and opportunities.
• Stay up-to-date with industry trends and emerging technologies in data analysis.
• Mentor and support junior team members in their data journey.

Skills

SQL

Python

Data visualization

Education

Bachelor's degree in data analysis or related field

Tools

Tableau

Power BI

Job description

Sterling National Solutions in Cincinnati, OH seeks a Data Analyst to transform complex data into actionable insights and support business growth. You will clean, process, and visualize data, and create reports and dashboards to inform decision-making.

The role involves collaborating with stakeholders, developing data models, and mentoring junior team members. A bachelor's degree in a related field and proficiency in SQL, Python, Tableau or Power BI are required.