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Information Technology 🏢 Full Time ⭐️ Verified

Entry-Level Data Analyst - No Experience Required - Cincinnati, OH

Cincinnati Data Innovations
Cincinnati
Estimated Salary
USD 50.000 – USD 70.000
New
Live Update
6 September 2026
Deadline
6 Sep 2027

Job Description

We are seeking a motivated Entry-Level Data Analyst to join our dynamic team in Cincinnati. While prior professional experience is not required, we are looking for individuals with a strong aptitude for numbers and a passion for uncovering insights. We offer comprehensive training and mentorship to help you grow your career in the fast-paced world of data analytics.

In this role, you will play a crucial part in helping our organization make data-driven decisions. You will work closely with our senior analysts to ensure data accuracy, generate insightful reports, and support key business initiatives. If you are a quick learner with a keen eye for detail, we want to hear from you.

Responsibilities

  • Assist in Data Collection: Gather and compile data from various sources, ensuring accuracy and completeness for analysis.
  • Data Cleaning & Preparation: Process raw data to remove errors and inconsistencies, preparing it for advanced analysis.
  • Create Visualizations: Build clear and compelling charts, graphs, and dashboards using tools like Excel, SQL, and Tableau.
  • Generate Reports: Produce regular performance reports and summaries for stakeholders to track business KPIs.
  • Support Senior Analysts: Collaborate with the team to conduct research, identify trends, and solve complex data problems.
  • Document Processes: Maintain detailed records of data sources and analysis methodologies for future reference.

Qualifications

  • Education: High school diploma or GED required; Bachelor's degree in Business, Finance, or Information Systems is a plus but not mandatory.
  • Technical Skills: Basic proficiency in Microsoft Excel (Pivot Tables, VLOOKUP, Charts) is required.
  • Analytical Mindset: Strong logical thinking and the ability to break down complex problems into manageable parts.
  • Attention to Detail: Meticulous approach to work with a high degree of accuracy in data handling.
  • Communication: Excellent written and verbal communication skills to present findings to non-technical audiences.
  • Willingness to Learn: Eagerness to acquire new technical skills in SQL, Python, or data visualization tools.

Required Skills

Excel SQL Tableau Data Analysis Data Cleaning Report Generation Critical Thinking

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