Data Analyst (Part-Time)

DLN CONSULTANTS, LLC
Miami, FL, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Experience level
Starter
Experience required
1 year minimum
Working hours
Regular working hours

Tech stack

Microsoft Excel Data Analysis Software Documentation Data Visualization Power BI SQL Databases Tableau (Software)

Job description

The Part-Time Data Analyst will collect, organize, and interpret data to support client engagements and internal business operations. This is an excellent opportunity for someone looking to contribute meaningfully on a flexible schedule within a professional consulting environment., * Collect and clean data from multiple sources for analysis

  • Build and maintain reports, dashboards, and data visualizations
  • Identify trends, patterns, and anomalies in datasets
  • Support client-facing projects with data findings and summaries
  • Translate complex data into clear, actionable insights for non-technical stakeholders
  • Maintain data integrity and documentation standards
  • Collaborate with consultants and project leads on deliverables

Requirements

Data Analysis, Consulting, Strategic Analysis, Professional Services, Business Solutions, Data Analysis, Business Operations, Customer Support/Service, Data Collection, Customer/Client Research, * Bachelor’s degree in Data Science, Statistics, Business, or related field

  • 1-2 years of experience in data analysis or a related role
  • Proficiency in Microsoft Excel; experience with SQL, Power BI, or Tableau a plus
  • Strong attention to detail and analytical thinking
  • Ability to work independently and manage time effectively
  • Clear written and verbal communication skills

About the company

DLN Consulting Group is a professional services firm delivering strategic business solutions across multiple industries. We leverage data-driven insights to help our clients make smarter decisions and achieve measurable results. We are seeking a part-time Data Analyst to support our growing analytics practice.

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