Hybrid Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Hybrid Data Analyst in Orlando, FL, offering a 12-month contract at a competitive pay rate. Requires 3-5 years of data analytics experience, proficiency in Power BI, Excel, and project management tools, plus advanced SQL and Python skills.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
-
πŸ—“οΈ - Date discovered
August 14, 2025
πŸ•’ - Project duration
More than 6 months
-
🏝️ - Location type
Hybrid
-
πŸ“„ - Contract type
W2 Contractor
-
πŸ”’ - Security clearance
Unknown
-
πŸ“ - Location detailed
Orlando, FL
-
🧠 - Skills detailed
#Project Management #Statistics #Visualization #Python #Complex Queries #Libraries #SQL (Structured Query Language) #Computer Science #Pandas #Databases #NumPy #Data Analysis #Data Science #Automation #Microsoft Power BI #BI (Business Intelligence)
Role description
Job Description ektello is partnering with an entertainment leader in Orlando to find a talented Marketing Data Analyst with strong technical experience. This is a 12-month, hybrid, W2 contract; this team is onsite Tuesday-Thursday. We include PTO and paid holidays and offer medical and 401k benefit options. Data Analyst, hybrid, Orlando, FL Qualifications β€’ Minimum 3–5 years of experience in data analytics, business analytics, marketing operations and/or creative operations. β€’ Sufficient experience with Power BI and strong data visualization skills. β€’ Experience with Workfront or Epicflow (or similar project/resource management tools). β€’ Advanced skills in Excel, PowerPoint and Word are required. β€’ Thorough understanding of creative team operations and project management. Preferred Qualifications: β€’ Experience in a creative agency or in-house brand/marketing team. β€’ Understanding of creative and production workflows and timelines. β€’ Bachelor’s or master’s degree in data science, statistics, computer science, marketing or a related field. β€’ Advanced Power Query, SQL, or Python skills: able to write and optimize complex queries to manipulate and retrieve data from relational databases. β€’ Experience with Python for data analysis or automation, libraries (e.g., pandas, NumPy) to clean, analyze, or augment data, and script repetitive tasks to streamline workflows.