Media Data Analyst

Arsenault; Dallas (TX); Hybrid; USD 80,000 - 100,000; Full time

Job summary

A leading analytics firm is seeking a Data Analyst located in Dallas, Texas, offering a hybrid work model. The candidate will analyze and visualize marketing and supply chain data, ensuring data quality and creating effective reports using tools like Tableau and Python. This role requires strong communication skills and teamwork with various stakeholders and will focus on enhancing marketing analytics through data insights. Ideal candidates should have extensive experience in data analytics and visualization.

Qualifications

• 5+ years of experience in data analytics.
• Strong experience with Python for data structures.
• Proficiency in Excel along with experience using Jira.

Responsibilities

• Creating data visualizations to present analytics.
• Analyzing data quality and accuracy.
• Performing data modeling and cleansing.

Skills

Data analytics

Python

Tableau

Jira

Excel

Job description

Location:

Hybrid (3 days per week onsite in Houston, TX)

Must-haves

• 5+ years of experience in data analytics
• Strong recent experience with Python to create and manage data structures
• Strong recent experience creating data visualizations with Tableau
• Experience using Jira to create reports and proficiency in Excel

Plusses

• Experience with Marketing data
• Experience in the entertainment, media, or production industry
• ETL experience

Day-to-Day

A client is looking for a Data Analyst to sit hybrid remote, with some days onsite in Houston, TX. This person will be part of a team who is building out a new analytics function for marketing and supply chain data, as well as streaming data. Their goal will be to verify the quality and accuracy of the data, to analyze how various data points communicate and connect, and to create effective visualizations to present data to the business in order for them to assess analytics solutions to improve marketing and spend. This person will be performing data modeling, data visualization, and data cleansing, as well as creating digital wireframes to see how data points fit together. They will be working cross functionally with stakeholders across the business, as well as developers, project managers, and business analysts, and need to have strong communication skills in order to be successful in the role.