Data Visualization Analyst

Griffin Media•Oklahoma City, OK

2d•Hybrid

About The Position

The Data Visualization Analyst transforms complex data sets into compelling visual narratives that inform strategic business decisions and help enhance audience engagement. The role works with cross-functional teams, including marketing, sales, and content production, to understand their data needs and provide actionable insights. It also supports Griffin Media’s Ideal Team Player culture. This is a full-time position primarily working 40 hours per week. The employee may occasionally work other hours or days to cover vacations, illnesses, or special projects and events. Remote work may be permitted occasionally at the supervisor’s discretion. The role is based at the OKC Griffin Media Center in Oklahoma City, Oklahoma, and includes driving an automobile for company business. Other job-related duties may be assigned, and responsibilities may change.

Requirements

Bachelor’s degree in Data Science or Analytics, Statistics, Mathematics, Marketing, Journalism, Communications, Computer Science, MSIS, Economics, or another field providing training in data preparation, numeracy, business acumen, and communication.
Understanding of basic statistics and a high level of overall numeracy.
Ability to present complex information graphically and verbally.
Basic programming skills or the ability to learn; ability to manage software updates; comfort combining large data sets from disparate sources; working knowledge of Windows OS and Microsoft Office; and ability to learn new systems and tools.
Proficiency in data visualization tools such as Tableau or Power BI, data analysis software such as SQL, Python, or R, and Excel.
Strong analytical and problem-solving abilities, including interpreting complex data and translating it into actionable insights.
Working proficiency with AI tools such as ChatGPT, Claude, or Copilot and ability to apply them to analytical and technical tasks.
Excellent written and verbal communication skills, including presenting data clearly to non-technical audiences.
High accuracy and attention to detail.
Ability to work effectively in a team and collaborate across functions, as well as work well with, direct, and gain the cooperation of others.
Ability to maintain confidentiality of company performance data, personnel matters, company strategies, and other confidential information.
Strong organizational and interpersonal skills.
Must have or be able to obtain a valid Oklahoma driver’s license and have a driving record acceptable to the company.
Able to meet the physical and mental requirements of the job, including communicating verbally in English; reading computer monitor information; hearing detailed spoken word; remaining sedentary and traveling to the work location; performing manual dexterity tasks with hands and fingers; analyzing data, concentrating, reasoning, and writing; performing under emotional stress; and lifting 10 pounds unaided.
Humble, team-first attitude and ability to give and receive constructive criticism.
Strong work ethic, drive, and willingness to take initiative.
Interpersonal awareness in interactions and relationships.
Positive attitude focused on opportunities.
Sense of urgency in responding and taking action.

Nice To Haves

Two to three years of related experience preferred.
Experience with data warehousing and ETL processes is a plus.

Responsibilities

Analyze data from sources such as TV ratings, radio listenership, and digital engagement to identify trends, patterns, and insights.
Create clear, visually appealing dashboards, reports, and presentations using Tableau, Power BI, or similar tools.
Work with marketing, sales, and content teams to understand data needs and translate them into actionable insights.
Present findings and recommendations to stakeholders at all levels of the organization.
Promote data integrity and accuracy through sound practices for data collection, storage, and processing.
Collaborate with IT and data engineering teams to maintain and improve data infrastructure.
Conduct market research and competitive analysis to support strategic planning and decision-making.
Use data to understand market trends, audience behavior, and competitive positioning.
Respond to ad hoc data and analysis requests from departments with timely and accurate insights.
Identify opportunities to apply AI across analytics workflows, including pipeline development, data cleaning, insight generation, and visualization, and help establish practical, responsible practices for its use.
Administer the Tableau server environment, including version upgrades, user provisioning, and usability optimization.
Perform additional ad hoc data analysis and other job-related duties as assigned, including driving an automobile for company business.