Technical Communications and Data Analyst at Humana
Louisville, KY (Preferred) — full-time
We are seeking a Technical Communications & Data Analyst to support operational processes, data management, and internal communications. This role is ideal for a highly organized and adaptable professional who can work across disciplines; combining technical writing, data analysis, and process improvement. The ideal candidate brings strong communication skills, analytical thinking, and an interest in using AI tools and automation to improve efficiency and team performance. The Technical Communications and Data Analyst blends the skills of a data analyst with those of a technical communications professional, ensuring that data is not only accurate and insightful but also effectively communicated to stakeholders. Location: Louisville, KY (Preferred) Other Locations: Chicago, IL; Dallas, TX; Nashville, TN; New York, NY; Tampa, FL; Washington, DC Work Type: Primarily Remote (Hybrid as needed) You must be authorized to work in the US without Humana sponsorship as Humana will not provide work visa sponsorship at any point in time for this position. Key Responsibilities Data Analysis & Insights Has ownership, maintenance, and collection responsibility for data assets in the functional production support process Collect, clean, and analyze data from multiple sources using tools like SQL, Excel, Python, or Tableau Identify patterns, trends, and correlations to support descriptive, diagnostic, predictive, and prescriptive analytics Technical Communications Assist with creation of branding, communication, and training materials Translate complex data findings into clear, concise, communications for diverse audiences Develop and maintain digital asset libraries (e.g., multimedia content, documents) for easy retrieval and reuse Skills & Qualifications Analytical Skills: Proficiency in data analysis tools (SQL, Excel, Python, Tableau), statistical methods, and visualization software. Technical Skills: Demonstrated familiarity with AI concepts and how they are applied in an organization, such as but not limited to: Programming (Python mainly) NumPy, Pandas, SciPy Clean code, debugging, version control (Git) Machine Learning Basics Supervised & unsupervised learning Regression, classification, clustering Model evaluation (accuracy, precision, recall, etc.) Data Handling & Preprocessing Data cleaning, transformation Feature engineering Working with structured + unstructured data Familiarity with Technology Business Management (TBM), Apptio, or IT Finance helpful, but not required Communication Skills: Strong written, verbal, and visual communication, ability to explain technical concepts to non-technical audiences. Ability to story tell: to write and speak clearly to inform diverse audiences. Experience with SharePoint and PowerPoint Proficiency in Microsoft Excel (data organization, formulas, basic analysis) Highly organized with strong attention to detail Organizational Skills: Ability to manage multiple projects, maintain accurate record