Sr. Data Analyst

Business Segment Versant Revenue & Digital Company Description VERSANT (Nasdaq: VSNT) is an industry‑changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant’s sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass. Job Description This Senior Data Analyst role sits within the AI, Modeling, and Strategy team (AIMS), part of the broader Data Product and Technology team. The position is responsible for supporting the ongoing operations, enhancement, and maintenance of data products. In this role, the senior data analyst will contribute to expanding the organization’s analytical and AI capabilities within a fast‑paced, innovative environment, playing a key part in developing scalable data products that deliver measurable value to both internal stakeholders and external business partners. Responsibilities Design, develop, and implement advanced algorithms and automated analytical pipelines, including clustering (e.g k‑means, hierarchical clustering, DBSCAN, HDBSCAN), supervised learning (e.g. linear and logistic regression, decision trees, random forests, gradient boosting, XGBoost), time‑series forecasting (e.g. ARIMA, Prophet, LSTM), optimization techniques, and probabilistic models to analyze large, complex, and unstructured datasets. Develop, refine, validate and deploy scalable advanced analytical and statistical models to generate actionable insights for key stakeholders. Partner closely with finance, product, pricing, marketing, and data services teams to translate business questions into analytical solutions, productionize models using MLOps best practices, and support the ongoing monitoring, maintenance, and optimization of data products and models. Cleanse, integrate, and validate data from multiple internal and external sources, applying data quality controls, feature engineering techniques, and scalable transformation processes to ensure accuracy, reliability, and analytical readiness. Evaluate and monitor model performance using appropriate metrics, diagnose anomalies and model drift, conduct A/B testing and experimentation, and define, monitor, and optimize KPIs supporting revenue, pricing, and growth initiatives. Leverage modern AI and Generative AI technologies, including large language models (LLMs) and AI‑assisted analytics tools, to improve analytical workflows, automate insight generation, and enhance decision‑support capabilities. Interpret and clearly communicate analytical findings, model assumptions, and business implications to senior leadership, cross‑functional teams, and external clients through concise presentations, visualizations, and technical documentation. Qualifications Bachelor’s degree is required in Business Analytics, Computer Information Systems, Industrial Engineering, Statistics, Mathematics, Economics, Data Science, or a related field. 1+ years of experience in data analytics, business intelligence, data science, or a related analytical role. Advanced skills in SQL, Python and/or R. Familiarity with visualization tools such as Tableau, Looker, etc. Familiarity with using GitHub for version control, collaborative development, code reviews, CI/CD workflows, and management of analytics and machine learning codebases. Desired Characteristics Experience in pricing and/or marketing analytics is preferred. Familiarity with Media, News and/or Entertainment content is preferred. Prior internship or work experience is preferred. Strong intellectual curiosity paired with excellent problem‑solving and quantitative skills, including the ability to decompose complex problems, identify root causes, and recommend effective solutions. Additional Requirements Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week. Must be willing to work in the Orlando, FL office. Travel may be required for this position for company or department meetings. This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Equal Opportunity and Inclusion VERSANT Media’s policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to View email address on click.appcast.io. #J-18808-Ljbffr