Reporting & Analytics 

• Performs large-scale experimentation and builds data-driven models to answer business questions from structured and unstructured data sets 

• Proactively mines internal and external data sources to identify trends, patterns, and generate insights into business units and senior leadership 

• Performs experimentation to identify hidden relationships between variables in datasets 

• Research and implement cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence to make data analysis more efficient 

• Apply statistical analysis, machine learning, and visualization techniques to various data. 

• Supporting the product team with analytics throughout the development process, from high-level product roadmap prioritization to post-launch review 

• Overall, provide a detail-oriented, impact-oriented, customer-centric approach to data analysis 

Discovery & Insights  

• Design and conduct data analysis on ISACA’s products and relevant markets, providing deeper insights and enabling the organization to refine budgets, forecasts, and segmentation. 

• Dive deep into data and provide insights and recommendations to drive product innovation, define product goals, and ensure product goals and forecasts can be met or exceeded.  

• Research and report on competitors and market trends to benchmark ISACA’s current and potential offerings and inform go-to-market strategies 

• Translate business needs into analytics/reporting requirements to support strategic decisions and team workflows with required information 

Stakeholder Management 

• Create a roadmap for data analysis projects, working with stakeholders to determine and establish priorities to balance ongoing projects with ad hoc requests. 

• Facilitate communication across teams and stakeholders throughout all phases of data analysis, from ideation to measurement to reporting. 

• Contribute to an effective work environment by setting a positive tone, establishing performance expectations, and driving accountability.  

Required Field of Study: 

• Bachelor’s degree in Business, Computer Science, Data Science, Information Science, or equivalent work experience 

Minimum Years of Experience Required:  

• 3+ years of data science, analytics, or product analytics experience. 

Description of Minimum Experience Required: 

• Demonstrated ability to conduct and interpret quant. Analysis 

• Proficiency in visualization tools like Power BI and Tableau 

• Experience with programming languages and/or statistical analysis tools such as Python, C++, JavaScript, R, SAS, Excel, SQL, MATLAB, SPSS 

• Knowledge of statistical and data mining techniques such as descriptive and inferential statistics, feature engineering, generalized linear modeling, regression, text mining, hierarchical clustering, supervised and unsupervised learning, etc. 

• Ability to express complex information and communicate the ‘data story’ in simple, digestible ways 

• Excellent written and oral communication skills  

Preferred Field of Study: 

• Bachelor’s degree in Business, Computer Science, Data Science, Information Science, or equivalent work experience 

Preferred Years of Experience: 

• 5+ years of data science, analytics, or product analytics experience. 

Description of Preferred Experience:  

• Fluency in multiple programming languages and statistical analysis tools such as Python, C++, JavaScript, R, SAS, Excel, SQL, MATLAB, SPSS 

• Fluency in multiple statistical and data mining techniques such as descriptive and inferential statistics, feature engineering, generalized linear modeling, regression, text mining, hierarchical clustering, supervised and unsupervised learning, etc. 

• Strong understanding of AI, its potential roles in solving business problems, and the future trajectory of AI capabilities