Transform complex data into powerful, predictive insights that redefine analytics and break through conventional limitations. The role will be integral in allowing the Analytics Team to continue growing within the company as a driver of business strategy that delivers financial, operational, and analytical success.
Requirements
- At least four (4) years’ experience of hands-on modeling related to predictive and/or statistical analysis.
- Strong experience in statistical modeling, predictive analytics, business intelligence, provisioning data through a variety of analytical tools, resources and BI platforms required.
- Derive actionable insights from structured and unstructured data via various potential BI tools, such as Power BI, SQL, and other platforms as needed.
- Thoroughly analyze, test, and validate data to ensure models run efficiently and are free from data errors and inconsistencies.
- Experience related to NetSuite is preferred but not required.
- Strong knowledge and/or experience related to business, analytics or related function required.
- Computer proficiencies to include Word, Outlook, and PowerPoint with a solid working knowledge in Excel.
Responsibilities
- Decrease time from information to action through predictive and statistical models and insights.
- Automate reports through BI platforms that allow for continuous review for end users.
- View data through a technical and analytical lens, generating deeper understanding & purpose.
- Support data needs for all levels of organization with a focus on strategic business initiatives.
- Identify trends and opportunities with predictive analytics and statistical models that align with strategic goals.
- Create automated, standardized reports and visuals from team member requests, turning complex, technical details into easily consumed insights.
- Design models to capture predictive signals that aid in solving business problems, marrying expertise from team members with predictive intelligence.
Other
- Bachelor’s degree in computer science, business, statistics, mathematics or related technical and/or quantitative field from an accredited college/university.
- Assist in improving data literacy and trust throughout the organization through quarterly education sessions.
- Act as a forward-thinking surveyor, identifying gaps and opportunities that lie below surface level analysis.
- Build trust through literacy initiatives and clear communication, empowering teams to act with confidence and unlock new possibilities with our data.
- History of leading and/or being involved in successful projects
