Job Summary Looking to influence strategic decisions and drive company performance? In this role, you’ll transform raw information into actionable recommendations that drive measurable results. With your expertise in developing innovative analysis methods and leveraging existing data sources, you play a pivotal part in guiding Spectrum’s success through meaningful analytics. This position is in an office environment with a hybrid work schedule. Eligible employees can work from home up to one day each week. Responsibilities How You’ll Make an Impact Collaborate with client teams to define precise business requirements for data analysis projects Design metrics, create data visualizations and establish ETL requirements to support strategic objectives Extract, clean and engineer data to prepare for thorough analysis Interpret complex datasets, develop hypotheses and craft analytical approaches to address business needs Utilize advanced visualization tools to deliver customer-readable reports using platforms such as Tableau, PowerBI and Excel Acquire and integrate new reference data sources to meet evolving business requirements Develop and Implement integrations with internal and external systems using REST APIS, Event based systems, and other internal and external systems. Communicate findings and recommendations through compelling presentations and data visualizations Develop impactful analyses and dashboards that are recognized as industry leading Foster strong partnerships with cross functional groups to enhance collaborative outcomes Qualifications What You’ll Bring to Spectrum Required Qualifications Education Bachelor’s degree in Statistics, Finance, Data Science, Computer Science, Engineering or related field or equivalent experience Experience 5+ years of experience within a data platform or data analysis environment 5+ years of experience in a customer-facing products or services environment Skills Proficient at analyzing, interpreting and presenting data Skilled at decision making and problem solving under pressure Effective at prioritizing and organizing tasks Advanced knowledge of analytics processes and reporting design principles Proficient in SQL, Python, and .NET. Skilled in design and implementation of business integrations and with data visualization tools Strong verbal and written communication skills for internal and external customers
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