Data Scientist

September 15

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OS-Cubed, Inc.

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.NET development • Microsoft Certified • technical support • dotNetNuke experts • SQL Server experts

2 - 10

Description

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. • Assess the effectiveness and accuracy of new data sources and data gathering techniques. • Develop custom data models and algorithms to apply to data sets. • Build and maintain dashboards and reports to monitor metrics and KPIs in support of operational departments as well as provide insights to leadership. • Work with internal sales managers to set and monitor production goals for various territories and sales reps. • Regularly meet with members of the management team to refine measurable KPIs, report needs and structures. • Work with carrier partners to provide data and reporting on in house administered programs. • Develop and maintain dashboards, visualizations and other forms of ad-hoc reporting necessary to support truly data-driven business strategies. • Troubleshoot, diagnose and fix issues within existing tools. • Support data analytics pipeline. (Data capture, data lake construction, data visualization and overall business analysis) • Validate data to guarantee quality, compliance and a positive experience for end users. • Identify process inefficiencies, implement solutions, and track progress against end goal. • Provide analyses on sales funnel to find bottlenecks in process and increase funnel velocity. • Work with Finance team on annual setting of targets, quotas, etc. and maintaining them throughout the year. • Maintain weekly sales forecast. • Build and maintain phone and email campaigns to support sales and marketing functions within the organization.

Requirements

• 3-5 years of relevant experience & passion for continuous learning and improvement. • Microsoft Sql Server experience including writing queries and creating views • Experience creating reports and dashboards in Power BI and administrating Power BI System • Expert level Microsoft Excel skills • Ability to analyze large datasets and make sense of them in order to find operational improvements and scale • Experience designing and developing visualizations in QLik, Tableau, Power BI, Looker, or similar data visualization software • A deep understanding of data structures and relational database processes