< div > < >强工作总结:< /强> < br > < br >你喜欢看数据和问的大问题?,它激发你创造可行的见解和策略基于数据?,你有激情,展示使用数据的重要性吗?< br > < br > < / div > < div >如果你回答<强>是< /强>这些问题,那么Coppin州立大学的信息技术部门可能有一个完美的位置为您2022卡塔尔世界杯晋级球队服务!< br > < br > < / div > < div >我们正在寻求一个人的位置<强>分析策略师< /强>只Coppin有着丰富的分析工具只我们需要一个有激情的人合成意义和可操作的信息从不同的来源分析和开发创新的建议和策略,结合大学的使命和核心价值观。这个人也会讲故事的人并使用创造性成果的分析说服股东一个特定的行动方针。我们想要一个人将是一个激烈的校园又是提倡使用分析;最后,这个人将帮助建立政策和程序对校园的分析。< br > < br > < / div > < div > <强>基本职责:< br >, < br > < /强>这不是一个高度技术性的位置; this position doesn’t require building dashboards, writing SQL queries, upgrading systems, managing data warehouses, or things of the like (although those skills are a plus!). Instead, the Analytics Strategist will:
Gain understanding of the university’s objectives and challenges. Using Coppin’s analytic dashboards, tools, and reports (i.e., enrollment and retention analytics; learning analytics; website analytics; etc.), identify patterns, make discernments, recommendations, and innovative solutions that align with the identified objectives and challenges. In this instance, you will:
- Simultaneously participate in multiple analytics projects that are often at varying stages of maturity;
- Perform ad hoc analytics for time sensitive requests; and
- Report key findings to identified stakeholders.
Build Coppin’s capacity to develop insights and drive decisions with analytics by:
- Facilitating regular training to diverse campus stakeholders on various campus analytic tools;
- Providing resources to strengthen stakeholders’ abilities to discern data patterns;
- Identifying new kinds, types, and sources of data to drive innovation throughout the university; and
- Advocating for new ways to use analytics.
Identify and communicate the benefits and value of data to campus stakeholders by:
- Being a champion for a data-driven, decision-making culture;
- Showcasing analytics tools to campus stakeholders;
- Sharing relevant insights to identified audiences; and
- Finding unique ways to explain complex data information to the campus community.
Assist in managing the ethical implications of data and analytics through data stewardship measures, including, but not limited to:
- Developing and maintaining controls on data quality;
- Organizing and leading an analytics governance council; and
- Defining processes for the effective, integrated introduction of new data.