Qureos Mentor

Council for the Advancement and Support of Education

CASE is a global not-for-profit and membership association whose vision is to advance education to transform lives and society. Our mission is to inspire, challenge and equip communities of professionals to act effectively and with integrity to champion the success of their institutions. CASE serves over 90,000 advancement practitioners at nearly 3,000 member institutions, advancing education in 72 countries, with support from more than 4,000 volunteers.
 
Broad and growing communities of professional practice gather under the global CASE umbrella. Currently these include advancement services, alumni relations, communications, fundraising, government relations, institutional leadership and marketing. Individual members are at all stages of their career and may be working in universities, schools, colleges, cultural organizations or other not-for-profits. CASE membership also includes many corporate partners. CASE uses the intellectual capital and professional talents of an army of volunteers to advance its work.
 
Headquartered in Washington, DC, CASE works across all continents from its regional offices in London, Singapore and Mexico City. CASE works to achieve a seamless experience for all its stakeholders: particularly its members, volunteers and staff. Working together across time zones and borders, CASE staff in all offices seek to make the ambitious OneCASE aspiration a reality.
 
Title: Data Science Analyst
 Division: Data, Research & Technology
 Department: Research
 Status: Full-time, Exempt, must be authorized to work in US, no sponsorship
 Total Direct Reports: none
 Location: Washington DC only local candidates will be considered
 
Compensation: $80,000 to $100,000 depending on experience. Full-time, exempt level employee are eligible for various benefits including vacation and sick leave, paid holidays, health insurance, dental insurance, life insurance, long-term and short-term disability insurance, flexible spending plans, employee assistance plan, legal resources plans, tuition reimbursement, and participation in CASE’s retirement plan. CASE is eligible for the Public Service Loan Forgiveness (PSLF) program.
 
POSITION PURPOSE
 
The Data Science Analyst will support the Director of Data Science in providing complex analyses and critical reports foundational to strategic, revenue-generating data and research services. This role involves assisting in data collection, management, reporting systems, and developing software to support data cleaning, analysis, visualization, and reporting. The Data Science Analyst will also collaborate with colleagues to enhance data management, task automation, and support data-driven decision-making.
 
ESSENTIAL FUNCTIONS
 
Data Analysis and Visualization: 
<ul>
<li>Assist in conducting data analysis and developing visualizations for reports and presentations.</li>
<li>Support the design and automation of data reports, benchmarking tools, and other data resources.</li>
</ul>
Collaboration and Support: 
<ul>
<li>Work with the Director of Data Science and other team members on data management systems, processes, and platforms.</li>
<li>Provide support in maintaining and enhancing product roadmaps for complimentary and revenue-generating products and services.</li>
</ul>
Training and Development: 
<ul>
<li>Assist in delivering presentations and conducting trainings for members.</li>
<li>Develop training resources and contribute to thought leadership content.</li>
</ul>
Technical Expertise: 
<ul>
<li>Serve as a technical support resource, providing guidance on data science, analytics, reporting, and benchmarking tools.</li>
</ul>
Project/Activity Management
 
Fiscal Management/Budget Responsibilities/Judicious Use of Resources
 <ul>
<li>Contribute to budgeted services sales revenue by supporting the development of revenue-generating products.</li>
<li>Manage expenses relative to budget and exercise fiscal responsibility.</li>
</ul>
Liaison Responsibilities
 <ul>
<li>Work cooperatively and supportively with volunteers and senior staff.</li>
<li>Collaborate with colleagues to analyze existing data, seek opportunities for new data acquisition, and develop insights and reports</li>
</ul>
Image Responsibilities
 
<ul>
<li>High degree of professionalism, accuracy, and ethics, in all activities, services, and products.</li>
</ul>
Performs other duties and responsibilities as assigned by the Supervisor.
 
JOB COMPLEXITY AND KNOWLEDGE: 
<ul>
<li>Work with a high level of autonomy and independence, discretion, confidentiality, and diplomacy.</li>
<li>Interact with staff and stakeholders globally, managing time and prioritization of tasks effectively.</li>
</ul>
PROBLEM SOLVING AND JUDGEMENT: 
<ul>
<li>Utilize high-level judgement and problem-solving skills to conduct new analyses and program reports.</li>
<li>Maintain professionalism and integrity in all tasks.</li>
</ul>
Professional and Organizational Knowledge
 
<ul>
<li>The position requires that the incumbent quickly develop a deep understanding of CASE, its policies and procedures and an understanding of the culture and regional and divisional interdependencies.</li>
<li>The position requires a deep understanding and respect for the organization’s systems and workflow.</li>
</ul>
POSITION REQUIREMENTS
 
Education and Experience: 
<ul>
<li>Bachelor’s degree in statistics, data science, computer science, information technology, economics, business administration, or related discipline.</li>
<li>One to three years’ experience with data science techniques and processes.</li>
<li>Experience in research or data analyst roles, including development of data analytics and visualizations.</li>
</ul>
Skills and Abilities: 
<ul>
<li>Strong critical thinking and problem-solving skills.</li>
<li>Proficiency in coding languages and tools such as Python, R, Excel, SQL, SPSS, PowerBI, SAS, Tableau, OracleBI, IBM Cognos, Google Analytics.</li>
<li>Proficiency in Microsoft Office (Word, PowerPoint).</li>
<li>Strong communication skills to convey technical concepts to non-specialist audiences.</li>
<li>Commitment to inclusive excellence.</li>
<li>Project management, accountability, time management, and continuous improvement skills.</li>
<li>Ability to work independently and as a team player in a rapid-response business environment.</li>
</ul>
CASE is a global not-for-profit and membership association whose vision is to advance education to transform lives and society. Its mission is to inspire, challenge and equip communities of professionals to act effectively and with integrity to champion the success of their institutions. Advancing education in over 3,000 member institutions, CASE has 80,000 members in 80 countries.
 
Broad and growing communities of professional practice gather under the global CASE umbrella. Currently these include alumni relations, development services, digital, communications, fundraising, government relations, marketing and web. Individual members are at all stages of their career and may be working in universities, schools, colleges, cultural organizations or other not-for-profits. CASE membership also includes many corporate partners. CASE uses the intellectual capital and professional talents of an army of volunteers to advance its work.
 
Headquartered in Washington, DC, CASE works across all continents from its regional offices in London, Singapore and Mexico City. CASE works to achieve a seamless experience for all its stakeholders: particularly its members, volunteers and staff. Working together across time zones and borders, CASE staff in all offices seek to make the ambitious OneCASE aspiration a reality.
 
Alternative Work Arrangement: As of January 1, 2022, CASE implemented an Alternative Work Arrangement policy where, after 4 weeks of employment, eligible staff are given the opportunity to work from home up to 2 days per week and in office 3 days per week.
 
Management reserves the right to review and revise this document at any time. This document represents a description of intended job content, and should not be construed in any way to be a contract of employment.
 
Alternative Work Arrangement: After 4 weeks of employment, eligible staff are given the opportunity to work from home up to 2 days per week and in-office 3 days per week.
 
Management reserves the right to review and revise this document at any time. This document represents a description of intended job content, and should not be construed in any way to be a contract of employment.
 
Thank you for your interest. Only the selected candidates will be contacted for an interview.

Data Science Analyst

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Data Science Analyst