Harvard University Assoc Dir, Biz Analytics, ER in Cambridge, Massachusetts
64381BRAuto req ID:64381BRJob Code:I0858P IT Business Analysis Prfss IV Department Office Location:USA - MA - Boston Business Title:Associate Director, Business Analytics, External RelationsSub-Unit:------------ Salary Grade (https://hr.harvard.edu/salary-ranges#ranges) :058Time Status:Full-time Union:00 - Non Union, Exempt or Temporary Additional Qualifications and Skills:Other Required Qualifications:
BA/BS with at least 3 years in an analytics role or Master's degree in Analytics or Data Science is required.
Strong proficiency in statistical analysis, predictive modeling, and data mining techniques.
Other Preferred Qualifications:
Proficiency in programming languages such as Python or R for data manipulation and analysis.
Experience with machine learning algorithms and frameworks.
Excellent problem-solving and analytical skills, with a keen attention to detail.
Strong communication and data visualization skills, with the ability to present complex findings in a clear and concise manner.
Provides overall subject matter expertise in business operations and related system support/development.
Maintains technical documentation of processes and procedures.
Experience with SQL and relational databases.
Familiarity with data visualization tools, such as Tableau or Power BI.
Knowledge of business operations, processes, and key performance indicators.
Ability to work collaboratively in cross-functional teams and manage multiple projects simultaneously.
Additional Information:This role is offered as a hybrid (some combination of onsite and remote) where you will be required to be onsite at our Boston, MA based campus 2 days per week. Specific days and schedule will be determined between you and your manager.
We may conduct candidate interviews virtually (phone and/or via Zoom) and/or in-person for this role.
A cover letter is required to be considered for this opportunity.
Harvard Business School will not offer visa sponsorship for this opportunity.
Culture of Inclusion: The work and well-being of HBS is profoundly strengthened by the diversity of our network and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. Explore more about HBS work culture here https://www.hbs.edu/employment.Department:External RelationsPre-Employment Screening:Education, IdentityJob Function:Information Technology School/Unit:Harvard Business School EEO Statement:We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.Basic Qualifications:
- Minimum of five years’ post-secondary education or relevant work experience
Data Analysis and Modeling: Analyze large and complex datasets to identify patterns, trends, and correlations. Apply statistical techniques, data mining algorithms, and predictive modeling to extract meaningful insights to support External Relations (ER) staff in data-driven decision making and reviews performance measures for short- and long-term fundraising strategies.
Business Intelligence: Develop custom descriptive and predictive scoring models that will allow enhanced priority specific identification and segmentation of the alumni, donor, and prospect base to support the development of short- and long-term engagement and fundraising strategies.
Predictive Analytics: Build predictive models and machine learning algorithms to forecast business outcomes, identify risks, and uncover opportunities for growth. Provide recommendations to staff and fundraisers for how to interpret, understand, and apply scoring in various fundraising activities.
Data Visualization and Reporting: Communicate insights effectively through data visualizations, dashboards, and reports. Present findings to stakeholders, including senior leaders, and other relevant teams, to advise on the creation of metrics to determine organizational effectiveness.
Collaborative Problem Solving: Work closely with cross-functional teams, including business analysts, product managers, and engineers, to identify business challenges and develop data-driven solutions. Provide analytical support and guidance in defining business strategies and initiatives.
Continuous Learning and Improvement: Stay updated with the latest industry trends, technologies, and best practices in data science and business intelligence. Continuously enhance skills in areas such as machine learning, data visualization, and statistical analysis.
Ability to perform the essential duties of the position with or without reasonable accommodation.
This role is responsible for other duties as assigned.
Commitment to Equity, Diversity, Inclusion, and Belonging:Harvard University views equity, diversity, inclusion, and belonging as the pathway to achieving inclusive excellence and fostering a campus culture where everyone can thrive. We strive to create a community that draws upon the widest possible pool of talent to unify excellence and diversity while fully embracing individuals from varied backgrounds, cultures, races, identities, life experiences, perspectives, beliefs, and values.Benefits:We invite you to visit Harvard's Total Rewards website (https://hr.harvard.edu/totalrewards) to learn more about our outstanding benefits package, which may include:
Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks for support staff and 4 weeks for administrative/professional staff), 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers.
Health and Welfare: Comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date.
Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more.
Retirement: University-funded retirement plan with contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service.
Tuition Assistance Program: Competitive program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools.
Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions.
Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.
Commuting and Transportation: Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more.
Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.
Work Format:Hybrid (partially on-site, partially remote) LinkedIn Recruiter Tag (for internal use only):#LI-KC1About Us:Who We Are
Harvard Business School’s department of External Relations (ER) is a place where innovation and record-breaking results are the norm. The technology that enables these accomplishments is essential to the success of the organization. We have a large and complex technology portfolio with integrations between a website, mobile app, numerous applications, and databases. We have an experienced team of data professionals who have invested years in building the foundation of our technology portfolio.
The ER Business Intelligence team collaborates with business stakeholders to understand their needs, objectives, and challenges. We proactively engage with departments and teams to identify opportunities for leveraging data-driven decision-making. We apply predictive analytics techniques to forecast future trends, identify potential risks or opportunities, and support strategic planning. The BI team designs intuitive and visually appealing dashboards and reports that present complex data in an easily understandable manner. It is the BI team’s responsibility to stay informed about emerging trends and technologies in the BI field and evaluate their potential impact on the organization.
Who We Are Looking For
As a member of the Business Intelligence team for ER, the Associate Director of Business Analytics focuses on developing insights and understanding of business performance based on data and statistical methods to drive decision making. Understanding trends and what will happen next will help inform operations and increase the effectiveness and efficiency of fundraising, prospect management, and alumni engagement activities.
We are seeking a highly analytical and detail-oriented individual with creative and critical thinking, excellent problem-solving skills, experience with in-depth analysis of complex data sets, and solid background in various technologies to join our team. In this role, you will be working with Senior Director and Director of ER Technology, leveraging data analysis and statistical modeling techniques to derive valuable insights and drive data-driven decision-making within the organization. You will play a crucial role in assisting the company in identifying opportunities for growth, optimizing operational processes, and improving overall business performance.