Harvard University Sr Business/Data Analyst, ER in Cambridge, Massachusetts
64394BRAuto req ID:64394BRJob Code:I0858P IT Business Analysis Prfss IV Department Office Location:USA - MA - Boston Business Title:Senior Business and Data Analyst, 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:
- Bachelor's or Master's degree in Business Administration, Data Science, Statistics, Mathematics, Economics, or a related field.
Experience as a Business Analyst, Data Analyst, or similar role, preferably with a focus on data analysis and business intelligence.
Strong analytical skills and proficiency in statistical analysis tools and techniques.
Proficiency in data analysis and visualization tools such as SQL, Python, R, Tableau, Power BI, Oracle Analytics or similar.
Good understanding of data governance principles, data management, and data quality assurance.
Excellent communication skills, with the ability to translate complex data analysis into actionable insights for non-technical stakeholders.
Strong problem-solving skills and the ability to think critically and strategically.
Experience in time management and the ability to manage multiple tasks concurrently.
Strong attention to detail and ability to work with large datasets.
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:Employment, 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 Interpretation: Perform in-depth analysis of complex data sets, including financial, operational, and customer data. Use statistical methods and data visualization techniques to identify trends, patterns, and correlations that can provide valuable insights to support strategic decision-making.
Requirements Gathering: Collaborate with stakeholders from different departments to understand their business objectives and requirements. Translate business needs into data analysis requirements and develop analytical models to address specific business questions or problems.
Reporting and Presentations: Create clear and concise reports, dashboards, and presentations to communicate findings and recommendations to both technical and non-technical stakeholders. Present complex data and analysis results in a visually compelling and easy-to-understand manner.
Insights and Recommendations: Analyze data and identify opportunities for process improvement, cost reduction, revenue growth, and enhanced customer experience. Provide actionable recommendations based on data-driven insights to support business strategies and objectives.
Data Visualization: Utilize data visualization tools to create interactive and intuitive visual representations of data, enabling stakeholders to explore and understand complex information more effectively.
Cross-Functional Collaboration: Collaborate with cross-functional teams, including business stakeholders, IT professionals, and data engineers, to ensure smooth data integration, implementation of analytical solutions, and alignment with business goals.
Continuous Learning and Development: Stay up to date with industry trends, emerging technologies, and best practices in data analysis, business intelligence, and data visualization. Continuously enhance skills and knowledge through self-learning, training, and professional development opportunities.
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: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 responsibilities to stay informed about emerging trends and technologies in the BI field and evaluate their potential impact on the organization.
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 as a Senior Business and Data Analyst. Senior Business and Data Analyst is a key role within an organization that combines business acumen with data analysis skills to drive informed decision-making and support business objectives. This position involves working closely with various stakeholders to gather and analyze data, identify trends, and provide actionable insights. The Senior Business and Data Analyst is responsible for leveraging data to solve complex business problems, improve operational efficiency, and enhance overall performance.