FHI 360 is a global organization that mobilizes research, resources and relationships so people everywhere have access to the opportunities they need to lead full, healthy lives. Our staff of over 4,000 experts work in more than 60 countries around the world.

Vision
We are working to create a world where opportunity is within reach for all people.

Mission
FHI 360 advances equity, health and well-being through data-driven, locally led solutions — so that humanity thrives.

This position will require one day in-person per week in our Washington DC office. Candidates not currently based in the DC area should note plans to relocate in their resume or cover letter in order to be considered.

The Strategy and Innovation Office seeks a Business Data Analyst as its newest team member. The selected candidate will report to the Senior Advisor of Measurement and Data. Our team is central to supporting FHI360’s strategic ambition and facilitating organizational learning and evidence use. The work of the Business Data Analyst includes collaboration with cross-functional teams within FHI360 to build data and learning products. You will conduct descriptive and statistical data analysis for measuring organization-level external impact and internal business performance. In addition to applying your technical skills, you will gain invaluable exposure to different aspects of the business, enabling you to broaden your skills and build a strong network.

We value a balance of people and technical skills in our team members. You will be responsible for engaging stakeholders to design and implement data collection tools, create analysis pipelines, and develop dashboards. FHI360 provides the latest data science tools. You will use conventional and innovative techniques to build business intelligence products, including PowerBI Dashboards, to demonstrate organization-level performance results. You must have proven experience in business data analysis, data modeling, and visualization.

Job Summary:

Collects, manages, and analyzes quantitative and qualitative data from the external competitive market and from within the organization to perform descriptive and statistical analyses and make recommendations that support business needs. May provide consultation to internal users and lead cross-functional teams to address business data issues.

Accountabilities:

• Supports business activities for the development of organization wide social impact and business performance metrics including survey design, data collection, descriptive and statistical data analysis, and dashboard development.
• Analyzes external and internal data to identify trends/opportunities, develops strategic options based on the data analyzed, and creates compelling presentations identifying the key business implications and recommendations.
• Conducts quantitative and qualitative data analysis and delivers insights and presentations to senior leadership and functional teams. Be able to develop and manage multiple data dashboards concurrently, preferably in PowerBI.
• Updates data from multiple sources regularly to provide information to management to make strategic business decisions.
• Coordinates with relevant business teams and individuals on the issues of data collection, data quality, metrics improvement, and sharing analysis results.
• Contributes to improving the department's internal data systems, processes, and tools particularly as they enhance the vision of strategy development, analytics, and/or innovation.
• Assists with project management and coordination/development of work plans, deliverables,
• and activities.
• Maintains report forms, formats, information dashboards, data generators, reports and other resources.
• Performs other duties as assigned.

Applied Knowledge & Skills:

• Prior experience with business performance metrics and developing business intelligence dashboards or other data products for business or department-level decision-making. For example, development of a Balanced Score Card dashboard, development of organization-level social impact or environmental, social, and corporate governance (ESG) dashboard, department level finance, annual performance, and or human resources dashboard etc.
• Working knowledge of fundamental concepts, practices, and procedures of business data analysis including knowledge of performance indicators, business operations indicators, working with databases, and creation of data models.
• Solid experience in working with messy data, conducting descriptive analysis and statistical modeling, and visualization preferably using MS Excel, R or Python, and PowerBI.
• Excellent oral and written communication skills, including the ability to effectively present data products to and interact with senior executives.
• Strong critical thinking and problem-solving skills. Ability to interact effectively with data scientists and non-technical staff at all levels, especially senior executives.
• Must be able to read, write, and speak fluent English. Must be able to present technical data analysis findings as simple non-jargon reports.
• Ability to work on multiple projects simultaneously.
• Demonstrated ability to work with highly confidential and proprietary information.

Problem Solving & Impact:

• Works on moderate problems that require analysis of data and review of a range of factors.
• Exercises judgment within defined procedures and practices to determine appropriate action.
• Builds productive internal and external working relationships.
• Decision or actions may affect a work unit.

Supervision Given/Received:

• Has no supervisory responsibility.
• Contributes to business and operational decisions that affect the department.
• Receives instruction on new assignments or projects.
• Reports to Senior Advisor, Measurement and Data.

Education:

• Bachelor's Degree or International Equivalent in Business Administration, Finance or Related Field.

Experience:

• Requires 2-5 years of experience in primary or secondary research, statistical analysis, business data analysis, and dashboard development.
• Demonstrated experience in quantitative and qualitative data research and analysis.
• Prior private sector experience such as data scientist, management consulting, business data science, investment analyst, and corporate strategy analyst, is a plus.

Typical Physical Demands:

• Typical office environment.
• Ability to spend long hours looking at computer screen and doing repetitive work on a keyboard.
• Ability to sit or stand for extended periods of time.
• Ability to lift or move up to 5 lbs.

Technology to be Used

• Computer/Laptop, Microsoft applications (i.e., Office 365, SharePoint, Skype/Zoom/Teams), Data applications (MS Excel, R, Python, and PowerBI etc.) cell phone/mobile technology, and standard office equipment.

Travel Requirements:
Less than 10%