Driven by the vision that everyone needs a decent place to live, Habitat for Humanity began in 1976 as a grassroots effort on a community farm in southern Georgia. The Christian housing organization has since grown to become a leading global nonprofit working in local communities across all 50 states in the U.S. and in more than 70 countries. Families and individuals in need of a hand up partner with Habitat for Humanity to build or improve a place they can call home. Habitat homeowners help build their own homes alongside volunteers and pay an affordable mortgage. Through financial support, volunteering or adding a voice to support affordable housing, everyone can help families achieve the strength, stability and self-reliance they need to build better lives for themselves. Through shelter, we empower. To learn more, visit habitat.org.

Habitat for Humanity International is in search of a Senior Data Analyst. In this position, the successful candidate will be responsible for acquiring, interpreting, and analyzing data from various sources, building data literacy with identified data stewards across the organization, and reporting results back to relevant business areas to support organizational decisions.

The primary responsibility of this role is to make recommendations about methods and ways HFHI can collect and analyze data to improve data quality and operational efficiencies across the data ecosystem.

This position can be based remotely in the US and requires 5% travel.

Essential Duties And Responsibilities

Data Acquisition (10%)

• Acquires, interprets, analyzes data from various data sources utilizing statistical techniques.
• Works in collaboration with application owners to document data acquisition and integration logic to ensure methods and tools are within the defined technology stack to ensure optimal scalability and performance of the solution.

Data Profiling (20%)

• Evaluates internal systems for efficiency, problems, and inaccuracies, developing and maintaining protocols for handling, processing, and cleansing data.
• Identifies, analyses, and interprets trends/patterns in data sets.
• Documents data lineage throughout the data ecosystem.
• Profiles data for understandability of how data is being defined, produced, and utilized.

Data Analysis (30%)

• Evaluates organizational methods and provide source-to-target mappings and information-model specification documents for data sets.
• Works closely with Data Management Team resources (Data Modeler, Data Quality Engineer and others) and other Data Stewards to ensure business rules are represented accurately and maintained within all data models.
• Proactively analyzes data to answer key questions from stakeholders with focus on what drives business performance, investigating and communicating areas for improvement in efficiency and productivity.
• Creates and maintains rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sources.
• Develops and implements data collection systems that optimize statistical efficiency and quality that will make data evaluation process more flexible/scalable across data sets.
• Evaluates and assess data sources to produce reliable reference and master data.
• Collaborates with other data management resources to establish technical metadata i.e., data catalogues and data dictionaries in the data ecosystem.

Data Support (30%)

• Works closely with tactical Data Domain Stewards and working Team Leads to understand and maintain focus on their analytical needs by identifying critical metrics and KPIs to deliver actionable insights to decision-makers.

Data Training (10%)

• Creates best practice outputs based on data mining, analysis, and visualization.
• Performs other duties as assigned.

Minimum Requirements:

• Bachelor’s Degree (Technical Discipline).

• 5+ years mining data in the role as a Data Analyst.

• Effective communicator with technical and nontechnical staff/resources.

• Experience working in a matrixed organization.

• Advanced MS SQL skills with the aptitude to learn other analytic tools.

• Experience with database and model design and segmentation techniques.

• Proven data analytical ability (mining, evaluation, analysis and visualization).

• Strong technical writing experience with focus on queries, outputs (reports/dashboard), and presentations.

• Ability to collaborate effectively and work as part of a team.

• Strong problem-solving and analytical abilities.

• Strong attention to detail.

• Understandability of data lifecycle.

• Ability to work collaboratively in a fast-paced, Safe Agile environment.
  Active support of HFHI Values:

• Humility – We are part of something bigger than ourselves.

• Courage – We do what’s right, even when it is difficult or unpopular.

• Accountability – We take personal responsibility for Habitat’s mission.

• Safeguarding: HFHI requires that all employees take seriously their ethical responsibilities to safeguarding our intended beneficiaries, their communities, and all those with whom we work. Managers at all levels have responsibilities to support and develop systems that create and maintain an environment that prevents harassment, sexual exploitation and abuse, safeguards the rights of beneficiaries and community members (especially children), and promotes the implementation of Habitat for Humanity’s code of conduct.

Preferred – In addition to minimum:

• Knowledgeable of DAMA DMBOK2 focused disciplines: data architecture, data modelling, data integration, reference data, metadata, and data quality.
• Ability to analyze large datasets.
• Ability to cultivate relationships, both internally and externally, to achieve HFHI initiatives.