Senior Data Analyst
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.
- 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.
- 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.
- 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.
- Creates best practice outputs based on data mining, analysis, and visualization.
- Performs other duties as assigned.
- 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.
- 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.
For work locations in the US, the hiring range for this position is $86,700 - $102,000.
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About Habitat for Humanity
Habitat for Humanity, founded in 1976, is a global, Christian-based nonprofit organization that grew out of an intentionally multi-racial community in rural Georgia. Seeking to put God’s love into action, Habitat brings together people of all faiths and people of no faith to build homes, communities and hope. Working alongside each other, we help families and individuals build and improve places to call home and achieve the strength, stability and self-reliance they need to build better lives for themselves. Habitat seeks individuals who have a willingness to affirm these principles and values.
At Habitat for Humanity International, we embrace a history rooted in creating equity and take our mission seriously by courageously committing to a culture and workplace where all staff feel safe, welcome, visible, respected, supported and valued. As an equal opportunity employer, we realize that our success depends upon building an inclusive workforce of diverse perspectives and encourage people of varied races (which is inclusive of traits historically associated with race, including, but not limited to, protective hairstyles and hair texture), ethnicities, national origins, tribes, religions, ages, gender identities and expressions, genders, sexual orientations, marital statuses, disabilities, veteran/reserve national guard statuses, socio-economic statuses, thinking and communication styles to work with us.
We also require that all staff take seriously their ethical responsibilities to safeguarding our intended beneficiaries, their communities (especially children), and all those with whom we work. In line with the prevention of sexual exploitation and abuse, all staff must pass a thorough background screening and will be held accountable to upholding our policies around ethical behavior, including safeguarding and whistleblowing.