Data Scientist

Responsibilities

Collaboration with the key functional areas across the organization (40%)

• Build trusted relationships with teams and help scope data projects with maximum strategic impact.
• Contribute to the organization’s and functional teams’ planning process by identifying high-ROI opportunities.
• Educate stakeholders on data inputs, data responsibility, and data interpretation.
• Drive data-informed decision making across all organizational functions.

Analytics and dashboarding (40%)

• Define, track, and analyze key metrics to gauge the success of key organizational functions.
• Build dashboards and automated reports to enable self-serve analytics.
• Work with the Data & Engineering team to identify, instrument, and ELT new data into a centralized warehouse.
• Create compelling data visualizations and narratives that drive action across teams.

Advanced analysis and data science (20%)

• Partner with teams to launch and analyze experiments that measure and amplify our impact.
• Identify and tackle potentially abstract topics like the qualities that make for effective coaches.
• When appropriate, build exploratory or decision-support models to improve learner engagement, prospect management, and outcomes.

Skillset

• Committed to Merit America’s mission to pave pathways to family-sustaining careers, break the poverty cycle, and create upward mobility for low-wage workers.
• Demonstrated history of embodying our values, which inform our work and drive our organization’s culture.
• Shared sense of responsibility and ownership for our collective work in making a positive impact on the community we support, true to our value of Win & Lose Together.
• Committed to continuous learning and growth in advancing inclusive excellence and closing gaps across lines of difference.
• Passionate about fostering a workplace culture that embraces and values individual differences, aligned with our core value of inclusivity.
• Technical Expertise: 2+ years of SQL experience; proficiency in R or Python for data analysis; proficiency in at least one BI tool (Hex, Tableau, Tableau, etc).
• Communication: Exceptional ability to translate technical insights for non-technical stakeholders with strong stakeholder empathy.
• Delivery: Proven track record delivering both strategic analyses and self-service solutions.