Senior Data Analyst (Data Scientist / Data Engineer)

Job Description

Job Description

The Senior Data Analyst leads enterprise-level data initiatives by combining technical expertise
with strategic insight. This role is responsible for driving data governance, advanced analytics,
integration projects, and dashboard development to support the organization's mission - including
initiatives in affordable housing and enterprise-wide operations. The ideal candidate is a seasoned
data professional with strong leadership skills, hands-on technical ability, and a passion for
delivering data-driven insights.

RESPONSIBILITIES

• Lead and manage cross-functional data governance, migration, integration, and analytics projects
aligned with strategic organizational goals.
• Design and implement robust dashboards and visualizations using Power BI, ensuring clarity,
performance, and data accuracy.
• Write, optimize, and maintain complex SQL queries for data extraction, transformation, and
reporting across multiple platforms.
• Develop and enforce data governance standards, policies, and best practices across
departments.
• Integrate with external APIs and enterprise systems to support real-time data ingestion and
analysis.
• Mentor junior analysts, fostering a culture of growth, collaboration, and analytical
excellence.
• Translate complex data into actionable insights for both technical and non-technical
stakeholders.
• Manage project timelines, stakeholder expectations, and reporting deliverables across business
units.

SKILLS & QUALIFICATIONS

• Proficiency in Power BI, including data modeling (DAX, M language), report design, and
performance tuning.
• Experience with dashboarding and data storytelling to communicate trends and opportunities
effectively.
• SQL development skills with the ability to query and manipulate large datasets.
• Familiarity with RESTful APIs and integrating external data sources into enterprise
systems.
• Strong analytical, critical thinking, and problem-solving capabilities.
• Demonstrated leadership in managing analytics initiatives and cross-functional
collaboration.
• Knowledge of data warehousing, data modeling, and ETL/ELT processes.
• Effective communicator with the ability to explain technical concepts clearly to non-technical
audiences.

EXPERIENCE & EDUCATION

• Bachelor's degree in Data Science, Computer Science, Information Systems, Finance, or related
field.
• 5+ years of experience in data analysis, business intelligence, or data engineering.

• Advanced Excel skills preferred.
• Experience working with ERP systems for data integration and enterprise reporting.
• Project Management experience a plus.

PHYSICAL REQUIREMENTS/WORK ENVIRONMENT

• Operate computer and office equipment.
• Work is primarily sedentary in nature.

FLSA:

• Exempt

PAY

$100,000 to $115,000/year