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

100,000 to $115,000 / year

Job Posted by ApplicantPro