Data Analyst

Data Analyst/Steward, hybrid, onsite 3 days pays $136k with all bens (medical, dental, 401k, PTO) Requires SQL coding assessment

Key Responsibilities

Data Analysis: Conduct in-depth data analysis to identify trends, patterns, and anomalies in data sets. Provide actionable insights to stakeholders.

Data Profiling: Perform data profiling to assess data quality and integrity. Develop and implement strategies to improve data quality based on profiling results.

SQL Proficiency: Utilize advanced SQL skills to write complex queries for data extraction, manipulation, profiling and analysis.

Data Governance: Collaborate with data governance teams to establish and enforce data standards and policies. Ensure compliance with data governance frameworks.

Documentation: Create and maintain comprehensive documentation for data processes, data lineage, and data quality metrics.

Collaboration: Work closely with cross-functional teams, data engineers, and business stakeholders, to understand data needs and deliver solutions.

Training and Mentorship: Provide training and mentorship to junior data stewards on data management best practices and tools.

Continuous Improvement: Identify opportunities for process improvements in data management and stewardship practices. Implement best practices for data quality and governance.

Qualifications

Education: Bachelor’s degree in Data Science, Computer Science, Information Systems, Data Analytics or Engineering

Experience: Minimum of 5 years of experience in data stewardship, data analysis, or a related role.

Technical Skills:

Advanced or intermediate SQL skills with experience in writing complex queries.

Familiarity with data profiling tools and techniques.

Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.

Analytical Skills: Strong analytical and problem-solving skills with a keen attention to detail.

Communication Skills: Excellent verbal and written communication skills. Ability to present complex data findings to non-technical stakeholders. Ability to use Microsoft Excel or similar tool to show and summarize findings

Team Player: Ability to work collaboratively in a fast-paced environment and manage multiple priorities.

Preferred Skills

Familiarity with programming languages such as Python or R for data manipulation and analysis.