Job Description
About the Opportunity
We are looking for a skilled and motivated Data Analyst to join our growing team in Baltimore, MD. In this full-time role, you will be responsible for translating complex data sets into clear, actionable insights that drive strategic decision-making. We are offering a comprehensive relocation assistance package to help you transition smoothly to our vibrant city, regardless of your current location.
Why You'll Love Working Here
- Competitive salary and comprehensive benefits package.
- Generous relocation assistance to move to Baltimore, MD.
- Flexible remote work options with a hybrid model available.
- Opportunity to work with cutting-edge data technologies.
What You'll Do
Responsibilities
- Develop and maintain complex SQL queries and database models to support business intelligence reporting.
- Create interactive dashboards and visualizations using Tableau or Power BI to track KPIs and performance metrics.
- Perform data cleaning, validation, and transformation to ensure high data integrity for all analytical projects.
- Collaborate with cross-functional teams to identify trends, anomalies, and opportunities for process improvement.
- Prepare detailed reports and presentations for executive stakeholders, translating technical findings into business value.
- Utilize Python or R to automate data pipelines and enhance analytical capabilities.
- Maintain documentation for data sources, methodologies, and reporting frameworks.
Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Statistics, or a related quantitative field.
- 3+ years of professional experience as a Data Analyst, with a preference for candidates in remote or hybrid settings.
- Advanced proficiency in SQL (PostgreSQL, MySQL, or Oracle) and experience with ETL tools.
- Strong working knowledge of data visualization platforms (Tableau, Power BI, or Looker).
- Familiarity with programming languages such as Python or R for data manipulation.
- Excellent communication skills with the ability to explain complex data concepts to non-technical audiences.