Data Analyst

Aspen Grove Inc., a leading financial services company in Baltimore, MD, is seeking a full-time Data Analyst to join our investment management and financial advisory team. This role offers a dynamic and challenging environment to contribute to data-driven decision-making processes. As a Data Analyst, you will analyze large datasets to identify trends and insights, clean and process raw data, develop and implement data models, and create visualizations to present findings. You will collaborate with cross-functional teams to ensure data accuracy and relevance. The Data Analyst will work in our Baltimore, MD office, collaborating with a team of financial analysts and data scientists. The office environment is professional and conducive to productivity, with opportunities for professional development and growth. The annual salary for this role spans from $140,000 to $198,880, reflecting a competitive compensation package. Employees in this position typically manage a diverse range of tasks, including project coordination, client communication, and data analysis. The role requires proficiency in various software tools such as Microsoft Office Suite, project management applications, and data analytics platforms. The workplace is typically an office environment, although remote work options may be considered. Benefits, while not specified, are likely to include health insurance, retirement plans, and possibly professional development opportunities. The position may also offer flexible working hours or other perks to attract and retain the right candidate. To excel in this role, you should have a strong background in data analysis, with proficiency in tools such as SQL, Python, and Tableau. A degree in Statistics, Mathematics, or Computer Science is required. Strong problem‑solving skills and the ability to communicate complex data insights to non‑technical stakeholders are essential. Analyzing large datasets, cleaning and processing raw data, developing and implementing data models, creating visualizations, collaborating with cross-functional teams Degree in Statistics, Mathematics, or Computer Science, proficiency in SQL, Python, and Tableau, strong problem‑solving skills, ability to communicate complex data insights