Job Description
Are you a data-driven problem solver ready to make an impact?
We are urgently hiring a skilled Data Analyst to join our dynamic team in Baltimore, MD. This is a unique opportunity to leverage your analytical skills in a role that offers flexible remote options while working with cutting-edge technologies. If you thrive on turning complex datasets into clear, actionable business strategies, we want to hear from you.
About the Role
As a Data Analyst, you will serve as the bridge between our data and our business decisions. You will be responsible for uncovering insights that help us optimize operations and drive revenue growth. This is a high-visibility position within a collaborative environment.
Responsibilities
- Deep Data Analysis: Collect, clean, and analyze large, complex datasets to identify trends, patterns, and correlations that drive business decisions.
- Dashboard Creation: Design and maintain interactive, user-friendly dashboards (using Tableau or PowerBI) to visualize key performance indicators (KPIs) for stakeholders.
- SQL & Reporting: Write efficient SQL queries to extract data and generate comprehensive performance reports on a weekly and monthly basis.
- Stakeholder Collaboration: Partner with product managers and engineering teams to define data requirements and translate business needs into technical solutions.
- Forecasting: Develop predictive models and forecasts to assist in strategic planning and resource allocation.
- Process Improvement: Identify inefficiencies in data collection processes and recommend automated solutions to improve data quality.
Qualifications
- Education: Bachelor’s degree in Statistics, Mathematics, Computer Science, Information Systems, or a related field.
- Experience: 3+ years of proven experience in data analysis, business intelligence, or a similar analytical role.
- Technical Skills: Proficiency in SQL (Advanced), Python, or R, and experience with data visualization tools like Tableau or PowerBI.
- Communication: Exceptional ability to communicate complex data findings to non-technical audiences clearly and concisely.
- Problem Solving: Strong critical thinking skills with a focus on data integrity and accuracy.
- Flexibility: Ability to work effectively in a remote or hybrid work environment.