Job Description
We are urgently hiring a detail-oriented Data Analyst to join our dynamic team in Baltimore, MD. In this pivotal role, you will leverage your analytical expertise to transform raw data into meaningful insights that drive business growth and strategy. We offer flexible remote options, allowing you to work from anywhere in the United States while collaborating with top-tier professionals.
If you are passionate about data, possess a sharp eye for detail, and want to make an immediate impact, we want to hear from you.
Responsibilities
- Collect, process, and perform statistical analysis on large, complex datasets to identify trends and patterns that influence business decisions.
- Develop and maintain interactive dashboards using tools like Tableau, PowerBI, or Looker to visualize key performance indicators (KPIs) for stakeholders.
- Collaborate with cross-functional teams to define data requirements and translate high-level business objectives into actionable analytical tasks.
- Prepare detailed reports and presentations for leadership, ensuring data accuracy and clarity.
- Ensure data integrity and accuracy by cleaning, validating, and maintaining our data pipelines and databases.
- Identify opportunities for process improvement by analyzing operational data and recommending data-driven solutions.
- Stay current with industry trends and emerging data technologies to recommend process enhancements.
Qualifications
- Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related quantitative field.
- Proven experience (2+ years) in data analysis, preferably within the US market.
- Strong proficiency in SQL for querying databases and extracting complex datasets.
- Expertise in data visualization tools such as Tableau, PowerBI, or Looker.
- Proficiency in programming languages like Python or R for advanced data manipulation and statistical modeling.
- Excellent communication skills with the ability to explain complex data concepts to non-technical stakeholders.
- Ability to work independently in a remote environment with strong time management skills.