Jr. Data Analyst in Cooper City, Florida at BrightStar Credit Union

About the Role:

As a Jr. Data Analyst, you will play a crucial role in supporting the data-driven decision-making processes within the organization. Your primary focus will be on collecting, processing, and performing basic analyses on data sets to uncover trends and insights that inform business strategies. You will collaborate closely with senior analysts and cross-functional teams to ensure data accuracy and relevance. This role requires a strong attention to detail and the ability to communicate findings clearly to both technical and non-technical stakeholders. Ultimately, your contributions will help optimize operations and drive growth by providing actionable intelligence derived from data.

Minimum Qualifications:

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.
• Proficiency in Microsoft Excel and experience with data visualization tools such as Tableau or Power BI.
• Basic knowledge of SQL for querying databases.
• Strong analytical and problem-solving skills with attention to detail.
• Effective written and verbal communication skills.

Preferred Qualifications:

• Experience with programming languages such as Python or R for data analysis.
• Familiarity with statistical methods and predictive modeling techniques.
• Previous internship or work experience in a data analysis or business intelligence role.
• Understanding of data warehousing concepts and ETL processes.
• Knowledge of cloud-based data platforms such as AWS or Azure.

Responsibilities:

• Collect, clean, and validate data from various internal and external sources to ensure accuracy and completeness.
• Perform exploratory data analysis to identify patterns, trends, and anomalies.
• Create and maintain reports and dashboards to visualize key performance indicators and business metrics.
• Assist in the development of data models and support senior analysts in complex data projects.
• Communicate analytical findings effectively to team members and stakeholders through presentations and written reports.
• Collaborate with IT and data engineering teams to improve data collection and storage processes.
• Stay updated on industry best practices and emerging tools in data analysis.

Skills:

The required skills such as proficiency in Excel and SQL are used daily to manipulate and query data sets, ensuring data integrity and extracting meaningful information. Data visualization skills enable the creation of clear and insightful dashboards and reports that support decision-making. Strong analytical skills help in interpreting data trends and identifying opportunities or issues within business operations. Preferred skills like Python or R programming enhance the ability to automate data processing and perform more advanced statistical analyses. Communication skills are essential for translating complex data findings into understandable insights for diverse audiences, fostering collaboration across departments.