Jr. Data Analyst
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Job description
The Junior Data Analyst serves as a key data and systems resource. This role supports internal and external reporting, assists in administration of the claims management system, and contributes to the development of client-facing deliverables., * Manage and fulfill internal and external report requests, ensuring accuracy and timeliness
- Create, modify, and maintain custom reports within the enterprise claims system
- Develop monthly, quarterly, and annual reports and client-facing presentations
- Assist with data extraction, preparation, and validation using SQL, Excel, and other tools
- Support system administration tasks for the internal claims platform, including user support and basic configuration
- Collaborate with cross-functional teams to support data needs for projects, reporting, and operational initiatives
- Maintain organized documentation of processes, reports, and data sources
- Assist in identifying opportunities for process improvement and reporting efficiency
Requirements
Do you have experience in Data-driven problem-solving?, Do you have a Bachelor’s degree?, The Junior Data Analyst will collaborate cross-functionally with multiple departments to support data-driven decision making and operational initiatives. Success in this role requires a strong technical foundation, exceptional organizational skills, attention to detail, and the ability to manage multiple priorities in a fast-paced environment., * Intermediate proficiency in SQL (e.g., joins, case statements, window functions)
- Intermediate proficiency in Microsoft Excel (e.g., XLOOKUP, PivotTables, charts, formulas)
- Strong analytical and problem-solving skills
- Excellent organizational skills with attention to detail
- Demonstrates a positive attitude, strong interpersonal skills, and a commitment to fostering productive, respectful relationships with both internal teams and external clients.
Preferred:
- Bachelor’s degree in computer science, data analytics, or a related field (or equivalent experience)
- Experience with scripting or programming (e.g., Python, PowerShell, Pandas)
- Familiarity with data visualization tools (e.g., Power BI, Tableau)
- Exposure to data automation or transformation tools (e.g., PowerQuery, VBA)
- Interest in data visualization, reporting design, and process automation
Core Competencies
- Ability to manage multiple tasks and shifting priorities (including frequent context switching)
- Strong attention to detail and commitment to data accuracy
- Initiative and willingness to learn new tools and technologies
- Ability to translate business needs into data solutions
- Collaborative mindset with a customer-service-oriented approach
Physical Requirements:
- Prolonged periods of sitting at a desk and working on a computer.
- Must be able to lift 20 pounds.
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