Junior Data Analyst (225-918)

As a Junior Data Analyst, you will play a critical role in helping organizations make informed decisions by transforming data into actionable insights. This position involves working with various data sources, analyzing trends, and providing clear reporting to support strategic planning. You will collaborate closely with senior analysts and cross-functional teams to ensure data accuracy, draw meaningful conclusions, and convey findings to stakeholders. This role is ideally suited to an analytically-minded individual who is passionate about data, curious to learn, and eager to start a career in data analytics. Joining as a Junior Data Analyst offers a great opportunity for personal and professional growth within a supportive team environment.

Responsibilities

• Collect, clean, and organize raw data from multiple sources for analysis.
• Assist in the development and implementation of data collection systems.
• Conduct detailed data analysis under the guidance of senior analysts.
• Prepare reports and presentations to communicate findings effectively.
• Support the maintenance and update of internal databases and dashboards.
• Collaborate with team members to identify trends and patterns in data.
• Participate in meetings to discuss analytical findings and insights.
• Stay up-to-date with industry best practices and tools in data analytics.
• Develop technical skills by working on complex datasets and analytical tools.
• Ensure compliance with company data privacy policies and procedures.
• Contribute innovative ideas for data-driven projects and strategies.
• Assist in designing and implementing data models for performance optimization.

Requirements

• Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field.
• Strong analytical skills and a keen attention to detail are essential.
• Basic understanding of data analysis tools such as SQL, Excel, or Python.
• Excellent communication skills, both verbal and written, are required.
• Ability to work collaboratively in a team environment is crucial.
• Proven problem-solving abilities with a proactive approach to challenges.
• Desire to learn and develop new skills in data analytics continuously.