Key Responsibilities:

Collaborate with senior data analytics engineers to design and implement data pipelines to efficiently process and store large datasets.
Develop and maintain data models and database schemas to support data analytics and reporting needs.
Perform data cleansing, transformation, and aggregation to ensure data accuracy and consistency.
Support the development of data visualizations and dashboards to effectively communicate insights to stakeholders.
Conduct exploratory data analysis to identify patterns and trends, and communicate findings to the team.
Assist in the development and maintenance of data quality and governance processes.
Keep up-to-date with industry trends and best practices in data analytics and make recommendations for improvements.

Qualifications:

Bachelor's degree in Computer Science, Mathematics, Statistics, or related field.
1-2 years of experience in data analytics, data engineering, or related roles.
Strong understanding of data structures, algorithms, and database design principles.
Proficiency in SQL and experience with relational databases.
Experience with data visualization tools and techniques.
Familiarity with programming languages such as Python or R.
Knowledge of statistical concepts and techniques.
Excellent problem-solving and analytical skills.
Strong attention to detail and ability to work with large datasets.
Excellent communication and teamwork skills.

At Lobox, we value diversity and believe that it contributes to a more innovative and inclusive workplace. We are committed to providing equal employment opportunities to all individuals regardless of race, color, religion, gender, sexual orientation, age, national origin, disability, or any other legally protected status.

We offer a competitive salary and benefits package, as well as opportunities for career growth and development.

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