Assist in analyzing business operations and identifying areas for improvement through data insights. Collaborate with cross-functional teams to understand business needs and contribute to the development of data-driven solutions.
Conduct data gathering and cleansing to ensure accuracy and reliability of datasets. Utilize various tools to create ad hoc reports, dashboards, and visualizations that communicate findings effectively to stakeholders.
Support the execution of data analysis projects by performing statistical analysis and identifying trends and patterns that inform business strategies.
Translate data findings into clear recommendations that align with business goals, facilitating informed decision-making across the organization.
Monitor and assess data quality, suggesting improvements to enhance data integrity and accessibility.
Stay informed about industry trends and emerging analytics tools to continuously improve skill sets and analytical methodologies.
Requirements
Familiarity with data analysis tools and programming languages (e.g., SQL, Python, Excel).
SQL: Knowledge of basic queries and data manipulation techniques.
Python or equivalent programming language: Basic understanding of libraries such as Pandas or NumPy for data analysis.
Basic understanding of statistical concepts and data visualization principles.
Strong analytical and problem-solving skills with attention to detail.
Effective communication skills, capable of conveying complex data insights to non-technical stakeholders.
Ability to manage time efficiently and work collaboratively in a team environment
