Job Highlight
Looking for a Data Analytics Engineer with strong SQL, Python, and BI tool expertise to drive data strategy, build robust analytics solutions, and support business growth.
Responsibilities
- Gather and interpret client requirements, translating them into effective solutions, including dashboards and data pipelines.
- Demonstrate a strong understanding of data and business use cases to develop meaningful dashboards that support better decision-making.
- Design, develop, maintain, and deploy business intelligence solutions to ensure accurate data visualization.
- Continuously seek opportunities to enhance data integration processes, analytical methodologies, and reporting practices to ensure the highest level of data integrity and efficiency.
- Work closely with cross-functional teams to understand their data needs and deliver consistent, high-quality analytical support.
Requirements
- Bachelor’s degree or higher in IT, Engineering, Business, or other related fields.
- 2+ years of experience in the Data Analyst/Data Engineer field (personal or learning
projects included).
- Proficiency in creating and managing data models.
- Proficiency in writing and optimizing complex SQL queries.
- Experience with data manipulation using Python.
- Experience using analytics tools such as Tableau, Power BI, or Spotfire.
- Experience with Git.
