Data Analytics Engineer- HYBRID

Qualifications:

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a

related quantitative field.

• Prior experience or internship in data analysis, data engineering, or business

intelligence roles.

• Familiarity with SQL and database concepts.

• Exposure to data visualization tools (e.g., Tableau, Power BI, Superset).

• Knowledge of data warehousing concepts (e.g., Snowflake, BigQuery, Redshift).

• Experience in industries such as e-commerce, marketing, or finance is a plus.

• Strong analytical and problem-solving skills.

• Basic programming knowledge in Python or R (preferred).

• Excellent written and verbal communication skills.

• Strong attention to detail and commitment to data accuracy.

• Ability to work independently and as part of a collaborative team.

• ...