Data Engineer

We are looking for a detail-oriented and analytical Data Analyst to join our team. The successful candidate will be responsible for collecting, processing, and analyzing data to generate actionable insights that help drive business decisions.

Key Responsibilities:

Collect, clean, and validate data from various sources to ensure accuracy and reliability.

Analyze large datasets to identify trends, patterns, and insights.

Build dashboards and reports using tools like Power BI, Tableau, or Looker.

Collaborate with business teams to understand their data needs and provide relevant solutions.

Perform ad hoc analysis to support strategic initiatives and operational decisions.

Translate complex data findings into clear, actionable recommendations for stakeholders.

Work with data engineering teams to improve data quality and architecture.

Monitor key performance indicators (KPIs) and provide regular updates.

Required Skills & Qualifications:

Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field.

2+ years of experience in data analysis or a similar role.

Strong proficiency in SQL and data manipulation techniques.

Experience with data visualization tools like Tableau, Power BI, or Google Data Studio.

Proficiency in Excel and experience with statistical tools such as Python (pandas, NumPy), R, or SAS.

Strong problem-solving skills and attention to detail.

Excellent communication and presentation skills.

Preferred Qualifications:

Experience working with cloud platforms like AWS, GCP, or Azure.

Familiarity with ETL tools and data warehousing concepts (e.g., Snowflake, Big Query, Redshift).

Experience with A/B testing and experimentation frameworks.

Understanding of machine learning basics and predictive modeling.