Data Analyst

We are looking for a detail-oriented and analytical Data Analyst to join our team. The ideal candidate will be responsible for collecting, processing, and analyzing large datasets to provide actionable insights that support business decision-making. You will work closely with cross-functional teams to identify trends, forecast outcomes, and help optimize operations.

Key Responsibilities:

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

Perform statistical analysis and interpret data to identify patterns, trends, and insights.

Develop dashboards, visualizations, and reports using tools like Power BI, Tableau, or Excel.

Collaborate with stakeholders to understand business needs and translate them into data requirements.

Create and maintain documentation on data definitions, business logic, and data models.

Support data-driven decision-making by designing A/B tests and performing ad hoc analyses.

Identify opportunities for process improvements using data insights.

Required Qualifications:

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

1–3 years of experience in a data analyst or similar role.

Proficient in SQL and one or more programming languages (e.g., Python, R).

Experience with data visualization tools (e.g., Tableau, Power BI, Looker).

Strong analytical, problem-solving, and critical thinking skills.

Excellent communication skills with the ability to present complex findings in a clear and concise manner.

Preferred Qualifications:

Experience with cloud platforms (e.g., AWS, Google Big Query, Azure).

Familiarity with data warehousing and ETL processes.

Knowledge of machine learning basics or predictive analytics.

Experience in [industry-specific experience, e.g., e-commerce, healthcare, finance].