Data Analyst I
C
CareemE-commerce
WorldwideFull-TimeEntry
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 0–2 years
- Required Skills
- PythonSQLGitMicrosoft Power BINumpySnowflakeTableauPandasBigQueryRedshiftLookerR
Requirements
- Bachelor’s degree in Computer Science, Data Science, Statistics, Economics, or a related field.
- 0–2 years of experience as a Data Analyst or in a similar analytical role.
- Strong SQL skills.
- Proficiency in at least one analytical language (Python or R).
- Experience in analytical libraries (e.g., pandas, NumPy, SciPy).
- Hands-on experience with BI and visualization tools (e.g., Power BI, Tableau, Looker, or Metabase).
- Understanding of data modeling, ETL processes, and database concepts.
- Basic knowledge of statistics and hypothesis testing.
- Familiarity with AI tools (e.g., ChatGPT, Gemini, Copilot).
- Curiosity to experiment with emerging AI capabilities for workflow optimization and insight generation.
- Strong attention to detail and ability to manage multiple priorities.
- Excellent communication and presentation skills.
- Experience with version control (Git) is a plus.
- Experience with data warehouses (BigQuery, Redshift, Snowflake) is a plus.
Responsibilities
- Collect, clean, and analyze structured and unstructured data from various internal and external sources.
- Build and maintain dashboards and reports to track KPIs and business performance.
- Work with cross-functional teams (product, engineering, and operations) to understand data needs and deliver actionable insights.
- Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Support experimentation (A/B testing) and data-driven decision-making.
- Write SQL queries and use analytical tools to extract, transform, and analyze data efficiently.
- Leverage AI and automation tools to streamline recurring analytical tasks, improve data workflows, and enhance productivity.
- Explore opportunities to integrate AI-assisted insights (e.g., anomaly detection, trend forecasting, text summarization) into dashboards and reports.
- Document data definitions, methodologies, and analysis processes.
- Ensure data quality, integrity, and accuracy in reporting systems.
- Present findings clearly through visualizations and storytelling to both technical and non-technical stakeholders.
View Full Description & ApplyYou'll be redirected to the employer's site
