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Job Description
- Analyze large datasets using various tools and techniques.
- Identify trends, patterns, and anomalies in data.
- Develop and maintain dashboards and visualizations with a clear understanding of data trends.
- Highly organized and able to multitask in a fast-paced environment.
- Creation of automated operational reports related to key performance indicators and operational benchmarks.
- Develop strategies to generate and automate better reports.
- Use operational data to generate ideas related to improving the efficiency of processes.
- Collect, clean, and organize data from various sources.
- Participate in the implementation of new strategies based on data analysis.
- Make recommendations to optimize processes and enhance analytical performance.
Job Requirements
- Bachelor's or Master's degree in Engineering, Computer Science, Statistics or Applied Mathematics or equivalent experience
- 0 - 2 years' Data Analysis experience
- Proficient in SQL and Python
- Knowledge of data visualization tools such as Google data Studio.
- Excellent communication skills, both written and verbal. •
- Strong analytical skills, attention to detail and problem-solving skills.
- Ability to analyze complex data sets and derive actionable insights and statistical techniques.
- Ability to work independently, and as part of a team, manage multiple tasks, and meet deadlines in a fast-paced and dynamic environment.
Desired Skills & Experience
- Experience with some form of big data analytics technologies – PySpark, etc.
- Experience with Metabase.
- Experience with Databricks.
- Understanding of data modeling, data warehousing, and database design principles.
- Understanding of ETL processes and experience in data extraction, transformation, and loading.
- Experience with Machine Learning and Deep Learning algorithms.
