- 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.
Bachelor's or Master's degree in Engineering, Computer Science, Statistics or Applied Mathematics or equivalent experience0 - 2 years' Data Analysis experienceProficient in SQL and PythonKnowledge 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 & ExperienceExperience 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.