Our client is dedicated to leveraging data to make a real impact in the maritime world. Join our client's Business Unit or Data Platform Group and be part of a dynamic team driving product innovation and informed decision-making.
As a Data Analyst at Windward, you'll immerse yourself in the fascinating world of maritime data, conducting research and analysis using Python, SQL, and occasionally Java. Your insights will drive strategic decisions and shape the future of our products.
What will you do?
● Write Python code to extract and analyze data from various sources, including Rockset, MongoDB, and S3.
● Analyze large datasets to uncover trends, patterns, and anomalies.
● Ensure data integrity and quality through thorough analysis and maintenance.
● Visualize findings using tools like Matplotlib and communicate insights effectively to stakeholders.
● Collaborate with cross-functional teams to address challenges and optimize data processes.
● Develop strategies for both structured and unstructured data formats, and optimize data
processing workflows for efficiency.
● Apply domain knowledge to interpret data in the context of the maritime industry.
● Conduct data quality assurance checks to identify and resolve inconsistencies and errors.
Who are you?
● Experience as a Data Analyst of at least 1 year.
● Strong proficiency in Python, with the ability to understand and write code.
● Good knowledge of statistical analysis.
● Experience working with SQL databases and data manipulation tools (Pandas, NumPy).
● Proficiency in Excel, with advanced skills preferred.
● Familiarity with data visualization tools such as Grafana or Redash is a plus.
● Strong analytical mindset and problem-solving skills.
● Excellent communication and interpersonal skills, with fluency in English.
● Ability to multitask on several projects at a time.
● Basic familiarity with reading Java code - an advantage.
Key Skills
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- Posted
- Apr 17, 2025
- Type
- Full-time
- Level
- Associate
- Location
- Ukraine
- Company
- ALLSTARSIT
Industries
Categories
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