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Fraktional.dev is seeking a Data Analyst with a strong foundation in Python development and data-driven decision-making. You will build backend services and APIs, collaborate with stakeholders, and design scalable data-centric architectures.
The role emphasizes translating business requirements into technical specs, crafting robust database solutions, and ensuring code quality through comprehensive testing. A Bachelor's degree and experience with Python ecosystems are required.
Driven by a passion for uncovering insights from data and transforming raw information into actionable strategies, enthusiastic about applying analytical skills to contribute meaningfully as a Data Analyst. With a solid foundation in statistical analysis, data manipulation, and visualization techniques.
Software Development: Write clean, maintainable, and efficient code in Python according to best practices. Develop backend services, APIs, and web applications using Python-based frameworks such as Django, Flask, or FastAPI.
Requirements Analysis: Collaborate with stakeholders to gather and analyze requirements for new features or enhancements. Translate business requirements into technical specifications and design solutions that meet user needs.
System Architecture: Design scalable and high-performance software architectures for Python-based applications. Architect solutions that are modular, reusable, and extensible, considering factors such as scalability, security, and maintainability.
Database Management: Design and implement database schemas, queries, and optimizations for relational and non-relational databases like MySQL, PostgreSQL, MongoDB, etc. Ensure data integrity, consistency, and security in database operations.
Testing and Debugging: Write unit tests, integration tests, and end-to-end tests to ensure the reliability and correctness of software components. Debug and troubleshoot issues in existing codebases, identifying and resolving bugs in a timely manner.