Technical Data Analyst responsibilities: Requirement understanding: work together with our data analysts to understand the requirements and translate them into technical specifications that will serve the development process. Data elements definition: document the required data elements, their attributes, relationships, and interactions (including with existing data). Data modelling: design optimal data models that accurately reflect business requirements, ensuring optimized data flows, data integrity and consistency. Implementation: based on the data models defined above, work with Data Management team to build the processes that will deliver the data. Build the draft extracting scripts. Testing and Validation:
test that the data delivered is accurate and complete. Create testing scenarios and actively participate in functional testing. Documentation: maintain robust documentation for the entire process, including high-level business requirements, functional specifications, data mapping and process maps. Safeguarding the consistency and quality of data: work with data governance roles on data quality, data lineage, data privacy, data security, and other relevant aspects of data. Performance&Calibration: continuously monitor the performance of the data infrastructure and proactively take actions to improve the performanceTransform data:
work together with the Data Analysts Team and Visualization Layer Team to implement automated data transformation for improving efficiency in the delivery zone. Job Requirements: Bachelor’s degree in computer science, similar field of study or relevant working experience. Minimum 2 years demonstrable experience with the responsibilities described above. Hands-on experience working with SQL and databases other data technologies is expected. Knowledge of and experience in data management, data modelling and data warehouse technology is a plus. Knowledge of Python and other data transformation software/technologies is a plus. Well-structured and organized working methodology.
“Take it on and make it happen” attitude. Strong conceptual and analytical skills, detail oriented. Experience with Agile methodologies. Hands-on experience with data quality, data lineage, data security, data privacy, data lifecycle management, data issue remediation and other data-governance practices is a plus. Excellent communication skills, both verbally and in writing, to be able to align with various stakeholders on different levels. Experience with banking industry or financial institutions is a plus. 🌟 Why join us?Because we believe data should be fun, meaningful, and maybe even a little magical. Plus, we have coffee. And dashboards.
And a team that actually likes working together. Want to see what else we’re up to? Check out our careers page: 👉 https: //cariere. bancatransilvania. ro/
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