Data Analyst

Description

Job Summary: We are seeking a Data Analyst to serve as a strategic driver within a financial holding, transforming raw data into valuable assets with a focus on data engineering and business intelligence. Key Highlights: 1. Act as a strategic driver for decision-making in a financial holding. 2. Transform raw data into strategic assets within an AWS environment. 3. Collaborate with stakeholders to define and monitor KPIs. **About the Opportunity** Do you want to be the right-hand partner for the strategy of a multisegment financial holding? The Data team is not merely support—it is the engine behind decisions. We seek a **Data Analyst** with strong technical expertise who can seamlessly bridge data transformation engineering and business intelligence analysis. If you master the modern data ecosystem (**advanced SQL, dbt, Airbyte**) and aim to transform raw data into strategic assets within an **AWS** environment, this is your place. **Your Key Responsibilities** * **Data Modeling:** Develop, document, and maintain models in **dbt/SQL** (Dev, Staging, Prod), ensuring traceability and version control. * **Data Quality:** Implement automated tests to ensure maximum reliability of the holding’s KPIs. * **Pipeline Architecture:** Monitor ETL/ELT workflows, ensuring resilience in API consumption and data ingestion via **Airbyte**. * **Governance and Catalog:** Keep model and field documentation consistently up-to-date, adhering to strict naming conventions. * **Business Intelligence:** Translate complex business requirements into automated dashboards and reports in **Metabase**. * **Strategic Partnership:** Collaborate with stakeholders to define and monitor operational and financial KPIs. **What You Need (Mandatory Requirements)** * **Education:** Bachelor’s degree in Engineering, Computer Science, Statistics, Information Systems, or related fields. * **SQL Proficiency:** Advanced professional experience (CTEs, window functions, query optimization). * **dbt Experience:** Practical hands-on experience with models, tests, and documentation. * **Data Manipulation:** Experience with ETL/ELT processes and relational databases (**PostgreSQL**). * **Python:** Knowledge for data manipulation, API consumption, and basic automation. * **Version Control:** Proficiency in Git/GitHub. **What Impresses Us (Nice-to-Haves)** * **Metabase:** Practical experience with the tool (a highly relevant advantage). * **Cloud:** Familiarity with the **AWS** environment (our primary stack). * **Data Ingestion:** Knowledge of **Airbyte** or similar tools. * **Methodologies:** Familiarity with Agile methodologies.