**Overview and Responsibilities:** The Data Analyst is responsible for transforming data into actionable insights to support strategic and operational decision-making within the organization. This role integrates analytical, visualization, analytical modeling, and business domain skills to generate insights, develop predictive models, and build BI solutions that drive efficiency and results. **Key Responsibilities:** * Data Analysis and Insight Generation * Building Analytical and Predictive Models * Business Intelligence (BI) * Data Modeling and Preparation * Data Management and Quality * Query Optimization and Performance Tuning * Collaboration with Key Teams * Innovation and Continuous Improvement **Core Competencies:** * Analytical Thinking: Ability to break down complex problems and derive data-driven solutions. * Communication: Ability to explain findings to both technical and non-technical audiences. * Self-Motivated Learning: Quickly learn new tools, methodologies, and approaches. * Collaboration: Teamwork with cross-functional departments. * Attention to Detail: Precision in analysis, metrics, and modeling. * Business Acumen: Ability to connect data with strategic objectives. **Experience**: 4 years of experience in similar roles. **Knowledge / Skills:** * Knowledge of descriptive and inferential statistics. * Experience building predictive models. * Experience with Business Intelligence (BI) tools. * Experience querying relational and NoSQL databases. * Familiarity with analytics services on AWS or GCP. **Desirable Certifications:** AWS Certified Data Analytics and Big Data certifications. **Skills:** **Technical Knowledge and Skills:** * **Relational and Non-Relational Databases:** MySQL, PostgreSQL, MongoDB, ElasticSearch. * **Data Processing:** Apache Spark, Hadoop, Flink, Kafka, Airflow. * **Business Intelligence:** Power BI * **ETL/ELT Data Pipelines:** Apache NiFi, Talend, Informatica, Pentaho. * **Cloud and Big Data:** AWS (Redshift, Glue, EMR), Google Cloud (BigQuery, Dataflow). * **Programming and Scripting Languages:** Python, Java, SQL, and Typescript. * **Data Integration Tools:** Apache Kafka, RabbitMQ. * **Data Modeling:** Experience designing data models (OLAP, OLTP) and data normalization/denormalization. #### **Competencies:** * Solving Complex Problems * Attention to Detail * Time and Project Management * Effective Communication * Teamwork * Curiosity and Continuous Learning **Some Benefits:** * Hybrid work model. * Additional vacation days. * Time off on special dates. * Excellent work environment. * + Some benefits are subject to terms and conditions.