We are seeking a skilled MIDDLE DATA ANALYST!
The ideal candidate should possess strong proficiency in SQL and Power BI. Knowledge of Apache Airflow and Apache Spark would be considered a significant advantage. The Middle Data Analyst will play a crucial role in data analysis, reporting, and potentially data pipeline management.
The ideal candidate should be a highly analytical individual with a strong background in SQL, Power BI, Apache Airflow, and Apache Spark. The Senior Data Analyst will extract insights from data, building data pipe lines, and creating meaningful visualizations to support data-driven decision-making.
- Bachelor's or equivalent degree in a related field (e.g., Computer Science, Data Science).
- Proven experience as a Data Analyst.
- Strong SQL skills with the ability to write and optimize queries.
- Proficiency in Power BI for creating reports and visualizations.
- Strong analytical and problem-solving skills.
- Effective communication skills.
- Ability to work collaboratively in a team.
- Attention to detail and a commitment to data accuracy.
- Knowledge of Apache Airflow and Apache Spark would be a significant advantage.
Qualifications
If you meet the qualifications and are passionate about data analytics, we'd love to hear from you! Please share your resume with us at hr@resurs.io
Data Analysis:
- Perform data analysis tasks, including data cleansing, transformation, and validation.
- Generate insights from data and create reports or dashboards.
- Perform data analysis tasks, including data cleansing, transformation, and validation.
- Generate insights from data and create reports or dashboards.
Key Responsibilities:
Additional Skills:
- Knowledge of Apache Airflow for workflow automation and orchestration.
- Familiarity with Apache Spark for distributed data processing and analysis.
- Knowledge of Apache Airflow for workflow automation and orchestration.
- Familiarity with Apache Spark for distributed data processing and analysis.
Power BI Expertise:
- Develop reports and visualizations using Power BI.
- Create data models and calculations to support business needs.
- Develop reports and visualizations using Power BI.
- Create data models and calculations to support business needs.
SQL Proficiency:
- Write SQL queries to retrieve, manipulate, and aggregate data from various sources.
- Optimize SQL queries for performance and efficiency.
- Write SQL queries to retrieve, manipulate, and aggregate data from various sources.
- Optimize SQL queries for performance and efficiency.
