- BS or MS in a related field (e.g., Data Science, Computer Science, Statistics).
- Proven experience as a Data Analyst (SQL, Power BI, Apache Airflow, and Apache Spark.)
- Strong SQL skills with the ability to write complex queries.
- Proficiency in Power BI for creating interactive reports and dashboards.
- Hands-on experience with Apache Airflow for workflow automation and orchestration.
- Familiarity with Apache Spark for distributed data processing and analysis.
- Excellent analytical and problem-solving skills.
- Strong communication and data visualization skills.
- Prior experience in data governance and data quality is a plus.
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:
- Conduct in-depth data analysis to identify trends, patterns, and anomalies in large datasets.
- Perform data cleansing, transformation, and validation to ensure data accuracy and consistency.
Continuous Learning:
- Stay up-to-date with the latest developments in data analytics, SQL, Power BI, Apache Airflow, and Apache Spark.
- Proactively recommend and implement improvements in data analytics processes.
Collaboration:
- Work closely with cross-functional teams, including data engineers, data scientists, and business stakeholders, to understand data requirements and deliver valuable insights.
Data Governance:
- Ensure data quality, integrity, and security standards are maintained.
- Collaborate with data engineers to design and implement data governance policies.
Data Visualization:
- Communicate data insights effectively through data visualizations, charts, and graphs.
- Translate complex data into actionable insights for stakeholders.
Apache Spark:
- Utilize Apache Spark for distributed data processing and analysis.
- Implement Spark-based solutions to handle large-scale data transformations and analytics.
Apache Airflow:
- Design, schedule, and monitor data pipelines using Apache Airflow.
- Ensure data pipelines are reliable, scalable, and meet SLAs.
Power BI Expertise:
- Develop interactive and visually appealing reports and dashboards using Power BI.
- Create data models, relationships, and calculations to support business requirements.
SQL Proficiency:
- Write complex SQL queries to retrieve, manipulate, and aggregate data from various data sources.
- Optimize database queries for performance and efficiency.