We are seeking an experienced SENIOR DATA ANALYST!
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.
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.
- 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.
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:
- 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.
- 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.
Key Responsibilities:
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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Write complex SQL queries to retrieve, manipulate, and aggregate data from various data sources.
- Optimize database queries for performance and efficiency.
