Data Analyst Databricks Azure Functions Kusto

Conducts analyses of data using various methods and tools to extract information as basis for decision making

What are my responsibilities?

As a Data Analyst, you are required to:

• Acquire data from primary or secondary data sources and maintain databases/data systems
• Operate and optimize pre-defined tools, applications and data bases/data management systems
• Process, manage, extract and cleanse data to apply Data Analytics in a meaningful way
• Apply analytics tools, models to derive insights from the data.
• Create reports and communicate results to various internal and/or external stakeholders (e.g. management, customers)
• Regularly scan the Data Analytics landscape to stay up to date with latest technologies, techniques, tools and methods in this field
  
  

Qualification: Bachelors or Masters in Computer Science & Engineering. Additional course(s) on data analytics topics is preferred.

Experience level: Minimum 5-8 years in software development with at least 3 years hands-on experience in the area of Data analytics.

Desired Knowledge & Experience:

• Data analytics, data preprocessing, modeling, data visualization, data synthesis, simulation.
• Working with data from different sources for example, machine Logs, file formats – e.g., Parquet
• Experience in representing data in Graph Formats, usage of tools like Neo4J
• Programming:
• Language: Python, PySparc.
• Libraries: Pandas, NumPy, SciPy, Data bricks.
• Tools:
  
  

Experience in the following:

• Databricks (Python):
  
  

Hands-on experience with Databricks for data processing, scripting, and developing solutions using Python.

• Azure Functions (C# Parser Development):
  
  

Ability to develop and maintain parser functions in Azure Functions using C#.

• Azure Data Explorer (Kusto):
  
  

Proficient in Azure Data Explorer and skilled in writing and optimizing Kusto Query

Language (KQL) queries.

• Experience in creating dashboards, visualizations.
• Knowledge & experience in Healthcare domain, is preferred
• Knowledge of Agentic AI is additional advantage.
  
  

Required Soft-skills & Other Capabilities:

• Team Orientation:
  
  

Actively contributes to a collaborative team environment and supports joint problem-solving.

• Independent Work Style:
  
  

Able to manage tasks independently, prioritize effectively, and deliver results with minimal supervision.

• Systematic Thinking:
  
  

Approaches problems with structured, analytical reasoning and helps deliver scalable, maintainable solutions.

• Willingness to Learn
  
  

Open to acquiring new knowledge and adapting to evolving technologies and processes.

• Communication skills: Adequate communication skills in order to explain your work to people who dont understand the mechanics behind data analysis
• Proactive Communication:
  
  

Communicates clearly, raises issues early, and maintains transparency within the team.

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