Data Analyst

We are currently seeking a skilled and motivated Data Analyst with experience in Azure to join our dynamic team. As a Data Analyst, you will play a key role in extracting insights from large datasets, analyzing data trends, and providing valuable business intelligence to drive data-driven decision-making.

Responsibilities:

Gather, clean, and transform data from various sources into usable formats for analysis.

Perform data exploration, visualization, and statistical analysis to identify patterns, trends, and correlations.

Develop and implement data models, algorithms, and statistical methodologies to extract meaningful insights.

Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.

Build and maintain data dashboards, reports, and visualizations to effectively communicate findings.

Identify opportunities for process improvement and optimization based on data analysis.

Stay up-to-date with industry trends, tools, and best practices in data analysis and Azure technologies.

Requirements:

Bachelor’s degree in a relevant field such as Data Science, Statistics, Computer Science, or a related discipline.

Proven experience as a Data Analyst, preferably with hands-on experience using Azure services and tools.

Strong understanding of data analysis concepts, methodologies, and statistical techniques.

Proficiency in SQL for data extraction, manipulation, and analysis.

Experience with data visualization tools such as Power BI or Tableau.

Familiarity with programming languages such as Python or R for data analysis and scripting.

Knowledge of Azure services such as Azure Data Lake, Azure SQL Database, Azure Machine Learning, or Azure Databricks.

Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights.

Excellent communication skills to effectively present and communicate findings to non-technical stakeholders.

Preferred Qualifications:

• Master’s degree in a relevant field.
• Azure certifications related to data analytics or data engineering.
• Experience with big data technologies and frameworks such as Hadoop or Spark.
• Knowledge of data governance, data quality, and data integration principles.
• Experience with data warehousing and ETL processes.

The salary for this position will be competitive and commensurate with experience, with a range of 100,000 to 140,000.

EEO – We are committed to fostering a diverse, inclusive, and welcoming workplace where all employees can contribute to their fullest potential.