Data Analytics Engineer

Data Analytics Professional

Key Responsibilities:

• Analyze structured and unstructured data to extract actionable business insights.
• Design and maintain reports, dashboards, and data visualizations using tools like

  Power BI or Tableau, or Looker

  .
• Hands on Experience in Azure Synapse and Databricks.
• Work with cross-functional teams to identify business needs and deliver analytics solutions.
• Develop and maintain automated data pipelines for reporting and analytics.
• Perform advanced statistical analyses and predictive modeling where applicable.
• Translate complex data into easy-to-understand formats for both technical and non-technical audiences.
• Ensure data integrity, consistency, and quality across all reporting sources.
• Monitor and improve key business metrics through analytical techniques.

Required Skills & Qualifications:

• 5+ years of experience in

  data analysis, business intelligence, or analytics

  roles.
• Strong proficiency in

  KQL, SQL

  , Excel, and at least one programming language (

  Python, R

  ).
• Experience working with large datasets and data visualization tools (

  Power BI, Tableau, etc.

  ).
• Understanding of statistical methods, data modeling, and forecasting.
• Excellent problem-solving skills with strong attention to detail.
• Strong communication and presentation skills.

Preferred Qualifications:

• Experience with

  cloud data platforms

  such as

  Azure.

• Familiarity with

  machine learning

  techniques and tools.