Lead - Data Analyst

Job Purpose:

To lead and own the Data platform for a Business vertical

Experience

With overall experience between 10 - 15 years, applicant must have minimum 7 years of hard core professional experience in data modeling for large Data Warehouse with multiple Sources.

Technical Skills

• Expertise in core skill of data modeling principles/methods including conceptual, logical & physical Data Models
• Ability to utilize BI tools like Power BI, Tableau, etc to represent insights
• Expert knowledge of metadata management, data modeling tools like ER Studio, Erwin or others.
• Hands-on experience in relational, dimensional and/or analytical modelling (using RDBMS, dimensional, NoSQL, ETL and data ingestion protocols).
• Good to have knowledge of - 
  • Azure powershell scripting or Python scripting for data transformation in ADF
  • SSIS, SSAS, BI tools like Power BI
  • Azure PaaS components like Azure Data Factory, Azure Data Bricks, Azure
  • Data Lake, Azure Synapse (DWH), Polybase, ExpressRoute tunneling, etc.
  • API integration

Responsibility

• Front face with business representatives to understand the data office requirements
• Understanding the business requirement, .translate them into data requirement, articulate the requirement to the ta engineers, build the data models for business consumption.
• Work with development team to implement the proposed data model into physical data model, build data flows
• Work with development team to optimize the database structure with best practices applying optimization methods.
• Analyze, document and implement to re-use of data model for new initiatives.
• Will interact with stakeholder, Users, other IT teams to understand the eco system and analyze for solutions

Qualifications

• Bachelors of Computer Science or Equivalent
• Should have certification done on Data Modeling and Data Analyst.
• Good to have a certification of Azure Fundamental and Azure Engineer courses (AZ900 or DP200/201)

Behavioral Competencies

• Should have excellent problem-solving and time management skills
• Strong analytical thinking skills
• Applicant should have excellent communication skill and process oriented with flexible execution mindset.
• Strategic Thinking with Research and Development mindset.
• Clear and demonstrative communication
• Efficiently identify and solves issues
• Identify, track and escalate risks in a timely manner