Senior Data Analyst

Job Descriptions:

Analyzing and translating business needs into long-term solution data models.

Evaluating existing data systems.

Working with the development team to create conceptual data models and data flows.

Developing best practices for data coding to ensure consistency within the system.

Reviewing modifications of existing systems for cross-compatibility.

Implementing data strategies and developing physical data models.

Updating and optimizing local and metadata models.

Evaluating implemented data systems for variances, discrepancies, and efficiency.

Troubleshooting and optimizing data systems.

Design logical and physical data-models normalizing unstructured mainframe data into OLTP schema.

Create SAS coding and conversion standards.

Document all source-to-target data mapping for the EDW.

Involve in the data model changes in XML format.

Generate XML structures as a part of the JSON design.

Technical Skills

Business Information Glossaries – Azure Data Catalogue, Business Objects

Cloud Computing Services –MS Azure

Distributed Systems –Databricks, Spark,

ETL Tools – Alteryx, Azure Data Factory, Power BI Dataflows,

Graph Databases –Azure Cosmos,

NoSQL Document Stores – Apache, Elastic Search, MongoDB, SharePoint

Programming Languages – .Net, C#, C++, CSS, HTML5, Java, Node.js, PowerShell, Python

Relational SMP Databases – Azure SQL PaaS, MySQL or SQL Server

MUST HAVE - Azure Databricks (Apache Spark), SSRS, Azure SQL PaaS , Knowledge on Azure and

Azure DevOps. One of the programming language preferably Python