Senior IT Data Analyst

Overview

Job Description
Position Description :

Implements data modelling and automation using Artificial Intelligence (AI) and Machine Learning (ML) models for descriptive and predictive analysis in the data lakes at the enterprise level. Represents a direct continuation of the Data and Reporting platform, cloud capability development and modernization initiatives. Applies knowledge of data domains and source systems for numerous business functions. Applies hands-on experience building and enabling platforms, databases and data migration tools.

Provides data solutions using SQL, Python, Jira/Jira Align, Domo and Technology Management Data Lake. Enforces data quality controls using automated processes to establish analytic standards, best practices, and influence strategic decisions. Builds viable data solutions using data management and modeling best practices using Data Lakes and Cloud data platforms – Snowflake. Uses understanding of the different domain concepts, brokerage services into the data analysis.

Deals with complex datasets generated by applications to build and upgrade the data models. Defines use cases and simplifies complex concepts for data quality control. Captures business requirements and translates them to data solutions. Draws on in-depth knowledge of the business or function to provide business unit-wide solutions.

• Develops analytic plans and strategies.
• Creates and enhances the dimensional data modelling and rule-based framework.
• Creates, deploys and maintains the semantic layer between Data model and BI reporting.
• Conducts highly sophisticated data analysis.
• Provides guidance and lead the squad to more effective quality data model.
• Coordinates with stakeholders and cross-squad team, analysts to represent the squad.
• Gather requirements, analyze the data architecture and convert it into proper deliverable or made the data engineers to understand and implement.
• Creates descriptive model and then predictive modelling using AI/ML algorithm.
• Onboard data consumers to use the deployed data model across enterprise and implement their requirement.
• Delivers actionable insights to facilitate strategic business planning and decision-making.
• Engages in improvements and changes in strategy and business analytics practices in the areas of analytics methodologies, data model structures, and reporting designs.
• Streamlines data operations and influences the production of reporting and analysis compilation.
• Identifies, reviews, defines, and interprets work in terms of business and systems requirements and processes.
• Defines user stories and validates the impact of changes to datasets and models.
• Manages data quality within an Agile environment.
• Performs data analysis and profiling.
• Defines robust test scenarios to deliver scalable and high performing data solutions.
• Consults on the development and delivery of major technology initiatives for the business unit.
• Consults on the deployment of major project deliverables.

Bachelor’s degree (or foreign education equivalent) in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Information Management, or a closely related field and three (3) years of experience as a Senior IT Data Analyst (or full stack engineering or closely related occupation) performing data analysis and modeling using SQL, PL/SQL, and Python in a financial and brokerage services domain.

Or, alternatively, Master’s degree (or foreign education equivalent) in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Information Management, or a closely related field and One (1) year of experience as a Senior IT Data Analyst (or full stack engineering or closely related occupation) performing data analysis and modeling using SQL, PL/SQL, and Python in a financial and brokerage services domain.

Candidate must also possess:

• Demonstrated Expertise (“DE”) analyzing, evaluating, and creating data objects for the data models in Oracle SQL, MySQL, Postgre
  
  SQL, and Snowflake by transforming the raw data into clean object; performing data…