Senior Data Analyst

 

Recruiter:

H2R Africa

Job Ref:

SDA

Date posted:

Monday, April 11, 2022

Location:

Johannesburg, South Africa

Salary:

Market related


SUMMARY:
Minimum 5 years in a data-centric environment working in either SQL Data-Warehousing, Analytics or

JOB DESCRIPTION:

SENIOR DATA ANALYST

The Senior level data analyst will be responsible for building, optimizing, and maintaining conceptual and logical data models to ingest and curate data from source systems into an Azure data lake. The models must comply with the governance and requirements of the Central Data Platform

The Senior Data Analyst will have a key role to interface with business users to understand the data requirements and must further interface with the CDP data architecture and modelling teams to ensure unified data models

Develop Logical and physical data models

Conformance of date models to CDP enterprise data model

Adherence to data architecture standards

Adherence to data governance standards.
Serve as an interface between business analysts and
technical teams.
Provide input to technical implementation documents for all levels of curation from Level 0 to Level 4.
Assist with testing and validation of data ingestion pipelines

Minimum 5 years in a data-centric environment working in either SQL Data-Warehousing,
Analytics or as a dedicated Data-Modeller.
· Above average TSQL and SQL server skills.
· Logical, and Physical Data-Modelling Expertise.
· Experience with Forward and Reverse Engineering of Existing Databases.
· Good understanding of Star Schemas, Snowflake Schemas, and Kymbal Methodology.
· Skilled at formulating Dimensions, measures and attributes and building multi-dimensional
models.
· Experienced with metadata-modelling.
· Experience with Data-Governance principles and Data-Cleansing.
· Experienced at key-formulation: primary keys, foreign-keys, alternate-keys, surrogate-keys,
indexes, delta-control.
· Experience of working with Data-Modelling tools.
· Some exposure to Cloud computing.
· Exposure to mining production and operations data would be beneficial

 

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