Data analyst

Recruiter:

Mindworx Consulting

Job Ref:

JNB007511/LD

Date posted:

Thursday, July 14, 2022

Location:

Johannesburg, South Africa

JOB SUMMARY:
Support in providing infrastructure, tools and frameworks used to deliver end-to-end solutions to business problems. Build scalable infrastructure for supporting the delivery of business insights from raw data sources with a focus on collecting, managing, analysing, visualizing data and developing analytical solutions. Responsible for expanding and optimising the organisations data and data pipeline architecture, whilst optimising data flow and collection to ultimately support data initiatives

JOB DESCRIPTION:

Data

Assist in creating and maintaining optimal data pipeline architecture and creating databases optimized for performance, implementing schema changes, and maintaining data architecture standards across the required Standard Bank databases
Work alongside data scientists to help make use of the data they collect
Assemble large, complex data sets that meet functional / non-functional business requirements and align data architecture with business requirements
Assist in enabling and running data migrations across different databases and different servers and defines and implements data stores based on system requirements and consumer requirements
Assist in performing thorough testing and validation in order to support the accuracy of data transformations and data verification used in machine learning models
Perform ad-hoc analyses of data stored in Standard Banks databases and writes SQL scripts, stored procedures, functions, and views
Proactively analyses and evaluates the Standard
Banks databases in order to identify and recommend improvements and optimisation
Deploy sophisticated analytics programs, machine learning and statistical methods
Analyse complex data elements and systems, data flow, dependencies, and relationships in order to contribute to conceptual physical and logical data models

People

Liaise and collaborate with the entire EDO team, providing support to the entire department for its data centric needs
Collaborate with subject matter experts to select the relevant sources of information and translates the business requirements into data mining/science outcomes. Presents findings and observations to team for development of recommendations

Product

Utilise data under supervision to discover tasks that can be automated and identify, design, and implement internal process improvements, automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability
Designing and developing scalable ETL packages from the business source systems and the development of ETL routines in order to populate databases from sources and to create aggregates
Manager large-scale data Hadoop platforms and to support the fast-growing data within the business
Build analytics tools that utilise the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. Create data tools for analytics and data scientist team members that assist them in building and optimising Standard Bank into an innovative industry leader

Minimum Qualifications

Post Graduate Degree Information Studies
Post Graduate Degree Information Technology

Experience Required
Data & Analytics
Data Monetisation
3-4 years’ Experience with big

Data tools: Hadoop
Spark, Kafka
Experience with Relational SQL and Nosql databases, including Postgres and Cassandra
Experience with data pipeline and workflow management tools:
Azkaban, Luigi, Airflow,
Experience with AWS cloud services:
EC2, EMR, RDS,
Experience with stream-processing systems: Storm
Spark-Streaming
Experience with object-oriented/object function scripting languages: Python
Java, C++, Scala

Technical Competencies
Data Analysis

Ability to analyse statistics and other data, interpret and evaluate results, and create reports and presentations for use by others
Proficiency Level 3 SEASONED - Applies concepts without requiring supervision, able to provide technical guidance when required

Data Integrity

The ability to ensure the accuracy and consistency of data for the duration that the data is stored as well as preventing unintentional alterations or loss of data
Proficiency Level 3 SEASONED - Applies concepts without requiring supervision, able to provide technical guidance when required

Database Administration

Refers to the knowledge and experience required to manage the installation, configuration, upgrade, administration, monitoring, and maintenance of physical databases
Proficiency Level 3 SEASONED - Applies concepts without requiring supervision, able to provide technical guidance when required

IT Applications

Knowledge and understanding of IT applications and architecture
Proficiency Level 2 PROFICIENT - Clear knowledge and application of the concept

IT Architecture

Architectural methodologies used in the design & development of IT systems
Proficiency Level 2 PROFICIENT - Clear knowledge and application of the concept

Knowledge Classification

The ability to apply metadata to information to make it easy for other people to find
Proficiency Level 2 PROFICIENT - Clear knowledge and application of the concept

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