Senior Analyst, Data Analytics

Standard Bank Group; Johannesburg; On-site; ZAR 450,000 - 600,000; Full time

Job summary

A leading financial services firm in Johannesburg seeks an experienced professional to support infrastructure and deliver business insights from data sources. The ideal candidate has 3-4 years in data monetisation and analytics, with strong skills in big data tools like Hadoop and Spark. Responsibilities include optimizing data pipelines and enhancing data initiatives.

Qualifications

• 3-4 years of experience in data monetisation and analytics.
• Experience with big data tools like Hadoop and Spark.
• Familiarity with data pipeline management tools (Azkaban, Airflow).

Responsibilities

• Support in providing infrastructure and tools for delivering solutions.
• Build scalable systems for data insights from raw sources.
• Optimize data flow and collection to support initiatives.

Skills

Data Monetisation

Data & Analytics

Data Analysis

Database Administration

Information Technology Architecture

Knowledge Classification

Education

First Degree in Information Studies

First Degree in Information Technology

Tools

Hadoop

Spark

Kafka

SQL

Postgres

Cassandra

AWS

EC2

Redshift

Python

Java

C++

Scala

Job description

Company Description

Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you.

Job Description

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, visualising 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.

Qualifications

Type of Qualification: First Degree

Field of Study: Information Studies

Type of Qualification: First Degree

Field of Study: Information Technology

Experience

• Data Monetisation
• Data & Analytics
• 3-4 years

Experience with big data tools: Hadoop, Spark, Kafka, etc.

Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.

Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.

Experience with AWS cloud services: EC2, EMR, RDS, Redshift.

Experience with stream-processing systems: Storm, Spark-Streaming, etc.

Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience building and optimizing \'big data\' data pipelines, architectures and data sets. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

Behavioral Competencies

• Adopting Practical Approaches
• Articulating Information
• Challenging Ideas
• Checking Things
• Examining Information
• Exploring Possibilities
• Interpreting Data
• Meeting Timescales
• Producing Output
• Providing Insights
• Team Working
• Upholding Standards

Technical Competencies

• Data Analysis
• Database Administration
• Data Integrity
• Information Technology Architecture
• IT Applications
• Knowledge Classification