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ClosedPosted 14 days agoWe saw it 7 min after it went up

Data Analyst, Stanbic IBTC Asset Management

Standard Bank Group100 open roles

Where
Lagos, LA, Nigeria
Work mode
On site

This posting closed on 2026-10-25. 100 other Standard Bank Group postings are live.

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Still open, like this oneLive
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  4. Banker, Business3d agoStandard Bank Group · Sagamu, Ogun, Nigeria

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. Standard Bank Group postings stay open a median of 7 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 14 days ago

Standard Bank Group median: 7 days open

The posting

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

To provide data-driven insights that support the growth, optimization and performance of BluNest and other Digital Platforms through customer analytics, segmentation and product performance monitoring, while developing targeted, insight-led customer engagement communications and campaigns aimed at driving sales, revenue growth, customer acquisition, product adoption, engagement, retention and conversion. Monitor platform KPIs and growth metrics.Analyse investment product performance and adoption trends.Maintain dashboards tracking customer activity and conversion funnels.

Qualifications

Type of Qualification: First Degree

Field of Study: Statistics, Mathematics, Economics, Computer Science, Data Science, Engineering or related discipline.

  • 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.
  • Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. A successful history of manipulating, processing and extracting value from large disconnected datasets. Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
  • 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.

Additional Information

Behavioural 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

Posting text belongs to the employer. Removal requests: contact us.

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