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OM Bank - Data Analyst

Old Mutual

This job is closed: the employer no longer lists it.

Skills

Required

  • Data Analytics
  • Power BI
  • SQL
  • data extraction and analysis
  • Python
  • Application Development

Preferred

  • creating reports and dashboards

We are rooted in our purpose of inspiring and enabling our customers to grow and sustain their prosperity.

About Old Mutual

  • Let's Write Africa's Story Together!
  • Old Mutual is a firm believer in the African opportunity and our diverse talent reflects this.
  • At OM Bank, we strive to attract great people who are passionate about coming together for a higher purpose, building something unique and aspirational, and always aiming to be the best they can be.

Responsibilities

  • This role is responsible for supporting data driven decision making across the business by analysing, interpreting, and reporting on data from various sources.
  • The successful candidate will work closely with business stakeholders to understand information needs, produce meaningful insights, and develop reporting solutions that help improve customer outcomes, business performance, and operational efficiency.
  • The Data Analyst will be responsible for collecting, preparing, and validating data, creating reports and dashboards, monitoring key performance indicators, and identifying trends and opportunities within the data.
  • The role requires strong analytical thinking, attention to detail, and the ability to communicate findings clearly to both technical and non technical audiences.
  • The successful candidate will contribute to building a culture of evidence based decision making by transforming data into actionable insights that support business objectives and strategic priorities.
  • This role offers an excellent opportunity to develop analytical, reporting, and stakeholder engagement skills within a fast growing and innovative banking environment.
  • KEY RESULT AREAS Data Analysis and Insights Analyse data from multiple sources to identify trends, patterns, risks, and opportunities.
  • Perform exploratory analysis to answer business questions and support decision making.
  • Translate data findings into clear and actionable business insights.
  • Reporting and Visualisation Develop, maintain, and enhance dashboards, reports, and scorecards.
  • Ensure reporting outputs are accurate, relevant, and aligned with business requirements.
  • Present findings in a clear and easy to understand manner for both technical and non technical audiences.
  • Data Collection and Preparation Collect, clean, validate, and prepare data for analysis and reporting purposes.
  • Assist in maintaining data quality by identifying inconsistencies, gaps, and anomalies.
  • Work with data owners to resolve data quality issues where required.
  • Business Requirements Support Engage with stakeholders to understand reporting and analytical requirements.
  • Translate business needs into reporting specifications and analytical outputs.
  • Support the development of measurement frameworks and key performance indicators.
  • Improvement through Analytics Support business teams by identifying opportunities for operational and customer experience improvements through data analysis.
  • Monitor business performance metrics and highlight significant changes or emerging trends.
  • Contribute to evidence based recommendations that support business objectives.
  • Data Governance and Controls Follow data governance, privacy, and security standards when handling data.
  • Ensure data used for reporting and analysis meets defined quality and compliance requirements.
  • Maintain clear documentation of reports, data sources, and business definitions.
  • Engagement Build positive working relationships with internal stakeholders.
  • Respond to reporting requests and provide analytical support to business users.
  • Assist in communicating analytical findings and recommendations to stakeholders.
  • Personal Capability Building Develop knowledge of analytical tools, reporting platforms, and banking products.
  • Stay informed about emerging trends and best practices in data analytics and business intelligence.
  • Participate in training and continuous learning opportunities to build analytical capability.

Requirements

  • REQUIREMENTS Relevant qualification in Data Analytics, Statistics, Mathematics, Computer Science, Information Systems, Economics, Finance, or a related field.
  • Preferably Bachelors Degree.
  • 1 to 2 years experience in a Data Analyst, Reporting Analyst, Business Intelligence Analyst, or similar analytical role.
  • Experience working with Power BI.
  • Experience using SQL for data extraction and analysis.
  • Exposure to Python, R, or other analytical tools would be advantageous.
  • Action Planning, Application Development, Business Requirements Analysis, Computer Literacy, Data Compilation, Data Controls, Data Management, Data Modeling, Executing Plans, Gap Analysis, IT Network Security, Management Reporting, Market Analysis, Policies & Procedures, User Requirements Documentation Competencies Action Oriented Collaborates Cultivates Innovation Customer Focus Drives Engagement Drives Results Manages Ambiguity Manages Complexity Education Closing Date 05 November 2026 , 23:59 The appointment will be made from the designated group in line with the Employment Equity Plan of Old Mutual South Africa and the specific business unit in question.

Preferred

  • Experience within the banking or financial services industry would be advantageous.

The Old Mutual Story!