Data Analyst

Old Mutual South Africa; Cape Town; On-site; ZAR 320,000 - 520,000; Full time

Job summary

Old Mutual South Africa in Cape Town is seeking a Data Analyst to collect, analyse, report and interpret data to support business strategies and performance reviews.

You will explore data, build dashboards and reports to answer business questions for the Mass Foundation Cluster, and advise on improving data quality and analytics approaches.

A Bachelor's degree in a data field, 1–2 years' experience, and proficiency in Excel, Alteryx, SQL and Power BI are required; certifications are advantageous.

Qualifications

• Matric and a relevant bachelor’s degree in data-related fields.
• 1–2 years’ experience in data analysis, reporting or BI.
• Proficiency in Excel, Alteryx, SQL and Power BI is required; certifications are advantageous.

Responsibilities

• Collect business requirements using interviews and workshops to define goals.
• Explore and manipulate data to identify themes and trends using BI tools.
• Support advanced analytics and interpret results to inform decisions.
• Build dashboards and reports to answer business questions.
• Educate stakeholders on data methods to improve quality and analytics.

Education

Bachelor's degree in Data Analytics, Statistics, Mathematics, Information Systems, Computer Science, Economics or related field

Tools

Power BI

SQL

Excel

Alteryx

Job description

Let's Write Africa's Story Together!

Old Mutual is a firm believer in the African opportunity and our diverse talent reflects this.

Job Description

You will form part of the Mass Foundation Cluster which is one of the largest customer-facing business segments in Old Mutual. Our vision is to be our customers' most trusted financial partner, passionate about helping them achieve their lifetime goals. Our mission is to enable positive futures for our customers, by bridging the gap between their resources and their financial service’s needs. Our primary goal is to facilitate access to financial solutions for our customers and to keep pace with their changing needs. Our target market is the low and emerging-middle income segment.

The Data Analyst role will collect, analyse, report, and interpret data for use in the development of business strategies and tactics and in subsequent appraisal of results.

Responsibilities

Business Requirements Identification

• Collect business requirements using a variety of methods such as interviews, document analysis, workshops, and workflow analysis to express the requirements in terms of target user roles and goals, in order to garner the "why" of the requirements and the benefits of such requirements.

Data Exploration & Manipulation

• Conduct research and select relevant information to enable testing, experimental adjustment and analysis of key themes and trends using primary data sources and business intelligence tools, to perform data manipulation and descriptive data analysis.

Advanced Analytics

• Support interpretation of advanced analytics data, using specialized software tools and functionalities to support business requirements.

Performance Improvement through Business Intelligence

• Make recommendations to improve data and analytics systems and platforms, contributing to the continuous improvement and refinement of data and analytics strategy by performing root cause analyses.

Insights and Reporting

• Contribute to the preparation of various data and analytics reports. Builds dashboards and reports to help answer business questions.

Data Architecture

• Consult and educate stakeholders on methods for streamlining and standardizing data recording to ensure quality and accuracy.

Data Collection and Analysis

• Collate and analyze data using preset tools, methods, and formats. Involves working independently.

Personal Capability Building

• Develop own capabilities by participating in assessment and development planning activities as well as formal and informal training and coaching; gain or maintain external professional accreditation where relevant to improve performance and fulfill personal potential.
• Maintain an understanding of relevant industry best practices, business acumen, and broadening of individual skills such as presentation, communication and visualisation, through ongoing education, attending conferences, and reading specialist media.

Requirements

• Matric.
• Bachelor's degree in Data Analytics, Statistics, Mathematics, Information Systems, Computer Science, Economics or related field.
• Microsoft Power BI and SQL Certifications (Advantageous).
• 1- 2 years' experience in data analysis, reporting, or business intelligence.
• Proficiency in Excel, Alteryx, SQL and Power BI required.
• Knowledge of data visualization, reporting, database concepts, and statistical analysis techniques preferred.
• Experience within financial services, collections, payments, customer operations, or contact centre environments will be advantageous. Strong analytical, problem-solving, and communication skills are essential.

Skills

Advanced Analytics, Alteryx, Data Analysis, Data Reporting, Managing Execution, Microsoft Excel, Proficiency in Power BI, Structured Query Language (SQL)

Competencies

• Action Oriented
• Collaborates
• Cultivates Innovation
• Customer Focus
• Drives Engagement
• Drives Results
• Manages Ambiguity
• Manages Complexity