Senior Data Analyst

Unifi Africa (Pty) Ltd; Stellenbosch; On-site; ZAR 600 000 - 900 000; Full time

Job summary

A leading company in Africa is seeking a Senior Data Analyst to analyse complex datasets and create insightful visualisations. The role involves collaborating with stakeholders to support data-driven decision-making and enhance operational efficiency. Ideal candidates should have extensive experience with GCP, SQL, and data visualisation tools. This position offers an exciting opportunity to contribute to the growth of the African market.

Qualifications

• Minimum 5+ years of experience as a Senior Data Analyst.
• Proficiency in data analysis tools and techniques.

Responsibilities

• Collect, extract, and compile data ensuring accuracy.
• Perform exploratory data analysis to identify trends.
• Create visualisations and reports using Google Looker.

Skills

Analytical Skills

Problem-Solving

Communication

Education

Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, Data Analytics/Science

Tools

GCP (Google Cloud Platform)

Google BigQuery

SQL

Python

Google Looker

Microsoft Excel

Job description

Unifi is redefining credit in Africa with simple, fast personal loans delivered through online, mobile and branch channels. We make life easy for thousands of clients across Zambia, Kenya, Uganda and South Africa. Unifi has conviction in the African continent and its people, and our products enable our clients to achieve even more. As one of the fastest-growing lenders in East Africa, we combine exceptional client service with the very best tech and data analytics.

Unifi is recruiting a Senior Data Analyst with experience in GCP (Google Cloud Platform) and its products like Looker and BigQuery. In this role, you will analyse complex data sets, create insightful visualisations, and work closely with stakeholders to develop solutions that support data-driven decision-making. You will be responsible for extracting insights, identifying trends, and presenting findings to enhance operational efficiency and optimise business processes. The ideal candidate is analytically skilled, self-driven, adaptable to an unstructured management environment, and passionate about African business, with a sense of adventure and humour.

Responsibilities

Data Collection and Cleaning:

• Collect, extract, and compile data from various sources, ensuring accuracy and completeness.
• Clean and transform raw data into structured datasets for analysis.
• Identify and resolve data quality issues, inconsistencies, and anomalies.
• Utilise technologies such as SQL, SAS, Python, and BigQuery while staying up-to-date with the latest trends and developments in data analytics.

Data Analysis and Interpretation:

• Perform exploratory data analysis to identify trends, patterns, and relationships within the data.
• Apply statistical techniques and data visualisation methods to interpret and present findings.
• Analyse large, complex datasets to derive actionable insights and recommendations.
• Collaborate with stakeholders to understand business requirements and translate them into analytical approaches.

Reporting and Visualisation:

• Create visualisations, dashboards, and reports using Google Looker to effectively communicate data insights to stakeholders.
• Develop and maintain standardised reporting templates and data visualisation tools.
• Present findings in a clear and concise manner, tailoring the information to the needs of the audience.

Data-driven Decision Making:

• Collaborate with cross-functional teams to support data-driven decision-making processes.
• Provide analytical support for business initiatives, including market analysis, customer segmentation, and performance tracking.
• Identify opportunities for process improvement, operational efficiency, and revenue optimisation through data analysis.

Data Governance and Security:

• Ensure compliance with data governance policies, data protection regulations, and security protocols.
• Adhere to data privacy and confidentiality standards when handling sensitive information.
• Contribute to the development and maintenance of data dictionaries and documentation.

Continuous Learning and Development:

• Stay updated on industry trends, best practices, and emerging technologies in data analysis.
• Expand knowledge of statistical techniques, data modelling, and data visualisation tools.
• Participate in training programs, workshops, and professional development opportunities.

Requirements

• Bachelor's or Master's degree in a relevant field (e.g., Mathematics, Statistics, Computer Science, Data Analytics/Science).
• Proven experience as a Senior Data Analyst or similar role with a minimum of 5+ years of experience.
• Proficiency in data analysis tools such as GCP (Google Cloud Platform), Google BigQuery, SQL, Python, and data visualisation tools like Google Looker.
• Strong analytical and problem-solving skills with keen attention to detail.
• Ability to handle and analyse large datasets efficiently.
• Experience with statistical analysis techniques and data modeling.
• Excellent communication and presentation skills.
• Proficiency in Microsoft Excel and other data manipulation tools.
• Familiarity with data governance principles and best practices.
• Knowledge of data privacy regulations and compliance standards is a plus

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