Full Stack Data Specialist

Unifi Africa; Stellenbosch; On-site; ZAR 600 000 - 800 000; Full time

Job summary

A fast-growing finance and technology company in South Africa is seeking a Full Stack Data Specialist. The role involves data collection, analysis, and visualisation to support data-driven decisions. Ideal candidates are analytically skilled with experience in GCP and strong communication abilities.

Qualifications

• Minimum of 5+ years of experience as a Full Stack Data Specialist.
• Proficiency in data analysis tools and techniques.

Responsibilities

• Collect, extract, and compile data from various sources.
• Create visualisations, dashboards, and reports using Google Looker.
• Collaborate with cross-functional teams for data-driven decision-making.

Skills

Analytical Skills

Problem-Solving

Communication

Education

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

Tools

GCP

Google BigQuery

SQL

Python

Google Looker

Microsoft Excel

Job description

Unifi is a fast-growing finance and technology company operating in Zambia, South Africa, Uganda and Kenya. Unifi delivers personal lending products through online, mobile phone and branch channels. The company is well supported by strong shareholders and a board of directors with vast experience in entrepreneurship and lending.

Unifi is recruiting a Full Stack Data Specialist 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.

Learn more about Unifi at:

www.unifi.credit/about

https://www.youtube.com/watch?v=vl32BzxAHfA&t=26s

https://www.youtube.com/watch?v=_Gf1ZiFpfSc&t=188s

What you will be doing:

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.

What you must have:

• Bachelor's or Master's degree in a relevant field (e.g., Mathematics, Statistics, Computer Science, Data Analytics/Science).
• Proven experience as a Full Stack Data Specialist 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