Fresh Jobs at Unifi Group

Role Purpose

• To help grow our software platform, Unifi is looking for a talented Java Developer to join our small, highly motivated software development team. From requirements gathering to final product delivery, you'll be involved in every step of the development process, giving you plenty of opportunity to show off your coding skills while also making a real difference to Unifi and our clients. Our dynamic team is looking for someone with an adventurous attitude and a good sense of humor!

Our Technology Stack 

• We work with a modern and diverse technology stack to deliver high-quality solutions.
• Our core technologies include Groovy and Java for programming, with Micronaut and Spring Boot as
• our primary application frameworks. 
• We use Gorm and Hibernate for persistence and rely on MySQL as our main database. For web-based user interfaces, we utilise Vaadin. 
• In addition, our technology stack features Activiti for workflow management, Micronaut and JAX-RS for microservices, and Electron for cross-platform development. 
• We ensure secure operations with Apache Shiro and manage queue processing through Apache ActiveMQ Artemis. 
• Other tools in our stack include MongoDB for document storage, Jasper Reports for reporting, and Apache Velocity as our template engine. We also use SWAGGER for API documentation. 
• Our development environment follows Agile Kanban methodology with continuous delivery, using Jenkins for builds, IntelliJ as our IDE, Bitbucket GIT for source control, and Gradle for build configuration. 
• We stay connected through Slack and Google and manage our development cycle with Jira.

Requirements

• 6+ years of relevant development experience.
• Independent go getter

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Role Purpose 

• Unifi is recruiting a Data Analyst to analyze complex data sets and deliver actionable insights that drive data-informed decisions. You will design and implement visualizations and solutions using GCP tools like Looker and BigQuery. 
• You will collaborate with stakeholders to optimize processes, enhance efficiency, and support business growth across Africa.

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.
• Utilize 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 visualization 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 Visualization:

• Create visualizations, dashboards, and reports using Google Looker to effectively communicate data insights to stakeholders.
• Develop and maintain standardized reporting templates and data visualization 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 optimization 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 visualization tools.
• Participate in training programs, workshops, and professional development opportunities.

Requirements 

• Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Data Analytics, or a related field.
• Minimum of 5 years’ experience as a Data Analyst or in a similar role.
• Proficient in GCP, Google BigQuery, SQL, Python, and data visualization tools such as Looker.
• Strong analytical, problem-solving skills, and attention to detail.
• Experienced in handling and analyzing large datasets efficiently.
• Skilled in statistical analysis, data modeling, and deriving actionable insights.
• Excellent communication and presentation abilities.
• Proficient in Microsoft Excel and other data manipulation tools.
• Knowledge of data governance principles and best practices.
• Understanding of data privacy regulations and compliance standards is a plus.