About Unifi

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.

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.

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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 - 8 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.

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How to Apply

Interested candidates should apply through the official Unifi application portal:

Closing Date: 30 September 2026

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Required Skills

• Python
• TypeScript
• Coding Agents
• React
• Outcome-driven Approach

About micro1

micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform.

Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.

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The Role

This is an AI-native fullstack engineering role building micro1's human data platforms. You'll own features end-to-end, from backend services and data pipelines to the frontends our experts use every day.

The role sits between traditional fullstack and research engineering. Coding agents are your primary development workflow, and you'll work closely with research engineers, operations, and product to turn requirements into reliable production systems.

What You'll Own

• Design and ship fullstack features across backend APIs, data pipelines, and React frontends.
• Own client-facing data delivery and platform infrastructure, including exports, access control, and reliability.
• Scope work around outcomes, direct coding agents—often in parallel—review changes at the architecture level, and iterate until shipped.
• Build and maintain services in Python (FastAPI) and TypeScript.
• Contribute to data modeling, schema design, and query performance across relational and document databases.
• Partner with research engineering, operations, and product to translate platform needs into production-ready systems.
• Improve the frameworks, checks, and evals that make agent-driven development faster without sacrificing quality.
• Troubleshoot production issues and build resilient, observable systems.

What We're Looking For

• Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related field, or equivalent practical experience.
• 0–5 years of software engineering experience, or strong shipped projects as a recent graduate.
• Strong fundamentals in Python and TypeScript, with experience building CRUD applications using frameworks such as FastAPI/Flask and React.
• Working knowledge of databases such as PostgreSQL, MongoDB, or SQLite and core data modeling principles.
• Experience deploying services on a major cloud platform (GCP, AWS, or Azure).
• Coding agents such as Claude Code, Cursor, or Codex are your default development workflow, and you can clearly explain how you use them.
• Ability to turn outcomes into plans, direct agents, verify results, and identify architectural issues agents may miss.
• Understanding of agent loops, MCP, tool/data integrations, permissions, and security.
• Familiarity with context management, RAG, and evals for testing agent workflows.

Preferred

• Exposure to RL concepts or environments, including tasks, actions, and rewards.
• Experience with coding data pipelines or task-authoring platforms.
• Familiarity with CI/CD, deployment pipelines, and DevOps fundamentals.
• Experience contributing to team projects, open-source software, or startups.

Compensation & Benefits

The national pay range for this full-time position is a base salary of $120,000 - $160,000 per year. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies.

micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.

Note: The job listing also displays compensation of $200K - $280K/yr. The detailed description separately states the national base salary range as $120,000 - $160,000 per year.

Equal Opportunity Employer

micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances.

If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.

Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

How to Apply

Interested candidates can apply through the micro1 application page:

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At First Quantum, we free the talent of our people by taking a very different approach which is underpinned by a very different, very definite culture – the “First Quantum Way”.

Working with us is not like working anywhere else, which is why we recruit people who will take a bolder, smarter approach to spot opportunities, solve problems and deliver results.

Our culture is all about encouraging you to think independently and to challenge convention to deliver the best result. That’s how we continue to achieve extraordinary things in extraordinary locations.

Purpose of the Role

Leverage data management and analysis to improve plant reliability and efficiency. This role involves developing predictive maintenance models, managing data integrations, and ensuring the integrity of operational data systems.

Specific Job Responsibilities

• Developing and maintaining data pipelines that consolidate information from multiple operational and business systems.
• Analyzing equipment performance, maintenance, and reliability data to identify trends, recurring failures, and improvement opportunities.
• Building predictive maintenance models to forecast equipment failures and support proactive maintenance strategies.
• Creating and maintaining dashboards, reports, and visualizations that provide actionable insights to maintenance and operations teams.
• Ensuring data accuracy, integrity, accessibility, and governance across reliability-related systems.
• Collaborating with Maintenance, Operations, and Engineering teams to deliver data-driven solutions that improve decision-making and asset performance.
• Supporting continuous improvement initiatives through advanced analytics, process optimization, and reliability-focused reporting.
• Providing training and technical support on data analytics tools, methodologies, and reporting systems.
• Advanced proficiency in Python for data analysis, automation, predictive analytics, and machine learning applications.
• Strong knowledge of SQL for querying, extracting, transforming, and analyzing large operational datasets.
• Proficient in Microsoft Power BI and other data visualization tools to develop interactive dashboards, reports, and performance monitoring solutions.
• Experience working with Enterprise Resource Planning (ERP) systems such as Pronto Xi, JD Edwards (JDE), SAP, or equivalent business management platforms.
• Familiarity with industrial data historians, SCADA systems, PI System, or other operational technology platforms.
• Knowledge of cloud-based analytics and data management platforms.
• Exposure to big data technologies such as Apache Spark, Kafka, and Hadoop.
• Knowledge of data integration, ETL processes, data quality management, and data governance principles.
• Ability to collect, cleanse, analyze, and interpret large volumes of structured and unstructured data.
• Strong statistical and analytical skills with the ability to identify trends, anomalies, and opportunities for performance improvement.
• Experience in developing automated reporting solutions that enhance operational visibility and decision-making.

Behavioural Competencies

• Strong problem-solving and critical-thinking capabilities.
• Excellent verbal and written communication skills.
• Ability to translate complex technical information into clear and actionable business insights.
• Strong stakeholder engagement and relationship management skills.
• Ability to work collaboratively across Maintenance, Operations, Engineering, Planning, and Supply Chain teams.
• High level of attention to detail and commitment to data accuracy.
• Strong organizational and time-management skills.
• Continuous improvement mindset with a proactive approach to identifying and implementing performance improvement opportunities.

Preventive Maintenance Optimization

• Develop and execute PMO Project “Preventive Maintenance Optimization” to keep the execution Preventive Maintenance program up to date.
• Work closely with planners and work execution teams to understand and improve issues related to work instructions.
• Analyse the performance of the PM’s and their relevance with regards to preventing failure as per conclusions of root cause analysis.
• Coach and support the execution team in the development of comprehensive standard jobs.

Equipment Strategies

Defect Elimination and Bad Actor Management

• Develop and maintain a strategic plan for defect elimination and managing bad actors.
• Develop and support personnel in usage of Reliability based methodology, bad actor identification and maintenance KPI’s monitoring.

Health and Safety

Contribute to the management of Health and Safety by:

• Understanding and communicating the company’s EH&S vision, policies and standards to team.
• Identifying EH&S risks and exposures in the analysis and recommendation for change.
• Leading the team to take every opportunity to minimise environmental impacts and to use resources as efficiently as possible to promote sustainable development.
• Contributing to the identification of the significant Health and safety risks of the equipment.
• Ensuring that health and safety training is completed as required.
• Ensuring that incidents related to health, safety or the environment are reported and assisting in investigations to identify any additional controls required.
• Attending regular safety meetings.
• Actively promoting continuous improvement in safety performance throughout the workforce.

Job Specific Competencies

The specific tasks to be performed by the position holder will include:

• Ensuring that both Company and Vendor Safety and Quality standards are adhered to during Installation / Maintenance, Configuring of Field Bus Systems (Profibus / Ethernet) / Fiber Optical Systems, whilst ensuring minimum disruption to the Process Plant Operation or Production.
• Performing Fault Analysis/Fault Finding on Field Bus Systems (Profibus/Ethernet) / Fibre Optical Systems in order to eliminate re-occurrences of repetitive faults and improve Process Control Systems reliability and efficiency.
• An understanding of the Network Drawings of the Processing Plant in relation to the Control & Instrumentation Systems and Equipment installed.
• Keeping record of all changes and red-line required Systems / Network Drawings for Instrumentation.

Experience & Qualifications

• Minimum of 3 years of experience in a Data Engineering role, preferably within a manufacturing, mining, or industrial environment.
• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field.

How to Apply

Interested candidates should apply through the official First Quantum careers portal using requisition number JR18620.

Closing Date: 7 October 2026

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Never send money to companies. Jobs on ENB Enterprise will never require payment from applicants.