Data Analyst
- Job Type Full Time
- Qualification BA/BSc/HND
- Experience 5 years
- Location Lagos
- Job Field Data, Business Analysis and AI 
JOB SUMMARY
- As a Data Analyst, you will play a critical role in analyzing business data to inform strategies, optimize operations, and identify growth opportunities.
RESPONSIBILITIES:
As Senior Data Analyst:
- Providing technical expertise in data storage structures, data mining,and data cleansing.
- Supporting the data warehouse in identifying and revising infrastructure and reporting requirements.
- Assessing tests and implementing new or upgraded software while assisting with strategic decisions on new systems.
- Troubleshooting the reporting database environment and reports.
- Managing database records including creation, updates while creating best-practice reports based on data mining, analysis, and visualization
- Build, design, deploy, maintain and lead the implementation of Cloud solutions across multiple public cloud offerings, e.g. AWS, Google Cloud and Microsoft Azure
- Lead the analysis of large, complex datasets to identify trends, patterns, and actionable insights.
- Develop and maintain advanced data models, dashboards, and reports to support business objectives.
- Collaborate with business stakeholders to understand their goals and provide data-driven solutions to address them.
- Provide expert analysis, including forecasting, predictive modeling, and scenario planning.
- Mentor and guide junior data analysts, providing technical support and training on best practices.
- Ensure the quality, accuracy, and integrity of data used for analysis and decision-making.
- Conduct thorough data validation and analysis to identify opportunities for process improvement.
- Present key insights and recommendations to senior leadership in a clear and concise manner.
- Automate and streamline data reporting processes to improve efficiency.
- Stay updated with industry trends and emerging tools to enhance data analysis capabilities.
EDUCATION & PROFESSIONAL REQUIREMENTS
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (Master’s preferred).
- Minimum of 5 years of experience in data analysis, with at least 2 years in a senior or lead role.
- Strong proficiency in SQL, Python, R, and other data analysis tools.
- Expertise in data visualization tools such as Power BI, Tableau, or similar.
- Extensive experience with statistical modeling, predictive analytics, and machine learning techniques.
- Proven ability to work with large datasets and perform advanced data manipulation and analysis.
- Strong business acumen and the ability to translate complex data into actionable insights for non-technical stakeholders.
- Excellent communication skills, with the ability to present technical findings in a clear, accessible manner.
Skills and Competencies:
- Advanced knowledge of database management and querying techniques.
- Expertise in building and automating reports and dashboards.
- Ability to lead and mentor a team of data analysts.
- Strong problem-solving skills and attention to detail.
- Ability to manage multiple projects simultaneously and meet deadlines.
- Experience with data governance and data privacy best practices.
- Familiarity with cloud platforms (e.g., AWS, Google Cloud) and data engineering concepts
- is a plus.
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Method of Application
JOB SUMMARY
- We’re looking for an Intermediate Level Backend Engineer to design, develop, and maintain the server-side components of our applications. You’ll work closely with frontend developers and product teams to ensure functionality, performance, and scalability.
Duties include:
- Design, develop, and maintain the backend services and APIs to support various applications and functionalities.
- Collaborate with frontend developers, product managers, and other stakeholders to understand requirements and translate them into technical specifications.
- Write clean, efficient, and well-documented code using best practices and design patterns.
- Work with version control systems (e.g., Git) to manage codebase and collaborate with team members.
- Collaborate with front-end developers to integrate user interfaces with server-side functionality
- Collaborate with the architecture team to design efficient and scalable backend architectures that meet the requirements of the business.
- Optimize application performance and scalability by implementing appropriate caching mechanisms, database optimizations, and other techniques.
- Develop and maintain APIs to enable seamless communication between frontend and backend systems.
- Design and implement data storage solutions using relational or NoSQL databases.
- Design and optimize database schemas, write efficient SQL queries, and implement database migrations.
- Troubleshoot and debug complex technical problems reported by users or identified through testing and implement timely solutions for performance optimization.
- Create and maintain technical documentation for backend systems, including architecture diagrams, API documentation, and developer guides.
- Collaborate with front-end developers, designers, and product managers throughout the development lifecycle.
- Ensure the reliability, security, and integrity of backend systems by implementing appropriate security measures and conducting regular code reviews.
- Stay updated on emerging technologies and industry trends to continuously improve our backend development processes and tools.
- Work closely with DevOps engineers to deploy and manage backend services in cloud environments (e.g., AWS, Azure, Google Cloud Platform).
- Write unit and integration tests to ensure code quality and functionality.
- Participate in Agile development processes, including sprint planning, daily stand-ups, and retrospectives.
- Other responsibilities as required by the organization.
EDUCATION & PROFESSIONAL REQUIREMENTS
- Bachelor’s degree in Computer Science, Software Engineering, or related field.
- 2+ years of experience in backend development, with extensive experience in Laravel.
- Strong proficiency in PHP and Laravel framework (experience with Laravel 8/9+ is a plus).
- Experience with relational databases like MySQL or PostgreSQL, and familiarity with NoSQL databases (e.g., MongoDB).
- Solid understanding of API development, RESTful services, and integrating third-party APIs.
- Familiarity with version control tools, particularly Git.
- Some knowledge of cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes) would be a plus.
- Strong problem-solving, debugging, and testing skills.
- Strong communication and collaboration skills.
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