About us:
Zenfinex- Trade the World
Vision– to inspire the financial confidence of traders and investors of the world.
Who are Zenfinex?
- We are Human
- We empower all with Knowledge
- We are forging the Future
- We earn trust through Integrity
- We provide global expertise with a Local Touch
With over 50 years of combined industry experience, our management team are passionate about building a brokerage to compete with the most reputable brands in the industry. We are focused on building our own path, through superior technology and excellent service with a clear understanding of our client’s needs.
Along with a wide range of available products including Forex, Cryptos, Indices, Shares and Commodity CFDs, we also provide excellent learning resources and market analysis, superfast execution, competitive leverage, and exceptional customer service.
Our culture is being driven by our core values which are Integrity, Collaboration, Curiosity, Tenacity and Excellence. We treat our colleagues with respect and kindness, we work as a team and a family, we are detail orientated and think outside the box. We are determined, have a great work ethic and we work in a fast-paced environment.
We are expanding at a fast pace and there are lots of opportunities for input and growth within your role. If you are interested in joining us at this exciting time, then read on!
About the role:
We are seeking a dynamic individual who combines a strong technical background with exceptional soft skills. This role’s primary responsibility is to support our business intelligence and data analytics initiatives, transforming complex data into actionable business insights.
The job holder will not only design and implement BI solutions, but also play a pivotal role in aligning these solutions with strategic business objectives through effective communication and requirement gathering.
Key Responsibilities:
- Technical BI Solution Development: Design, develop, and maintain advanced BI solutions, including data warehousing, ETL processes, and reporting systems. Ensure these solutions are scalable and optimized for large volumes of data.
- Data Analysis and Reporting: Utilize your strong SQL and data querying skills to transform complex datasets into insightful reports. Leverage tools like Power BI for visualizations and dashboards that inform business decisions.
- Database Utilization and Understanding: Utilize your knowledge of database structures, theories, principles, and practices to effectively query and analyze data. Collaborate with the database management team to ensure data integrity and optimize performance for your data analysis tasks, contributing insights for the enhancement of the data ecosystem.
- ETL Process Management: Design and implement efficient ETL processes using best practices. Automate and optimize these processes to support the efficient and accurate flow of data within the organization.
- Business Process Evaluation and Improvement: Evaluate business processes, identify areas for improvement, and develop technical solutions to enhance operational efficiency.
- Stakeholder Engagement and Requirement Gathering: Collaborate with business users to understand their needs. Translate these needs into technical requirements and implement effective BI solutions.
- Project Leadership: Lead BI projects from conception to completion. Manage timelines, resources, and stakeholder expectations while ensuring technical excellence.
- Cross-Functional Collaboration: Work closely with IT, development teams, and business stakeholders to ensure the BI solutions align with organizational goals and IT standards.
- Technical Mentorship: Provide guidance and mentorship to junior staff in BI tools, data analysis techniques, and database management best practices.
- Continuous Learning and Process Modernization: Stay up-to-date with the latest technologies and trends in BI and data analytics. Proactively seek opportunities to modernize and automate BI systems and processes.
Experience and Qualifications:
- Bachelor’s degree or equivalent in Computer Science, Data Analytics, or a related field.
- Minimum 3 years of experience in designing, implementing, and managing Business Intelligence (BI) solutions.
- Strong proficiency in database structures and SQL, with a proven ability to develop complex queries and optimize performance.
- Highly skilled in reporting, with a focus on best practices in data visualization and BI tools (preferably Power BI).
- Demonstrated experience collaborating within a team-oriented and diverse work environment, with strong communication and interpersonal skills.
- Proven ability to translate business requirements into technical specifications, ensuring solutions meet business needs.
- Familiarity with ETL processes and data warehousing principles.
- Experience in data modeling, including conceptual, logical, and physical data models.
- Experience in conducting data analysis to drive business insights and decision-making.
- Strong problem-solving skills and attention to detail, with a commitment to data accuracy and quality.
Experience and Qualifications:
- Bachelor’s degree or equivalent in Computer Science, Data Analytics, or a related field.
- Minimum 3 years of experience in designing, implementing, and managing Business Intelligence (BI) solutions.
- Strong proficiency in database structures and SQL, with a proven ability to develop complex queries and optimize performance.
- Highly skilled in reporting, with a focus on best practices in data visualization and BI tools (preferably Power BI).
- Demonstrated experience collaborating within a team-oriented and diverse work environment, with strong communication and interpersonal skills.
- Proven ability to translate business requirements into technical specifications, ensuring solutions meet business needs.
- Familiarity with ETL processes and data warehousing principles.
- Experience in data modeling, including conceptual, logical, and physical data models.
- Experience in conducting data analysis to drive business insights and decision-making.
- Strong problem-solving skills and attention to detail, with a commitment to data accuracy and quality.
