Join our Solutions Engineering team as a Data Analyst, bringing expertise in data visualization, analytics platforms, and SQL, for a permanent position.

The ideal candidate should have extensive experience in data analysis, with proficiency in SQL, Power BI, Tableau, and other visualisation tools. As a Digital Data Analyst, you will transform complex data from multiple data sources into visually appealing insights, driving informed business decisions. Experience in post-implementation stakeholder support is crucial.

Core Responsibilities

• Gather requirements from various stakeholders and translate business needs to technical specifications.
• Develop, design, and maintain high performing insightful Power BI / Tableau reports.
• Create and manage data models in Power BI / Tableau to ensure data accuracy and consistency.
• Perform data integrations through data extraction, transformation, and load (ETL) tasks of large datasets using SQL and prepare data for analysis and visualisation.
• Identify and implement optimizations for data visualisation and report to enhance efficiency.
• Implement new features in the visualisation tool and ensure data quality, security, and compliance with industry regulations.
• Provide end-users training on effective dashboard usage and offer ongoing support.
• Interact with and support stakeholders’ post-implementation, addressing data visualisation needs.
• Communicate complex data findings to non-technical stakeholders clearly.
• Collaborate with data engineers and team members for smooth data integration and to spread the knowledge across the team.

Skills and Requirements

• Several years of extensive data analysis and visualisation experience, with a focus on Power BI, Tableau and SQL to translate complex data into visually compelling, actionable insights.
• Enthusiastic, self-driven, and proactive individual with a passion for thinking outside the box.
• Strong SQL skills for manipulation and analysis of large datasets.
• Understanding of data visualisation principles and best practices.
• Strong analytical and problem-solving skills.
• Excellent communication and presentation skills for both technical and non-technical stakeholders.
• Self-motivated with the ability to work independently and collaboratively.
• Strong understanding of data modelling concepts and data warehouse architectures.

Qualifications

• Bachelor’s degree in data Analytics, Computer Science, or related field preferred.

Preferred Skills

• Proficient in MS Office skills
• Experience with Power BI, Tableau.
• Knowledge of Python for data analysis.

Celebrus is a friendly, welcoming place to work. We are more jeans and t-shirts, than suits and ties, smart on the inside! We invest in team spirit and supporting and mentoring our staff. We believe in developing talent because we know it is not all about proven skills. We are very happy to talk to you if you believe you are close to our requirements but need some time and support to grow into such a role.

Celebrus Technologies is committed to having a workforce that reflects diversity at all levels and is an equal opportunity employer. We encourage you to bring your true self to work every day, as we embrace who you are and evaluate everyone equally. Qualified applicants are considered for employment, and employees are treated during employment without regard to ancestry; age; appearance; colour; gender identity and/or expression; genetics; family or parental status; marital, civil union, or domestic partnership status; mental, physical, or sensory disability; national, social, or ethnic origin; citizenship; past or present military service; sexual orientation; socioeconomic status; race; or religion or belief, or any other characteristic protected under applicable law. If you require reasonable accommodation or assistance for any part of the interview and employment process, please contact HR@Celebrus.com so we can discuss your specific needs and ensure you have the necessary support.