JOB DESCRIPTION:

We are looking for a skilled and experienced Senior Data Analyst to join our team, as we expand on our data and analytics space, to fully exploit our data and help drive data-driven decision-making. This role requires a hands-on approach to data analytics, working across multiple stakeholders and managing complex datasets to provide valuable insights.

REQUIRED SKILLS & EXPERIENCE

• 3+ years of experience in a data analyst or similar role.
• Strong skills in Power BI, including report/dashboard development and DAX calculations.
• Proficiency in SQL, including writing efficient queries for data transformation and analysis.
• Experience with ETL tools and processes, ensuring efficient data extraction and transformation.
• Experience with Power Automate for workflow automation.
• Strong problem-solving skills and the ability to translate business needs into data solutions.
• Excellent communication skills, with the ability to present complex data to both technical and non-technical stakeholders.
• Ability to thrive in a fast-paced, dynamic environment with tight deadlines.

DESIRABLE SKILLS

• Working knowledge of Python for data manipulation and automation.
• Knowledge of data warehousing concepts and best practices.
• Familiarity with Microsoft Fabric, including its use in data engineering, analytics, and real-time data processing.
• Experience with Power Apps for building low-code applications that integrate with data workflows.
• Understanding of Microsoft Co-Pilot and AI-driven analytics for enhancing data insights and decision-making.
• Exposure to machine learning or advanced analytics techniques is a plus.

• Develop and maintain dashboards and reports in Power BI to support business needs.
• Write and optimize SQL queries (views and select statements) to transform and extract data efficiently.
• Design and implement ETL processes to ensure clean and structured data pipelines.
• Utilize Python for data analysis, automation, and workflow optimization.
• Leverage Power Automate to streamline and enhance business processes.
• Collaborate with internal and external stakeholders, including directors, sales teams, and operational staff, to understand data requirements and deliver actionable insights.
• Ensure data integrity and governance by following best practices for data management.
• Identify trends, patterns, and insights that support strategic decision-making.
• Work in an agile environment, adapting to short timescales and shifting priorities effectively.