Data Analyst

Location: London based (Hybrid)

Salary: 50-65k depending on experience

Industry: Construction/Engineering

Job Overview:

We are looking for a highly skilled and motivated Data Analyst to join our dynamic team. The ideal candidate will have a strong background in data analytics, with proficiency in Power BI, Power Apps, Python scripting, and SQL . The Data Analyst will be responsible for analysing complex datasets, creating insightful dashboards, and developing automated solutions to drive data-driven decision-making across the organization.

Key Responsibilities:

• Data Analysis & Reporting : Analyze large datasets to identify trends, patterns, and insights to support strategic decision-making.
• Dashboard Development : Design and develop interactive dashboards and visualizations using Power BI to communicate findings effectively to stakeholders.
• Automation & Scripting : Utilize Python scripting to automate data processing, cleaning, and analysis tasks.
• Database Management : Write, optimize, and maintain SQL queries to extract, manipulate, and analyze data from various databases.
• App Development : Develop and maintain low-code/no-code applications using Power Apps to streamline business processes and improve data accessibility.
• Data Quality & Integrity : Ensure data accuracy and consistency across all reports, dashboards, and analytical outputs.
• Collaboration : Work closely with cross-functional teams, including finance, marketing, operations, and IT, to understand data requirements and deliver actionable insights.
• Continuous Improvement : Identify opportunities to improve data analysis processes and tools and implement innovative solutions.

Qualifications:

• Bachelor's degree in Data Science, Computer Science, Statistics, Information Technology, or a related field.
• 2+ years of experience minimum in a data analysis or similar role.
• Strong proficiency in Power BI for data visualization and dashboard creation.
• Experience with Power Apps for developing applications and automating workflows.
• Proficiency in Python scripting for data analysis and automation tasks.
• Strong knowledge of SQL for querying, data manipulation, and database management.
• Experience with data modeling, data warehousing, and ETL processes.
• Familiarity with cloud-based data platforms (e.g., Azure, AWS) is a plus.
• Excellent analytical and problem-solving skills with attention to detail.
• Strong communication skills and the ability to present complex data insights to non-technical stakeholders.

Preferred Skills:

• Advanced expertise in Power BI for complex data visualization and report creation.
• Proficient in creating and managing custom applications using Power Apps to automate business processes.
• Experience in developing and optimizing Python scripts for data analysis, automation, and workflow improvements.
• Strong background in writing and optimizing SQL queries for complex data retrieval, manipulation, and analysis.
• Experience with ETL (Extract, Transform, Load) processes and data integration.
• Familiarity with data visualization best practices to ensure clear and effective communication of insights.
• Understanding of data modeling techniques to support the creation of efficient, scalable analytical solutions.

Personal Attributes:

• Analytical mindset : Able to think critically and approach data with curiosity and rigor.
• Detail-oriented : Thorough in ensuring data accuracy and quality.
• Collaborative : Comfortable working in a team environment and across departments.
• Self-motivated : Able to work independently and manage multiple tasks simultaneously.
• Adaptable : Willing to learn new tools and technologies as needed.

What We Offer:

• Competitive salary and benefits package.
• Opportunities for professional development and career growth.
• Collaborative and inclusive work environment.
• Flexible work arrangements (2/3 days a week remote).