Data Analyst, Office of Campus Infrastructure and Services

HYPERSCAL SOLUTIONS PTE. LTD.; Greater London; On-site; GBP 30,000 - 50,000; Full time

Job summary

A well-known analytics firm in Greater London is seeking an experienced Data Analyst. The role focuses on collecting and analyzing data from diverse sources to develop engaging dashboards. Candidates should have a Bachelor's degree and 3 to 5 years of relevant experience. Proficiency in tools like Power BI, SQL, and Python is required. The ideal candidate will possess strong analytical skills and be comfortable collaborating with stakeholders. This position offers a competitive salary and opportunities for professional development.

Benefits

Competitive compensation packages

Professional development opportunities

Qualifications

• 3 to 5 years of experience in Data Analytics or Business Intelligence.
• Strong proficiency in statistical analysis and data mining techniques.
• Experience designing interactive and user-friendly dashboards.

Responsibilities

• Collect, clean, and transform data from multiple sources.
• Build interactive dashboards and reports.
• Develop and optimize data models within dashboarding tools.

Skills

Data cleaning

Data visualization

Analytical mindset

Problem-solving

Stakeholder management

Education

Bachelor's degree in Computer Science or related field

Additional qualifications in Data Science

Tools

Power BI

Tableau

SQL

Python

Microsoft Fabric

AutoCAD

Job description

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.
Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Data Management and Analytics
  • Collect, clean and transform data from multiple internal and external sources, including APIs, space and booking management systems and smart meters.
  • Build interactive and user-friendly dashboards, reports and data models to support business decision-making.
  • Gather business requirements from different functional teams and translate them into suitable data requirements.
  • Ensure data quality, consistency and governance across the organization.
  • Conduct thorough data analysis to identify trends, patterns, and performance metrics that influence business decisions.
  • Generate actionable insights through advanced analytics performed on diverse data gathered from large longitudinal cohorts, continuous sensors, and combined datasets.
  • Develop compelling data-driven narratives for impactful storytelling to both internal and external stakeholders.
  • Maintain library of OCIS data, reviewing sources of data, and recommend improvements to data sources and collection.
  • Ensure data integrity and establish standardized reporting processes.
  • Integrate OCIS data with broader university analytics to inform decision-making.
• Dashboard Optimisation
  • Conduct usability audit on existing dashboards.
  • Develop and optimise data models within the dashboarding tool for reporting and analytics.
  • Optimize layout for clarity and user experience.
  • Develop predictive models to forecast resource needs eg based on faculty expansion, student enrolment, and operational changes.
• Champion Experimentation
  • Design, implement, and analyse A/B tests and multivariate experiments to drive continuous improvement.
  • Stay updated with the latest management technologies and automation tools.
  • Propose, implement, and optimise technological solutions to enhance data analysis, reporting capabilities, and overall transportation efficiency.
• Stakeholder Engagement & Collaboration
  • Develop clear documentation of metric definitions and logic to ensure alignment across teams. Eg user Manuals and guidelines for stakeholders.
  • Engage regularly with cross-functional stakeholders to understand their workflows, pain points, and evolving data needs.
  • Translate business questions into actionable metrics and analytical solutions to support procurement and FMS operations.
  • Collaborate with cross-functional teams to gather requirements, define data-related technical issues, and provide solutions.
  • Provide user training and develop user guide and documentation.
  • Automate manual processes and create efficient digital workflows.
• Support Environmental Sustainability in the Workplace
  • Collaborate with other teams on Sustainability related data and functions.
  • Ensure alignment and accuracy of OCIS-provided data for organization-wide Sustainability reports.
  • Participate in relevant meetings to understand stakeholder needs.
  • Develop visuals that support communication and decision-making during Sustainability related meetings and reviews.
• Other duties as assigned.

QUALIFICATIONS

• Bachelor's degree or higher in Computer Science, Information Systems, Engineering, Business Analytics, Statistics or any related quantitative discipline/field.
• Other disciplines can be supplemented with additional qualifications and prior experience in Data Science / Data Analytics.
• 3 to 5 years of experience in Data Analytics, Business Intelligence, Data Engineering or relevant quantitative experience in the Real Estate / Facilities industry.
• Proficiency in data cleaning, analytics & visualisation tools (Power BI, Tableau, SQL).
• Good understanding of AI-driven scheduling and IoT-based tracking for real-time space monitoring.
• Strong proficiency in Excel and hands-on experience with querying and manipulating large, complex datasets with tools e.g. SQL, Python.
• Strong proficiency in statistical analysis and data mining techniques.
• Strong proficiency in Python (or R) for advanced statistical analysis, data modelling, and automation (e.g., pandas, numpy, scikit-learn).
• Proficiency with data visualization tools (e.g., Tableau, Looker, Power BI) to build effective and clear dashboards.
• Experience using dataflowgen 2/ Microsoft fabric.
• Experience writing PowerBI DAX function.
• Experience designing interactive and user-friendly dashboards with UI principles.
• Familiar with machine learning techniques and predictive modelling.
• Strong analytical mindset and problem-solving abilities.
• Strong stakeholder management (technical and non-technical) and communication skills.
• Willingness to challenge the status-quo and motivate the team to foster the data-driven culture.
• Proven experience in data analysis, reporting, and solution development within the real estate / infrastructure / Utilities industry.
• Familiar with resource and booking management systems.
• Familiar with Al tools, chatbot development, or workflow automation is a plus.
• Good understanding of space planning and facilities management principles and techniques to optimize the use of resources while adhering to regulatory compliance.
• Strong writing and presentation capabilities.
• Experience in space management software (Planon, AutoCAD).
• Knowledge and experience in data governance, data security, and privacy practices.

OTHER INFORMATION

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Candidates who do not possess the stipulated qualifications but have relevant work experience may still apply. Remuneration and appointment terms shall commensurate with qualifications and experience. SMU reserves the right to modify the appointment terms where necessary.

Please note that your application will be sent to and reviewed by the direct employer - Singapore Management University