BI Analyst supporting operational teams with data reports and analytics for QS. Collaborating with stakeholders to analyze and develop insights from business data in a hybrid work environment.
Responsibilities
Supporting operational teams with the development of ad-hoc reports, extracts and analyses, the BI Analyst will be responsible for processing and prioritising business as usual activity including but not limited to updates to existing reports and bug investigation, resolution, or escalation.
This role will be required to collaborate with internal stakeholders to understand their data requirements and analyse outcome, as necessary.
The BI Analyst will support reporting and BI development activities such as matching, formatting, mapping, and testing data.
Identify, analyse, interpret trends, patterns in new and existing datasets to present insights.
Compile reports and provide insights to internal stakeholders to measure and improve business performance.
Develop ad-hoc reports, extracts, and analysis in a timely manner as part of the BI & Reporting BAU process.
Check and verify data and analyses to ensure accurate reporting.
Investigate, Identify, resolve data or reporting issues or where necessary escalate to data owners or report developers to ensure data integrity protocols are met and accurate reports are generated.
With other members of the BI Team, perform maintenance tasks as required to sustain the BI Report Suite using Tableau, Excel, PowerBI and other tool sets which are applicable.
Perform data operations activities such as matching, formatting and mapping data to ensure a global common data set.
Perform BI development activities by testing outcomes to ensure new BI features are quality checked and released without issue.
Make recommendations about the methods and processes in which QS obtains and analyses data to improve quality and the efficiency of data systems.
Promote 'Self-serve' analytics by mentoring internal stakeholders in the interpretation and use of analytical reports and models.
Any other additional duties as required.
Requirements
BSc in Mathematics, Economics, Computer Science, Information Management or Statistics, or a closely related field or equivalent demonstrable experience.
Experience working in BI Analyst or Data Analyst role.
Experience working with relational databases, data warehouses.
Skillful in SQL, SQLite and MySQL.
Good analytical skills with the ability to collect, format, organise and analyse significant amounts of information with attention to detail and accuracy.
Experience in formatting, analysing, and presenting data.
Experience in PowerBI, Tableau or any other visualisation platform would be an advantage.
Some experience of working within a RDMS and Data Warehouse environment.
Developed critical thinking and problem-solving skills with an ability to conceptualise and think creatively.
Experience of working in a high impact teams required to meet tight deadlines.
Excellent communications skills - both written and verbal, with the ability to understand reporting and analytical requirements and to present them back to users in the form of clear, concise, and digestible reports.
Able to work autonomously and within a team including managing own workload.
Proactive attitude with the ability to use initiative to identify potential issues and offer creative solutions.
Excellent time management and organisational skills with and aptitude to work under pressure.
Willingness to offer and discuss opinions whilst considering those of others in the team and the wider business.
Benefits
Competitive base salary
Access to an annual bonus scheme (for qualifying roles only)
20 days annual leave, plus public holidays
Generous maternity and paternity leave
Access to an Employee Assistance Programme (EAP) and MiCare health
A vibrant social environment and multicultural and multinational culture
Free subscription to the Calm App – the #1 app for sleep, meditation, and relaxation
A focus on welfare which is led by our global wellness team, with mental health first aiders globally
Access to a variety of diversity and inclusion initiatives and groups
Strong recognition and reward programs – including a peer-to-peer recognition platform, quarterly and annual QS Applaud Awards, Connect with your Career annual PD event
Support for volunteering and study leave
Free subscription to LinkedIn learning – with over 5000 courses and programmes at your fingertips
Options to join our outstanding global Mentorship programme
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