BP
Bellinati PerezBI Analyst – Mid/Senior
Senior BI Analyst transforming large volumes of data into strategic insights at Bellinati Perez. Collaborating on data analytics to support decisions in credit recovery industry.
About the role
- Analyse large volumes of complex data to produce insights that can improve business performance.
- Identify stakeholder requirements and develop insightful dashboards and reports to support business decisions and provide customer insights.
- Deliver ad-hoc analyses, regular reporting, and long-term strategic BI & Analytics projects.
- Collaborate with global stakeholders to identify and adopt best practices and new data sources.
- Define standardised metrics, methodologies, and models to ensure consistency and accuracy across analyses and reporting.
- Write and execute SQL queries to extract and manipulate data for analysis and reporting.
- Test and document data models; check and verify data and analyses to ensure accurate reporting.
- Identify and resolve root causes of data quality issues and develop solutions to improve data quality.
- Guide and mentor junior data analysts and promote self-serve analytics across stakeholders.
- Support cross-functional teams on day-to-day execution and ad-hoc requests; perform data operations such as matching, formatting and mapping.
Requirements
- BS in Mathematics, Economics, Computer Science, Information Management or Statistics, or a closely related field or equivalent demonstrable experience.
- Experience working in Data/BI Analyst or Data Science role.
- Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
- Experience in formatting, analysing and presenting data in Tableau, Power BI or other BI reporting applications.
- Experience in mentoring a team of analysts.
- Ability to write complex queries in SQL and model data from data processes.
- Experience in maintaining or conceptualising analytical models using R or Python.
- Technical expertise regarding data models, data mining and segmentation techniques.
- Experience of working within a RDBMS and Data Warehouse environment.
- Highly developed critical thinking and problem-solving skills.
- Experience of working in small, high impact teams required to meet tight deadlines.
- Excellent communications skills -- both written and verbal, and ability to present complex concepts to all levels of the organisation.
- Able to work autonomously and within a team, managing own workload.
- Proactive attitude with ability to use initiative to identify potential issues and offer creative solutions.
- Knowledge of Agile and Waterfall methodologies.
- Excellent time management and organisational skills with aptitude to work under pressure.
Benefits
- Competitive base salary
- Access to an annual bonus scheme (for qualifying roles only)
- 25 days annual leave, plus bank holidays – increasing to 27 days after 5 years
- Enhanced maternity and paternity leave
- Generous pension through Royal London
- Comprehensive private medical insurance and wellness scheme through Vitality
- Access to QSmiles discount scheme
- Cycle to work scheme
- A vibrant social environment and multicultural and multinational culture
- Free subscription to the Calm App
- Global wellness team and mental health first aiders
- Diversity and inclusion initiatives and groups
- Strong recognition and reward programs (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
- Options to join global Mentorship programme
Job title
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