The posting
SISTIC is Singapore's leading ticketing and event management platform, supporting events across arts, culture, sports, and entertainment. Our Analytics & Data Science team works with promoters, venues, and internal stakeholders to turn ticketing data into clear insights that support better decisions.
As part of AXS, a global leader in ticketing and live event technology, and the wider AEG network, SISTIC combines strong local market knowledge with access to international ticketing expertise, technology, and live entertainment capabilities.
ROLE OVERVIEW
We are looking for a junior-to-mid level Business Analyst, Data & Insights to support the Data team in turning business questions into useful reporting, analysis, and recommendations. This role is ideal for someone who enjoys working with data, asking practical business questions, and communicating findings clearly to non-technical stakeholders.
Working closely with the Data Lead and data engineer, you will help scope reporting requests, clarify basic metrics and definitions, validate data outputs, support dashboard improvements, and prepare insight summaries for client presentations, management briefings, and internal discussions. ROLES AND RESPONSIBILITIES
Business Analysis, Requirements & Stakeholder Management
▸ Work with internal stakeholders to understand business questions, reporting needs, and decision-making context.
▸ Help translate stakeholder requests into clear analytical briefs, data requirements, and reporting specifications for the Data Team.
▸ Clarify objectives, assumptions, metric definitions, and expected outputs with guidance from the Data Lead.
▸ Coordinate with commercial, marketing, client service, and data teams to keep analytics requests moving and ensure outputs are practical and timely.
Reporting Products, Dashboards & Process Improvement
▸ Support the maintenance and improvement of internal BI dashboards covering sales, patron behaviour, campaign performance, and client activity.
▸ Gather user feedback, note reporting gaps, and document simple dashboard improvement requests.
▸ Assist standardizing recurring reporting templates, metrics, and workflows to improve consistency and reduce manual effort.
▸ Check dashboard outputs, data extracts, and recurring reports against source data before circulation.
Data Analysis, Insights & Recommendations
▸ Analyse patron, sales, campaign, and event performance data to identify useful trends, patterns, and opportunities.
▸ Use existing patron segmentation frameworks to interpret lifecycle groups such as high-value, at-risk, and lapsed patrons, and translate findings into practical next steps.
▸ Support behavioural analyses covering genre preferences, booking patterns, group size, attendance frequency, spend behaviour, and Culture Pass usage.
▸ Summaries analytical findings into clear observations and recommended next steps for client, management, or internal discussions.
Client Deliverables & Business Reporting
▸ Prepare business-ready data packs, insight summaries, and reporting outputs for assigned promoter clients, venues, and internal stakeholders.
▸ Support ad-hoc analyses such as patron retention studies, genre gateway analysis, cohort comparisons, and campaign reviews.
▸ Present findings in plain language, connecting data observations to business implications and suggested actions.
▸ Ensure reports are accurate, consistent, and appropriate for the intended audience, whether for client presentations, management briefings, or internal reviews.
Documentation& Best Practices
▸ Document business rules, metric definitions, reporting logic, assumptions, and data checks in a clear and organised manner.
▸ Write clear SQL and Python code where required, with support from the Data Lead and data engineer.
▸ Adhere to SISTIC's data governance and confidentiality standards, maintaining clear records for patron-level and commercially sensitive data work.
KEY OUTPUTS
▸ Analytical briefs, data requirements, and reporting specifications for dashboard or analysis requests.
▸ Dashboard improvement notes, metric definitions, validation checks, and user feedback summaries.
▸ Client analytics reports, management summaries, and data packs that translate findings into practical business recommendations.
▸ Standardised reporting templates and improved workflows for recurring client, management, and internal analytics outputs.
▸ Ad-hoc analyses, patron segmentation outputs, and insight summaries in response to stakeholder questions and business priorities.
SKILLS AND EXPERIENCE REQUIRED
Business Analysis & Communication
▸ Ability to understand business questions and translate them into clear analytical tasks with guidance.
▸ Good communication and stakeholder management skills, with confidence working across business and technical teams.
▸ Comfortable documenting metric definitions, reporting requirements, workflow notes, and validation checks.
▸ Able to explain data findings in a practical, easy-to-understand way.
Technical Aptitude
▸ Degree or diploma in Business Analytics, Data Science, Statistics, Computer Science, Economics, Information Systems, or equivalent.
Data Handling:
▸ Working knowledge of SQL for querying data, and basic Python or similar tools for data manipulation and analysis. Big Query experience is a plus.
▸ Familiarity with BI or visualisation tools such as Apache Superset, Tableau, or Power BI.
▸ Comfortable interpreting basic segmentation outputs and analytical summaries.
▸ Strong Excel skills for data validation, reconciliation, formatting, and ad-hoc analysis, including VLOOKUP and Pivot Tables.
Preferred
▸ Some exposure to business analysis, product analytics, reporting operations, dashboards, or analytics project work.
▸ Experience preparing simple analytical summaries, reporting notes, user stories, or client-facing reports from data.
▸ Prior internship or work experience in ticketing, media, e-commerce, retail, consulting, business analytics, or a consumer-facing analytics environment.
Professional Attributes
▸ Confidentiality & Integrity: You will handle sensitive commercial data —ticket sales, patron demographics, and revenue figures. A strict adherence to data privacy, confidentiality, and professional discretion is a mandatory requirement for this role.
▸ Attention to Detail: A 'measure twice, cut once' mindset. You double-check your queries and outputs to ensure accuracy before passing work to the Data Lead or out to clients.
▸ Commercial Curiosity: A genuine interest in understanding patron behaviour, client needs, and the events ecosystem — you ask sharp questions and look for the business meaning behind the data.
▸ Clear Communicator: You can turn a stakeholder request into a clear brief, and a data table into a sentence a promoter or senior manager would immediately understand.
▸ Collaborative: You work well across teams and communicate proactively when priorities shift or data looks unexpected.
WHAT WE OFFER
▸ Exposure to real-world business analysis and analytics work across client reporting, dashboard improvement, patron behaviour analysis, and commercial decision support.
▸ Direct collaboration with the Data Lead and a small, high-trust team where your ability to connect business needs with data outputs will have immediate impact.
▸ A clear path to build stronger business analysis, reporting, analytics delivery, and stakeholder management skills as SISTIC's analytics capability grows.
▸ Access to one of Singapore's richest live-event patron datasets, spanning arts, entertainment, sports, and cultural programming.
▸ A role that develops your business analysis, technical, commercial, and communication skills in equal measure.
Application Note
To facilitate screening, please explicitly include a proficiency rating (Beginner / Intermediate / Advanced)for the following in your application: SQL, Python, and any BI tools used.
