Data and Performance Analyst

Jobtailor; Auckland; On-site; NZD 80,000 - 110,000; Full time

Job summary

Tourism New Zealand is seeking a data analyst to develop and maintain reporting, dashboards, and data workflows that combine tourism and organisational datasets.

You will translate data into visual, story-led insights for internal teams, government stakeholders and the wider industry, supporting planning and government reporting.

Qualifications

• Bachelor’s or higher in Data Science or related field, or equivalent practical experience.
• At least two years’ experience in data analysis, analytics reporting or similar role.

Responsibilities

• Develop and maintain reporting and dashboards across tourism datasets.
• Identify trends, risks, opportunities, and outliers.
• Translate data into visual, story-led insights for internal teams and government stakeholders.
• Support business planning, government reporting, and ad-hoc business questions.
• Collaborate with Head of Business Planning and Performance and insights team.
• Ensure data quality and improve reporting efficiency using Power BI, SQL and AI tools.

Skills

Data analysis

SQL

Power BI

Stakeholder management

Python

R

Education

Tertiary qualification in Data Science

Economics

Statistics

Analytics

Tools

Power BI

SQL

AI-enabled analytics tools

Data warehousing

Data visualization

Job description

• Develop and maintain reporting, dashboards, data flows and performance tracking tools combining tourism and organisational datasets
• Identify trends, risks, opportunities and outliers
• Translate data into simple, visual and story-led insights for internal teams, government stakeholders and the wider industry
• Support business planning, government reporting and responses to specific business questions
• Use Power BI, SQL and approved AI-enabled analytics tools to improve reporting efficiency, data quality, pattern identification and insight generation
• Work closely with the Head of Business Planning and Performance and the wider insights team

Requirements

• A tertiary qualification in Data Science, Economics, Statistics, Analytics or a related discipline, or equivalent practical experience
• At least two years’ experience in data analysis, analytics reporting, performance insights or a similar role
• Strong experience with SQL and Power BI, including developing and maintaining dashboards, reporting datasets, reusable data models or semantic layers
• Experience with Python and/or R preferred
• Strong knowledge of data mining, warehousing, processing, data visualisation and reporting principles
• Ability to gather, blend and interpret data from multiple sources and turn analysis into practical recommendations
• Strong stakeholder management skills and ability to make insights simple, visual and meaningful for different audiences
• Confidence using AI-enabled analytics or productivity tools to support analysis, reporting, automation or documentation
• Creative, detail-focused and flexible approach, with sound judgement, strong problem-solving skills and willingness to keep learning
• Resume and cover letter required; applications must be submitted online through the Tourism New Zealand careers website

Core Competencies

Demonstrates expertise in Data Analysis, Reporting, and Visualization, utilizing tools such as Power BI and SQL to generate actionable insights. Proficient in blending and interpreting data from diverse sources to support business planning and stakeholder communication.

Highest-signal resume keywords

• Data Analysis
• SQL
• Power BI
• Data Visualization
• Stakeholder Management

ATS Optimization Keywords

Hard Skills

• Data Analysis
• Analytics Reporting
• Performance Insights
• Data Mining
• Data Warehousing
• Data Processing
• Data Visualization Principles
• Python
• R
• AI-Enabled Analytics

Soft Skills

• Problem-Solving
• Attention to Detail
• Creativity
• Flexibility
• Sound Judgement

Certifications & Qualifications

• Tertiary Qualification in Data Science
• Economics
• Statistics
• Analytics

Industry Keywords

• Tourism
• Organisational Datasets
• Performance Tracking
• Business Planning
• Government Reporting

Tools & Technologies

• Power BI
• SQL
• AI-Enabled Analytics Tools