Auckland
Katy Guildford
Business Improvement & Data Expert
Hire a Data Analyst in New Zealand
Turn business data into faster decisions with visual reports and dashboards; expertise in Power BI, Looker Studio, SQL and Excel.
Nelson
Rachel Moffitt
Marketing Consultant & Community Connector
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Kate Riley
Business Systems Consultant | Custom Internal Business Apps
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Rahul Khatri
Data, Analytics and AI Consultant
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Mehul Chhagan
Data and Reporting Specialist
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Carolyn James
Web Analytics Expert
What this service is for
What can a data analyst help you build?
Turn sales, operations and marketing data into clear reports and dashboards so you can spot trends, measure performance, and make faster, confident business decisions with prioritised recommendations.
Make marketing spend measurable
Link advertising and website data to show which channels drive valuable customers and reduce wasted budget.
Automate regular reporting
Replace manual spreadsheets with scheduled dashboards so managers get timely KPI updates without busywork.
Monitor operations and margins
Combine sales, stock and cost data to highlight margin leaks and opportunities for operational improvement.
How Unicorn Factory works
A simple way to find the right freelancer.
Create one project brief, compare applications from relevant freelancers, and choose who you would like to meet.
Step 01
Tell us what you need.
Use the guided brief to explain the outcome, timing, budget, and context. You do not need to prepare a technical specification.
Freelancers in our network
Profiles from our New Zealand network
Below are example profiles from the Unicorn Factory network. To hire: create a brief, relevant freelancers will apply, you review applications, and Unicorn Factory makes warm introductions to applicants you want to speak with.
Tell us about your projectIdeas for your brief
Project ideas you can start with
Choose a practical, scoped project to get results quickly; each scope can be adjusted and rates agreed directly with the freelancer.
Starter dashboard and monthly reporting
A concise dashboard and automated monthly report for one business area (sales or marketing) to replace manual spreadsheets.
- Requirements summary and KPI list agreed with stakeholders
- Data clean-up and simple data model from one or two sources (CSV, Google Sheets or e-commerce export)
- Interactive dashboard in Power BI or Looker Studio with filters and export-ready visuals
- Automated monthly report (email or PDF) and short handover session
Customer behaviour and marketing analytics
Understand which campaigns and channels drive customers and value using event and conversion data.
- Mapping of customer journey and conversion events (including GA4 if used)
- SQL queries or Python scripts to consolidate event and CRM data
- Attribution-style dashboard showing channel performance and cost per conversion
- Recommendations for tracking improvements and a brief optimisation plan
Data integration and automation (ETL)
Connect multiple systems so data flows into a single reporting layer and reduces manual entry.
- Assessment of data sources and integration options (APIs, CSV, database connections)
- ETL setup using a lightweight tool or scripts (e.g., Python, Airbyte, or scheduled jobs)
- Centralised dataset and documentation for the reporting model
- Example dashboards and brief training for the person who will maintain reports
Proof lives in the work
Related projects from our network
Real case studies supplied with this skill are shown below.
See Data Analysis & Insights Projects
Marketing & Growth
SEO Recovery and Traffic Restoration for O.F.O
- SEO
- Analytics Implementation
- Google Analytics 4
Neel Pabari
Marketing & Growth
Scaling Shopify Revenue for Flight Coffee with Digital Marketing
- Google Analytics 4
- Shopify
- Meta Ads / Paid Social
Robbie Lawton
Software & App Development
RepAI: AI-powered Reputation & Media Intelligence for Public Affairs
- Analytics Implementation
- Airtable
- Dashboards & Data Visualisation
Oliver Le Lievre
Data & Analytics
Marketing Performance Dashboard
- Campaign Management
- Data Analysis & Insights
- Content Marketing
Katy GuildfordPricing guidance
How much does data analysis cost?
Indicative price bands help you decide what to brief. Final scope and the freelancer’s rate are agreed directly; these estimates may exclude GST and ongoing software or platform fees.
NZ$1,200–4,000 — Small analysis & single dashboard
Good for a focused dashboard from one data source, basic cleaning and a short handover.
NZ$1,200–4,000
NZ$4,000–12,000 — Multi-source dashboards & automations
Fits projects with multiple data sources, modelling, scheduled refreshes and a short optimisation phase.
NZ$4,000–12,000
NZ$12,000–40,000 — Full analytics setup and roadmap
For work that includes ETL or data warehouse setup, multiple dashboards, governance and staff training.
NZ$12,000–40,000
What affects the price
- Number and variety of data sources (APIs, databases, spreadsheets)
- Quality of the source data and amount of clean-up required
- Need for automation, scheduled refreshes or custom integrations
- Complexity of modelling, calculations and bespoke visual design
Estimates are indicative. Final scope and freelancer rates vary; prices exclude GST and any ongoing software or platform fees unless stated. Request a tailored quote from applicants.
Frequently asked questions
Common questions before you hire.
Answers to the questions clients commonly ask before starting a brief.
Still deciding what you need?
Start with the outcome and the context you already have. A polished specification is not required.
How long will a typical project take?
Small dashboards can take 1–4 weeks; multi-source projects commonly take 4–12 weeks depending on access and complexity. Freelancers will provide a timeline in their applications.
How do I write a brief that gets good applications?
Describe your business outcome, list available data sources, note any preferred tools (Power BI, Looker Studio, SQL), and include a target deadline or budget range.
Can a freelancer work with our existing tech (ERP, Shopify, Xero)?
Yes—many analysts connect to common systems via APIs or exports. Confirm access and any platform fees when discussing the brief.
How do I know a freelancer is trustworthy?
Look for relevant examples of past work, clear communication, and technical notes in their application. Unicorn Factory makes warm introductions after you review applicants so you can interview before hiring.
Will ongoing maintenance be included?
Ongoing support is optional and should be agreed directly with the freelancer—either as a short retainer or per-task arrangement.
Ready to get moving?
Ready to get clarity from your data?
Create a brief with your outcome, data sources and timeline to start getting applications from experienced New Zealand data analysts.