Interim Senior Data Analyst

Go Fractional; Sydney; Hybrid; AUD 120,000 - 160,000; Full time

Benefits offered by this job

Hybrid work arrangement

Talent development team

Competitive salary

Collaborative culture with cross-team

Hands-on learning and mentoring

Job summary

hipages is seeking a Senior Data Analyst for a 12-month parental leave contract. You will work with a skilled data team to drive insights that feed into our commercial strategy and help evolve the hipages marketplace.

You will collaborate across Product, Engineering, Marketing and Commercial teams to deliver reporting, insights and analytics for a range of projects, from channel performance to segmentation. Hybrid working with 2 days WFH supports life balance and career growth.

Qualifications

• Experience analysing data to inform business decisions.
• Experience with enterprise data warehouses.
• Ability to translate findings into actionable business recommendations.
• Strong communication skills and stakeholder management.
• Advanced SQL skills and BI tool proficiency.
• Experience in e-commerce or tech environments.

Responsibilities

• Build a framework for sharing insights with the business and recommending product improvements.
• Analyse data, trends and results and explain their business impact to stakeholders.
• Explore the acquisition funnel to find insights that grow jobs and tradie numbers.
• Provide teams with data to shape use cases and requirements.
• Support segmentation strategies for a personalised customer experience.
• Design, run and measure feature experiments.

Skills

Data analytics

Stakeholder comms

Storytelling with data

Commercial impact

Education

Degree in Business Analytics/Statistics/Data Science

Tools

SQL

Tableau

Power BI

Looker

Job description

About the role:

This is a 12-month parental leave contract. As a Senior Data Analyst, you’ll help the organisation make better decisions with data. You’ll work closely with the data team and your insights will feed directly into hipages’ commercial strategy.

You’ll help shape the hipages marketplace as it evolves, using your experience to improve things for our customers. You’ll also join a supportive, highly skilled data team whose skills cover everything from engineering to machine learning, where people share what they know and celebrate each other’s wins.

You’ll work with colleagues across the business on reporting, insights and analytics for a range of projects, from channel performance to segmentation.

Why join our Data team?

• Hybrid working with 2 days WFH, so you can fit work around the rest of your life
• An in-house Talent Development team focused on your personal and career growth
• Competitive salary, benefits and perks
• A collaborative culture working with Product, Engineering, Marketing and Commercial teams
• Hands-on learning, workshops and mentoring to keep growing your skills
• Women make up 50% of our Data team, so you’ll be joining a balanced team where your voice is heard

How you’ll add value:

• Build a framework for sharing insights with the business and recommending product improvements
• Analyse data, trends and results, and explain their business impact to stakeholders
• Explore the acquisition funnel to find insights and opportunities that grow jobs and tradie numbers
• Give teams the data they need to shape use cases and requirements
• Help grow our user base by supporting segmentation strategies for a more personalised customer experience
• Design, run and measure feature experiments

About you:

• Data analytics experience in an e-commerce or technology company
• Experience working with enterprise data warehouses
• A love of data, and the ability to make sense of complex information and tell a clear story with it
• You can turn findings into business recommendations that people act on
• Strong communication skills, and you build trusted relationships with stakeholders
• Advanced SQL (or equivalent)
• Strong working knowledge of BI tools (e.g. Tableau, Power BI, Looker)

Nice to haves:

• Experience in a marketplace or digital-native organisation
• Google Analytics and A/B testing for SaaS products
• Forecasting and statistical modelling
• Understanding of ETL frameworks and tools
• dbt or data modelling experience
• Intermediate Python
• Databricks or Snowflake
• Salesforce
• A tertiary degree in Business Analytics, Statistics, Data Science, Economics, Actuarial Studies or a related field

Don’t tick every box?

Research shows women often hold back from applying unless they meet every requirement. If this role excites you and you meet most of the criteria, we’d love to hear from you. We’re happy to talk about flexible arrangements and any adjustments you need during the recruitment process.