Hybrid: Senior Analyst, Data Sustainability & Asset Insights

Cotality NZ; Sydney; Hybrid; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid working model

Wellbeing leave

Wellbeing allowance AUD 600

Baby Bucks parental leave

Calm app subscription

RP Data access

Volunteer leave days

Employee Assistance Program

Job summary

Cotality is seeking a Senior Analyst - Asset Management for the Data Sustainability team. You will lead data assessments, determine the commercial value of data sets, and present insights to executives, translating complex data into business value under tight deadlines.

You will engage with internal and external stakeholders, ensure data integrity, and promote safety within the WHS framework while shaping the organisation's data strategy and acquisition.

Qualifications

• Bachelor’s degree in mathematics, statistics, or data science.
• 5+ years of experience in data collection and analysis.
• Strong SQL skills with 5+ years in mining and analysis.
• Ability to explain data insights to executives and non-technical audiences.
• Proficiency with Microsoft Office Suite.

Responsibilities

• Manage data assessments by reviewing and interpreting data with statistical methods.
• Assess new and existing data to determine commercial value for Cotality.
• Extract and communicate insights, identifying patterns for business decisions.
• Visualize data findings for audiences with varying data literacy.
• Engage stakeholders across internal and external teams including executives.
• Maintain data integrity and handle confidential information per guidelines.
• Promote safety and comply with Cotality WHS framework.

Skills

Analytical mindset

Communication

Stakeholder engagement

Data interpretation

Education

Bachelor's degree in Mathematics/Statistics/Data Science

Tools

SQL

Snowflake

Tableau

AWS

GCP

R

Python

Excel

Job description

Cotality is seeking a Senior Analyst - Asset Management for the Data Sustainability team. You will lead data assessments, determine the commercial value of data sets, and present insights to executives, translating complex data into business value under tight deadlines.

You will engage with internal and external stakeholders, ensure data integrity, and promote safety within the WHS framework while shaping the organisation's data strategy and acquisition.