Please give us some details about the role you want to fill and let us know why you think our client might be the perfect candidate for you.
What happens next?
Our Job Search Specialist Mark Beltran will facilitate the next steps:
Mark will let our client know that you have shown an interest in their professional skills.
You will receive a full job application from our client and might want to offer them a formal job interview if you see the right potential in this candidate.
If you decide that you would like to offer the role to our client, we will help to make the next steps as smooth as possible.
You will be supported by our Licensed Immigration Advisers, who will take care of all visa related aspects of the process of offering our client a job.
Offering a job to our client will be straight forward.
Holds a Master of Analytics (Marketing) at Massey University, and is proficient with Python, SAS, and Statistical Analytics. Adept at using data to frame business problems, generate actionable insights, and inform strategic decisions. Passionate about transforming complex data into business-ready insights that support strategic decisions and measurable outcomes. Known for reliability, a leader mindset, a collaborative approach, and results-focused problem-solving.
Data Analytics & Programming: Proficient in Python (pandas, NumPy, seaborn, matplotlib) and SQL, with hands-on experience analyzing over 800K+ rows of resident activity data, generating actionable insights for improved engagement strategies.
Statistical Analysis & Modeling: In-depth knowledge of hypothesis testing, regression, multivariate analysis, and applied econometrics, with a successful track record in using SAS Enterprise Guide to benchmark facility performance and define KPIs across aged care facilities.
Strategic Planning & Market Feasibility: Strong analytical and problem-solving abilities, as evidenced by presenting a strategic feasibility report that secured MMPC dealership accreditation and launching 7 new franchise locations using data-informed site selection.
Leadership & Reliability: Known for a leader mindset, consistently delivering data-backed solutions that bridge business goals with stakeholder needs, and gaining recognition for performance, compliance, and innovation across roles.
Customer Insight & Engagement Analytics: Hands-on experience applying Negative Binomial Distribution models to analyze brand/category penetration and purchase frequency, leading to improved marketing strategies and customer retention.
Data Analytics Intern - Auckland
Analyzed 800K+ rows of resident activity and interRAI data using Python (pandas, numpy), identifying 20 high-impact activities that correlated with increased resident engagement across 7 aged care facilities.
Translated 5 business questions into testable hypotheses and generated 65+ data visualizations (seaborn, matplotlib), leading to data-driven recommendations for approval by senior management to enhance engagement strategies.
Conducted statistical analysis in SAS Enterprise Guide to benchmark facility performance, uncovering 3 top-performing facilities and establishing quantifiable KPIs that informed the organization’s performance reviews.
Extracted and structured key datasets (12 in total) from raw and secondary sources using Python and SQL, enabling predictive modeling to forecast resident engagement trends and support future service planning.
Developed visual dashboards (seaborn, matplotlib) to support strategic decision-making, resulting in enhanced visibility for executive stakeholders and better alignment of programs with resident needs
Other experiences include: Business and Franchise Owner, Head of Marketing and Business Development and Marketing Service Manager.
Master of Analytics in Business
Master of Business Administration (MBA)
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