Insights Analyst — Power BI & Data Dashboards

Medical Assurance Society NZ

Wellington

On-site

NZD 75,000 - 110,000

Full time

3 days ago
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Benefits offered by this job

Health and Life insurance
Income Protection Insurance
6% KiwiSaver

Job summary

Medical Assurance Society NZ in Wellington is seeking an Insights Analyst to turn data into actionable insights that guide decision-making and improve member outcomes.

You'll analyse data, develop dashboards and reports using Power BI, and work with stakeholders across the business to translate questions into clear analytics. Strong SQL skills and experience with complex datasets are required; knowledge of Python or R is advantageous.

Qualifications

  • Experience in an Insights Analyst, Data Analyst or similar role.
  • Strong Power BI and SQL capability.
  • Experience working with complex datasets.
  • Knowledge of Python or R (advantageous).
  • Strong analytical and problem-solving skills.
  • Experience developing dashboards, reporting and business insights.
  • Ability to communicate technical concepts clearly.

Responsibilities

  • Analyzing data to identify trends, patterns, risks and opportunities.
  • Developing dashboards, reports and visualisations using Power BI.
  • Working with stakeholders to understand business questions and reporting needs.
  • Translating complex data into meaningful insights and recommendations.
  • Supporting data quality, governance and reporting processes.
  • Contributing to automated reporting and continuous improvement initiatives.
  • Presenting findings to both technical and non-technical audiences.

Skills

Power BI
SQL
Python
R

Job description

Medical Assurance Society NZ in Wellington is seeking an Insights Analyst to turn data into actionable insights that guide decision-making and improve member outcomes.

You'll analyse data, develop dashboards and reports using Power BI, and work with stakeholders across the business to translate questions into clear analytics. Strong SQL skills and experience with complex datasets are required; knowledge of Python or R is advantageous.

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