MABASA / LINKEDIN
Senior Data Analyst
SG Consulting Limited
- Location
- Auckland, New Zealand
- Work type
- fulltime
- Source publication date
- Original publication date not confirmed
- Source closing date
- Not supplied — check original advert
Job description from the source
We are seeking an experienced Senior Data Analyst with strong SQL, Power BI and data analytics skills to transform complex datasets into actionable business insights. The ideal candidate will have New Zealand retail IT experience and a background in marketing, customer or competitor analytics, with the ability to communicate findings and recommendations to senior business stakeholders. Key Responsibilities * Extract, analyse and transform data using SQL, including joins, filters, aggregations, views and query optimisation. * Develop and maintain Power BI dashboards, reports and visualisations to support business decision-making. * Use Python for data manipulation, analysis and reporting where required. * Analyse business problems and translate requirements into practical analytical solutions. * Work with retail business data across pricing, merchandising, sales and returns, loyalty, customer behaviour, supply chain and marketing. * Identify trends, patterns, risks and opportunities to support business performance improvement. * Present analytical findings and recommendations through Power BI reports, Excel and PowerPoint. * Collaborate with business users, data scientists, architects and technical teams to deliver effective analytics solutions. * Explain data science outputs and analytical insights clearly to non-technical stakeholders and senior business users. Required Skills and Experience * Previous experience in New Zealand retail IT. * Experience in marketing, customer or competitor analytics. * Strong SQL skills and practical Power BI reporting and dashboard development experience. * Experience analysing data and translating findings into actionable business insights. * Demonstrated ability to present insights and recommendations to senior business stakeholders. * Good understanding of retail business processes and commercial drivers. * Python familiarity for data manipulation and analytics. * Excellent verbal and written communication skills. Preferred Domain Knowledge Experience in one or more of the following retail areas: * Pricing and merchandising * Sales and returns * Loyalty programmes * Customer behaviour and segmentation * Supply chain analytics * Marketing performance and competitor analysis Ideal Candidate The ideal candidate combines strong technical data analytics skills with commercial awareness, retail domain knowledge and the ability to influence business decisions through clear, evidence-based insights. * **Note:** New Zealand retail IT experience and marketing, customer or competitor analytics are key screening criteria for this role.
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