Senior Technical Data Analyst

Senior Technical Data Analyst - Commercial Operations Drive the technical evolution of Commercial Buying platform Favona/Ponsonby location with hybrid working (3 days in the office) Embrace cross-functional collaboration and mentoring juniors Senior Technical Data Analyst - Commercial Operations Drive the technical evolution of Commercial Buying platform Favona/Ponsonby location with hybrid working (3 days in the office) Embrace cross-functional collaboration and mentoring juniors We are Woolworths Group We are Woolworths Group. 200,000+ bright minds, passionate hearts and unique perspectives connected by a shared Purpose to create better experiences together for a better tomorrow.’ It’s that Purpose that fuels our ambition to explore new ideas, make brave commitments and innovate better ways to meet the food and everyday needs of more than 24 million customers every week. If you’re excited to turn today’s blue sky thinking into a better tomorrow for future generations, you’ll find yourself supported and enriched in a dynamic, inclusive and empowering workplace that reflects the diverse communities we serve. With a culture of genuine care, a flexible approach to work and opportunities across the group to grow your career and make a meaningful impact, the possibilities for what we can achieve together are endless. By partnering with Quantium, a world-class data science and advanced analytics business we’re excited about the future as we unlock the power of AI and Insights to reimagine retail. Through this partnership, the wiq team harnesses the best of Woolworths Group and Quantium data science and analytics talent to reimagine retail by solving the most complex problems using AI and analytics. As a team, we leverage Agile ways of working to help our team develop their skills while also making sure our team is focusing on solving the most complex problems for both our customers and team. The purpose of the wiqNZ team is to unlock the power of data to imagine retail, which contributes to making Kiwis’ lives a little better every day. We work closely with all WWNZ business units, as well as with the broader wiq team. What you will do: The wiqNZ team is seeking a technical, commercially minded Senior Data Analyst to drive the operation and evolution of the Commercial Buying platform, which is heavily used in daily operations to improve retail experiences for New Zealanders. Working alongside NZ Commercial leadership and analytics teams across Australia and India, you will empower a small but mighty squad of analysts using your strong expertise in SQL, Python, and Excel to deliver high-impact analytical solutions. Technical Delivery: Operate, and evolve business-facing toolkits using SQL, Python, Excel, and DBT. Roadmap Execution: Drive the technical evolution and continuous improvement of the Commercial Buying platform. Data Pipelines & Quality: Manage pipeline refreshes, maintain high data integrity and governance. Problem Solving: Diagnose and resolve complex data and tooling issues while triaging stakeholder queries. Global Collaboration: Build strong relationships with cross-functional analytics teams across New Zealand, Australia, and India. Stakeholder Engagement: Support business strategy, track tool outcomes, and drive high adoption of standardized platforms. Technical Mentorship: Guide junior analysts, perform quality assurance on squad deliverables, and foster team innovation. What you’ll bring: By setting high standards, establishing robust operational systems, you foster a culture of technical ownership, courage and continuous innovation. Excel/Google Sheets: Advanced functions, data visualization, and process automation (Macros, VBA, AppScript etc). Data Analysis & Maintenance: Fluent in complex SQL, performance optimization, and orchestration tools (DBT, Airflow). Exposure to data modelling and engineering practices are highly beneficial. Python: Proficient in data wrangling and manipulation (Pandas) with working knowledge of Git source control. Additional Tech: Familiarity with cloud platforms (GCP, BigQuery), strong end-to-end troubleshooting and an AI first mindset will be highly beneficial. Analytics Delivery: Proven track record in project ownership and driving continuous improvement. Core Competencies: Strong commercial acumen, complex problem-solving, meticulous attention to data quality, and clear communication. Industry Domain: Familiarity with the Retail or FMCG sectors is desirable but not compulsory. Education: Tertiary degree in Statistics, Data Science, Mathematics, Computer Science, or a related field. What you’ll experience: A global business with endless career possibilities around every corner and across every discipline - with valuable exposure to a vast and exciting business network. Team discounts across our range of Woolworths Group brands you know and love and a robust rewards program that celebrates and incentivises purpose-driven work. 12 weeks paid parental leave for primary caregivers plus paid superannuation for up to 12 months while the Team Member is on parental leave - eligible from the first day of employment. A range of programs to help you prioritise and manage your wellbeing, including 24/7 access to the Sonder app. A progressive and competitive leave policy that gives you more space for what matters to you. Everyone belongs at Woolworths Group As one of the largest employers in Australia and New Zealand, we aim to create a truly inclusive workplace where everyone feels that they belong, can be their best selves, and reach their full potential. Diversity, equity, inclusion, and belonging are key to realising our purpose of better together for a better tomorrow. We recognise the value our team’s diversity brings to our business, customers, and communities and that teams with diverse experiences and backgrounds enrich our group and are better able to innovate and solve problems. Woolworths Group is an inclusive, team-first company and we value all skills and experiences. If you meet some, but not all of the requirements, we encourage you to submit your application. #J-18808-Ljbffr