" \u003cdiv class=\"ja-job-details\"\u003e \u003ch2 class=\"title\"\u003eSenior Marketing Data Analyst - Retail Analytics\u003c/h2\u003e \u003cdiv class=\"meta\"\u003e \u003cul class=\"classifications\"\u003e \u003cli data-id=\"21944\"\u003e Data Analytics, Digital \u0026amp; Insights \u003c/li\u003e \u003cli data-id=\"21946\"\u003e Sydney \u003c/li\u003e \u003cli data-id=\"21947\"\u003e Contract or Temp \u003c/li\u003e \u003c/ul\u003e \u003cp class=\"date-posted\"\u003e 2/11/2026 \u003c/p\u003e \u003c/div\u003e \u003cul class=\"bullet-points\"\u003e \u003cli\u003eRequires GCP BigQuery, Python, Marketing Campaign, Sales in Retail\u003c/li\u003e \u003cli\u003e6 Month Contract - $650-750 per day\u003c/li\u003e \u003cli\u003eLooker and Power BI experience\u003c/li\u003e \u003c/ul\u003e \u003cdiv class=\"description\"\u003e Talent Insights Group are hiring a Senior Data Analyst to work on large retail campaign, sales and performance data. This position requires strong professional analytics and/or data science skills and ideally over 4-5 years (minimum) experience in a similar job. Direct experience supporting national or multinational retail companies is highly regarded.\u0026nbsp;\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003eRequirements\u003c/strong\u003e:\u0026nbsp;\u003cbr\u003e \u003cul\u003e \u003cli\u003e4-7 years of professional Data Analyst and/or Data Science experience , managing marketing campaign data in large retail settings\u003c/li\u003e \u003cli\u003eBachelor or Master\u0027s degree in Analytics, Mathematics or a similar quantitative field\u003c/li\u003e \u003cli\u003eHands-on professional experience using Google BigQuery and adjacent GCP (Google Cloud Platform) services\u003c/li\u003e \u003cli\u003eData visualisation using Looker and Power BI and ideally use of Streamlit for app and demos\u003c/li\u003e \u003cli\u003eStrong skillset using SQL for data quality, management, exploration and data pipelines\u003c/li\u003e \u003cli\u003ePython and R experience, including some analytics and machine learning packages, such as Numpy, scikit-learn, PyTorch or similar\u003c/li\u003e \u003cli\u003eDirect experience with measuring campaign performance and incrementality of marketing offers - such as via email, mobile and web channels - and then providing actionable insights to non-technical stakeholders\u003c/li\u003e \u003cli\u003eAny AI and automation experience would be highly valued\u003c/li\u003e \u003cli\u003eHighly preferred skills: Salesforce data, POS retail sales data, marketing campaign data, loyalty data, statistics and experimentation for incrementality reporting\u0026nbsp;\u003c/li\u003e \u003c/ul\u003e You will work in a great team with supportive management, other data teammates and a very large retail data footprint. While the core of this role is analysis and insights, past experience in data science and machine learning techniques is highly desirable and we would also value any NLP / language model exposure for future projects.\u0026nbsp;\u003cbr\u003e\u003cbr\u003eYou will be required to work hybrid with at minimum, 1-2 days in Sydney CBD office.\u0026nbsp; \u003c/div\u003e \u003cdiv class=\"apply\"\u003e \u003ca class=\"back-link\" href=\"#\" title=\"Back to search results\"\u003eBack to search results\u003c/a\u003e \u003cinput type=\"button\" class=\"ja-button\" data-job-id=\"4483136\" value=\"Apply Now\" title=\"Apply Now\" /\u003e \u003c/div\u003e \u003c/div\u003e "