Data Analytics Specialist — SQL, Automation, AI & Modeling

WHAT YOULL DO
In this role you will be responsible for turning complex data and business problems into clear analytical outputs that support client conversations commercial strategy and product-driven insights.
You will:

• Structure analyses from business problems
  Translate open-ended questions into clear analytical approaches define the right methodology identify the data needed and communicate findings in a way that drives decisions.
• Build scalable analytics and automation
  Automate recurring analyses reporting flows data quality checks and commercial analytics processes using tools such as SQL Python R Alteryx or similar technologies.
• Work deeply with data
  Extract transform validate and analyze datasets from multiple sources ensuring accuracy consistency and analytical rigor.
• Develop advanced analyses and models
  Apply statistical predictive or machine learning techniques when relevant using Python R or other analytical tools to solve real business problems.
• Use AI to improve analytics workflows
  Apply AI tools and techniques to accelerate analysis automate repetitive tasks improve insight generation and enhance the quality and scalability of analytical outputs.
• Generate client-ready insights
  Create analyses visualizations and narratives that can be used in client meetings sales conversations internal strategy discussions and thought leadership materials.
• Create dashboards and analytical products
  Build dashboards reports and analytical tools that make data easier to use and interpret for business stakeholders.
• Ensure quality and excellence in execution
  Deliver high-quality zero-defect work through strong validation documentation and attention to detail.

• Strong experience in analytics data analysis business intelligence customer insights consulting analytics financial analytics product analytics or a related field.
• Advanced SQL skills including joins aggregations data transformation and working with large or complex datasets.
• Hands-on experience with Python and/or R for data analysis automation statistical analysis or modeling.
• Ability to structure an analysis from an ambiguous business problem defining the right approach methodology data needs and analytical path.
• Experience building automated workflows recurring analyses dashboards reporting pipelines or scalable analytical processes.
• Solid understanding of statistics and analytical methods such as descriptive analysis hypothesis testing regression forecasting clustering segmentation or predictive modeling.
• Experience using AI tools or techniques to improve analytical work automate tasks accelerate insight generation or enhance the quality of outputs.
• Strong communication skills with the ability to translate complex analyses into clear insights narratives and business recommendations.
• Advanced English both written and spoken.
• Advanced Excel and PowerPoint skills.
• Experience creating dashboards reports visualizations or analytical tools using platforms such as Tableau Power BI Alteryx SAS SPSS dbt or similar tools.
• Exposure to consulting banking retail marketplaces technology SaaS customer experience research consumer analytics or survey-based analytics is a plus.
• Familiarity with NPS CX analytics market benchmarking generative AI LLMs prompt engineering or AI-assisted analytics workflows is also a plus.

• We do not expect every candidate to have experience in all of these areas. We are especially interested in people who are curious structured rigorous with data and excited about using analytics automation and AI to solve real business problems.