> Markdown version of [/jobs/ext/3278733-data-analyst](https://www.wearedevelopers.com/jobs/ext/3278733-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - **Company:** Confido, LLC - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Business Analytics Applications, Data Analysis, Big Data, Freeform SQL, Sql Optimization, Build Management, Looker Analytics - **Published:** September 11, 2026 - **Apply:** https://www.thejobnetwork.com/job/senior-data-analyst-509965103 ## About the Role * 4+ years of experience in data analysis or analytics roles * Advanced SQL skills and experience working with large datasets * Strong experience building dashboards and analytical reports * Ability to translate data into clear insights and recommendations * Strong communication skills working with technical and non-technical stakeholders Nice to Have * Experience with BI tools (Omni, Looker, Mode, etc.) * Experience working with financial, retail, or operational datasets * Comfort working directly with users * Interest in early-stage startups and high-ownership roles * Technical or quantitative degree ## Description * Partner with product, engineering, and customers to understand analytics needs * Design and build dashboards, reports, and analytical tools for internal and external users * Write complex SQL queries to analyze large-scale financial and operational datasets * Define and maintain key business metrics and KPIs * Identify trends, anomalies, and opportunities within retailer and financial data * Drive analytical projects from exploration through delivery * Collaborate with engineers to improve data models and underlying datasets Example Problems * Building custom dashboards for brands to understand retailer performance * Analyzing deduction and dispute data to identify operational inefficiencies * Designing analytics that help brands forecast sales and demand * Combining and transforming data into clean, analysis-ready datasets that power actionable insights * Turning complex financial data into intuitive visual insights