> Markdown version of [/jobs/ext/3762321-senior-data-analyst](https://www.wearedevelopers.com/jobs/ext/3762321-senior-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). --- # Senior Data Analyst - **Company:** Kani Solutions - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Software Debugging, Python (Programming Language), Machine Learning, Cloud Services, Standard Sql, Salesforce.Com, SQL Databases, Systems Integration, Tableau (Software), Data Ingestion, Large Language Models, Prompt Engineering, Software Version Control, Databricks - **Published:** October 15, 2026 - **Apply:** https://www.dice.com/job-detail/7b21928e-56d5-4ebd-ab65-b9946878edb1 ## About the Role · 5+ years in analytics, BI, or data science · Advanced Tableau (dashboards, data modeling, performance) · Strong SQL and data modeling · Working Python for automation, integrations, and analysis · Comfort with version control, APIs, and reading and debugging code (generated or hand-written) · Hands-on experience with AI tools (LLM APIs, prompt design, or agent workflows) · Strong communication with executives and business teams Nice-to-haves · Databricks (SQL, notebooks) or similar cloud data platforms · MCP or other tool-connection standards · Tableau Cloud, Pulse, or Next; Salesforce or CRM analytics · Slackbot, Slack workflows, or building agents in Slack · Experience testing or evaluating AI output for accuracy What this person will actually do: · Build dashboards and define governed KPIs · Build agent skills, tasks, and workflows that answer business questions from governed data · Deliver alerts and insights in Slack · Test agent accuracy and monitor it over time ## Description · Reports into [hiring manager / department]; works closely with our one data scientist. · The data scientist owns data ingestion, Databricks pipelines, and machine learning. This hire owns everything downstream: curated datasets, metric definitions, Tableau, and AI-driven insight delivery.