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Senior Data Analyst

Kani SolutionsUnited States🇺🇸United States

Why this role stands out

This hybrid Senior Data Analyst role at Kani Solutions offers significant growth opportunities within a reputable technology company, allowing you to leverage your analytical skills to drive impactful insights. You'll thrive in this collaborative environment if you are a proactive problem-solver eager to contribute to innovative projects and develop your expertise. Apply today to join a dynamic team and make your mark!

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationUnited States
SQLMachine LearningTableauDatabricksLLMPython

Job description

Role Title: Senior Data Analyst
Contract Type: 40 hours per week (12 Month Contract)
Location: Remote U.S. (PST preferred); however, we are open to candidates located in EST/CST time zones and Canada.

Team context

· 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.

· This is not a pipeline engineering or machine learning role.

Must-haves

· 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

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