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Senior Data Analyst

Kani SolutionsUnited States🇺🇸United StatesPosted Oct 13, 2026

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

Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
1 week ago
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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