Customer Service Analytics & Insights Analyst
- Remote, United States
- Full-time
- Mid-level
- Posted 2 days ago
or apply from Claude / ChatGPT / Muse
Analyst role mixing demand forecasting for customer service with contact-driver research, supporting streaming, player support and moderation teams.
About the role
Forecast judgment and insight work feed each other: contact drivers sharpen the forecast, and forecast gaps point to what to investigate next. Tools and models come from partner teams.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Mid-level
- Employment
- Full-time
- Skills
- Demand forecasting, Root-cause analysis, Quantitative analysis, Dashboards, GenAI
- Posted
- 27 Oct 2026
- Last checked
- 27 Oct 2026
What you will do
- Review forecast output, decide when overrides are needed and write down the reasoning.
- Build scenarios for launches, pricing changes, live events and outages, and give the final demand outlook.
- Run variance and root-cause analysis to find bias by market, channel, driver or horizon.
- Analyse contact drivers and customer experience data to explain demand shifts and friction points.
- Package findings into clear stories and recommendations for leadership.
What they look for
- Comfort with forecasting, statistical reasoning and quantitative analysis.
- Skill at turning operational context into requirements for tooling teams.
- Experience with dashboards and datasets alongside data analysts.
- Clear written communication for cross-functional partners.
Nice to have
- Qualitative and mixed-methods research experience.
- Hands-on use of GenAI and conversation-intelligence tools.
A typical week
- Check forecast output and document any overrides.
- Dig into contact drivers and customer experience data.
- Meet workforce management and capacity planning partners on the demand outlook.
- Review vendor research outputs and share insights with the team.
How Keywordise applies for you
Alex Demo
[email protected]
From your CV
Yes, fully remote
- Sent
- 09:41
- Attached
- Your tailored CV
- 1Upload your CVAdd your CV once. It takes about a minute.
- 2Tailored to this jobKeywordise writes a CV and a cover letter for this job from your real experience.
- 3The form fills itselfName, email, experience and screening questions, field by field.
- 4Application sentYou get a receipt and follow it in your dashboard.
Apply with Keywordise AI7-day free trial, no card.
Apply from your AI assistant
Connect Keywordise to your assistant once, then send it the prompt. It applies for you.
Claude
- In Claude, open Settings, then Connectors, and choose Add custom connector.
- Name it Keywordise and paste the connector URL.
- Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
ChatGPT
- In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
- Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
- Log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
Muse
- Open Muse (muse.ai or the app) and send it the message below.
- If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
- Send the prompt. Muse asks before it sends anything.
Add a custom connector called Keywordise. It is a remote MCP server at https://keywordise.com/mcp and uses OAuth. Give me the sign-in link.Muse is available in the US only for now.
Apply to Keywordise job zg3mq4kmblQuestions about this job
Is this job fully remote, and from where?
Yes. The posting lists Customer Service Analytics & Insights Analyst as a remote role for candidates in the United States.
What does this job pay?
The posting does not state a salary, so there is no figure to quote.
What experience is needed?
It is a mid-level role. The posting asks for: comfort with forecasting, statistical reasoning and quantitative analysis; skill at turning operational context into requirements for tooling teams; experience with dashboards and datasets alongside data analysts. Skills it names include Demand forecasting, Root-cause analysis, Quantitative analysis, Dashboards.
How do I apply with Keywordise AI?
Press the Apply with Keywordise AI button and add your CV. Keywordise tailors your CV and cover letter to this posting and sends the application for you, with a free 7-day trial and no card.
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