Claude Prompts for Operations Analyst Job Search

You are an expert recruiter for operations analyst roles. Here is my resume:

[PASTE RESUME]

And the job description:

[PASTE JOB DESCRIPTION]

Rewrite my bullet points to match this role. Lead each with the outcome of the analysis (a process fixed, cost saved, time cut, forecast accuracy gained, a decision it drove), quantify it, and mirror the exact tools and terms from the job description (for example SQL, Excel, Power BI, Tableau, process mapping, KPI dashboards, forecasting) without inventing anything. Flag any stretch.

Act as an ATS parser for operations analyst roles. From this job description:

[PASTE JOB DESCRIPTION]

List the tools, methods, and exact keyword phrases (for example SQL, Excel, VBA, Power BI, Tableau, process improvement, root cause analysis, KPI reporting, forecasting, ERP) an ATS would score against, ranked by prominence. Then tell me which are missing from my resume:

[PASTE RESUME]

and where I could add each one truthfully.

Help me quantify this operations analysis for my resume: [DESCRIBE THE ANALYSIS]. Ask me up to 4 questions to surface the impact (what process it touched, what decision it drove, what changed, how much time or money it affected). Then write 2 resume bullets in the format 'accomplished X by doing Y, resulting in Z'.

Write a concise cover letter for this operations analyst role:

[PASTE JOB DESCRIPTION]

Using my background:

[PASTE RESUME OR SUMMARY]

Under 250 words, no cliches. Open with a concrete reason I fit this team or domain, cite one analysis I ran and the process decision it drove, and close with a clear call to action. Match the company's tone.

Write a 4 to 5 sentence LinkedIn message to the hiring manager for this operations analyst role: [PASTE ROLE AND COMPANY]. Introduce me briefly, give one specific reason I am interested in their team or operation, and mention one relevant analysis I have done ([DETAIL]) with its result. Warm, human, under 90 words.

Act as a hiring manager interviewing me for an operations analyst role. Give me one realistic case (for example: order cycle time went up 20% last quarter, how would you investigate; or how would you measure whether a new process is actually working). After I answer, probe like a real interviewer: clarify the metric, ask what data I would pull, confounders, and how I would present the recommendation. Then tell me what a strong answer would include. Ask the question now and wait.

Generate a warm-up set for an operations analyst technical screen: 5 SQL questions rising in difficulty (joins, aggregation, window functions on an operations dataset like orders or tickets) with a sample schema, plus 2 Excel or process-metric scenarios (for example building a KPI calc or spotting an outlier). Give me the questions first. After I attempt each, show the ideal solution and explain the reasoning.

I need to practice explaining an operations finding to a non-technical stakeholder. Give me a scenario where I present a finding from [TOPIC, for example a bottleneck analysis] to a [ROLE, for example an operations director]. Play the stakeholder: ask the blunt questions they would ask ('what does this cost us?', 'what do we do Monday?'). After a few rounds, tell me where I was too technical or buried the recommendation.

Compare my resume against job descriptions for [TARGET ROLE, for example Senior Operations Analyst or Business Operations Analyst]. My resume: [PASTE RESUME]. Target job descriptions: [PASTE 2 to 3]. Identify the specific tool, method, and domain gaps between me and these roles (for example SQL depth, forecasting, a specific ERP or BI tool), ranked by how much they matter, and for each suggest the fastest credible way to close or reframe it.