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Data Analytics Specialist Fully Remote

Mercor

Canada · On-site Part-time $40 – $60/hr 3w ago

About the role

Below is a quick snapshot of the Expert Evaluator role at Mercor, followed by a few practical tips on how you can position yourself as a strong candidate (including a short cover‑letter template you can adapt).


📋 Role Overview

Company Mercur (Mercor) – AI‑research talent marketplace
Location Remote (HQ in San Francisco)
Employment type Part‑time (20‑40 hrs/week)
Pay $40 – $60 / hour
Key responsibilities • Review AI‑generated research reports for factual accuracy, relevance, data integrity, and clarity.
• Validate business insights drawn from sales data, KPI dashboards, market research, and competitor analysis.
• Cross‑check tables, statistics, and performance metrics against public sources and industry references.
• Spot inconsistencies in sales reporting, marketing data interpretation, and competitor intel.
• Work independently, meet deadlines, and keep evaluation standards consistent.
Must‑have qualifications • 2‑3 years in Business Intelligence, Data Analytics, Sales Ops, or Marketing Analytics.
• Hands‑on experience with sales reports, KPI dashboards, performance metrics, and competitor analysis.
• Proven ability to source & validate tables, statistics, and business data from credible public sources.
• Strong analytical mindset, attention to detail, and excellent written communication.
• Comfortable working async and independently.
• Bachelor’s/Master’s in Business Analytics, Data Science, Statistics, Economics, Marketing, Finance, or related field.
Application flow (≈20‑30 min) 1️⃣ Upload resume → 2️⃣ AI interview (resume‑based) → 3️⃣ Submit form
Support Docs: https://talent.docs.mercor.com/welcome/welcome
Help: support@mercor.com

🎯 How to Make Your Application Stand Out

Step What to do Why it matters
1️⃣ Tailor your résumé • Highlight any evaluation, audit, or data‑validation work you’ve done (e.g., “Validated quarterly sales dashboards for 5 + business units, reducing reporting errors by 12%”).
• List tools you’re proficient with (SQL, Tableau/Power BI, Looker, Excel, Python/R for data cleaning, etc.).
• Emphasize public‑source verification experience (e.g., “Cross‑checked market‑size estimates against SEC filings, Statista, and industry reports”).
Mercor wants proof you can spot‑check AI‑generated content and back it up with credible data.
2️⃣ Prepare for the AI interview • Review the bullet points in the job description; the AI will likely ask you to give concrete examples that map to each responsibility.
• Have a STAR (Situation‑Task‑Action‑Result) story ready for:
 – Detecting a data inconsistency in a KPI dashboard.
 – Validating a competitor‑analysis table using public filings.
 – Communicating a complex data‑quality issue to non‑technical stakeholders.
The AI interview is essentially a structured behavioral screen. Concrete, metric‑driven stories will score higher.
3️⃣ Showcase your independent‑work style • Mention any remote or async projects you’ve completed (e.g., freelance analytics contracts, open‑source data‑validation contributions).
• Highlight tools you use to stay organized (Notion, Asana, Trello, Git for version‑controlled analysis).
The role is fully async; they need confidence you can deliver without micromanagement.
4️⃣ Demonstrate domain knowledge • If you have experience in AI/ML research labs, tech‑product analytics, or SaaS sales ops, surface that.
• Cite any familiarity with industry‑standard references (e.g., Gartner, IDC, Statista, SEC filings, World Bank data).
Mercor’s clients are AI labs; familiarity with tech‑centric data sources is a plus.
5️⃣ Add a brief, targeted cover letter Keep it to 3‑4 short paragraphs:
1️⃣ Why you’re excited about Mercor’s mission.
2️⃣ How your 2‑3 years of BI/analytics experience aligns with the core duties.
3️⃣ One concrete example of data validation/quality‑control work.
4️⃣ A closing line that reiterates your availability for the part‑time schedule.
A concise, customized note signals genuine interest and attention to detail.

✍️ Sample Cover‑Letter (Feel free to edit)

[Your Name]
[City, State] • [Phone] • [Email] • [LinkedIn]

[Date]

Hiring Team – Mercor
San Francisco, CA (Remote)

Dear Mercor Hiring Team,

I’m excited to apply for the Expert Evaluator (part‑time) role. With over three years of experience in business intelligence and sales‑operations analytics—most recently at [Current/Recent Company] where I audited KPI dashboards for a $200M SaaS portfolio—I have a proven track record of spotting data inconsistencies, validating performance metrics against public sources, and communicating findings clearly to cross‑functional stakeholders.

In my current role I:
* Conducted weekly validation of sales‑pipeline reports, cross‑referencing CRM data with public SEC filings and industry benchmarks (Statista, Gartner). This reduced reporting errors by 15% and improved forecast accuracy.
* Built and maintained a competitor‑analysis repository, pulling data from Crunchbase, CB Insights, and company earnings releases, and regularly flagged outdated or contradictory figures for senior leadership.
* Delivered concise, data‑driven executive summaries that distilled complex statistical insights into actionable recommendations—skills directly aligned with evaluating AI‑generated research reports for clarity and relevance.

I thrive in asynchronous environments; over the past year I successfully completed multiple remote consulting projects using tools such as Notion, Asana, and Git‑based version control to keep deliverables on schedule without direct supervision. The prospect of applying my analytical rigor to ensure the highest quality of AI‑generated business insights at Mercor is genuinely motivating.

Thank you for considering my application. I look forward to the opportunity to discuss how my background in data validation and business reporting can contribute to Mercor’s mission of connecting elite talent with leading AI labs.

Best regards,

[Your Name]

✅ Next Steps Checklist

  1. Polish your résumé – incorporate the keywords above.
  2. Record a short “elevator pitch” (30‑45 s) that hits the STAR points; you may need it for the AI interview.
  3. Complete the AI interview – keep a quiet environment, have your résumé handy, and answer with concrete numbers.
  4. Submit the application form – double‑check that the uploaded files are the latest versions.
  5. Follow‑up – if you haven’t heard back within a week, a brief email to support@mercor.com expressing continued interest can help keep you top‑of‑mind.

Need More Help?

  • Resume review? Drop your current draft and I can suggest bullet‑point refinements.
  • Practice AI interview? I can simulate a few typical questions and give feedback on your responses.
  • Industry data sources? Let me know which metrics you’ll likely need to validate, and I can list the most reliable public repositories.

Just let me know what you’d like to focus on, and we’ll get you ready to land the role! 🚀

Requirements

  • Experience with sales reports, KPI dashboards, performance metrics, or competitor analysis.
  • Hands-on exposure to market research data and business performance tracking.
  • Strong understanding of data interpretation, trend analysis, and business reporting.
  • Experience sourcing and validating tables, statistics, and business data from credible public sources.
  • Strong analytical skills and attention to detail.
  • Excellent written communication skills.
  • Comfort working independently and asynchronously.

Responsibilities

  • Evaluate agent-generated research reports for accuracy, relevance, data integrity, and clarity.
  • Assess the correctness of business insights derived from sales data, KPI dashboards, and market research.
  • Verify tables, statistics, and performance metrics using publicly available sources and industry-standard references.
  • Identify inconsistencies in competitor analysis, sales reporting, and marketing data interpretation.
  • Work independently and asynchronously to complete evaluations within deadlines.
  • Maintain consistency and precision across all assigned tasks.

Skills

Business IntelligenceData AnalyticsMarketing AnalyticsSales Operations

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