Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Turing
## Role Overview
- *About Turing**
Turing is an AI-powered tech services company with a mission to accelerate AGI advancement and deployment by bridging the gap between global talent from 100+ countries and the world's best foundational LLM companies, by helping them improve performance through model evaluation, fine-tuning, feedback, factuality and handling diverse data.
- *Role Overview**
We're looking for a Product Analyst who has worked closely with product teams and knows how to turn ambiguous questions into clear, decision-driving insights. This is not just about pulling data-it's about understanding the "why" behind requests, framing the right analysis, and communicating findings in a way that influences product direction.
In this role, you will help create and evaluate realistic analytics scenarios and artifacts for an AI benchmark. You'll bring strong analytical thinking, practical experience with experimentation, and the ability to reflect how real-world product analytics actually works-messy data, evolving metrics, and all.
- *What does day-to-day life look like?**
You'll operate as both an analyst and a builder of realistic product analytics environments:
- Translate product questions into structured analytical approaches and clearly defined problem statements
- Conduct analyses on product metrics such as activation, retention, and engagement
- Design, support, and evaluate A/B tests, including defining success metrics and interpreting results
- Write high-quality analytical artifacts-experiment summaries, deep-dive memos, stakeholder updates, and more
- Review analytics outputs (docs, Slack threads, Jira tickets) for realism and quality-does this reflect how real teams work?
- Push for clarity when requests are vague-understand what decision the analysis is meant to inform
- Navigate messy datasets, imperfect tracking, and inconsistent metric definitions while still producing useful insights
- Communicate findings effectively across formats-from quick Slack updates to detailed reports for leadership
- *Requirements**
- *Core Experience**
- 3+ years of product analytics experience in tech or SaaS companies
- Experience working directly with product managers and cross-functional teams
- Proven track record of writing analysis docs, experiment summaries, or stakeholder-facing insights
- *Analytical & Technical Skills**
- Strong SQL skills and hands-on experience with analytics tools (e.g., Amplitude, Mixpanel, Looker)
- Experience running or supporting A/B tests and analyzing experiment results
- Solid understanding of key product metrics, including activation, retention, and engagement
- Comfortable dealing with ambiguous or evolving metric definitions and helping teams align on measurement
- *Ways of Working**
- Ability to scope ambiguous requests and clarify the decision they are meant to inform
- Strong written communication skills across formats (Slack, email, detailed memos)
- Experience managing incoming analysis requests or mentoring junior analysts is a plus
- Comfortable working with imperfect data and making thoughtful, well-reasoned recommendations
- *Offer Details**
- **Commitments Required:** 40 hours per week with overlap of 6 hours with PST.
- **Engagement Type:** Contractor assignment (no medical/paid leave)
- **Duration of Contract:** 3 months (adjustable based on engagement)
- **Location:** USA
- *Evaluation Process**
- Data Analyst assessment (\~20 minutes)
- Interview on SQL (\~45 minutes)
Source: Turing careers