People Analytics Specialist

Position Summary: We are seeking a curious, driven, tech-savvy and proactive People Analytics Specialist to join our growing Series B tech startup. This role will be responsible for building and maintaining dashboards, running data analyses, and implementing automation across People processes. It’s a great fit for someone with strong technical skills, a problem-solving mindset, and a passion for people data. You’ll work closely with Total Rewards, HRBPs, Talent, and other stakeholders to ensure data quality, build scalable tools, and surface insights that shape our People strategy. This is not a managerial role, but a critical specialist position within the People Analytics & Ops function.

The impact you will have:

• Analyze People data (e.g., headcount, performance, engagement, attrition) to identify patterns, trends, and opportunities.
• Build, improve, and maintain dashboards in Looker Studio and Google Sheets for various stakeholders across People.
• Automate manual HR processes using tools like Google Apps Script, Python, or no-code platforms.
• Audit data from systems like Greenhouse, Rippling, and Google Sheets Databases, ensuring quality and consistency.
• Support performance and compensation cycles with data preparation, analysis, and reporting.
• Collaborate with People Ops and cross-functional teams to implement scalable workflows.

What we’re looking for:

• HR Data Experience: 2–4 years working in People Analytics, People Ops, or similar HR data-heavy roles. Experience with HR systems like Rippling or Greenhouse is a plus.
• Analytical Skills: Proven ability to work with messy data, find trends, and turn them into insights. Strong Excel/Sheets skills required.
• Tech-Savvy Mindset: Experience automating workflows using Google Apps Script, Python, Zapier, or similar tools.
• Visualization Skills: Proficiency in creating dashboards in Looker Studio, Tableau, or similar tools.
• Detail-Oriented and Efficient: You enjoy making things simpler, cleaner, and more scalable. You spot inconsistencies and fix them.
• Data Proficiency: Strong hands-on experience working with structured datasets. Ability to clean, transform, and analyze data using SQL and/or Google Sheets formulas is essential. Experience with data pipelines or scripting (e.g., Python) is highly valued.
• Collaborative Communicator: Able to explain data and logic clearly to non-technical stakeholders. Comfortable working cross-functionally.

About the Team:

Our HR Operations team is a diverse group of professionals located across the US and LATAM, combining a mix of junior and senior talent. This blend of perspectives creates a collaborative, fast-learning environment where everyone has something to contribute and something to learn.

We value clarity and alignment, which is why we prioritize structured collaboration. We stay connected through daily standups, bi-weekly syncs with the broader People team, and monthly alignment meetings with HR and Talent. In between, we rely on detailed documentation, Slack, Loom, and email to work efficiently and transparently.

Our team culture is supportive, curious, and people-first. We take pride in being approachable, warm, and always willing to lend a hand. This is a great team for someone who thrives in collaborative spaces, values kindness, and is always looking to grow.

Learn about TRM Speed in this position:

• Build a ‘Minimum Viable’ Dashboard (skateboard) in One Week: Instead of waiting to collect every single data input or stakeholder request, the specialist launches a first version of a dashboard in just a few days—focused on 80% of the value using the most critical metrics. This allows stakeholders to begin using the data immediately, and gives space to iterate based on real feedback rather than assumptions.
• Conducting Fast, Actionable Analyses for Leadership: A request comes in on a Monday to understand attrition patterns among high performers. By Tuesday, the specialist delivers a clean, directional analysis highlighting key risk areas—without waiting for the “perfect” dataset. By acting fast, leadership gets early insights that shape immediate decisions, with a follow-up deep-dive planned once priorities are clear.
• Automating Manual Processes Under Tight Deadlines: When a compensation cycle or performance review is approaching, the specialist proactively builds a lightweight automation (e.g., using Apps Script or Zapier) in just a few hours to eliminate a repetitive manual task—like data cleaning or email generation. Even if it's not the long-term solution, the quick win immediately reduces workload and errors while buying time for future refinement.