Fivetran 12 дней назад

Senior Data Analyst, People

Зарплата не указана

РЫНОК

8 717 ₽медиана по профессии

Data Analyst · 9 вакансий с указанной зарплатой

6 250половина предложений: 8 167–10 50044 704

Работодатель не указал зарплату — сравните с рынком сами.

USA - New York (dbt)

Обязанности

01Define and own core People metrics; establish clear definitions and reporting across headcount, hiring, retention, organizational health, employee experience, and talent development.
02Build scalable analytical products; create canonical datasets, models, and self-service tools and dashboards for People teams and leaders.
03Serve as a trusted thought partner; translate analyses into clear narratives and recommendations for audiences from functional operators to senior executive leadership.
04Work closely with Engineers to improve Fivetran's own HRIS and ATS connectors.
05Set a high bar for responsible People Analytics; help establish strong practices around data quality, integrity, governance, privacy, appropriate access, and responsible use of sensitive employee data.
06Turn people data into decisions; analyze complex and disparate datasets to identify trends, surface opportunities, and provide actionable recommendations to People leaders and business stakeholders.
07Shape analytics culture; mentor other analysts and partners, establish analytical best practices, and help People teams develop stronger data fluency and decision-making habits.
08Work across the employee lifecycle — from recruiting and workforce planning to employee experience, learning and development, performance, and retention — turning complex people data into insights that shape how we build and support our teams.

015+ years of experience in analytics, data science, business intelligence, or a related analytical role
02Advanced proficiency in SQL and data modeling, with experience working across large, complex datasets
03Experience using Looker, Tableau, Sigma, or similar business intelligence and visualization tools
04Strong analytical judgment and a track record of translating ambiguous business questions into structured analyses and actionable recommendations
05Exceptional attention to detail and a high bar for data quality, analytical rigor, and reproducibility
06Excellent communication and data storytelling skills; you can make complex findings intuitive and help decision-makers understand not just what is happening, but why it matters and what to do next
07Comfort operating in ambiguity, developing hypotheses, and owning analytical problems end-to-end
08Strong cross-functional instincts and the ability to build trusted relationships with both technical and non-technical partners
09A builder mindset: you look beyond answering one-off questions and create frameworks, datasets, and tools that make future decisions faster and better
10Passion for using data to improve how organizations attract, develop, and support their people
11Experience using analytics to support key business decisions, preferably at a high-growth, SaaS, or B2B product company

01Full-time, flexible hybrid position based out of Oakland, CA or NYC, NY office
02Hybrid work model offers a blend of remote flexibility and in-person collaboration
03No mandate on number of days required; encouraged to come in every week to collaborate