At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny.
The goal of our People Science & Analytics team is to provide evidence-based data and insights across the employee life cycle to drive strategic talent and business decisions. Klaviyo is looking to add to our growing People Science & Analytics team with a strong member who can be an integral part of our mission to synthesize qualitative and quantitative data, esp. voice of our customers (Klaviyo employees), across the lifecycle journey to drive impactful, meaningful and measurable talent experience and outcomes. This role will strike a balance of listening through quantitative and qualitative channels, synthesize the findings through deep data analysis, and deliver insights and actions while educating and empowering our stakeholders.
How you’ll make a difference:
- Surface clear, actionable story and insights about our employee experience by analyzing data from multi-channel sources (surveys, focus groups, townhalls, demographics, etc.)
- Conduct advanced analytics (such as regressions, correlations, decision trees) to analyze quantitative data in depth and connecting to hiring, performance, retention, productivity and other exploratory areas to identify impactful insights proactively
- Be a strong partner to our internal stakeholders to tell compelling stories grounded in data insights and enable them to action upon them
- Leverage and design innovative listening channels (e.g. employee focus groups/in-depth interviews, town halls, candidate experience, exit surveys, onboarding, pulses) and synthesize findings from quantitative and quantitative channels to surface insights on the employee experience at Klaviyo
- Ability to conduct qualitative analysis leveraging statistical or AI tools
- Partner closely with our Senior People Leaders to provide the insights needed to enable their teams to action on insights within their lines of business
- Manage survey vendor, preparations for launch, stakeholder communications, trainings, and support materials, and other aspects of survey operations
- Translate data analysis into actionable insights and support action planning org wide, including creation of plans, providing recommended learning resources, and personalized nudges.
- Continuously improve listening data architecture, measurement strategies, privacy protection, and reporting practices
- Ensure all appropriate data privacy, security, and controls requirements are followed
Who you are:
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- Solid story-teller grounded in data and research
- Consultant mindset with a strong drive to solve internal customer/client problems
- 6+ years experience in HR analytics, employee experience, surveys/listening
- Mixed-methods research and analysis experience
- Deep experience in synthesizing multi-channel datasets and storytelling
- Tech savvy with experience in navigating survey platforms, responsible AI solutions in this space, and partnering with vendors
- Experience designing and managing employee surveys end-to-end, from gathering requirements; designing survey items and invitation logic; working with cross-functional teams and vendor to manage fielding; analyzing results and creating reports; and presenting insights to senior leaders
- Excellent research management and organizational skills, acute attention to detail, and ability to balance multiple tasks in a constantly evolving environment
- Extremely strong communication, visualization, and articulation skills to deliver meaningful insights to shape People decisions
- Deep expertise with application of analytic techniques, including experience with analytics and visualization platforms (e.g., R, SPSS, SAS, Tableau, SQL)
- Hands-on experience managing, analyzing, and troubleshooting survey and other data
- Proven ability to communicate technical concepts, such as sentiment analysis and topic modeling, along with implications, to business and technical audiences
- Experience designing and running focus groups and other qualitative methods of listening data collection
#CR1 #San Francisco #LI-Hybrid
The pay range for this role is listed below. Sales roles are also eligible for variable compensation and hourly non-exempt roles are eligible for overtime in accordance with applicable law. This role is eligible for benefits, including: medical, dental and vision coverage, health savings accounts, flexible spending accounts, 401(k), flexible paid time off and company-paid holidays and a culture of learning that includes a learning allowance and access to a professional coaching service for all employees.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.