Smartly
Compensation and Insights Analyst
New York, New York, United States
Sponsorship not specified$80k-$100kDetected 7 days ago
PythonSQLData VisualizationExcelRecruitingHRISCustomer SupportCommunicationProblem Solving
About the role
- This role sits at the intersection of Total Rewards, People Analytics, and HR technology.
- We take into consideration an individual's background, expertise, and experience in determining final salary.
Responsibilities
- Validate and audit HR data, identifying data quality issues and resolving them proactively
- Explore and implement innovative approaches-including AI, automation, and analytics-to improve how the People team works, enabling more scalable, data-informed decision making across the employee lifecycle
- Experience building dashboards or data visualizations using BI tools (e.g., Tableau, Power BI, Looker)
- Smartly is the only company in the industry recognized as a Leader in The Forrester Wave: Creative Advertising Technologies with PwC validating the results it delivers for brands.
- We manage creative and media for 700+ brands worldwide and $6B in ad spend across the largest media platforms, including Facebook, Google, Instagram, Pinterest, Snap, and TikTok.
- Together, we want to create and maintain an inclusive environment where everyone feels respected and heard.
- Creative Advertising Technologies with PwC validating the results it delivers for brands.
Requirements
- Minimum of 2 years of experience in compensation, people analytics, HRIS, workforce analytics, or a similar analytical role.
- Ability to translate data into clear insights and recommendations
- Strong communication skills with the ability to explain analytical concepts to both technical and non-technical audiences.
Nice to have
- Experience with Workday (Core HCM and/or Compensation).
- Experience using SQL, Python, or similar tools to query, automate, or analyze data.
- Experience with AI tools to improve reporting, analysis, or operational efficiency
- And so much more…
- This information is provided in accordance with applicable law.
- Smartly is the AI-powered advertising technology company transforming ad experiences for brands and their consumers.
- Visit Smartly to learn more.
Compensation
- Support and administer Smartly's global compensation programs, including market pricing, offers, promotions, internal moves, job evaluations, and annual compensation cycles in partnership with the Head of Total Rewards.
- Manage salary survey participation, compensation reporting, and analyses that support business decisions.
- Analyze internal and external compensation data to provide recommendations that support equitable, competitive and consistent pay decisions.
- Partner with HRBPs, Talent Acquisition, Finance, and business leaders to support compensation-related decisions and guidance.
- Maintain and continuously improve Smartly's compensation infrastructure, including Workday compensation configuration, salary structures, and the global job architecture.
- Build and maintain dashboards, reports, and workforce analyses that support compensation and broader People decisions.
- We take into consideration an individual's background, expertise, and experience in determining final salary.
- Salary in USD: $80,000 - $100,000
Benefits
- Five weeks paid time off (PTO), 11 company paid holidays, unlimited sick days
- Generous healthcare packages & mental health benefits
- 401K plus matching & equity grants for all new Smartlies
- Wellness benefit & learning reimbursement opportunities
- Volunteer time off days & company donation matching opportunities
- The base pay range for this position is as mentioned below per year, plus an annual performance bonus.
- Our Diversity, Equity & Inclusion approach is at the heart of it.
Company info
- Smartly is committed to being the best place to work for growth-minded individuals to thrive - explore more in our Culture Handbook!
Apply directly at Smartly →Create a free account for alerts like thisView Smartly immigration profile
This listing is sourced directly from Smartly's careers page and normalized into a canonical job model.