Verified Job
IT / Software / Data Analyst
Senior People Analytics Data Engineer
IT / Software / Data Analyst
#16416
Remote / WFH
Avalara APAC
Job Description
What You'll Do
The Senior People Analytics Data Engineer - will own workforce data transformation and modeling within our modern cloud data stack, enabling consistent, trusted decision-making across the People function.
Based remotely in India or from our Pune office (hybrid), you will build scalable, reusable workforce data models that convert HR and business data into reliable, structured datasets. Partnering closely with People leaders, you will standardize core workforce metrics and strengthen long-term data trust across dashboards and reporting layers.
Reporting to the Head of People Analytics, this role operates independently within a global SaaS environment and focuses on scalable transformation and modeling — not infrastructure engineering or predictive data science.
What Your Responsibilities Will Be
You will own the end-to-end design and integrity of workforce data models, including dimensional structures, grain definition, and SCD logic.
You will build and optimize transformation frameworks using dbt and advanced SQL within our cloud data warehouse.
You will standardize and govern core People metrics, ensuring consistent definitions across dashboards and reporting layers.
You will translate business requirements into scalable, reusable data models.
You will implement and maintain testing, validation, and documentation practices to strengthen long-term data trust.
You will proactively resolve metric inconsistencies and reduce reporting conflicts.
You will partner directly with senior People stakeholders to drive clarity and alignment in workforce reporting.
What You’ll Need To Be Successful
You have 7+ years of experience in Analytics Engineering, Data Modeling, or related data roles.
You hold a bachelor's degree in computer science, Information Systems, Data Science, Statistics, or a related quantitative field.
You have strong expertise in advanced SQL (window functions, complex joins, CTE structure, performance optimization).
You have hands-on experience with dbt and building scalable transformation layers.
You have deep knowledge of dimensional modeling, including fact/dimension design and SCD logic.
You have worked in a cloud data warehouse (Snowflake preferred; BigQuery or Redshift acceptable).
You understand core People metrics (headcount, attrition, workforce movement, compensation, diversity).
You are comfortable partnering with senior stakeholders, translating business needs into structured data solutions.
You have experience leveraging AI capabilities within cloud data platforms (e.g., Snowflake Cortex, LLM-assisted analytics, or AI-driven data validation) to enhance transformation of workflows and metric reliability.
You have experience working in People Analytics or HR Analytics environments, and familiarity with Workday reporting or HCM data integration is beneficial.
Avalara is an AI-first Company
AI is embedded in our workflows, decision-making, and products. Success here requires embracing AI as an essential capability.
You’ll bring experience using AI and AI-related technologies, ready to thrive here.
You’ll apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers.
You’ll grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too.
How We’ll Take Care Of You
Total Rewards
In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses.
Health & Wellness
Benefits vary by location but generally include private medical, life, and disability insurance.
Inclusive culture and diversity
Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship.
What You Need To Know About Avalara
We’re defining the relationship between tax and tech.
We’ve already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we’re not slowing down until we’ve achieved our mission - to be part of every transaction in the world.
We’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. We’ve been different from day one. Join us, and your career will be too.
We’re An Equal Opportunity Employer
Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, ****** orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.
The Senior People Analytics Data Engineer - will own workforce data transformation and modeling within our modern cloud data stack, enabling consistent, trusted decision-making across the People function.
Based remotely in India or from our Pune office (hybrid), you will build scalable, reusable workforce data models that convert HR and business data into reliable, structured datasets. Partnering closely with People leaders, you will standardize core workforce metrics and strengthen long-term data trust across dashboards and reporting layers.
Reporting to the Head of People Analytics, this role operates independently within a global SaaS environment and focuses on scalable transformation and modeling — not infrastructure engineering or predictive data science.
What Your Responsibilities Will Be
You will own the end-to-end design and integrity of workforce data models, including dimensional structures, grain definition, and SCD logic.
You will build and optimize transformation frameworks using dbt and advanced SQL within our cloud data warehouse.
You will standardize and govern core People metrics, ensuring consistent definitions across dashboards and reporting layers.
You will translate business requirements into scalable, reusable data models.
You will implement and maintain testing, validation, and documentation practices to strengthen long-term data trust.
You will proactively resolve metric inconsistencies and reduce reporting conflicts.
You will partner directly with senior People stakeholders to drive clarity and alignment in workforce reporting.
What You’ll Need To Be Successful
You have 7+ years of experience in Analytics Engineering, Data Modeling, or related data roles.
You hold a bachelor's degree in computer science, Information Systems, Data Science, Statistics, or a related quantitative field.
You have strong expertise in advanced SQL (window functions, complex joins, CTE structure, performance optimization).
You have hands-on experience with dbt and building scalable transformation layers.
You have deep knowledge of dimensional modeling, including fact/dimension design and SCD logic.
You have worked in a cloud data warehouse (Snowflake preferred; BigQuery or Redshift acceptable).
You understand core People metrics (headcount, attrition, workforce movement, compensation, diversity).
You are comfortable partnering with senior stakeholders, translating business needs into structured data solutions.
You have experience leveraging AI capabilities within cloud data platforms (e.g., Snowflake Cortex, LLM-assisted analytics, or AI-driven data validation) to enhance transformation of workflows and metric reliability.
You have experience working in People Analytics or HR Analytics environments, and familiarity with Workday reporting or HCM data integration is beneficial.
Avalara is an AI-first Company
AI is embedded in our workflows, decision-making, and products. Success here requires embracing AI as an essential capability.
You’ll bring experience using AI and AI-related technologies, ready to thrive here.
You’ll apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers.
You’ll grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too.
How We’ll Take Care Of You
Total Rewards
In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses.
Health & Wellness
Benefits vary by location but generally include private medical, life, and disability insurance.
Inclusive culture and diversity
Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship.
What You Need To Know About Avalara
We’re defining the relationship between tax and tech.
We’ve already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we’re not slowing down until we’ve achieved our mission - to be part of every transaction in the world.
We’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. We’ve been different from day one. Join us, and your career will be too.
We’re An Equal Opportunity Employer
Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, ****** orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.
