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Remote · Data Analyst

People Business Intelligence Analyst

GoDaddy · India · India

Remote Posted Open until 18 Oct 2026
  • Remote This is a remote position, so you’ll be working remotely from your home. — job description

The job, in the employer's words

Location Details: India, Remote

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.

This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.  


Join Our Team

At GoDaddy, we believe better workforce decisions start with trusted data. We're growing our People Analytics capabilities and looking for a People Business Intelligence Analyst to help us build clear, reliable reporting that supports our People team and business leaders.

Are you someone who enjoys finding patterns in complex datasets and transforming information into meaningful stories? Do you like solving challenges that directly influence how organisations hire, develop, and support employees?

You'll own the data mapping work that connects source systems (HRIS, ATS, payroll, engagement surveys, etc.) into our Redshift warehouse, and build the dashboards, reports, and AI solutions that people leaders, HRBPs, and executives actually use to make decisions!

Working with HR systems, analytics platforms, and AI-powered tools, this role helps us understand workforce trends, improve reporting, and maintain trusted data across the employee lifecycle. We are committed to creating an inclusive hiring process and will provide reasonable accommodations for candidates who need additional support. We'd love to hear from you!

What you'll get to do...

  • Map and document data flows from HR source systems into Redshift, including field definitions, lineage, and business logic (e.g., how "headcount," "attrition," or "time-to-fill" are calculated). Maintain a data dictionary and metric glossary to ensure definitions remain consistent across teams and dashboards
  • Build and maintain dashboards in QuickSight and Power BI covering key people metrics including headcount, turnover, hiring funnel performance, DEI representation, engagement, compensation equity, and span of control
  • Write and optimise SQL queries in Redshift to support recurring reporting, ad hoc analysis, and leadership reporting needs
  • Partner with HRBPs, Talent Acquisition, Compensation & Benefits, and People leadership to understand business questions and translate them into meaningful data models, analysis, and visualisations. Ensure sensitive HR data is handled in line with privacy and access-control policies (PII, comp data, protected classes)
  • Identify and resolve data quality issues at the source or within the mapping layer, including duplicate records, inconsistent coding structures, and broken joins across systems. Support recurring reporting cycles including monthly headcount reviews, quarterly board reporting, annual compensation reviews, and ad hoc requests from leadership

Your experience should include...

  • 6+ years of experience in Business Intelligence, Analytics, Data Visualisation, or a related field, along with a Bachelor's degree in Business, Mathematics, Statistics, Computer Science, or a similar field
  • Strong SQL skills and experience writing, troubleshooting, and optimising queries against a cloud data warehouse such as Amazon Redshift
  • Advanced expertise building and maintaining dashboards in Amazon QuickSight, Power BI, Tableau, or similar business intelligence platforms
  • Experience with data mapping and ETL concepts, including understanding how data moves from source systems into data lakes and warehouses, identifying where issues can occur, and resolving them effectively

You might also have...

  • Willingness to work United States East Coast hours (UTC -4 / UTC -5)
  • 3+ years of experience in People Analytics, Recruiting Analytics, HR data, or other highly regulated and governance-driven data environments
  • Exposure to HRIS platforms such as Workday, SAP SuccessFactors, ADP, BambooHR, and ATS platforms such as Greenhouse or Lever. Experience working with people metrics frameworks, including SHRM and ANSI HR metrics standards
  • Familiarity with AWS data lake technologies including S3, Glue, Athena, and Redshift. Basic Python or R proficiency for data cleaning, automation, and analysis
  • Prompt engineering experience, Experience building generative AI and agentic AI solutions

We encourage you to apply even if your experience or skillset doesn’t align perfectly with every requirement. We value a wide range of backgrounds and transferable skills, and we are excited to support learning and growth.

We've got your back...  We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy’s benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

About us...  GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. 

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that’s not enough to build true equity and belonging in our communities. That’s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It’s the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. 

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to myrecruiter@godaddy.com. 

GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.

Benefits mentioned

  • Map and document data flows from HR source systems into Redshift, including field definitions, lineage, and business logic (e.g., how "headcount," "attrition," or "time-to-fill" are calculated). Maintain a data dictionary and metric glossary to ensure definitions remain consistent across teams and dashboards
  • Build and maintain dashboards in QuickSight and Power BI covering key people metrics including headcount, turnover, hiring funnel performance, DEI representation, engagement, compensation equity, and span of control
  • Write and optimise SQL queries in Redshift to support recurring reporting, ad hoc analysis, and leadership reporting needs
  • Partner with HRBPs, Talent Acquisition, Compensation & Benefits, and People leadership to understand business questions and translate them into meaningful data models, analysis, and visualisations. Ensure sensitive HR data is handled in line with privacy and access-control policies (PII, comp data, protected classes)
  • Identify and resolve data quality issues at the source or within the mapping layer, including duplicate records, inconsistent coding structures, and broken joins across systems. Support recurring reporting cycles including monthly headcount reviews, quarterly board reporting, annual compensation reviews, and ad hoc requests from leadership

No Mondays shows this listing as the employer published it. Check the details on the employer's site before you apply.

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