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Senior Business Analytics Engineer - India

Juniper Square · Business Technology
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IndiaFull-timePosted 1w ago

About the role

Senior role focused on producing and governing revenue metrics (ARR, CARR, backlog) across Sales, Finance, Fund Administration and leadership. Owns dbt transformations and semantic-layer definitions, translates business questions into technical requirements, and builds AI-assisted reporting. Located in India with full-time employment.

Responsibilities

  • Own dbt models for revenue and customer data sourced from CRM, CPQ, billing, and ERP systems
  • Model the chain from quote to order to provisioning to invoice to recognized revenue at the entity and service grain
  • Move reporting-level data generation out of Salesforce and into the warehouse, where other systems can consume it
  • Define and govern certified metrics like ARR and CARR and the dimensions behind them
  • Write definitions precise enough for both people and AI agents to reason over consistently, backed by documentation, tests, and lineage
  • Reconcile metrics with NetSuite and the Finance close so the numbers tie out
  • Translate business questions from Sales, Finance, Fund Administration, and leadership into technical requirements for Data Engineering
  • Work with our Lead Business Systems Analyst and Integrations Engineers so the commercial model and source data are reportable from the start
  • Build an AI-assisted reporting layer on top of governed semantic definitions, so questions asked through tools like Claude return certified answers
  • Build self-serve dashboards for revenue, operations, and leadership stakeholders
  • Stand up measurement for the Lead-to-Cash program so monthly progress is shown in numbers rather than status updates
  • Apply access controls, data classification, and change management suited to financial and customer data in SOX, SOC 1, and SOC 2 scope
  • First 90 days: own core revenue dbt models and publish draft definitions for ARR, CARR, backlog
  • Within 6 months: a certified semantic layer for revenue metrics and first in-service ARR figure
  • Within 12 months: one number of record for each revenue metric used across Finance, Sales, and leadership with AI-assisted reporting live

Qualifications

  • 5+ years in analytics engineering, data engineering, or business intelligence, including at least 2 years owning dbt models in production
  • Expert SQL: window functions, CTEs, performance tuning, and the ability to work through legacy queries
  • Hands-on dbt experience across models, tests, documentation, incremental models, and CI
  • Experience with a semantic layer tool (dbt Semantic Layer/MetricFlow, LookML, Cube, or similar)
  • Strong understanding of recurring revenue metrics (ARR, CARR, bookings, backlog, churn) and how they tie to billing and revenue recognition
  • Practical data modeling skills: dimensional modeling, slowly changing dimensions, and explicit grain
  • Experience working with Salesforce and NetSuite data
  • Experience with a cloud data warehouse (Redshift, Snowflake, BigQuery, or similar)
  • Regular use of AI coding and data tools (e.g., Claude) in your workflow
  • Comfort working directly with US-based Finance and business stakeholders, with some overlap with US time zones

Skills

Required:dbtSQLSemantic layer toolingCloud data warehouseSalesforce & NetSuiteAI tooling

Benefits

  • Health, dental, and vision care for you and your family
  • Life insurance
  • Mental wellness coverage
  • Fertility and growing family support
  • Flex Time Off in addition to company-paid holidays
  • Paid family leave, medical leave, and bereavement leave policies
  • Retirement savings plans
  • Allowance to customize your work and technology setup at home
  • Annual professional development stipend
Last updated Oct 15, 2026. Interested? Apply on the company site.
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About Juniper Square

Connected software and fund administration services | Juniper Square

Over 2,100 GPs across private equity, venture capital, and commercial real estate trust Juniper Square’s connected fund software and services to raise capital more efficiently, reduce operational risk, and deliver a world-class LP experience.

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