Senior Business Analytics Engineer - India

Juniper Square is seeking a Senior Business Analytics Engineer to produce the revenue numbers the company runs on. This role produces one computed definition of metrics for different ARR metrics for Sales, Finance, Fund Admin and leadership teams. The role owns dbt transformation logic and semantic-layer definitions on top of the internal data warehouse, as part of a company-wide rebuild of how revenue moves from quote to recognized revenue. The role also links business stakeholders and the Data Engineering team, and builds an AI-assisted reporting layer that lets people and AI agents get the same trustworthy answer from the same source.

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; 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, covering source data, grain, freshness, and quality; Work with the 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

Requirements

8+ 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 own workflow; Comfort working directly with US-based Finance and business stakeholders, with a few hours of overlap with US time zones

Nice to have

Python for transformation logic, automation, or API-based extraction; Experience with BI tools such as Looker, Tableau, Power BI, or Sigma; Exposure to fund administration, private markets, or financial services; Experience building AI-ready data products or metrics that agents can query; A governance instinct: understanding why a change to revenue or customer data needs a control owner and a ticket

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