Analytics Engineer (Data Product Services) - India - India

About Juniper Square Private markets are one of the largest, most complex, and most underserved corners of global finance. Our mission at Juniper Square is to unlock their full potential. We’re the Operations Partner trusted by 2,300+ GPs, unifying technology, data, and fund administration services into a single platform that helps GPs move faster, make better decisions, and scale with precision. With $300B+ under administration and 700,000+ LPs on platform, we’ve built the scale to match our ambition. And with JunieAI, our purpose-built AI platform, we’re reimagining how private markets operate, embedding intelligence across every workflow. Founder-led since 2014, backed by $350M+ in funding, and now 1,000+ employees strong, we’re building a company designed to shape the future of private markets for decades to come. Our culture is built for people who want to do ambitious, meaningful work alongside exceptionally talented teammates. We think like owners, move with urgency, and take pride in solving hard problems that truly matter to our customers and the future of private markets. We believe the best ideas come from open debate, deep collaboration, and diverse perspectives, which is why we believe transparency is the default and feedback makes us stronger. If you’re energized by high standards, rapid growth, and the opportunity to help define a category at a pivotal moment, come join us! Juniper Square offers employees a variety of ways to work, ranging from a fully remote experience to working full-time in one of our physical offices. We invest heavily in digital-first operations, allowing our teams to collaborate effectively across 27 U.S. states, 2 Canadian Provinces, India, Luxembourg, and England. We also have physical offices in San Francisco, New York City, Mumbai and Bangalore for employees who prefer to work in an office some or all of the time. About your role Juniper Square is looking for an Analytics Engineer to drive the technical development of our Insights data product. In this individual contributor role, you'll build and maintain the data models, transformation logic, and visualizations that power analytics for our customers. While this role is not customer-facing, it is highly collaborative. You'll act as the technical engine of our Data Product Services team, partnering closely with our North America-based team members to translate business requirements into robust technical solutions. You'll work cross-functionally with Engineering and Product to build and evolve the data models and BI layer that power our Insights product — including as our underlying data platform modernizes around us. What you’ll do Own the transformation layer: Design and build the SQL-based models (increasingly in dbt) that turn raw, messy private-markets data into the analytics-grade foundation our entire Insights product is built on. If the numbers our customers trust are right, it's because your models are right. Shape what customers actually see: Build and evolve the semantic and BI layer (today, LookML and Looker) — the dashboards and reports that fund managers and administrators use to run their business. Guard data integrity and security: Build rigorous testing into everything you ship — because a single wrong number erodes customer trust — and design the row-level security and data access controls that ensure every customer sees exactly their data and nothing else. Know the end user better than they expect: Develop a deep understanding of how our customers actually work across fundraising, fund management, and distributions — so you can solve for the use case behind the request, not just the request itself. Translate complex requirements into solutions you own end to end: Partner with our North America team to take complex business requirements and turn them into clean technical specifications, data models, and working solutions — owning the build from first design to final delivery. Solve the hard SQL problems: Write and optimize complex queries for extraction, transformation, and performance — the kind where the obvious approach doesn't scale and you have to find the one that does. Modernize alongside the platform: As our underlying data infrastructure evolves, refactor and re-point our models and dashboards onto new tooling — keeping the product running while the ground shifts underneath it. Use AI tools to accelerate every step of development. Apply AI-assisted tools like Claude Code and Cursor across the development lifecycle — from exploring data and drafting models to writing tests, debugging, and documentation — to ship better work, faster. Qualifications 3+ years of professional experience in a data-focused role (e.g., Analytics Engineer, BI Developer, Data Analyst). Strong proficiency in SQL is required. You must be comfortable writing complex queries, performing performance tuning, and understanding data modeling concepts (star schema, snowflake schema). Strong hands-on experience with at least one enterprise BI platform (Looker, Tableau, Power BI, Qlik, etc.). We use Looker, but we are willing to train the right candidate who has strong experience in other platforms. Familiarity with modern data warehousing concepts and cloud data platforms (BigQuery, Snowflake, Redshift). Experience with a SQL-based data transformation framework (dbt strongly preferred) is a strong plus. Excellent written and verbal communication skills. You must be able to articulate complex technical concepts to internal non-technical stakeholders and collaborate effectively with remote teams in North America. Hands-on experience using AI-assisted development tools (e.g., Claude Code, Cursor) as part of your regular workflow, with sound judgment about how and when to rely on their output. A strong focus on data integrity and security, including testing your work before it reaches customers and understanding access controls such as row-level security. A proactive, independent working style. You are comfortable owning work end to end, navigating ambiguity, and managing multiple projects in a fast-paced environment. Preferred Experience with a workflow orchestration tool such as Apache Airflow. A scripting language such as Python for data analysis or automation. Industry experience in private markets (real estate, PE/VC), finance, or fund administration. Familiarity with Jira, Confluence, and G Suite. At Juniper Square, we believe building a diverse workforce and an inclusive culture makes us a better company. If you think this job sounds like a fit, we encourage you to apply even if you don’t meet all the qualifications. #LI-Remote