
201 - 500 employees
💸 Finance
🏠 Real Estate
☁️ SaaS
💰 $75M Series C on 2019-11
Finance • Real Estate • SaaS
Juniper Square is a company that provides a comprehensive platform and solutions tailored for private investment partnerships. Founded in 2014, the company focuses on enabling seamless connection and communication between General Partners (GPs) and Limited Partners (LPs) throughout the entire investment lifecycle. Juniper Square's technology is purpose-built to support commercial real estate, private equity, and venture capital firms of all sizes. The platform offers services such as fund administration, fundraising, investor management, compliance, and investor reporting, all aimed at enhancing transparency, data governance, and the overall investor experience.
🔥 0 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.

201 - 500 employees
💸 Finance
🏠 Real Estate
☁️ SaaS
💰 $75M Series C on 2019-11
Finance • Real Estate • SaaS
Juniper Square is a company that provides a comprehensive platform and solutions tailored for private investment partnerships. Founded in 2014, the company focuses on enabling seamless connection and communication between General Partners (GPs) and Limited Partners (LPs) throughout the entire investment lifecycle. Juniper Square's technology is purpose-built to support commercial real estate, private equity, and venture capital firms of all sizes. The platform offers services such as fund administration, fundraising, investor management, compliance, and investor reporting, all aimed at enhancing transparency, data governance, and the overall investor experience.
• Own the transformation layer. • Shape what customers actually see. • Guard data integrity and security. • Know the end user better than they expect. • Translate complex requirements into solutions you own end to end. • Solve the hard SQL problems. • Modernize alongside the platform. • Use AI tools to accelerate development.
• 3+ years of professional experience in a data-focused role (e.g., Analytics Engineer, BI Developer, Data Analyst). • Strong proficiency in SQL is required. • Strong hands-on experience with at least one enterprise BI platform (Looker, Tableau, Power BI, Qlik, etc.). • Familiarity with modern data warehousing concepts and cloud data platforms (BigQuery, Snowflake, Redshift). • Excellent written and verbal communication skills. • Hands-on experience using AI-assisted development tools (e.g., Claude Code, Cursor). • A strong focus on data integrity and security. • A proactive, independent working style.
• Fully remote experience • Flexible working hours • Health insurance • Professional development opportunities
Apply Now🕒 2 days ago
Senior Analytics Engineer responsible for transforming raw data into actionable insights for an AI-enabled SaaS company. Leading data modeling and analytics engineering efforts while mentoring team members.
AWS
Cloud
Python
SQL
Tableau
🕒 June 30
Senior Power BI Developer & Analytics Engineer for DiligenceVault's investment management SaaS platform. Designing interactive dashboards and providing data-driven solutions for stakeholders.
Azure
JavaScript
MS SQL Server
SQL
TypeScript
🕒 May 12
Senior Analytics Engineer at Outreach driving analytics and data curation for revenue teams. Ensuring trusted and scalable data for business insights and decision-making.
Airflow
Cloud
Postgres
Spark
SQL
Tableau
🕒 April 5
Analytics Engineer II developing presentation layer and data solutions for Tala's remote financial platform team. Utilizing AI tools for improved data accessibility and infrastructure.
ETL
Java
Python
SQL
🕒 April 1
Senior Data Analytics Engineer at MariaDB building analytical pipelines and tools using BigQuery and MariaDB for data-driven insights.
BigQuery
JavaScript
MariaDB
Python
SQL