
51 - 200 employees
💸 Finance
💳 Fintech
🏢 Enterprise
Finance • Fintech • Enterprise
DiligenceVault is a secure digital diligence platform designed to streamline and digitize the due diligence processes for investment and management research teams. The platform is trusted by over 70,000 users globally to simplify and enhance activities such as manager selection, monitoring, RFP automation, ESG data collection, and regulatory compliance. By leveraging technology, including AI, DiligenceVault helps users to efficiently manage due diligence tasks, centralize content, and improve collaboration through its comprehensive digital ecosystem. The company is backed by Goldman Sachs and provides global support with teams located in major financial hubs, including New York, London, Singapore, and India.
🔥 3 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.

51 - 200 employees
💸 Finance
💳 Fintech
🏢 Enterprise
Finance • Fintech • Enterprise
DiligenceVault is a secure digital diligence platform designed to streamline and digitize the due diligence processes for investment and management research teams. The platform is trusted by over 70,000 users globally to simplify and enhance activities such as manager selection, monitoring, RFP automation, ESG data collection, and regulatory compliance. By leveraging technology, including AI, DiligenceVault helps users to efficiently manage due diligence tasks, centralize content, and improve collaboration through its comprehensive digital ecosystem. The company is backed by Goldman Sachs and provides global support with teams located in major financial hubs, including New York, London, Singapore, and India.
• Design and develop interactive dashboards using Power BI for internal and external stakeholders • Translate business requirements into data-driven solutions that support decision-making • Build and optimize SQL queries and stored procedures to support reporting infrastructure • Implement embedded BI solutions for client-facing applications using Power BI Embedded • Manage dashboard performance, usability, and data integrity through QA and continuous improvements • Support teams with ad-hoc analysis and insights using SQL and BI tools • Work closely with cross-functional teams across Product, Engineering, and Client Success • Use REST APIs, Power BI Client Libraries, and scripting (JavaScript/TypeScript) for advanced integration • Drive best practices in data modeling, UX design, and dashboard performance tuning • Ensure data security and compliance with internal standards
• 5+ years of experience in Power BI, MS SQL Server, and data visualization • Expertise in SQL development, performance tuning, and stored procedures • Advanced skills in Power BI, DAX, Power Pivot, and Power Query • Strong understanding of data modeling, UX principles, and BI design frameworks • Experience in SaaS or Fintech domain preferred • Hands-on with Power BI Embedded, APIs, and Azure services (ADF, ADLS, Azure SQL) • Strong problem-solving skills, attention to detail, and a user-centric mindset • Excellent communication and collaboration skills with global stakeholders
• Generous leave policy (Vacation, Sick, and Public Holidays) • Health/Medical Insurance • Wellness Reimbursement • Recognition and rewards program
Apply Now🕒 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
🕒 May 6
ETL Developer responsible for developing and maintaining data warehouses for analytics at Pinnacle Group. Involves ETL processes design and implementation, ensuring data integrity and exploration.
Azure
Cloud
ETL
Informatica
SSIS
🕒 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
🕒 February 4
Finance Analytics Engineer handling finance-focused analytics solutions by integrating data from various sources. Collaborating with stakeholders to translate data into actionable insights and support business needs.
Azure
Python
SQL