Unclassified - Remote, OR

posted about 2 months ago

Full-time - Senior
Remote, OR

About the position

Hamilton Lane is a leading data-driven private markets firm that leverages technology to make data work for our business. We are seeking a talented and motivated VP of Data Intelligence to join our growing team. If you are passionate about transforming data into meaningful business solutions and possess expertise in Azure, SQL, Power BI, and data warehousing, we want to hear from you. As a recognized leader in providing Private Markets Solutions to clients across the globe, we manage approximately $120.2 billion in discretionary assets and have oversight of an additional $782.9 billion in non-discretionary assets as of December 31, 2023. Our employees pursue excellence and always strive to do the right thing, working in a competitive environment that inspires innovation. In this role, you will lead Business Intelligence efforts in Power BI to transform business operations and analytics. You will collaborate with cross-functional teams to understand requirements and ensure data accuracy and consistency. Building efficient data models in Power BI that support robust reporting and analytics will be a key responsibility. You will also perform data analysis and validation to ensure accuracy and consistency, provide ongoing support and maintenance for Power BI reports and dashboards, and train business users on how to leverage the data provided in our data warehouse, data lake, and data marts. Additionally, you will implement and enforce data governance policies to ensure data integrity and security, and communicate complex technical concepts to non-technical stakeholders in a clear and concise manner.

Responsibilities

  • Lead Business Intelligence efforts in Power BI to transform business operations and analytics
  • Collaborate with cross-functional teams to understand requirements and ensure data accuracy and consistency
  • Build efficient data models in Power BI that support robust reporting and analytics
  • Perform data analysis and validation to ensure accuracy and consistency
  • Provide ongoing support and maintenance for Power BI reports and dashboards, including troubleshooting and resolving issues as they arise
  • Train business users on how to leverage the data provided in our data warehouse, data lake, and data marts
  • Implement and enforce data governance policies to ensure data integrity and security
  • Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner

Requirements

  • Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, or equivalent work experience
  • 10+ years of experience in a data role (Data Analyst, Data Engineer, Analytics Engineer, BI Engineer)
  • 5+ years of experience with Power BI, including DAX and Power Query
  • 3+ years of experience with SQL or other query languages
  • 2+ years working with Azure, AWS, or GCP
  • Advanced SQL skills for data manipulation and orchestration
  • Experience with data warehousing techniques and star schema data modeling
  • Experience with cloud-based data solutions, Snowflake or Azure is a plus
  • Experience implementing and maintaining semantic data models
  • Experience utilizing SDLC and engineering best practices
  • Excellent analytical and problem-solving skills
  • Strong communication and collaboration skills

Nice-to-haves

  • Experience working in financial services, Private Markets is a plus
  • Experience with Python, R, or other scripting language
  • Experience working with Data Engineers

Benefits

  • Healthcare coverage
  • Mental health resources
  • Health & fitness reimbursement program
  • Wellness Rewards Program
  • Tuition and certification reimbursement program
  • Continual education and development trainings
  • Paid time off to volunteer
  • Donation matching to charitable organizations
  • Referral compensation for qualified candidates
  • Adoption reimbursement program
  • Paid time off for new parents and newlyweds
  • Travel support for nursing parents
  • Retirement program contributions
  • Employee stock purchasing plan
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