About Clearwater Analytics:
Clearwater Analytics, global industry-leading SaaS solution, automates the entire investment lifecycle. With a single instance, multi-tenant architecture, Clearwater offers award-winning investment portfolio planning, performance reporting, data aggregation, reconciliation, accounting, compliance, risk, and order management. Each day, leading insurers, asset managers, corporations, and governments use Clearwater’s trusted data to drive efficient, scalable investing on more than $6.4 trillion in assets spanning traditional and alternative asset types.
Our mission: To be the world’s most trusted and comprehensive technology platform that simplifies the entire investment lifecycle and eventually revolutionizes the world of investing.
Job Summary:
As a hands-on Data Engineer at Clearwater Analytics (CWAN), you will turn business and platform data into actionable insights that drive decision making. You will use Python and SQL to extract, clean, and analyze data, and contribute to building the data pipelines that feed your dashboards and analysis. You will build dashboards and reports, analyze key business and platform performance metrics, and work closely with cross functional teams to understand their data and reporting needs.
Responsibilities and Duties
Analyze business and platform performance metrics to surface trends, risks, and opportunities for stakeholders
Contribute to building and maintaining data pipelines that feed dashboards, reports, and analytical tools
Write Python and SQL to extract, clean, transform, and analyze data from various sources
Build and maintain BI dashboards and reports (e.g., Power BI, Tableau) that make data and business metrics easy to understand and act on
Partner with Business Analysts, Product Owners, and other cross functional teams to gather requirements and translate them into meaningful analysis and reporting
Support the wider business with ad hoc data and reporting requests
Identify data quality issues and partner with engineering teams to help resolve them
Document metrics definitions, data sources, and reporting logic to ensure consistency and clarity across teams
Continually look for opportunities to improve analytical workflows and reporting processes
Required Skills
Strong hands on proficiency in Python for data processing, analysis, and automation is required
Proficiency in SQL and deep knowledge of various data platforms (e.g. Snowflake, Databricks, Redshift)
Solid understanding of business and platform related metrics, with the ability to translate data into clear, actionable insights
Experience building dashboards and reports using BI/data visualization tools (e.g., Power BI, Tableau)
Experience building or contributing to data pipelines that support analytics and reporting
Strong analytical and problem solving skills
Familiarity with data governance principles and data quality best practices
Experience in the finance industry will be a significant advantage
Experience utilizing ETL tools and technologies such as DBT, Fivetran, ADF, SSIS is a good to have
Exposure to GenAI/LLM technologies (e.g., prompt engineering, LLM-based data processing, RAG pipelines) is a good to have
Education and Experience
Degree in Computer Science, Data Analytics, Statistics, or a related field
3 - 7 years of hands-on experience in data analysis, reporting, or business intelligence, with a track record of turning data into business insights
Skills Required
- Degree in Computer Science, Data Analytics, Statistics, or a related field
- 3-7 years of hands-on experience in data analysis, reporting, or business intelligence
- Strong hands-on proficiency in Python for data processing, analysis, and automation
- Proficiency in SQL and deep knowledge of data platforms such as Snowflake, Databricks, or Redshift
- Understanding of business and platform metrics and ability to translate data into actionable insights
- Experience building dashboards and reports with BI tools such as Power BI or Tableau
- Experience building or contributing to data pipelines supporting analytics and reporting
- Strong analytical and problem-solving skills
- Familiarity with data governance principles and data-quality best practices
- Experience in the finance industry
- Experience with ETL tools such as dbt, Fivetran, ADF, or SSIS
- Exposure to GenAI or LLM technologies, including prompt engineering, LLM-based data processing, or RAG pipelines
What the Team is Saying
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Clearwater Analytics (CWAN) Compensation & Benefits Highlights
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Retirement Support — A 401(k) plan with employer matching (commonly up to 4%) and references to immediate or Safe Harbor vesting indicate solid long‑term savings support. This combination is highlighted across employer materials and job postings.
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Leave & Time Off Breadth — Immediate eligibility for PTO, paid holidays, and volunteer time off is noted, alongside paid maternity and paternity leave. This breadth suggests a well-rounded time‑off framework from day one.
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Parental & Family Support — Paid parental leave is complemented by childcare benefits, a Dependent Care FSA, and amenities such as an onsite Mother’s Room. These provisions point to tangible support for families.
Clearwater Analytics (CWAN) Insights
What We Do
CWAN was founded on a simple belief: investment professionals deserve modern technology that actually works for them. Not legacy systems that slow them down. Not fragmented data that creates confusion. But one comprehensive platform that gives you complete visibility and crystal-clear insights. The result? Investment management that works as seamlessly as your investment strategy. Since our founding in 2004, CWAN has been the trusted technology partner powering the world’s leading institutional investors — from insurance companies, asset managers, and hedge funds to asset owners like corporations, endowments, and pension funds managing over $10 trillion in assets.
Why Work With Us
We continue to grow, fueled by a strong foundation, an ambitious vision, and a commitment to delivering exceptional value to our clients, partners, and team members around the world. What started as a bold idea in Boise, Idaho has rapidly transformed into a global presence. We’ve expanded our footprint significantly—now operating out of 24 offices
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Clearwater Analytics (CWAN) Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
