Clearwater Analytics
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Noida · On-site · 3-6 Yrs · Aug 21
Investment & Asset Management · 1001 to 5000 Employees · Boise, US
About Clearwater Analytics® Clearwater Analytics (NYSE: CWAN), a 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.
Hiring: Engineering
What employees say
+ Food cab safety nice building
− Shift change every week o
More reviews on the company profile.
Interview experience · Financial Data Analyst
Hiring manager started with basic finance questions, I was an MBA finance so grilled me with proper finance topics like bonds, fixed income securities, monte carlo simulation, data fetching, amortization, ABS vs MBS, que
Difficult difficulty · Noida · 43 reports
More interview insightsJob description
Overview
About Clearwater Analytics:
Responsibilities
- 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
Qualifications
- 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
- Strong analytical and problem solving skills
- Familiarity with data governance principles and data quality best practices
- Exposure to GenAI/LLM technologies (e.g., prompt engineering, LLM-based data processing, RAG pipelines) is a good to have
Education
- 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
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