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# Mid Data Analyst

- **Company:** Capco
- **Location:** United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Adaptable Database Systems, Big Data, Databases, Extract Transform Load (ETL), Data Transformation, Data Systems, Distributed Data Store, Python (Programming Language), Machine Learning, NumPy, SciPy, SQL Databases, Data Processing, Data Ingestion, Pandas, Pyspark, Information Technology, Data Management
- **Published:** August 19, 2026
- **Apply:** https://job-boards.greenhouse.io/capco/jobs/8111831

## About the Role

* 4-5+ years of experience as a Data Analyst
 * Strong proficiency in SQL and Python, including:
 + Pandas
 + NumPy
 + SciPy
 + PySpark
 * Solid understanding of data wrangling, data transformation, and ETL processes
 * Experience working with large and complex databases
 * Strong analytical and problem-solving skills
 * Banking or financial services domain knowledge is highly desirable
 * Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
 * Excellent communication and stakeholder management skills
 * Detail-oriented, collaborative, and business-focused mindset
 * Fluent English, both written and spoken

## Description

We are looking for an experienced Data Analyst to provide services supporting the development of advanced machine learning models within a global financial services environment.

In this role, you will work closely with data scientists, model developers, and business stakeholders to deliver high-quality data solutions that power analytical and modeling initiatives. You will be responsible for sourcing, transforming, analyzing, and preparing large-scale datasets while contributing to the design and implementation of robust ETL processes., * Support the development of advanced financial machine learning models by sourcing, aggregating, and preparing data from multiple internal and external sources

 * Clean, transform, validate, and analyze complex datasets to ensure high-quality inputs for modeling activities
 * Design, develop, and optimize ETL pipelines to streamline data ingestion and processing workflows
 * Work with large-scale databases and distributed data environments to extract and manage data efficiently
 * Collaborate with cross-functional teams including model developers, data scientists, and business stakeholders
 * Identify data quality issues and implement solutions to improve data accuracy, consistency, and accessibility
 * Contribute to continuous improvement of data management and analytical processes, * Opportunity to work on challenging projects within the financial services sector
 * Exposure to modern data, analytics, and machine learning initiatives
 * Collaborative and supportive team environment
 * Access to professional development opportunities and a global network of experts


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