Senior Data Analyst - Banking Mortgage Resume Search
Senior Data Analyst - Banking Mortgage Resume Search
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Senior Data Analyst Resume


Desired Industry: Banking/Mortgage SpiderID: 84073
Desired Job Location: Richmond, Virginia Date Posted: 6/8/2023
Type of Position: Contractor Availability Date:
Desired Wage:
U.S. Work Authorization: Yes
Job Level: Experienced with over 2 years experience Willing to Travel:
Highest Degree Attained: Masters Willing to Relocate: Yes


Objective:
Highly skilled Senior Data Analyst with over six (6) years of experience in quantitative data analysis, data science, mathematics, statistics, and big data. Proven track record of success in solving real-world problems by deriving insights from complex structured, semi-structured, and unstructured data. Strong leader with a demonstrated ability to achieve goals within specified timelines. Excellent written and verbal communication skills.


Experience:
Senior Data Analyst Jun 2021 Present
Compunnel Inc. (Client: Capital One)

 Led the development and management of regulatory and compliance controls at Capital One, ensuring adherence to internal policies and federal regulations
 Analyzed customer interactions (chats, calls, cases) to monitor front-line agent performance and provide exceptional customer service
 Built and maintained a Tableau dashboard for the Adherence Quality Assurance team, offering crucial insights and visualizations to track key metrics and performance indicators
 Developed and implemented efficient ETL processes and automated data pipelines for diverse projects, ensuring smooth and accurate data integration, transformation, and loading
 Built data pipelines for US credit card controls, ensuring compliance with regulatory requirements and maintaining data integrity
 Created and optimized SQL queries for data extraction and transformation, resulting in a 40% reduction in data processing time and improved overall data accuracy
 Provided production support and addressed issues reported by Adherence Quality Assurance team, ensuring the smooth functioning of the monitoring system and dashboard
 Managed the end-to-end ETL workflow, optimizing processes for enhanced efficiency and reduced processing time
 Implemented effective data quality checks and validation techniques within the ETL processes, minimizing errors and ensuring the accuracy and consistency of data
 Built customized dashboards for the business team, providing them with real-time insights and visualizations to facilitate data-driven decision-making and improve operational efficiency
 Leveraged Databricks to create and maintain an automated data pipeline for data ingestion and report generation from disparate sources
 Performed Data Pre-processing, Profiling using Python frameworks, enabling validation and automation of regular checks
 Utilized SQL Window functions to implement complex logic for business users on business current view (BC) tables
 Demonstrated strong data analysis skills by updating and modifying 50+ scripts to accommodate the changes in data sources and column names, while ensuring data integrity and accuracy through thorough validations
 Collaborated closely with cross-functional teams to ensure smooth data migration and implementation, effectively communicating and coordinating with stakeholders throughout the transition process
 Provided backend dashboard production support to service representatives using PySpark, Snowflake, Tableau
 Fulfilled ad-hoc request for retrieving complex transactional data for Tableau dashboards

Senior Data Analyst Jan 2019 Jun 2021
HexaCorp (Client: Capital One)

 Played a pivotal role in maintaining data quality, mitigating risks, and optimizing costs for Capital One's enterprise data management team
 Developed a comprehensive Reporting Suite for metadata tracking of internal data sets within the organization
 Utilized Python to write highly complex scripts for gathering metadata and inventorying digital assets (Snowflake datasets, Amazon S3 buckets, and Teradata tables)
 Leveraged REST API calls to Nebula, an internal metadata reporting tool, to collect relevant data and applied data cleaning and business context addition techniques
 Implemented automated nightly runs of the Python scripts using Linux Cron jobs on Amazon EC2 servers, ensuring up-to-date and timely reporting
 Executed a high-priority project focusing on analyzing query usage for tables owned by the Enterprise Products and Platform Line of Business in the Snowflake technology platform
 Developed SQL Join queries to combine table inventory with extracted table usage data, enriching the analysis with owner details sourced from HR data
 Demonstrated advanced skills in Apache Spark, SQL, data extraction, data mapping, and Tableau visualization
 Identified and addressed data risks in AWS S3 buckets by using Python scripts, REST APIs, and Snowflake

ERP/Data Analyst Jan 2014 Aug 2016
Voltech Engineers Pvt. Ltd.

 Analyzed and optimized the company's Enterprise Resource Planning (ERP) systems and data processes
 Collaborated in the development and implementation of new data management procedures and reporting tools, enabling real-time access to relevant and accurate data
 Developed and implemented Power BI solutions, including complex dashboards and reports, resulting in a 30% increase in data visibility and improved decision-making for senior management
 Identified and resolved issues within the ERP system, contributing to improved data accuracy and streamlined operational processes
 Supported the implementation of a new ERP system by providing training to employees and offering ongoing assistance to ensure successful system adoption and utilization.



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