Senior Data Analyst

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Guild Mortgage

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1960

🏗️ Construction

💸 Finance

🏠 Real Estate

Construction • Finance • Real Estate

Guild Mortgage is a U. S. -based mortgage lender and loan servicer that provides a wide range of home financing products and services to consumers and business partners. The company offers purchase and refinance mortgages, including conventional, FHA, VA, USDA, jumbo, renovation, construction, reverse mortgages, HELOCs, and specialty programs and down-payment assistance. Guild Mortgage operates nationwide through local branches and loan officers, supports borrowers with servicing and online account management, and partners with builders, real estate agents, title agents, and correspondents.

📋 Description

• Partner with key stakeholders, including the business unit leaders, Product, Data & Technology teams, to assess their data and analytics needs by eliciting data requirements, and researching internal systems of record and publicly available data sources and assessing their quality of data • Requisition and obtain private data sources to support business needs for data and insights • Identify translation or transformation requirements for sourced data into the data warehouse • Improve quality of sourced data by data curation and validation rules as well as maintaining the Master Data tables • Maintain the Logical Data Dictionary (LDD) with data lineage information (field definition, domain, source system, intermediary and destination system(s), translations, transformation rules, display screens, referenced reports, etc.), Data Stewards and Data Custodian info along with versioning for historic analysis and audit trail • Ensure consistent delivery of high-quality insights to key stakeholders by reconciling and validating dashboards and reports in a timely manner • Document functional / non-functional business requirements for collecting, loading, transforming, curating, processing data and for visualization and distribution of insights • Identify internal process improvements for automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. • Provide actionable insights using analytics tools into customer acquisition, operational efficiency and other key business performance metrics • Identify Personally Identifiable Information (PII) data in primary data sources as well as in data architecture, define masking and other data processing rules for special handling of PII data as well as maintain access control lists for visibility of PII data on a need-to-know basis • Identify and document the Business Continuity Plan/Disaster Recovery (BCP/DR), and technical requirements for high availability and recoverability for the data architecture • Improve the quality of data used for analysis by assessing the accuracy of new data sources and the effectiveness of new data gathering techniques • Define Key Performance Indicators (KPIs) and document technical processes to monitor and analyze data warehouse performance and data accuracy • Contribute to the team of data professionals by using expertise to answer questions and sharing templates, reusable artifacts with less experienced teammates, enhancing skillsets and competencies of team members, and sharing business domain knowledge throughout the team • Participate in stakeholder reviews and design sessions • Provide data, reports, and information to management as needed • Identify, track, and monitor trends and avoidable technology-related errors; work across functions to develop complex solutions, improvements, and stop-gaps

🎯 Requirements

• Bachelor's Degree in Computer Science, Data Science or related quantitative field is required • Minimum 5 years' experience in Data Analyst related role(s) and two of those years spent in a senior technical level role(s) required • Highly proficient with eliciting business requirements, documenting user stories, analyzing data sources, and assessing data quality • Highly proficient in data analysis, technical documentation, logical data dictionary, data validation rules, acceptance criteria, software development lifecycle (SDLC) such as Scrum and IT Service Management (ITSM) – ITILv4 • Experience in identifying data integrations needs using Extract, Transform and Load (ETL) tools and modern data pipes • Proven experience with querying and analyzing data from SQL relational databases such as AuroraDB, IBM DB2, MemSQL, MS SQL Server, MySQL, Postgres, Snowflake, and NoSQL Databases such as Cassandra, DynamoDB, Redis, MongoDB • Experience collecting structured, semi-structured and unstructured data in various popular formats and sourced from internal core systems as well as 3rd partner providers such as Google Analytics, Facebook Insights, Zillow, CoreLogic, MLS Data, Public Records, and Property Data • Experience using collaboration tools such as Microsoft Office or Google G-Suite as well as Jira, Confluence, and Microsoft SharePoint • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement

🏖️ Benefits

• medical • dental • vision • life insurance • AD&D • LTD • 401(k) with employer match