loanDepot is hiring: Data Analyst (Hybrid) in Plano

Description

Position at loanDepot

Position Summary:

The Data Analyst is responsible for acting as an advanced professional in the systems and process design and implementation space, focusing on low, medium, and high effort software implementation projects. The Data Analyst will solicit, understands, and documents the customer's business requirements, processes, and workflows developing both written and visual depictions of requirements and process flows. This person will work with developers to create the functional specifications that meet those requirements, serves as subject matter expert (SME) to the Developers building those functions, and works with the QA team to test the developed functionality. The Data Analyst will recommend and institute business analysis best practices, tools, and methodology towards standardization of deliverables and procedures, and collaborates with Developers and QA Leads to uphold and improve SDLC processes. The Data Analyst with be onsite 2 days per week in Irvine, CA or Plano, TX.

Responsibilities:

• Collaborates with stakeholders to gather and analyze business requirements, translating them into technical specifications for data engineering projects.
• Performs complex data analysis and creates insightful visualizations to uncover actionable insights that support operational and strategic decision-making.
• Models, cleans, and categorizes data sets for effective use in analytics applications.
• Identifies data-related issues, assess their severity, and evaluate their business impact to inform data quality improvement initiatives.
• Implements corrective measures for inaccurate data values and other issues, while addressing their underlying causes.
• Develops data quality guidelines and best practices for end users to reduce the likelihood of future issues.
• Develops and maintains documentation for data flows, data dictionaries, and business processes.
• Ensures data quality, consistency, and compliance with data governance policies.
• Assists in the evaluation and implementation of new data technologies and tools.

Requirements:

• Demonstrates team leadership and staff development skills.
• Demonstrates understanding of business analysis principles, processes, and techniques.
• Ability to create use cases, functional, and technical requirements.
• Strong consultative and advisory skills.
• Strong understanding of data warehousing concepts and dimensional modeling.
• Intermediate skills in computer terminal and personal computer operation; Microsoft Office applications including but not limited to: Word, Excel, PowerPoint and Outlook.
• Excellent communication skills and ability to translate complex technical concepts to non-technical stakeholders
• Effective organizational and time management skills.
• Ability to make decisions that have moderate impact on the immediate work unit and cross functional departments.
• Organize and prioritize work schedules on a short-term and long-term basis.
• Provide consultation and expert advice to management.
• Make informal and formal presentations, inside and outside the organization; speaking before assigned team or other groups as needed.
• Deal with complex difficult problems involving multiple facets and variables in non-standardized situations.

Technical Requirements:

• Bachelor's degree in Computer Science, Information Systems, or a related field.
• Minimum of five (5) + years of experience in business systems analysis or data analysis roles.
• Familiarity with data lakehouse concepts and technologies (e.g., Delta Lake, Snowflake).
• Knowledge of big data processing frameworks (e.g., Apache Spark, Apache Dataflow).
• Proficiency in SQL and experience with at least one programming language (e.g., Python, R, or Scala).
• Experience with cloud platforms (AWS, Azure, or GCP) and their data services.
• Experience with data visualization tools (e.g., Tableau, Power BI, or Looker).
• Proven experience in data quality management and improvement initiatives.
• Preferred certifications in cloud platforms (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate).
• Preferred knowledge of machine learning concepts and their applications in business.
• Preferred familiarity with data streaming technologies (e.g., Dataflow Streaming, Amazon Kinesis).
• Preferred experience with data governance and data quality tools.
• Preferred experience with version control systems (e.g., Git) and CI/CD pipelines

Why work for #teamloanDepot:

• Aggressive compensation package based on experience and skill set.
• Inclusive, diverse, and collaborative culture where people from all backgrounds can thrive.
• Work with other passionate, purposeful, and customer-centric people.
• Extensive internal growth and professional development opportunities including tuition reimbursement.
• Comprehensive benefits package including Medical/Dental/Vision.
• Wellness program to support both mental and physical health.
• Generous paid time off for both exempt and non-exempt positions.

About loanDepot:

loanDepot (NYSE: LDI) is a digital commerce company committed to serving its customers throughout the home ownership journey. Since its launch in 2010, loanDepot has revolutionized the mortgage industry with a digital-first approach that makes it easier, faster, and less stressful to purchase or refinance a home. Today, as the nation's second largest non-bank retail mortgage lender, loanDepot enables customers to achieve the American dream of homeownership through a broad suite of lending and real estate services that simplify one of life's most complex transactions. With headquarters in Southern California and offices nationwide, loanDepot is committed to serving the communities in which its team lives and works through a variety of local, regional, and national philanthropic efforts.

Base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay for this role is between $100,000 and $130,000. Your base pay will depend on multiple individualized factors, including your job-related knowledge/skills, qualifications, experience, and market location.

We are an equal opportunity employer and value diversity in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.