The Senior Business Systems Analyst Data Governance 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 BSA will solicit understands and documents the customers business requirements processes and workflows developing both written and visual depictions of requirements and process flows. The Business Systems Analyst works 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 BSA 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.
Responsibilities
Collaborateswith stakeholders to gather and analyze business requirements translating them into technical specifications for data engineering projects.
Performscomplex data analysis and creates insightful visualizations to uncover actionable insights that support operational and strategic decision-making.
Modelscleans and categorizes data sets for effective use in analytics applications.
Identifiesdata-related issues assess their severity and evaluate their business impact to inform data quality improvement initiatives.
Implementscorrective measures for inaccurate data values and other issues while addressing their underlying causes.
Developsdata quality guidelines and best practices for end users to reduce the likelihood of future issues.
Developsand maintains documentation for data flows data dictionaries and business processes.
Ensuresdata quality consistency and compliance with data governance policies.
Assistsin the evaluation and implementation of new data technologies and tools.
Performs other duties and projects as assigned.
Requirements:
Demonstrates knowledge of adherence to monitoring and responsibility for compliance with state and federal regulations and laws as they pertain to this position.
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.
Familiarity with data lakehouse concepts and technologies (e.g. Delta Lake Snowflake).
Knowledge of big data processing frameworks (e.g. Apache Spark Apache Dataflow).
Preferred knowledge of machine learning concepts and their applications in business.
Preferred familiarity with data streaming technologies (e.g. Dataflow Streaming Amazon Kinesis)
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.
Ability to organize and prioritize work schedules on a short-term and long-term basis.
Ability to provide consultation and expert advice to management.
Ability to make informal and formal presentations inside andoutside the organization; speaking before assigned team or other groups as needed.
Ability to deal with complex difficult problems involving multiple facets and variables in non-standardized situations.
Ability to work with little to no supervision while performing duties.
Technical Skills Required
Bachelors 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.
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 experience with data governance and data quality tools.
Preferred experience with version control systems (e.g. Git) and CI/CD pipelines.
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification.
They are not intended to be construed as an exhaustive list of all responsibilities duties and skills required of employees assigned to this job.
Why work for #teamloanDepot:
Compensation package based on experience and skill set.
An 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 nations 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 lifes 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 roles is between $111000 and $136500. 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.
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