Job Description
Data Analyst/Data Modeler
Location: Irving, TX
Job summary:
The Data Analyst will play a critical role focusing on building and maintaining robust canonical data models. This role involves analyzing complex financial data, defining and documenting data structures, and ensuring data quality and integrity across various systems involved in securities lending, borrowing, and collateral management. The ideal candidate will bridge the gap between business requirements in securities finance and technical implementation, contributing to scalable and accurate data solutions.
Responsibilities
Collaborate with business stakeholders to understand data requirements and translate them into technical specifications for canonical data models.
Design, develop, and maintain canonical data models and schemas.
Ensure data quality, accuracy, and integrity within the data models, implementing data validation rules and monitoring data flows.
Work closely with data architects, developers, and other analysts to implement data models in various technology platforms.
Document data definitions, data lineage, business rules, and technical specifications for the canonical data models.
Perform data analysis and extract insights from large datasets using tools like SQL, Excel, and potentially Python or R.
Create reports, dashboards, and visualizations to support data governance, data quality, and business understanding of securities finance data.
Participate in testing and validation of data models and data transformations.
Stay informed about industry best practices, regulatory requirements, and emerging trends in securities finance and data management.
Qualifications Required
A Bachelor's degree in a relevant field such as Finance, Economics, Computer Science, or Information Systems is required.
Candidates should have at least 3 years of experience in data or financial analysis, preferably within financial services.
A strong understanding of securities finance, including lending, borrowing, and collateral management, is essential.
Required technical skills include proficiency in SQL and advanced Excel for data analysis and modeling. Experience with data modeling tools and methodologies, as well as familiarity with database concepts, is also necessary.
Essential soft skills include strong analytical and problem-solving abilities with attention to detail, excellent communication skills for explaining complex data, and the ability to collaborate effectively in a team environment.
Experience: 5-8 Years .
The expected compensation for this role ranges from $60,000 to $135,000 .
Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.
Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.
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