The Opportunity:The Senior Business Intelligence Analyst partners with cross-functional teams to gather business requirements, support data product development, and deliver actionable insights. This role bridges project-based analysis and strategic insight generation, ensuring data quality, governance, and usability-particularly for Debit and Credit data.
Day In The Life:- Partner with stakeholders to gather and translate business needs into technical requirements.
- Analyze and prepare requirements documentation including but not limited to: Defining business functional requirements, business rules, data definitions, data transformations, end user reporting, and semantic layers.
- Provide input into the design, development and maintenance of BI solutions, semantic layers, and data products.
- Analyze large datasets to uncover trends, profile and validate data, and generate insights for internal and external stakeholders.
- Collaborate with Data Science to develop models and advanced analytics.
- Promote data governance, quality standards, and consistent data definitions.
- Serve as a subject matter expert and data authority for multiple data domains and strategic initiatives.
- Deliver consultative insights to stakeholders to support data-driven decisions.
- Maintain data definitions, metadata, and lineage documentation.
- Enforce data governance standards and ensure data accuracy and consistency.
- Lead efforts in identifying and resolving data quality issues.
- Serve as the point person for any data issues that arise, determine the root cause of the issue and determine the path to resolution
- Lead stakeholder meetings and communicate findings to technical and non-technical audiences.
- Build and maintain strong relationships across business units and external partners.
- Lead training sessions at user forums, governed data sources, and tools, and contribute to user education materials.
- Manage multiple priorities and deal effectively with senior management, staff members, clients, and vendors including doing in-person or virtual presentations
- Act as a consultant on data best practices, architecture, and process improvement.
- Deliver consultative insights to stakeholders to support data-driven decisions.
- Provide coaching/mentoring and reviewing the work of team members ensuring processes are followed appropriately
- Manage the processes for the loading of data
- Drive process improvement for all data quality core processes to execute with simplicity, speed, quality and efficiency
- Strong leadership and problem-solving skills and the ability to negotiate with and influence others
- Must be able to take the lead and work independently to drive projects forward.
- Perform other duties as assigned.
Qualifications:- Bachelor's degree in Business Administration, Information Science, Data Science, Applied Mathematics, Business Intelligence, or a related quantitative discipline, or an equivalent combination of education and experience is required.
- Master's degree in Information Systems, Data Science, or Business Administration is preferred.
- Relevant industry and technical certifications are a plus.
- Minimum 7 years of experience in a Business Intelligence or Business Analyst role, with a focus on data analysis, trend identification, and insight delivery, or a proven track record of expertise.
- Minimum 5 years of experience in the payments industry .
- Minimum 2 years of project management experience including leading cross-functional initiatives and managing timelines and deliverables.
- Advanced proficiency in BI tools, with Strategy preferred.(e.g., SAP Business Objects, Tableau, Power BI, Qlik), including experience with building reports, dashboards and visualizations.
- 5+ years writing SQL queries, proficiency in Python a plus
- At least 3 years in project management or business consulting, translating business needs into data solutions.
- Experience with Azure DevOps (ADO) or similar tooling
- Practical understanding of Agile methodology
- Excellent communication skills and ability to work with other teams and senior leadership
- Proven ability to manage multiple projects and meet deadlines in a fast-paced environment.
- Strong analytical, organizational, and communication skills.
- Skilled in stakeholder engagement, consensus building, and cross-functional collaboration.
- Understanding of machine learning concepts and data architecture.
- Knowledge of data governance, metadata management, and the payments industry.
- Self-motivated, results-driven, and adaptable to changing priorities.
Pay Equity$84,900.00 - $108,200.00
Actual Pay will be adjusted based on experience and other job-related factors permitted by law.
Great Work/Life Benefits!- Competitive wages
- Medical with telemedicine
- Dental and Vision
- Basic and Optional Life Insurance
- Paid Time Off (PTO)
- Maternity, Parental, Family Care
- Community Volunteer Time Off
- 12 Paid Holidays
- Company Paid Disability Insurance
- 401k (with employer match)
- Health Savings Accounts (HSA) with company provided contributions
- Flexible Spending Accounts (FSA)
- Supplemental Insurance
- Mental Health and Well-being: Employee Assistance Program (EAP)
- Tuition Reimbursement
- Wellness program
- Benefits are subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions
