Senior Business Intelligence Analyst - Remote

Velera

8d•$84,900 - $108,200•Remote

About The Position

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.

Requirements

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.
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.

Nice To Haves

Master's degree in Information Systems, Data Science, or Business Administration is preferred.
Relevant industry and technical certifications are a plus.

Responsibilities

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.