Reporting & Analytical Delivery:-Dashboard & Metrics Maintenance: Design, update, and manage recurring reports that track core business metrics and cross-departmental KPIs.-Ad-Hoc Analysis: Conduct targeted statistical and operational analyses to answer stakeholder questions, synthesizing complex data into clear, actionable summaries.-Performance & Experiment Tracking: Monitor A/B testing initiatives and operational changes to measure business impact and present clear findings to decision-makers.-Data Organization: Gather, structure, and clean datasets according to established data hygiene standards and analytical protocols.Stakeholder Partnership & Communication:-Requirements Gathering: Participate in discovery sessions with business leaders to translate operational inquiries into structured reporting requirements.-Data Storytelling: Communicate analytical findings clearly to both technical and non-technical partners using clean summaries and visual aids.-Team Collaboration: Partner closely with risk and analytics colleagues to maintain consistent reporting logic across all internal platforms.Data Quality & Technical Growth:-Validation & Auditing: Perform routine data quality audits to ensure information in reports is complete, timely, and accurate.-Anomaly Escalation: Identify data discrepancies or system inconsistencies and coordinate with senior analysts to resolve root causes.-Continuous Skill Development: Proactively build technical fluency in internal database architectures, querying tools, and analytics platforms.
1-4 years
-Degree in Business Analytics, Data Science, Statistics, Economics, Mathematics, Engineering, or a related quantitative field.-Prior experience in business intelligence, data analytics, or financial reporting.-Hands-on proficiency using SQL to query databases.-Direct experience evaluating A/B tests or operational experiments.-Background in financial services, banking, commercial lending, or fintech.
-Education: Bachelor's degree from an accredited institution.-Spreadsheet Proficiency: Advanced knowledge of Microsoft Excel for data analysis and modeling.-Data Aptitude: Foundational understanding of relational data principles, reporting methodologies, and data quality standards.-Technical Exposure: Basic familiarity with a analytical programming language (such as Python or R) and a willingness to learn SQL querying.-Data Visualization: General exposure to visual analytics platforms (e.g., Power BI, Tableau, or similar BI tools).-Soft Skills: Meticulous attention to detail, exceptional written and verbal communication skills, and the organizational ability to manage multiple deliverables under set timelines.
Bachelors
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