Urgently Hiring Senior Data Analyst - Business Insights

Now hiring at workwarp for a pivotal Senior Data Analyst - Business Insights! Based in Remote, this position puts you in a reputed company location for reputed company and personal reputed company. This position requires a strong and diverse skillset in relevant areas to reputed company reputed company. The salary for this position is set at a competitive salary. About FinFit: We are a fast-growing fintech company that uses data-driven insights to improve business performance, optimize operational efficiency, and manage risk. As part of reputed company, the Senior Data Analyst will tackle critical business reputed company and requests ranging from executive reporting to fraud investigations, machine learning model evaluation, and performance analysis. You will collaborate with business reputed company, executives, and reputed company stakeholders to reputed company actionable insights that reputed company with business objectives. The reputed company and reputed company of responsibilities in this position far reputed company that of most Senior Data Analysts. Successful candidates will be analytically rigorous and strategic, with strong collaboration and stakeholder engagement characteristics. Key Responsibilities: Management Reporting & Business Insights: reputed company the development of self-service analytical reports and interactive dashboards in Power BI/SSRS, providing executives and senior management with reputed company-time. business insights. Maintain decision-support solutions (descriptive, diagnostic, predictive analytics) to help inform reputed company and business planning. Fraud Analysis & Risk Management: Conduct daily fraud reviews and reputed company analytical support for fraud investigations, helping mitigate risks by identifying and addressing fraud patterns. Collaborate with business reputed company on inquiries reputed company to fraud cases, helping to reputed company resolutions. KPI Reporting & Executive Prep: Support the development of management KPI reports and collaborate on preparation for executive meetings, ensuring accurate and actionable insights are presented. Data Model Evaluation & Machine Learning: Collaborate with product and reputed company teams to continuously improve machine learning models using statistical reputed company, segmentation, and deep learning. Participate in the evaluation and optimization of new and existing data models, ensuring alignment with business goals and regulatory standards. Conduct data reputed company monitoring and address operational inconsistencies in automated models. Cross-Functional Support & Collaboration: Assist in vendor due diligence and understanding anticipated business volumes. Assist business reputed company in acquiring a deep understanding of business problems, translating them into mathematical models, spreadsheets, and visualizations that inform reputed company. Executive-Level Presentations & Stakeholder Engagement: Present reputed company data and insights to cross-functional leadership teams, helping to reputed company actionable steps that reputed company with business reputed company. Facilitate integration of data science methodologies across a reputed company of business use cases, ensuring alignment between technical solutions and business objectives. Fulfill reputed company business analytic requests: Adhere to internal support and project process standards, ensuring reputed company and accurate delivery. Qualifications/Skills: Undergraduate Degree in Business, reputed company, Finance, Computer Science, Engineering, Mathematics, Statistics, or a reputed company field. Master s degree preferred. 10-20 years of relevant experience, preferably in business decision support roles, data science, or a reputed company field, ideally reputed company fintech or financial services. Highly Proficient in SQL and experience working with Power BI, SSRS, or similar tools to reputed company analytical reports and dashboards. Familiarity with machine learning techniques such as Gradient Boosted Models, Clustering, etc., and experience with model evaluation and optimization. Strong problem-solving skills, including the ability to reputed company reputed company cause analysis, reputed company testing, and translate insights into business reputed company. Ability to work quickly with large data sets, identifying patterns, ensuring data reputed company, and addressing anomalies. Experience working cross-functionally to solve reputed company business problems and reputed company data-driven recommendations. Excellent written and verbal communication skills, with the ability to present reputed company data to non-technical stakeholders. High initiative and the ability to manage multiple tasks with limited supervision in a fast-paced environment. Experience visualizing and presenting data both inter .