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$88K - $116K/yr
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Transportation Client Advisor
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Weekend Data Analyst Fintech information
What is the difference between Weekend Data Analyst Fintech vs Weekend Data Analyst Banking?
| Aspect | Weekend Data Analyst Fintech | Weekend Data Analyst Banking |
|---|---|---|
| Required Credentials | Bachelor's in Data Science, Finance, or related field; familiarity with fintech tools | Bachelor's in Finance, Economics, or related; knowledge of banking systems |
| Work Environment | Startups, online platforms, flexible hours | Traditional bank branches, financial institutions, similar flexible weekend roles |
| Employer & Industry Usage | Fintech companies, online lenders, digital payment firms | Commercial banks, retail banking, financial services |
The main difference between Weekend Data Analyst Fintech and Weekend Data Analyst Banking lies in the industry focus and work environment. Fintech roles are often in innovative, digital-focused companies requiring familiarity with new financial technologies, while banking roles are within traditional financial institutions emphasizing banking systems and regulations. Both roles typically require similar data analysis skills but cater to different sectors within finance.
Full-time
Posted 17 days ago
Job description
Job Summary
This job works closely with stakeholders to define data needs, develop models, and extract actionable insights for informed decision-making. It leverages advanced analytics and big data platforms to predict trends and measure business performance. The role also upholds data governance standards to ensure quality and compliance in analytics.Job Description
This position is an in-office role 4 days a week and 1 day remote.
Responsibilities:
AI-Driven Forecasting & Planning
- Lead the development and implementation of AI-enabled forecasting solutions.
- Apply machine learning, predictive analytics, and scenario modeling to improve forecast accuracy and business planning.
- Design and maintain rolling forecast frameworks that automatically incorporate changing business conditions.
- Drive automation of forecast updates, assumptions management, variance analysis, and reporting.
Budget & Financial Performance Optimization
- Modernize budget development and forecasting processes through automation and AI.
- Develop intelligent models that identify risks, opportunities, and performance drivers.
- Create automated budget allocation and investment optimization frameworks.
- Support long-range planning through advanced business and financial modeling.
- Improve planning cycle speed while enhancing transparency and accountability.
Performance Management Transformation
- Build AI-driven performance management capabilities that identify trends, opportunities, and operational risks.
- Create automated scorecard generation and target-setting processes.
- Develop predictive performance indicators to proactively identify areas requiring intervention.
- Leverage AI to generate actionable insights, coaching recommendations, and operational guidance.
- Design frameworks that connect operational metrics, incentive programs, and financial outcomes.
Process Automation & Efficiency
- Evaluate and redesign complex business processes to eliminate manual activities.
- Deploy AI agents, workflow automation, and self-service analytics solutions.
- Reduce cycle times for forecasting, budgeting, reporting, and business reviews.
- Standardize tools, methodologies, and operating procedures.
- Establish measurable efficiency targets and track realized value.
Advanced Analytics & Modeling
- Develop predictive, prescriptive, and scenario-based models to support strategic decisions.
- Create simulations and sensitivity analyses to evaluate business opportunities and risks.
- Translate complex analytics into executive-ready recommendations.
Strategic Leadership
- Partner with Finance, Operations, Technology, and Executive Leadership to identify high-value AI opportunities.
- Collaborating with business leaders to discern data requirements and crafting technical specifications for analytics
- Evaluating data relevance, sourcing alternatives, and ensuring robust analytics for stakeholder inquiries
- Employing self-service tools to analyze complex datasets, extracting actionable business insights
- Querying diverse big data platforms, including Teradata, SQL Server, Hadoop, and AWS, for comprehensive analysis
- Merging datasets from varied sources to support thorough business analysis
- Conducting exploratory data analysis, hypothesis testing, and pinpointing key business drivers
- Developing predictive models for sales, demand, and other vital business metrics
- Assessing campaign outcomes, measuring effectiveness, and pinpointing enhancement opportunities
- Ensuring compliance with data governance policies and standards across analytics practices
- Consistent exercise of independent judgment and discretion in matters of significance.
- Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary.
- Other duties and responsibilities as assigned.
Employees at all levels are expected to:
- Understand our Operating Principles; make them the guidelines for how you do your job.
- Own the customer experience think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
- Know your stuff be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
- Win as a team make big things happen by working together and being open to new ideas.
- Be an active part of the Net Promoter System a way of working that brings more employee and customer feedback into the company by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
- Drive results and growth.
- Support a culture of inclusion in how you work and lead.
- Do what's right for each other, our customers, investors and our communities.
Skills
Actionable Insights, Analytics, Business Operations, Data ForecastingCompensation
This job can be performed in Colorado, Illinois, and Minnesota with a Pay Range of $66,115.55 - $109,090.66Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.
Education
Bachelor's DegreeWhile possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.Certifications (if applicable)
Relevant Work Experience
2-5 YearsComcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.