Blend360 LLC

Blend360 LLC

Cards Portfolio Analyst

Minneapolis, MN, United States · Full-time

Work authorization required$60k-$65kDetected 36 days ago
SQLDatabricksData AnalysisData ScienceData VisualizationA/B TestingMarketing AnalyticsCommunicationProblem SolvingOrganizational Skills

About the role

  • Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people.
  • The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy.
  • We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients.

Responsibilities

  • Identify trends, customer behaviors, and portfolio opportunities that support growth, increased card usage, and improved customer engagement.
  • Partner with marketing teams to evaluate campaign effectiveness and measure the impact of customer acquisition and engagement initiatives.
  • Support A/B testing, segmentation analysis, and performance measurement efforts to optimize marketing investments.
  • Deliver insights that help guide marketing strategy, customer targeting, and portfolio growth initiatives.
  • Design, develop, and maintain executive dashboards and reporting solutions using tools such as Tableau, Power BI, SQL, and related business intelligence platforms.
  • Create scalable reporting frameworks that improve visibility into portfolio performance and reduce manual reporting efforts.
  • Collaborate closely with Product Management, Marketing, Analytics, Operations, and Data teams to translate business questions into analytical solutions.
  • Support business case development, prioritization, and implementation of portfolio enhancement initiatives.
  • Present findings and recommendations to stakeholders, helping drive data-informed decision-making across the organization.

Requirements

  • Approximately a 6-month consulting role with the possibility of extension (must be able to work on Blend's W2 without sponsorship)
  • Bachelor's degree in Business, Finance, Analytics, Economics, Marketing, or a related field.
  • 5+ years of experience in financial services, consumer lending, credit cards, portfolio analytics, or related disciplines.
  • 3+ years of experience in data analysis, reporting, business intelligence, or portfolio management.

Nice to have

  • Wealth management, banking, consumer lending, or credit card industry experience strongly preferred.

Skills

  • Advanced analytical and problem-solving capabilities with the ability to transform complex data into meaningful business insights.
  • Strong SQL skills and experience querying large datasets.
  • Experience defining, measuring, and reporting on KPIs and portfolio performance metrics.
  • Familiarity with enterprise data environments and multiple data source integrations.
  • Exposure to Databricks or similar modern data platforms is a plus.
  • Marketing & Business Acumen
  • Understanding of customer lifecycle management, campaign analytics, customer segmentation, and engagement strategies.
  • Experience supporting marketing performance measurement and optimization initiatives.
  • Knowledge of consumer credit card products, payments, lending, or related financial products preferred.
  • Collaborative mindset with experience working in cross-functional environments.
  • Self-starter who thrives in fast-paced, data-driven organizations.
  • A diverse workforce is a strong workforce

Compensation

  • $60k-$65k

Benefits

  • We do offer benefits to our full-time consultants, including Health, Vision, Dental, 401K plan, Life Insurance, Pretax Commuter Benefits, and an incredibly supportive team cheering you on!

Visa & Work Authorization

  • : Approximately a 6-month consulting role with the possibility of extension (must be able to work on Blend's W2 without sponsorship)

This listing is sourced directly from Blend360 LLC's careers page and normalized into a canonical job model.