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Senior Consumer Analyst (Finance, Remote)

Hvidovre Municipality, Capital Region
Posted 1 week ago
Data Science

About the role

Job summary

The role focuses on leveraging data to drive business impact, specifically in the consumer loans sector across Nordic markets. The Senior Consumer Analyst will collaborate with stakeholders to enhance decision-making through data insights, particularly in pricing strategies.

Qualifications

  • Over 5 years of experience in data analytics or a related field.
  • Background in CRM analytics, customer insights, reporting, pricing, or profitability analysis.
  • Familiarity with large datasets and translating insights into actionable business strategies.
  • Experience in the financial industry is beneficial.
  • Graduate degree in Finance, Economics, Engineering, Quantitative Methods, or equivalent experience.

Responsibilities

  • Manage and enhance the Nordic pricing ecosystem for Consumer Loans, ensuring competitive and compliant pricing.
  • Analyze market trends and customer behavior to inform pricing and business decisions.
  • Refine pricing strategies while ensuring alignment with risk and regulatory requirements.
  • Support performance management through forecasting, budgeting, and profitability analysis.
  • Improve data-driven practices by developing dashboards and automating pricing processes.
  • Collaborate with teams to enhance products and campaigns, fostering knowledge sharing.

Skills

Personal characteristics

  • Strong analytical and numerical skills with a business-oriented approach.
  • Ability to communicate complex information clearly and effectively.
  • Proficiency in Excel and PowerPoint.
  • Coding skills in SQL, SAS, Python, or R are advantageous.
  • Experience with Power BI or similar tools is a plus.
  • Knowledge of at least one Nordic market, including local dynamics and regulations.
  • Curious, proactive, and solution-focused.
  • Structured with a continuous improvement mindset.
  • Confident in sharing ideas and constructively challenging perspectives.
  • Self-driven with a collaborative approach.

Tools

  • Excel, PowerPoint, SQL, SAS, Python, R, Power BI.
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