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Senior Analyst - Partner Success Team
Company | Klarna |
Address | San Francisco, CA, United States |
Employment type | FULL_TIME |
Salary | |
Category | Software Development |
Expires | 2023-08-23 |
Posted at | 9 months ago |
On our path to becoming the world’s favorite way to shop, we’re assembling an unparalleled global talent network, accelerating individual careers, and disrupting entire industries. We are on a mission to liberate humanity from all the meaningless time spent managing their purchases and finances, so they can do more of what they love. We’re in search of global talent eager to embrace our atmosphere and defy their own expectations.
- Handle business planning, budgeting, forecasting, and track team KPIs.
- Oversee Monthly Business Review Process, including routine P&L analysis, providing comments and insights to Leadership.
- Develop pricing strategy, build business cases, and provide analytical support during the sales process.
- Drive optimization and customization of specific policies by understanding regional risk policies and risk profile.
- Perform profitability analyses and ad-hoc analyses on merchants, consumers, segments, products, and competitors.
- Partner across cross-functional teams to evaluate and develop impactful, strategic value-added programs and offerings that will grow both Klarna and our clients' businesses, and help drive objectives for our clients. Quantify commercial impact of proposed offerings and associated actions.
- Identify and automate inefficient processes to streamline operations across Global Analytics and Partner Success teams.
- Develop and maintain dashboards and reports to enable stakeholders to use self-serve reporting tools effectively.
- Experience generating business plans and forecasts.
- Knowledge of statistical modeling techniques (e.g., Regression analysis)
- Experience with data mining principles and querying data sets (e.g., using SQL for collecting data from multiple data systems).
- Experience in translating measurement outputs into Marketing optimization recommendations, and connecting multiple data sources and building dashboards in data visualization tools (e.g., Qliksense, Looker)
- Experience with digitally owned and operated, and traditional media analytics (e.g., email, social).
- Ability to use data for storytelling and presenting research findings to technical and non-technical audiences.
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