Partnership Analytics Analyst II - job 1 of 2

As a Partnership Analytics Analyst II at Credit Karma, your primary responsibilities include leveraging data to generate actionable business recommendations, conducting tests to support new launches and improve existing features, and designing exploratory analyses to identify growth opportunities. You will also partner with engineering and business intelligence teams to ensure proper tracking of analytics.

Candidates for the Partnership Analytics Analyst II position at Credit Karma should have 2-4 years of analytics experience and a BS/MS in relevant fields such as Math, Statistics, or Data Science. Additionally, 2+ years experience with SQL, A/B testing, and data visualization tools like Looker or Tableau is essential.

The Partnership Analytics Analyst II role contributes to Credit Karma's growth by providing data-driven insights that inform product and marketing decisions. By analyzing internal and external data, you help identify key opportunities, improve existing features, and enhance partnerships, directly impacting user acquisition and retention.

Preferred experiences for the Partnership Analytics Analyst II role include exposure to fintech or financial services, familiarity with programming languages like R or Python, and a proven ability to communicate results clearly. Strategic and analytical experience from a consulting background is also highly regarded.

As a Partnership Analytics Analyst II at Credit Karma, you can expect a variety of generous benefits, including comprehensive medical and dental coverage, a retirement plan, commuter benefits, wellness perks, paid time off, and educational perks. We strive to foster a collaborative and inclusive environment for our team.

Discuss specific projects where you utilized SQL to analyze data sets. Be sure to highlight how your SQL skills led to actionable insights and contributed to previous employers’ goals.

Explain your process for designing A/B tests, setting success metrics, and analyzing results. Use examples to illustrate your analytical thinking and how you've applied these tests in past roles.

Share the tools you're proficient in, such as Looker or Tableau, and discuss a specific instance where effective data visualization influenced decision-making within a project.

Discuss how you assess business needs, evaluate data availability, and prioritize analyses based on potential impact on strategic goals, possibly using a specific example from your previous work.

Outline a challenge you identified through analysis, the solution you proposed, and the successful outcome that followed. This demonstrates your ability to drive impact through data.

Describe a previous experience where you encountered ambiguity and your approach to clarifying requirements through stakeholder engagement and iterative analysis.

Discuss essential metrics like user acquisition rates, retention rates, partner satisfaction, and transaction volumes. Justify why these metrics are critical for evaluating partnership success.

Speak to your communication style, tools you use (like Slack or Asana), and share a specific example of a successful cross-functional project you contributed to.

Detail the key aspects you analyze, such as user behavior data, market trends, and historical performance of similar products to inform effective learning agendas.

Express your passion for financial technology and explain how the company’s mission aligns with your career goals. Highlight your enthusiasm for data analysis and driving positive change in the financial space.