B2B Marketing Data Analyst
@ Snap Finance USB2B Marketing Data Analyst
About the job
Snap Finance offers flexible financing solutions using data and machine learning. They focus on empowering customers and partners with an inclusive culture. The role involves analyzing marketing performance and providing strategic insights to drive partner growth.
Requirements
- Proficiency in Excel and SQL
- Experience analyzing B2B marketing performance
- Knowledge of BI tools like Tableau or Power BI
- Experience with CRM and marketing platforms
Qualifications
- Bachelor's in Marketing or related field
- 3+ years in marketing analytics or similar
- Strong analytical thinking
- Excellent communication skills
- Ability to manage multiple priorities
Full job description
Company Overview:
At Snap Finance, we believe everyone deserves access to the things they need, regardless of credit history. Since 2012, we've used data, machine learning, and a more human approach to create flexible financing solutions that help people move forward. We're proud of our inclusive, supportive culture, built on empowering our customers, partners, and team members alike. When our people thrive, so does our innovation.
If you're looking to make an impact and grow with a team that values you, come join us!
Job Description
Snap Finance is looking for a data-driven B2B Marketing Analyst to help optimize marketing performance and accelerate partner growth. In this role, you'll transform marketing data into actionable insights, measure campaign effectiveness, and identify opportunities to improve lead generation, partner engagement, and revenue impact. You'll collaborate closely with Marketing, Sales, Business Development, Product, and Analytics teams to develop reporting, monitor KPIs, and support strategic decision-making across the B2B marketing organization.
How you’ll make an impact:
- Analyze B2B marketing campaign performance across digital, email, events, partner marketing, and demand generation initiatives.
- Develop and maintain dashboards, reports, and scorecards that provide visibility into marketing funnel performance and key business metrics.
- Measure campaign ROI, lead quality, conversion rates, customer acquisition costs, and marketing-attributed revenue.
- Partner with Sales and Revenue Operations to evaluate pipeline performance and optimize lead management processes.
- Identify trends, opportunities, and areas for optimization using marketing and CRM data.
- Perform ad hoc analyses to support strategic initiatives and executive decision-making.
- Build forecasting models and performance analyses to guide marketing investments.
- Collaborate with Marketing Operations to ensure data accuracy, attribution, and reporting consistency.
- Support A/B testing initiatives by measuring outcomes and providing recommendations for continuous improvement.
- Present insights and recommendations to stakeholders through clear, compelling data visualizations and presentations.
What you’ll need to succeed:
- Bachelor's degree in Marketing, Business, Analytics, Statistics, Economics, or a related field.
- 3+ years of experience in marketing analytics, business analytics, revenue operations, or a related analytical role.
- Experience analyzing B2B marketing performance and demand generation metrics.
- Strong proficiency in Excel and SQL.
- Experience with BI and visualization tools such as Tableau, Power BI, or Looker.
- Familiarity with CRM and marketing automation platforms such as Salesforce, HubSpot, Marketo, or similar tools.
- Strong analyical thinking with the ability to interpret complex datasets and communicate findings effectively.
- Excellent problem-solving, organizational, and communication skills.
- Ability to manage multiple priorities in a fast-paced, collaborative environment.
What would make you stand out:
- Experience supporting fintech, financial services, SaaS, or technology organizations.
- Knowledge of multi-touch attribution models and marketing funnel analytics.
- Experience with Google Analytics (GA4), Adobe Analytics, or similar digital analytics platforms.
- Familiarity with statistical analysis, experimentation, and predictive modeling.
- Experience working with large datasets in cloud data platforms such as Snowflake or BigQuery.
- Working knowledge of Python or R for data analysis and automation.
- Passion for using data to drive business growth and marketing innovation.
Why Join Us:
Generous paid time off
Competitive medical, dental & vision coverage
401K with company match for US
Company-paid life insurance
Company-paid short-term and long-term disability
Access to mental health and wellness resources
Company-paid volunteer time to do good in your community
Legal coverage and other supplemental options
A value-based culture where growth opportunities are endless
More:
Snap values diversity and all qualified applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Learn more by visiting our website at www.snapfinance.com.
California Residents, please review our California Consumer Privacy Act Notice at https://snapfinance.com/ccpa-notice
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