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About careerzynith – Pioneering the Future of Digital Financial Services
careerzynith delivers a unified, digital‑first origination and decisioning platform that empowers financial institutions to thrive in an increasingly fast‑paced market. Our modular, cloud‑native solution scales effortlessly with banks and credit unions at any stage of their digital transformation, enabling everything from loan origination to deposit account opening to be launched in months rather than years. With built‑in fraud orchestration, risk management, and enterprise‑grade compliance, careerzynith helps its clients manage trillions of dollars in assets while serving tens of millions of consumers across the United States.
At careerzynith, inclusion, diversity, and belonging are not just buzzwords—they are the foundation of our culture. We actively foster an environment where every team member can bring their whole self to work, collaborate across differences, and drive innovative outcomes together. If you are passionate about data, love solving complex business problems, and thrive in a collaborative, high‑impact setting, you will feel right at home here.
Why This Role Matters – The Impact You’ll Have
As the Senior Manager – Customer Analytics you will be the analytical engine behind careerzynith’s customer‑centric strategy. You will partner with Customer Success, Revenue Operations, Finance, Product, and Marketing to translate raw data into actionable insights that improve customer satisfaction, increase retention, and drive revenue growth. Your work will directly influence senior leadership decisions and shape the experience of careerzynith’s enterprise‑level clients.
Key Responsibilities
- Strategic Analysis & Forecasting: Dive deep into customer usage, performance, and product data. Identify trends, explain variances, and develop forward‑looking forecasts that inform product roadmaps and go‑to‑market strategies.
- Data‑Driven Initiative Leadership: Own end‑to‑end analytical projects that enhance partner growth and profitability. Translate insights into concrete recommendations for fraud detection, credit optimization, and authentication workflows.
- Dashboard & Reporting Excellence: Design, build, and maintain intuitive dashboards and executive‑level reports that track customer health, usage patterns, and key performance indicators (KPIs).
- Cross‑Functional Collaboration: Work closely with Customer Success Managers, Revenue Operations, Finance, and Product teams to gather requirements, align on priorities, and deliver data‑centric solutions.
- Stakeholder Communication: Present findings and strategic recommendations to senior leadership at careerzynith and to senior client stakeholders, crafting compelling narratives that drive decision‑making.
- Executive Business Review Support: Partner with Customer Success to develop executive business review decks that showcase value, highlight opportunities, and strengthen client relationships.
- Continuous Improvement: Proactively identify opportunities to streamline data pipelines, improve data quality, and enhance the overall customer experience through analytics‑driven insights.
Essential Qualifications
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a closely related discipline.
- 7+ years of hands‑on experience in data analysis, preferably within a customer‑facing role in the fintech or digital banking space.
- Advanced proficiency in SQL for data extraction, transformation, and manipulation.
- Demonstrated ability to interpret complex data sets, uncover hidden patterns, and translate them into clear, actionable business recommendations.
- Exceptional communication skills, with a proven track record of presenting technical findings to both technical and non‑technical audiences.
- Executive presence and confidence when interacting with senior client stakeholders, especially in credit‑risk contexts.
- Experience with modern data‑visualization tools such as Tableau, Power BI, or Looker.
- Meticulous attention to data accuracy, quality, and governance.
- Ability to thrive in a fast‑paced, collaborative environment while juggling multiple priorities.
Preferred Qualifications & Additional Skills
- Master’s degree or advanced certifications in analytics, data engineering, or business intelligence.
- Hands‑on experience with cloud data platforms (e.g., AWS Redshift, Snowflake) and big‑data technologies (e.g., Hadoop, Spark).
- Familiarity with statistical programming languages such as Python or R for advanced modeling.
- Background in financial services, lending, or credit risk analytics.
- Proven ability to lead cross‑functional projects from inception through delivery, managing timelines and stakeholder expectations.
- Experience building self‑service analytics environments that empower business users to explore data independently.
Core Competencies for Success
- Analytical Rigor: Strong quantitative mindset with a passion for turning data into strategic advantage.
- Business Acumen: Deep understanding of financial services, revenue models, and customer lifecycle dynamics.
- Collaboration: Ability to build trust and influence across diverse teams and senior leadership.
- Storytelling: Skillful at crafting data‑driven narratives that resonate with executives and drive action.
- Adaptability: Comfortable navigating ambiguity, shifting priorities, and rapid growth environments.
- Innovation: Eagerness to experiment with new analytical techniques, tools, and approaches.
Career Growth & Learning Opportunities
careerzynith is committed to your professional development. In this role you will:
- Gain exposure to senior leadership and high‑impact strategic initiatives across the entire revenue organization.
- Lead a high‑visibility analytics function, positioning yourself for future leadership roles such as Director of Analytics or VP of Revenue Strategy.
- Access a robust learning ecosystem that includes mentorship programs, tuition reimbursement for advanced certifications, and internal workshops on emerging data technologies.
- Participate in industry conferences, webinars, and thought‑leadership forums to stay at the forefront of fintech analytics.
Culture, Benefits, & Compensation
careerzynith offers a competitive total‑reward package designed to attract and retain top talent:
- Base Salary: $146,250 – $170,625, commensurate with experience and expertise.
- Performance Bonus: Annual discretionary bonus tied to individual and company performance.
- Equity Participation: Opportunity to own a stake in careerzynith’s growth through stock options.
- Health & Wellness: Comprehensive medical, dental, vision, and mental‑health benefits.
- Retirement Savings: 401(k) plan with company match.
- Flexible Work Arrangements: Hybrid remote model with the option to work from careerzynith’s Chicago headquarters or any U.S. remote location.
- Paid Time Off & Holidays: Generous PTO, paid parental leave, and company‑wide holidays.
- Professional Development: Annual learning stipend, conference attendance budget, and internal training resources.
- Employee Resource Groups: Active communities that celebrate diversity, foster inclusion, and support personal growth.
About careerzynith – Quick Facts
- Founded: 2020
- Employees: 150+
- Headquarters: Chicago, with remote teams across the United States
- Funding: Over $281 M raised to date, achieving a $1 B valuation.
- Key Clients: careerzynith, careerzynith, careerzynith, careerzynith, careerzynith, careerzynith, careerzynith, careerzynith, careerzynith, careerzynith
- Technology Stack Highlights: AWS, Python, Java, Ruby, Go, Node.js, Scala, Apache NiFi, Talend, Informatica, Hadoop, Hive, Spark, Pandas, Looker, Airflow, Kubernetes, C#, .NET Core, Microsoft SQL Server, and more.
Join careerzynith – Your Next Career Chapter
If you are ready to leverage your analytical expertise to shape the future of digital finance, we want to hear from you. At careerzynith you will be part of a purpose‑driven team that values curiosity, collaboration, and continuous improvement. Apply today and help us empower financial institutions to deliver seamless, secure, and innovative experiences to millions of customers.
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