Manager, Data Analytics

At Synctera, we’re powering the future of FinTech. We help companies create new revenue streams and enhance their value proposition with FinTech apps and embedded banking products. With APIs, compliance support, and bank partners in one end-to-end Banking as a Service platform, Synctera is the fastest and easiest way to build, launch, and scale bank accounts, debit cards, charge cards, lending, and more. We help banks increase deposits and non-interest income by expanding their footprint through FinTech and embedded finance partnerships. The Synctera Platform enables banks to manage their program through a fully compliant, scalable solution.

We are looking for interesting, curious, wickedly smart people who are ready to jump in and run with our fast-growing team. If you want to have fun at work, collaborate with some of the sharpest people in the industry, grow the FinTech and Banking as a Service ecosystem, and love to win, read on!

What We’re Looking For

We are seeking a high-performing Manager, Data Analytics to join our Data team as an individual contributor. In this role, you will demonstrate mastery in applying theories, principles, concepts, and methodologies to innovative solutions across Synctera’s Banking-as-a-Service (BaaS) platform.

You will serve as a go-to analytical resource across specific data domains such as customer onboarding metrics and transaction behavior. You will be responsible for independently planning and executing assignments, resolving conflicts, designing robust analytical frameworks, optimizing reporting workflows, and partnering closely with cross-functional teams to deliver exemplary work.

Functional & Analytics Mastery

• Bring deep expertise in specific data domains, including customer onboarding metrics, transaction behavior, and core platform operations, serving as a trusted go-to resource for teammates and partners.
• Design, implement, and maintain analytical frameworks, dashboards, and KPI metrics that deliver actionable intelligence across the business.
• Optimize reporting workflows and data pipelines to improve data accessibility, consistency, and reporting efficiency.
• Actively train, mentor, and upskill colleagues on analytics tools, query techniques, and best practices.

Project Scope & Prioritization

• Own and design the scope of your analytical projects from concept to completion, driving on-time execution.
• Set and communicate priorities independently and in close collaboration with relevant stakeholders.
• Proactively identify and communicate blockers or changes to timelines and priorities, working collaboratively to mitigate potential impacts.
• Influence peers and project collaborators to maintain alignment on project scope and key milestones.

Navigating Ambiguity & Driving Impactful Work

• Operate effectively in ambiguous situations, bringing creative solutions to establish clarity where processes are not yet well-defined.
• Plan and complete complex assignments independently, resolving most conflicts and analytical hurdles without requiring escalation.
• Achieve buy-in and alignment with key stakeholders on analytical approaches and recommendations.
• Coordinate cross-functional projects involving internal and external stakeholders, frequently leading groups toward delivering exemplary outcomes.

Cross-Functional Collaboration & Stakeholder Perception

• Lead collaboration across departments to align efforts, eliminate silos, and achieve shared platform goals.
• Act as a primary change agent within your functional area, building lasting trust and credibility across Engineering, Product, Payment Operations, Compliance, and Finance.
• Deliver technically sound, high-rigor insights that drive measurable business impact.

What You'll Bring

• Experience: 4+ years of data analytics experience demonstrating mastery in quantitative analysis, business intelligence, and reporting infrastructure as an individual contributor.
• FinTech Domain Knowledge: Solid understanding of core FinTech, banking infrastructure, or payment data, specifically onboarding conversion funnels, transaction behavior, or partner/account metrics.
• Technical Mastery: Advanced proficiency in SQL and data modeling; strong experience building scalable dashboards and visual reports in modern BI tools (e.g., Looker, Tableau); working familiarity with analytical scripting languages (such as Python or R).
• Autonomous Problem Solving: Proven ability to operate autonomously in fast-paced or ambiguous environments, defining project scopes, setting priorities, and driving solutions to completion.
• Cross-Functional Partnership: Excellent communication skills with demonstrated success leading cross-functional collaborations and achieving alignment among diverse stakeholders.
• Commitment to Quality: Rigorous attention to detail, metric accuracy, and data governance best practices.