Senior Business Intelligence Analyst

Kinective • Gilbert, AZ

8h • $120,000 - $140,000

About The Position

Lead the Way to Intelligent Banking with Us!
You might not think about what happens behind the scenes when you check your bank balance or deposit a check from your phone, but we do. Every day.

Kinective empowers banks and credit unions to move beyond keeping up with technology to shaping the future of banking. Our platform seamlessly connects the right tools, delivers real-time data, and drives smarter operations for more than 4,000 financial institutions nationwide. We are a fast-growing team built on individual ownership, company-wide collaboration, and setting industry-leading standards. Here, new ideas are encouraged, candid feedback is welcomed, and your growth truly matters as much as the company’s. At Kinective, we are leading the way to intelligent banking together and enjoying the journey along the way.

Why This Role Matters
We are seeking a technically strong and business-oriented Senior BI Analyst – Financial Reporting to support a private equity-backed, multi-product FinTech organization. This role is focused on building scalable business intelligence solutions that unify large, complex datasets across multiple systems and transform them into executive-grade dashboards and performance
reporting.

Operating in a data-rich environment, this role requires deep expertise in data modeling and dashboard development—while maintaining fluency in SaaS-style financial metrics (ARR, NRR, churn, LTV/CAC). This position partners closely with FP&A, RevOps, and executive leadership to ensure consistent, accurate, and automated reporting and to explain key business drivers through
data insights.

Requirements

• 5–8+ years of experience in Business Intelligence or Analytics roles
• Advanced SQL expertise with experience modeling large-scale financial and operational datasets
• Deep experience building dashboards and semantic layers in Tableau
• Experience working with cloud-based data warehouses
• Proven ability to combine and reconcile data across multiple enterprise systems

Nice To Haves

• Experience in a private equity-backed or investor-driven environment
• Experience with FinTech, SaaS, or recurring revenue businesses
• Strong understanding of SaaS-style unit economics and financial performance metrics
• Proficiency in Python for data manipulation and automation
• Familiarity with dimensional modeling and modern ELT frameworks
• Experience integrating ERP (e.g., NetSuite) and CRM (e.g., Salesforce) systems
• Experience supporting M&A data consolidation or system integrations

Responsibilities

• Design, build, and maintain dashboards and self-service reporting solutions using Tableau
• Develop KPI frameworks for recurring revenue and FinTech financial performance metrics
• Create scalable semantic layers and curated datasets for Finance and business stakeholders
• Improve dashboard performance, usability, and adoption across the organization
• Translate business requirements into technical BI solutions that deliver data-driven insights
• Build and maintain robust data models within data warehouses such as Snowflake, Amazon Redshift, or Google BigQuery
• Integrate high-volume datasets from ERP, CRM, billing, and other key operational systems
• Design fact and dimension tables to support subscription, customer lifecycle, and operational investment analytics
• Develop reusable SQL transformations that combine financial, operational, and product metrics across systems
• Own BI reporting for SaaS-style KPIs including ARR, MRR, NRR, churn, LTV/CAC, Rule of 40, gross margin, and EBITDA
• Build automated reporting layers for board-ready and investor-ready financial dashboards
• Support cohort analysis, retention analysis, and customer profitability reporting
• Provide structured datasets to support forecasting and scenario modeling
• Implement data validation checks and reconciliation processes across source systems
• Partner with Data Engineering to improve data pipeline reliability and warehouse performance
• Automate recurring reporting processes using SQL and/or Python
• Document metric definitions and transformation logic to ensure consistency and auditability
• Deliver scalable BI solutions that enable executive leadership and other key stakeholders to monitor value creation initiatives
• Support lender reporting, and M&A integration through rapid dashboard deployment and data consolidation
• Provide analytical insights derived from large, cross-system datasets

Benefits

• Comprehensive health coverage (medical, dental, vision, prescriptions, life & disability)
• Flexible PTO, 11 company holidays, and generous parental & caregiver leave
• An immediately-vested 401(k) plan with company contributions
• Wellness resources and professional development opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed