Financial Data Analytics Engineer, FISPAN
$90 to $100 per hour
ERP banking platform
Open for applications
ERP banking platform
101-200 employees
Open for applications
$90 to $100 per hour
101-200 employees
Company mission
FISPAN's mission is to help banks easily connect with their corporate clients.
Role
Who you are
- You are a Data Analyst first, but you speak the language of Finance
- You know how to write complex SQL queries to manipulate large datasets, but you also understand how those datasets must aggregate to balance a Balance Sheet or calculate SaaS ARR
- You are comfortable debugging a data discrepancy in the morning and presenting a variance analysis to leadership in the afternoon
- Advanced SQL (Required): You can write complex queries, joins, and window functions from scratch
- BI & Data Visualization: Expert-level proficiency in any modern BI platform (e.g., Tableau, Looker, Power BI, or Sigma Computing). Prior experience with Sigma is not required, but you must be comfortable learning new tools quickly
- Python (Preferred): Proficiency in Python (specifically pandas) for data manipulation and analysis is highly desirable
- Data Warehousing: Experience working with cloud data warehouses (Redshift, Snowflake, BigQuery)
- Accounting Fluency: Deep understanding of ASPE, the relationship between the three financial statements, and revenue recognition principles
- FP&A Experience: 3+ years experience in a role involving financial forecasting, budgeting, or variance analysis
- SaaS Metrics: Familiarity with tracking and modeling ARR, NRR, CAC, and LTV
- Familiarity with modern ERPs and Accounting Systems (API-level understanding is a plus)
What the job involves
- We are looking for a Financial Data Analytics Engineer to join our team for a 4-month contract to cover a Paternity Leave
- This is a unique hybrid role designed for a Data Analyst who possesses a deep understanding of accounting principles and corporate finance
- You will act as the technical owner of our automated financial intelligence infrastructure
- Unlike traditional finance roles that rely on spreadsheets, you will manage, troubleshoot, and optimize data pipelines that feed our live 3-statement models and revenue forecasts in Sigma Computing and Redshift
- Model Stewardship: Maintain and optimize complex data models in Sigma Computing that power our Income Statement, Balance Sheet, and Cash Flow Statement
- Pipeline Management: Monitor data flows between our ERP/Accounting Systems and our data warehouse (Redshift). Troubleshoot ingestion errors and ensure source-to-report accuracy using SQL
- Governance: Manage row-level security and access controls to ensure stakeholders view only the data relevant to their role
- Reporting Cadence: Execute the monthly financial close process using our automated tools. Deliver accurate Budget vs. Actuals (BvA) packets and operational dashboards to department heads
- Investor & Compliance Reporting: Generate high-fidelity monthly investor reports and quarterly board materials, ensuring all automated logic aligns with current compliance standards
- Revenue Analytics: Manage granular revenue recognition models, tracking implementation progress and recurring revenue cohorts
- Forecasting: Maintain the integrated corporate forecast model, inputting actuals and updating assumptions to project rolling cash flow and margins
- Ad-Hoc Intelligence: Support the Executive Team with data-driven strategic insights, utilizing your ability to query raw data to answer questions about unit economics, pricing models, and retention
Our take
Small/medium-sized businesses (SMBs) have come under heightened operational pressure over recent years. It’s no help that this group has historically been radically underserved by legacy banks, but now the tide is turning: many banking institutions are doubling down on improving the quality and efficiency of their commercial banking solutions, and software company FISPAN is helping them get there.
FISPAN helps companies embed their commercial banking services into the existing ERP or accounting software used by their customers to run businesses. It’s a great way for banks to outsource the level of innovation required to keep up with commercial client demand - and, therefore, a great way of competing with the more agile neobanks, who are siphoning off legacy banking clients in substantial numbers.
FISPAN’s astute positioning has made its platform increasingly attractive for banks under pressure to keep up with the breakneck pace of change in fintech. It’s taking advantage of it too, with plans to expand to the lucrative European and Asian Pacific banking markets, and accelerated product development fuelled by 2025's Series B round of funding.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-31% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Jun 2025
$30m
SERIES B
Sep 2023
$2m
SERIES A
Total funding: $70m
Company benefits
- 4-Week Vacation
- Health & Wellness Coverage
- 100% Parental Leave Top-Up
- Downtown Vancouver Offices & Amenities including fitness centre
- Daily Coffee Runs & Weekly Team Lunches
- MacBook / Apple equipment
Company HQ
Coal Harbour, Vancouver, BC
Leadership
Clayton Weir
(Co-Founder)Previously worked as a Senior Analyst and then Head of Growth at BC Tech. Underwent a Teaching Team entrepreneurship with the University of British Columbia, and spent over 5 years on the board of car-sharing co-operative Modo.
Lisa Shields
(Founder & CEO)Held senior software engineering roles at MacDonald Dettwiler and Environmental Criminology Research Inc., before moving on to found and serve as CEO/Director of gig economy global payments company Hyperwallet. They are a committee member for FinPay Canada, and on the Board of Directors for Thinkific.
Valery Novikov
(Co-Founder & CTO)Held a number of senior software roles at Netcracker Technology, before moving on to found NV Trading. Alongside work at FISPAN, they work as an Instructor at UBC Sauder School of Business.
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