Senior Data Analyst - Reconciliation
Mercury is hiring a Senior Data Analyst - Reconciliation for a remote role open to applicants in United States. Level rates it ; you can apply on Mercury.
Level's read on this job
- On Level's scale, this data analyst role is Little AI ●○○○: aI is not part of the work.
- This is listed as a remote role.
- The posting mentions SQL, Python and data reconciliation among its tools and skills.
- Level classes it as a senior role.
- Mercury has 72 other open roles on Level.
AI in this role
Lead financial data reconciliation initiatives, build data pipelines, and investigate discrepancies across partner banks and internal systems.
Mercury is building a complete finance stack for startups. We work hard to create the easiest and safest banking* experience possible to simplify entrepreneurs' and business owners' financial lives.
Underneath Mercury’s products is a network of banking partners, internal systems, payment rails, and funds flows that enable a powerful, streamlined customer experience. The Financial Data Reconciliation team enables the Mercury system by ensuring end-to-end tracking of transactions across partner banks and internal systems, protecting customer funds through timely, rigorous, and efficient reconciliation. The team owns the full reconciliation lifecycle — from building the data pipelines that transform and enrich transaction data, to matching and investigating exceptions, to reporting on reconciliation health across the business.
*Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.
We’re looking for a Senior Financial Data Reconciliation Analyst who will help operationalize, standardize, and scale reconciliation across Mercury’s banking partners and internal systems. As a senior member of the team, you’ll lead cross-functional initiatives from design through delivery and help other analysts grow. You’ll collaborate with internal and external partners to account for, reconcile, and investigate edge cases in the underlying money movements that power Mercury’s financial products.
You will:
- Own the design and implementation of end-to-end reconciliations for new and existing products and funds flows, setting standards that other analysts can build against
- Develop and maintain data transformations, enrichment logic, and matching rules that support accurate and scalable reconciliation across internal and external systems
- Monitor and investigate reconciliation exceptions, leading root-cause analysis and coordinating with Product, Engineering, Finance, and banking partners to resolve complex breaks and implement durable fixes
- Build monitoring, alerting, and reporting that surface reconciliation risks, trends, and improvement opportunities across the team’s portfolio
- Define reconciliation requirements and technical specifications for new products and funds flows, partnering with Product, Engineering, Data, and Finance early in the design process
- Partner with Accounting to support month-end close and audit readiness by preparing timely reconciliation analyses, summaries, and supporting documentation
- Shape and execute the reconciliation control roadmap, leading cross-functional initiatives and representing the Reconciliation team’s perspective as product coverage and operational complexity grow
- Mentor other analysts through hands-on coaching, helping them strengthen their technical and investigative skills
You have:
- 6+ years of experience working with complex transactional and financial data in fintech or financial services, including areas such as reconciliation, settlement, payment operations, and accounting
- Working knowledge of banking payment rails and card networks, such as ACH, wire transfers, RTP, FedNow, Visa, and Mastercard, with an understanding of transaction flows, clearing, settlement, returns, and exception handling
- Advanced SQL skills and hands-on experience developing and maintaining data transformation pipelines (e.g., dbt or similar)
- Strong analytical skills, with a background investigating and resolving complex financial data discrepancies
- Familiarity with enterprise reconciliation or matching tools (e.g., Blackline) or similar platforms
- Experience building monitoring or BI dashboards to communicate operational and financial metrics using tools such as Omni, Looker, or Tableau
- A track record of leading cross-functional initiatives and driving alignment across technical and non-technical partners
- Experience mentoring or developing other analysts, and a genuine interest in helping others grow
- Experience supporting audits, regulatory reporting, or financial-control testing
Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.
#LI-RA1
Total Rewards
The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits.
Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.
Our target new hire base salary ranges for this role are the following:
US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area:$192,300—$235,100 USDUS employees outside of New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $173,100—$211,600 USDCanadian employees (any location):$181,700—$222,200 CADHow we rate this
Senior Data Analyst - Reconciliation at Mercury rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data analyst jobs at this level
Pay
- Typical data analyst job
- $110k
This posting doesn't list pay. Use the typical data analyst figure when pay comes up. See data analyst jobs
Questions you could be asked
- Tell me about a project where data reconciliation was part of your work. What did you do?
- Tell me about a project where financial analysis was part of your work. What did you do?
- Tell me about a project where data pipelines was part of your work. What did you do?
- Tell me about a project where root cause analysis was part of your work. What did you do?
- Walk me through how you've used SQL in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Reconciliation, Financial Analysis, Data Pipelines, Root Cause Analysis, and SQL. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.
Get new remote data analyst jobs by email
One email a week with the new remote data analyst jobs, each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Data roles that involve little AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step