ZipRecruiter

Log In

2

Remote Data Analyst Fintech Jobs in Baltimore, MD

Under Armour

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high ... Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross ...

CareFirst

Technical Analyst (Remote)

Baltimore, MD · Remote

Delivers standard system and data analysis and helps with tools and technology implementations for Payment Integrity- clinical editing. Facilitate and coordinate building, document, and review of ...

Magpie Health Analytics

Data Engineer (Remote)

Baltimore, MD · Remote

$117K - $140K/yr

Collaborate with DevOps, analysts, and application developers to align pipelines with system architecture, storage strategy, and reporting needs. * Implement data quality and validation checks and ...

Polar IT Services

Data Modeler

Baltimore, MD · On-site +1

$54.50 - $70.50/hr

Hello Folks, Please find the below requirement and let me know your interest? 100% Remote W2 Role ... analytics systems. * Experience implementing and maintaining data modeling standards, best ...

next page

Showing results 1-20

All JobsData Analyst Fintech JobsRemote Data Analyst Fintech JobsRemote Data Analyst Fintech Jobs in Baltimore, MD

Remote Data Analyst Fintech information

See Baltimore, MD salary details

$33.8K

$82.1K

$135.1K

How much do remote data analyst fintech jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote data analyst fintech in Baltimore, MD is $82,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote data analyst in fintech?

To thrive as a Remote Data Analyst in Fintech, you need strong analytical abilities, proficiency in statistics, and a background in finance, typically supported by a relevant degree. Expertise in technical tools such as SQL, Python, data visualization platforms (e.g., Tableau), and experience with financial modeling or risk analysis systems are often required. Strong problem-solving skills, attention to detail, and effective remote communication make candidates stand out in this role. These skills are crucial for delivering accurate data-driven insights that support financial decision-making and regulatory compliance in a fast-evolving industry.

How does a remote data analyst in fintech typically collaborate with cross-functional teams?

As a Remote Data Analyst in fintech, you will regularly collaborate with product managers, engineers, and business analysts through virtual meetings and digital project management tools. Clear communication is essential, as you'll often translate complex data findings into actionable insights for non-technical stakeholders. Collaboration usually involves participating in sprint meetings, sharing dashboards, and providing real-time data support to optimize product features or enhance risk assessment processes. Building strong remote working relationships is key to ensuring alignment and timely delivery of analytics solutions.

What is the difference between Remote Data Analyst Fintech vs Remote Data Analyst Banking?

AspectRemote Data Analyst FintechRemote Data Analyst Banking
CredentialsBachelor's in Data Science, Finance, or related fields; certifications like CFA or Microsoft Data certificationsBachelor's in Finance, Economics, or Data Science; similar certifications often preferred
Work EnvironmentStartups, tech companies, online platforms in financial technologyTraditional banks, financial institutions, online banking services
Industry UsageUsed in innovative financial apps, digital payment platforms, and online lendingApplied in retail banking, investment banking, and financial services

The main difference between a Remote Data Analyst Fintech and a Remote Data Analyst Banking lies in their industry focus. Fintech analysts work primarily with innovative financial technology companies, while banking analysts are employed within traditional banking institutions. Both roles require similar skills and certifications but differ in work environment and industry applications.

What does a remote data analyst in fintech do?

A Remote Data Analyst in Fintech is responsible for collecting, processing, and analyzing financial data to help companies make informed business decisions. They work with large datasets, identify trends, and generate actionable insights to improve financial products or services. This role often requires proficiency in data analysis tools, strong statistical skills, and an understanding of financial markets or payment systems. As the position is remote, communication and collaboration are typically conducted online using digital tools.
What are popular job titles related to Remote Data Analyst Fintech jobs in Baltimore, MD? For Remote Data Analyst Fintech jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst Fintech jobs in Baltimore, MD look for? The top searched job categories for Remote Data Analyst Fintech jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Remote Data Analyst Fintech jobs? Cities near Baltimore, MD with the most Remote Data Analyst Fintech job openings:
Remote Data Analyst Fintech jobs near you

Commercial Data Analyst

USALCO

Baltimore, MD • Remote

Full-time

Posted 22 days ago

USALCO rating

7.9

Company rating: 7.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

41st of 100 rated chemical manufacturers

Job description

Usalco is the essential catalyst for clean water — and our commercial team is on the front lines of that mission every day. As our Commercial Data Analyst, you will serve as the connective tissue between our ERP system, Salesforce CRM, and the commercial decisions that drive our business forward. The Commercial Data Analyst generates insights and reports for sales and account management teams to make confident decisions.

Key Responsibilities

Reporting & Data Operations

  • Own the commercial reporting layer — pipeline, win/loss trends, customer service metrics, revenue by customer, segment, region, and product
  • Reconcile self-reported new and lost business entries in Salesforce against ERP actuals to improve data integrity and accuracy
  • Build and maintain dashboards in Salesforce and/or Power BI that support daily decision-making for the commercial team
  • Define and audit commercial KPIs; assess customer segmentation to identify and target high-value accounts
  • Maintain customer master data segmentation fields and work with sales to update gaps.
  • Identify root causes of master data quality gaps across the ERP and Salesforce, and work with IT and operations to resolve them
  • Deliver regular commercial performance summaries to commercial leadership with clear, actionable takeaways

Commercial Strategy & Initiative Support

  • Partner with commercial teams to support and track execution of key commercial initiatives — not just own reporting, but drive accountability and visibility into progress
  • Partner with commercial operations on bid optimization and margin defense; support bids and contract reviews by the Senior Leadership Team under existing Delegation of Authority
  • Support pricing analysis, territory performance reviews, and customer growth and churn reporting

Intelligence & Advanced Analytics

  • Leverage best-in-class AI tools to surface deeper commercial insights and accelerate analysis — including predictive modeling and anomaly detection
  • Build a predictive analytics and early warning operating system that enables the commercial team to act on leading indicators, not just lagging results
  • Track and analyze market intelligence and key industry trends at a regional and local level to inform commercial strategy and competitive positioning

Qualifications

Required

  • 4 – 6 years of experience in a commercial, sales operations, or business analyst role
  • Hands-on Salesforce experience — reports, dashboards, and data hygiene — is a must
  • Advanced Excel proficiency; Power Query experience preferred
  • Demonstrated ability to identify and flag data quality issues before they surface in reporting
  • Strong communication skills — able to translate data findings into plain-language business insights

Preferred

  • Experience in specialty chemicals, water treatment, distribution, or industrial manufacturing
  • Proficiency in SQL or Power BI
  • Familiarity with ERP systems and ERP-to-CRM data flows
  • Salesforce Administrator certification or equivalent experience

Performance Expectations

In the first 90 days, you will have mapped the current state of commercial reporting, identified the top five data quality gaps, and delivered at least one new dashboard that the commercial team uses daily. Within six months, the commercial team will spend meaningfully less time on self-built analysis and more time acting on insights.

USALCO is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. As a general policy, USALCO does not offer employment visa sponsorships upon hire or in the future.

#LI-Remote

What USALCO employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom