Data Analyst

Burtch Works; United States; Remote; USD 80,000 - 120,000; Full time

Job summary

A fast-growing analytics firm seeks a Data Analyst specializing in Marketing and Operations Analytics. You will support major clients in financial services, focusing on marketing attribution, dashboard development, and customer insights. Ideal candidates are strategic thinkers with a robust analytical background and 3-6 years of experience.

Benefits

Comprehensive medical, dental, and vision coverage

Generous PTO policy

Remote work flexibility

Access to training programs

Team events and collaboration opportunities

Qualifications

• 3-6 years in data analytics, preferably in marketing or financial services.
• Strong SQL and Python skills required.
• Familiarity with marketing analytics methodologies like STA, MTA, and MMM.

Responsibilities

• Develop attribution models and support marketing mix modeling.
• Analyze customer journey to personalize marketing content and campaigns.
• Design and maintain executive-ready dashboards.

Skills

SQL

Python

Dashboarding

Marketing Attribution

Data Storytelling

Education

Bachelor's degree in Data Science, Statistics, Marketing Analytics, or related field

Tools

Tableau

Job description

Join to apply for the Data Analyst role at Burtch Works

Join to apply for the Data Analyst role at Burtch Works

Get AI-powered advice on this job and more exclusive features.

This range is provided by Burtch Works. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$80,000.00/yr - $120,000.00/yr

Job Title: Data Analyst – Marketing & Operations Analytics

Location: US Remote

About The Company

A fast-growing analytics and digital transformation firm supporting major clients in the financial services industry. We are committed to delivering intuitive, automated, and insight-driven solutions that empower clients to make data-backed decisions. Our culture fosters innovation, collaboration, and professional growth while maintaining a strong commitment to quality and client success.

Job Summary

We are looking for a strategic Data Analyst – Marketing & Operations Analytics to join our Financial Services Analytics team in a fully remote role. The ideal candidate is a strategic thinker with a strong analytical foundation and 3–6 years of experience, particularly in marketing and operations analytics within financial services. This role will support high-impact initiatives for a leading U.S. bank, focusing on marketing attribution, personalization, dashboard development, and cross-domain analytics.

Key Responsibilities

• Marketing Analytics & Optimization:
• Develop single and multi-touch attribution models, support Marketing Mix Modeling (MMM), and perform ROI simulations to optimize campaign spend and performance.
• Customer & Campaign Personalization:
• Analyze customer journey and behavioral data to segment audiences and support creation of personalized marketing content, channels, and offers.
• Dashboard Development:
• Partner with cross-functional teams (credit risk, marketing, finance, collections) to design and maintain executive-ready dashboards that translate raw data into actionable insights.
• Data Requirements & Governance:
• Identify and resolve data gaps, document data requirements and lineage, and collaborate with engineering teams to ensure scalable and secure data integration.
• Cross-Domain Analytics Support:
• Drive additional analytics use cases in operations and customer experience. Analyze web logs and service tickets, support A/B testing, and provide insights for Gen-AI-driven automation initiatives.
  
  

Requirements

• Education: Bachelor's degree in Data Science, Statistics, Marketing Analytics, or related field; or equivalent experience.
• Experience: 3–6 years in data analytics, preferably in marketing analytics or financial services.
• Skills:
• Strong SQL and Python skills (SAS a plus)
• Experience with dashboarding tools like Tableau
• Familiarity with STA, MTA, and MMM methodologies
• Strong understanding of segmentation and personalization strategies
• Excellent communication skills and ability to work in matrixed environments
• Other: Must be authorized to work in the United States. Remote work eligible.
  

Preferred Qualifications

• Prior experience in personal loans, consumer lending, or card-based financial products
• Experience in consulting environments
• Exposure to Gen-AI analytics and automation use cases
• Demonstrated ability to deliver actionable insights through data storytelling
  
  

Benefits

• Competitive Salary
• Health and Wellness: Comprehensive medical, dental, and vision coverage; wellness incentives
• Work-Life Balance: Generous PTO policy, remote work flexibility
• Professional Development: Access to training programs and upskilling opportunities
• Additional Perks: Team events, cross-functional collaboration, and innovation-driven culture

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

Referrals increase your chances of interviewing at Burtch Works by 2x

Sign in to set job alerts for “Data Analyst” roles.

United States $121,800 - $220,300 3 days ago

United States $88,000 - $144,000 1 week ago

United States $130,000 - $150,000 2 weeks ago

Reston, VA
$130,000.00
-
$160,000.00
4 days ago

New York, NY
$70,000.00
-
$80,000.00
2 weeks ago

United States
$103,000.00
-
$135,000.00
2 weeks ago

United States
$75,000.00
-
$100,000.00
1 week ago

United States
$81,000.00
-
$102,000.00
1 week ago

San Francisco, CA
$120,000.00
-
$140,000.00
4 days ago

San Mateo, CA
$115,000.00
-
$135,000.00
1 day ago

Pittsburgh, PA
$69,564.00
-
$115,940.00
6 days ago

United States $116,800 - $146,000 1 week ago

United States $86,000 - $120,000 1 week ago

United States $80,000 - $100,000 3 days ago

California, United States $29 - $34 3 hours ago

United States $95,000 - $130,000 4 days ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.