Talantix.io
Hopper•06.03.26
AI SCORE 8.5

Pricing Analytics Architect - Fintech Foundation (Remote)

$120K–$150K/year
RemoteFinTech
SQL•Python•Looker•Tableau•Snowflake•GCP•Data Modeling•Data Quality

About the Role

We are seeking a talented Pricing Analytics Architect to join our Fintech Foundation team in a remote capacity. In this role, you will leverage your expertise in data analytics and architecture to drive pricing strategies that enhance our financial metrics and overall business performance. As a key member of our team, you will work closely with stakeholders to develop self-service analytics solutions that empower decision-making.

What You'll Do

  • Design and implement data models and analytics frameworks for pricing analysis.
  • Collaborate with cross-functional teams to gather requirements and deliver actionable insights.
  • Utilize tools such as Looker and Tableau to create interactive dashboards and reports.
  • Analyze financial metrics and pricing strategies to optimize revenue streams.
  • Lead initiatives in data quality and governance to ensure accuracy and reliability.

Requirements

  • 5+ years of experience in data analytics or data architecture, with a focus on pricing analytics.
  • Strong proficiency in SQL, Python, and data visualization tools (e.g., Looker, Tableau).
  • Experience with cloud platforms such as GCP and data warehouses like Snowflake.
  • Excellent stakeholder management skills and experience in B2B e-commerce.
  • Ability to work independently in a remote environment while managing multiple projects.

Nice to Have

  • Experience with AI/ML applications in pricing strategies.
  • Familiarity with financial modeling and metrics.
  • Knowledge of full-stack engineering principles.

What We Offer

  • Competitive salary with pre-IPO equity packages.
  • Unlimited PTO and flexible work-from-home stipends.
  • Generous parental leave policies and 100% employer-paid medical, dental, and vision coverage.
  • Access to disability and life insurance, along with a Health Reimbursement Account (HRA).
  • 401k plan access and open communication with management.
  • Join a small, dynamic team where your contributions will have a significant impact.
Why This Job8.5 of 10

This remote Pricing Analytics Architect position offers a competitive salary and equity in a dynamic FinTech environment. You'll have the opportunity to shape pricing strategies and work with cutting-edge analytics tools.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficient in SQL and Python for complex data manipulation and analytics, with a strong understanding of data modeling techniques to optimize pricing strategies.

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Self-motivated and adaptable, thriving in a remote work environment while effectively managing time and project deadlines to deliver high-quality analytics solutions.

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Deep understanding of BI tools like Looker and Tableau, along with experience in Snowflake and GCP, to develop scalable data visualization solutions that enhance decision-making capabilities.

Learning Resources

→SQL for Data Sciencecourse
→Data Modeling in SQLcourse
→Introduction to Google Cloud Platformguide

Career Path

Pricing Analytics Architect - Fintech Foundation(Now)→Lead Data Architect(1-2 years)→Director of Pricing Analytics(3-5 years)

Market Overview

SQL Market Size 2024
$10.2B
Annual Growth
11.5%
AI Adoption in Data Analytics
45%
Investment in Fintech Data Solutions
+75%
Labour Demand for SQL Professionals
+25%
Avg Salary for Pricing Analytics Architect
$150K

Skills & Requirements

Required
SQLPythonLooker
Growing in Demand
Machine LearningData VisualizationCloud Data Warehousing
Declining
Traditional ETL ToolsExcel-based Reporting

Domain Trends

Rise of Automated Pricing Models
Automated pricing strategies using AI and machine learning are expected to grow by 60% in the next two years, emphasizing the need for advanced analytics skills.
Shift to Cloud-based Data Solutions
The migration to cloud-based data platforms like GCP and Snowflake is accelerating, with a projected increase of 50% in adoption rates by 2025.
Integration of Real-time Analytics
Real-time analytics capabilities are becoming essential, with 70% of organizations prioritizing real-time data processing in their analytics strategies.

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