Analytics Engineer

Phillips & Cohen Associates Ltd.

2d•$100,000 - $150,000•Remote

About The Position

Founded in 2004, Invenio Financial, formerly PCA Acquisitions V, LLC, is a recognized leader in specialty portfolio management and acquisition. Driven by its commitment to disciplined analytics, strategic decision-making, and value creation, Invenio Financial partners with financial institutions to identify underserved portfolio segments and unlock long-term value. As part of our continued growth, we are seeking talented professionals to support the next phase of our expansion. CAREER OPPORTUNITY. Analytics Engineer This is a hybrid analytics role combining analytics engineering (approximately 75%) with applied analytics and data science (approximately 25%). The role is hands-on and project-based, supporting critical business decisions related to portfolio acquisition and long-term performance forecasting. This is not a pure reporting role and not a purely backend data engineering position. Among other responsibilities, you’ll be involved in:

Requirements

3+ years of experience in analytics engineering, data engineering, data analytics, or similar hands-on analytics roles.
Advanced SQL skills with experience building scalable data transformations and models.
Proficiency in Python and/or R for analytics, automation, and modeling.
Experience designing datasets and understanding how data architecture impacts analytics.
Strong analytical thinking and problem-solving skills.
Ability to work independently in ambiguous, open-ended problem spaces.
Strong communication skills and the ability to present insights to non-technical stakeholders.
Experience with SQL Server jobs, stored procedures, or database automation.
Familiarity with Git or version control systems.
Background in financial services, portfolio analytics, forecasting, or operations analytics.
Exposure to statistical or predictive modeling concepts.

Responsibilities

Building and maintaining scalable data pipelines, transformations, and analytical workflows using SQL, Python and/or R.
Engineering new datasets and data assets when existing systems do not provide required information.
Developing data models to support portfolio valuation, forecasting, and strategic analysis.
Supporting predictive and prescriptive modeling used to forecast collections over time.
Automating end-to-end analytics workflows, including scheduling, orchestration, validation, and reporting.
Performing exploratory data analysis to identify trends, risks, and opportunities within portfolio data.
Translating business questions into reliable, production-ready analytical solutions.
Creating reports and analytical outputs used by senior stakeholders and decision-makers.
Collaborating closely with analytics, engineering, and business partners to align data logic and definitions.