Analytics Engineer & SQL Guru designing and optimizing data systems for actionable insights in the financial services industry. Blending hands-on SQL expertise with storytelling and business strategies.
Responsibilities
Design and optimize data systems that not only answer business questions — but produce actionable insights no one thought to ask.
Blend hands-on SQL and data modeling with storytelling and decision influence.
Transform raw data into clarity, uncover patterns hidden in plain sight.
Help shape critical business strategies through insight.
Requirements
Master's degree in data and technology management, or equivalent work experience
Ten or more years of experience in data management and business intelligence in the financial services industry
Outstanding data analysis and critical-thinking skills — ability to find the “story in the data”
Analytics & business alignment converts fuzzy questions into precise, production-ready SQL metrics (clear grain/filters/denominators); builds time-series analyses (sessionization, cohorts, funnels, retention) and point-in-time SCD lookups that match business definitions.
Expert-level SQL Craft (Oracle preferred) with proven experience in - complex querying, query tuning and performance optimization
Strong data modeling and data architecture expertise (conceptual, logical, physical models)
Proficiency in Excel (pivot tables, advanced formulas, data validation)
Ability to answer questions that haven’t been asked — proactive insight generation
Excellent communication skills — can translate analytical findings into compelling narratives
Strong organizational and analytical skills
Benefits
Healthcare (medical, dental, vision)
Basic term and optional term life insurance
Short-term and long-term disability
Pregnancy disability and parental leave
401(k) and employer-funded retirement plan
Paid vacation (from two to five weeks depending on salary grade and tenure)
Up to 11 paid holiday opportunities
Adoption assistance
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
Job title
Senior Analytics Engineer, Data Architect – SQL, Data Modeling, Communication Excellence
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