Data Analyst responsible for extracting, cleaning, and analyzing large datasets to provide actionable insights for product, engineering, business, and finance teams within a fintech environment.
Responsibilities
Extract, analyse and interpret data to answer product and business-related questions.
Work closely with Product Managers to evaluate product performance and identify improvement opportunities.
Analyse user behaviour, funnels, cohorts and key business metrics.
Build and maintain dashboards and reports to track important metrics.
Identify trends, patterns and anomalies and proactively highlight areas that need attention.
Requirements
Bachelor's degree in Engineering, Economics, Statistics, Mathematics or another quantitative field
We're looking for a Senior Business Intelligence Analyst to turn our data into trusted insights that support all areas of the business.
Compensation
Base salary range: $120,000 – $160,000 annually, depending on qualifications and experience
Responsibilities
Partner with the business
Consult with stakeholders to clarify what they need, define how success will be measured, and turn requirements into clear reporting and analysis plans.
Train and support end users so they can explore data on their own with confidence.
Spot opportunities to improve efficiency through analysis, and recommend new reporting solutions when you see a gap.
Develop and maintain dbt models that turn raw data into clean, tested, well-documented datasets.
Requirements
Bachelor's degree in Math, Biostatistics, Engineering, or another data intensive field; Master’s preferred
Senior Technical Business Analyst supporting Medicaid claims and healthcare data solutions, developing advanced SQL, documenting specifications, and ensuring data quality and audit processes.
Compensation
The pay range for this position is $69,400.00 - $99,200.00 per year
Responsibilities
Design, develop, test, document, and maintain advanced SQL queries and stored procedures
Create technical specifications for custom stored procedures
Translate technical specifications into production-ready SQL code
Develop reusable SQL toolkits
Optimize SQL solutions for performance and scalability
Requirements
Relevant postsecondary education in Computer Science, Information Systems, Data Analytics, Health Informatics, Business Administration, or a related discipline
Implementation Consultant responsible for building and maintaining data pipelines, supporting retail clients, and ensuring near real‑time actionable insights.
Compensation
The base salary range for this role is $90k - $110k per year.
Responsibilities
Manage retail data from enterprise clients, shaping it in SQL into something usable: cleaning, joins, restructuring and layering on predefined and bespoke logic.
Monitor live customers for data failures and use case up‑time, investigating issues in SQL and fixing or escalating them.
Manage support requests across customers and escalate to the appropriate channels.
Work with customer teams and senior Implementation colleagues to understand client operations and build data‑led use cases.
Configure Quorso’s application to highlight store performance, flag improvement opportunities and measure results.
The Sr. Analyst, Data leads complex analytical initiatives and designs reliable data solutions that support analytics, reporting, and operational decision-making across the organization.
Lead complex, cross-functional, analytical projects from business problem definition through data analysis, validation, stakeholder communication, and final delivery.
Translate ambiguous business questions into analytical plans, reusable reporting logic, scalable datasets, and actionable recommendations.
Design, maintain, and optimize SQL-based analytical solutions, data models, views, stored procedures, and recurring reporting workflows supporting operational and strategic needs.
Write and review advanced SQL using SSMS, including complex joins, CTEs, window functions, temporary tables, stored procedures, performance-aware query design, and robust validation logic.
Analyze pharmacy claims, member, client, drug, formulary, rebate, network, provider, clinical, operational and financial datasets to identify risks, opportunities, trends, and decision points.
Requirements
Bachelor’s degree in a quantitative, business, healthcare, information systems, economics, statistics, mathematics, computer science, or related field, or equivalent work experience
Nice to have: Mentoring analysts
Nice to have: Reviewing analytical code
Nice to have: Improving reporting or data processes
Nice to have: Experience with healthcare or pharmacy benefit management data
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