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.
Advantage Investigations is seeking a Full Time Data Analyst to work remotely from anywhere in the United States to turn case, client, and financial data into reporting for operations leaders, executives, and clients.
Compensation
This position is salaried and exempt, at an annual rate commensurate with experience, within $65,000 to $90,000.
Responsibilities
Building and maintaining operational and executive reporting in Power BI, including case volume, KPIs, investigator utilization, margin by line of business, and service quality
Producing monthly, quarterly, and annually reporting packages for clients
Completing ad-hoc analysis requests from operations, sales, and leadership
Writing SQL queries against our data platform to answer business questions and investigate discrepancies
Maintaining recurring Excel reporting and updating weekly reporting deliverables
Requirements
Masters in Computer Science or related field preferred
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