Senior Data Analyst

bees; United States; Remote; USD 90,000 - 160,000; Full time

Benefits offered by this job

Remote work

Bonuses

Pension

Health insurance

Wellbeing support

Education resources

Job summary

bees is seeking an experienced Analytics Engineer to convert complex data into actionable decisions across credit, payments, and product. The role spans business intelligence, advanced analytics, and analytics engineering, delivering reporting assets and models while collaborating with product, commercial, and technology teams.

You will use SQL, Python, Power BI, Azure Databricks, and Spark to build dashboards, semantic models, and self-service analytics, applying forecasting, clustering, and

Qualifications

• Bachelor's degree in statistics, mathematics, computer science, engineering, economics, or a related field.
• Demonstrated experience in analytics, advanced analytics, and business intelligence.
• Advanced SQL and Power BI skills, including DAX, data modeling, dashboard design, and visualization practices.
• Experience with Azure Databricks and Spark technologies, plus proficiency in Python for analysis and analytical development.
• Practical knowledge of statistical analysis, experimentation, hypothesis testing, and data-driven problem solving.
• Familiarity with Git and CI/CD workflows, strong stakeholder communication and data storytelling, and fluent written and spoken English.

Responsibilities

• Build analytical solutions using SQL, Python, Power BI, and cloud data tools, including Azure Databricks.
• Develop and maintain dashboards, KPI definitions, semantic models, and self-service analytics resources.
• Apply statistical and machine learning methods such as forecasting, classification, clustering, anomaly detection, and regression to business problems.
• Conduct exploratory analysis and ad hoc studies, and support experimentation and hypothesis testing.
• Work with cross-functional stakeholders to frame questions, validate findings, and inform decisions.
• Maintain data quality, governance, and reliability, using version control, testing, and CI/CD practices; communicate results through clear visualizations and presentations.

Skills

Advanced SQL

Power BI

Data storytelling

Stakeholder communication

Fluent English

Education

Bachelor's degree in statistics, mathematics, computer science, engineering, economics, or related field

Tools

Azure Databricks

Spark

Python

Git

CI/CD

Job description

Role overview

Turn complex data into useful decisions for teams working across credit, payments, and product. This role spans business intelligence, advanced analytics, and analytics engineering: you'll build reporting assets and analytical models, investigate business questions, and help stakeholders test ideas. The position is remote and involves close collaboration with product, commercial, and technology colleagues.

Responsibilities

• Build analytical solutions using SQL, Python, Power BI, and cloud data tools, including Azure Databricks.
• Develop and maintain dashboards, KPI definitions, semantic models, and self-service analytics resources.
• Apply statistical and machine learning methods such as forecasting, classification, clustering, anomaly detection, and regression to business problems.
• Conduct exploratory analysis and ad hoc studies, and support experimentation and hypothesis testing.
• Work with cross-functional stakeholders to frame questions, validate findings, and inform decisions.
• Maintain data quality, governance, and reliability, using version control, testing, and CI/CD practices; communicate results through clear visualizations and presentations.

Requirements

• Bachelor's degree in statistics, mathematics, computer science, engineering, economics, or a related field.
• Demonstrated experience in analytics, advanced analytics, and business intelligence.
• Advanced SQL and strong Power BI skills, including DAX, data modeling, dashboard design, and visualization practices.
• Experience with Azure Databricks and Spark technologies, plus proficiency in Python for analysis and analytical development.
• Practical knowledge of statistical analysis, experimentation, hypothesis testing, and data-driven problem solving.
• Familiarity with Git and CI/CD workflows, strong stakeholder communication and data storytelling, and fluent written and spoken English.

Nice to have

Experience in fintech, credit, payments, e-commerce, or digital products is beneficial. Use of AI tools to speed up analytics work is also an advantage; Spanish is a plus.

Benefits and work setup

Remote work.

Listed benefits include performance and attendance bonuses subject to applicable rules, pension, meal and transport allowances, health, dental and life insurance, wellbeing and childcare support, training resources, and additional discounts and education support.