AI-Driven Data Analyst: Analytics Products

Howden; Chicago (IL); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Flexible PTO and parental leave

Job summary

Howden is building its US retail data analytics platform and seeks entrepreneurial Data Analysts to redefine what it means to be a data-driven insurance broker. You will serve as a strategic partner to business leaders, creating data models, semantic definitions, and consumption interfaces that drive commercial outcomes.

You will own the domain roadmap, collaborate across analytics engineering, BI development, and governance, and build forecasting, segmentation, and scenario tools that support

Qualifications

• Bachelor’s degree or higher in a quantitative field.
• 3+ years in data analysis or analytics product development.
• Experience translating business needs into dashboards or metrics.
• Proficiency with SQL and Power BI or similar dashboards.

Responsibilities

• Partner with business leaders to translate questions into data products.
• Prototype, validate, release, and measure adoption of analytics solutions.
• Build data models, definitions, and consumption interfaces for dashboards.
• Use AI features to accelerate analysis and prototyping.
• Collaborate with engineering and governance to deliver end-to-end data products.
• Profile and validate data against source systems and quality rules.
• Maintain analytics lifecycle from conception to adoption.

Skills

BI visualization

SQL proficiency

Analytics product mindset

Communication with leadership

Education

Bachelor’s degree in Analytics, Data Science, Information Systems, Business, Finance, Economics, Statistics, or related field

Tools

Power BI

Databricks

Python

AI-enabled analytics tools

Job description

Howden is building its US retail data analytics platform and seeks entrepreneurial Data Analysts to redefine what it means to be a data-driven insurance broker. You will serve as a strategic partner to business leaders, creating data models, semantic definitions, and consumption interfaces that drive commercial outcomes.

You will own the domain roadmap, collaborate across analytics engineering, BI development, and governance, and build forecasting, segmentation, and scenario tools that support