Sr. Data Scientist / Sr. Analytics Engineer

Analyticsengineering; United States; Remote; USD 100,000 - 130,000; Full time

Job summary

A leading estate planning platform is seeking a Senior Data Scientist or Analytics Engineer to join their Analytics team. This role involves coding, data modeling, and providing insights using SQL and Python. Enjoy a flexible remote work environment with competitive salary and benefits.

Benefits

Competitive Salary

Fully Remote Work

Full Medical and Dental Benefits

Unlimited PTO

Paid Parental Leave

Company Equity

401k with Match

Free Estate Planning

Qualifications

• 5+ years of experience with a bachelor's degree or 3+ years with a graduate degree.
• Advanced proficiency with SQL and data visualization tools.

Responsibilities

• Write code in SQL and Python for analyses and ELT pipelines.
• Prepare and analyze data to provide actionable insights.

Skills

SQL

Python

Data Visualization

Communication

Education

Bachelor's Degree in Statistics

Graduate Degree in Data Science

Tools

Tableau

Looker

dbt

Job description

Sr. Data Scientist / Sr. Analytics Engineer

Wealth.com is the industry’s leading estate planning platform, empowering financial advisors to offer modern, comprehensive estate planning solutions to their clients. By combining cutting-edge technology, AI, and unmatched human expertise, we deliver a seamless experience that sets us apart. Beyond having one of the most coveted domain names in FinTech, wealth.com is a dynamic, revenue-generating startup experiencing rapid yet sustainable growth.

A key reason behind our position as the #1 estate planning platform is our team. Our people thrive in a collaborative, supportive culture that fosters innovation and makes wealth.com a place where everyone truly enjoys working. Wealth.com is certified as a Great Place to Work for 2024 and named a 2024 finalist for Fast Company’s Best Workplaces for Innovators!

We are looking to hire an excellent Senior Data Scientist or Senior Analytics Engineer to join our Analytics team. Typical work for the Analytics team includes insights and analysis work, managing and modeling data in our data warehouse, reporting, and data visualization.

Note: This is not a machine learning or predictive modeling role.

Responsibilities:

1. Coding: Write code in SQL and Python, including for ad hoc analyses, basic ELT pipelines, and more.
2. Data modeling: Use dbt to model data in our warehouse; turn raw data into usable data.
3. Analysis and insights: Prepare and analyze data in order to provide clear and actionable insights to the business.
4. Communication: Effectively communicate your work with team leads and cross-functional stakeholders on a regular basis.
5. Data visualization: Use software (e.g., Looker, Python) to create diagrams, graphs, charts, and dashboards to represent trends and predictions.

Bonus Points:

• Experimentation: Design and analyze A/B experiments to evaluate the impact of changes and optimize our risk actions.

Qualifications:

• A bachelor’s degree in statistics, data science, or similar STEM field with 5+ years of experience in a relevant role OR
• A graduate degree in statistics, data science, or similar STEM field with 3+ years of experience in a relevant role.
• Advanced proficiency with SQL and data visualization tools (e.g., Tableau, Looker, etc.).
• Experience with scripting and data analysis using Python.
• Experience with using dbt for data modeling.

Why you'll love working for wealth.com

• Competitive Salary.
• Fully remote, flexible work environment. We do however meet together in person several times a year.
• Full medical and dental benefits.
• Unlimited PTO in an environment where taking time off to relax or recharge is supported and encouraged.
• Paid Parental Leave.
• Company equity managed through Carta.
• 401k with Match and 100% vesting upon hire.
• Free estate planning!

Wealth is an equal opportunity employer and encourages people from all backgrounds to apply. Should you have a disability or special need that requires accommodation, please let us know.

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