Senior Data Analyst

Company Description

About the Opportunity

We are seeking an experienced, hands-on Senior Data Analyst to help drive data-informed decision-making across our Consumer business. This role will partner closely with teams across Acquisition, Retention, Customer Care, Product, and PR to develop analytics solutions, improve data accessibility, and identify opportunities to optimize business performance.

The ideal candidate combines strong technical skills in Python and SQL with business acumen and the ability to translate complex data into actionable insights. You'll work with a variety of data sources, automation tools, and third-party integrations to build scalable reporting solutions, measure performance, and support marketing and product initiatives.

You'll also contribute to the development and enhancement of our industry-leading data resource providing insights into what Americans pay for their monthly household bills.

This is a highly collaborative, hands-on role offering the opportunity to make a meaningful impact across multiple areas of the business.

Job Description

KEY RESPONSIBILITIES

Data Analytics & Business Insights

• Partner with cross-functional teams to understand business needs, identify opportunities, and deliver actionable data insights.

• Develop and maintain dashboards, reports, and analytical tools to monitor key business and marketing performance metrics.

• Collaborate with Product teams to define KPIs and measure the effectiveness of new features, product releases, UX improvements, and A/B tests.

• Analyze customer behavior, acquisition, retention, and engagement trends to identify opportunities for growth and optimization.

• Support data-driven decision-making by making analytics and reporting more accessible to business stakeholders.

Data Integration & Automation

• Develop, maintain, and improve data pipelines, ETL processes, and integrations with third-party APIs.

• Work with Python- and SQL-based tools to support marketing automation, reporting, and data processing.

• Support data integrations with email marketing, paid advertising, and customer care platforms.

• Troubleshoot data quality issues and improve the reliability, accuracy, and efficiency of existing data processes.

• Identify opportunities to streamline workflows and automate recurring analytical tasks.

Marketing & Product Analytics

• Conduct analyses related to customer lifetime value (LTV), customer segmentation, campaign effectiveness, and conversion optimization.

• Support the design, execution, and evaluation of A/B tests and other experiments.

• Work with marketing stakeholders to measure campaign performance and identify opportunities to improve acquisition and retention.

• Contribute to the development, analysis, and ongoing improvement of doxoINSIGHTS data products and reporting.

Qualifications

QUALIFICATIONS

Required

• 5+ years of experience in data analytics, business intelligence, marketing analytics, or a related analytical role.

• Strong proficiency in SQL and Python, including experience working with complex datasets and automating data processes.

• Experience developing dashboards, reporting solutions, and data visualizations that support business decision-making.

• Working knowledge of ETL processes, data pipelines, and data integration concepts.

• Experience working with third-party APIs to retrieve, transform, or transmit data.

• Understanding of marketing and product analytics concepts, including customer segmentation, LTV, conversion funnels, and A/B testing.

• Strong analytical and problem-solving skills with the ability to translate data into clear, actionable recommendations.

• Excellent communication skills and the ability to collaborate with both technical and nontechnical stakeholders.

• Ability to independently manage analytical projects and prioritize competing business needs.

Preferred

• Experience with marketing automation platforms, paid advertising data, or customer engagement tools.

• Familiarity with statistical analysis, experimentation, and predictive modeling.

• Experience working in a consumer technology, SaaS, fintech, or other data-driven business.

• Experience with cloud-based data platforms and modern business intelligence tools.

• Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, or a related field, or equivalent practical experience.

Additional Information

COMPENSATION

Base Salary: $120,000-$140,000 annually

At our client company, you'll have the opportunity to work with meaningful consumer and financial data, collaborate with teams across the business, and build analytical solutions that directly influence product and marketing decisions. This role offers a strong combination of technical challenges, business exposure, and individual ownership within a growing, data-driven organization.

All your information will be kept confidential according to EEO guidelines.

Our client is proud to be an equal opportunity employer. They celebrate diversity and are dedicated to creating an inclusive environment for all employees.