Senior Data Analyst
Coalition, Inc. · United States
- Hybrid
- Full-time
- $153,000 / year
- United States
Tailored resume — keyword-matched to this role.
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Job highlights
- Lead analytics for GTM and servicing motions.
- Build Customer 360 view by connecting data.
- Partner with teams to optimize funnels.
- Develop data models and dashboards.
- Provide data-driven recommendations for growth.
About the role
About Us
Coalition is the world's first Active Insurance provider designed to help prevent digital risk before it strikes. Founded in 2017, Coalition combines comprehensive insurance coverage and innovative cybersecurity tools to help businesses manage and mitigate potential cyberattacks.
Opportunities to make an impact with bold thinking are real—and happening daily at Coalition.
About The Role
We are hiring a Senior Data Analyst to lead analytics for our GTM and servicing motions, with a core focus on building out our "Customer 360" view. You will connect data across marketing, sales, product, and servicing to show how brokers and customers move through the lifecycle and where we can better acquire, onboard, support, and retain them.
You’ll partner with Marketing, Sales, Customer Success, and Product to measure campaign impact, optimize funnels, and identify opportunities to improve experience and LTV. By building robust data models, dashboards, and journey analytics, you will give leaders a single source of truth for GTM and servicing performance and help them prioritize the next best actions for growth and retention.
Responsibilities
- Focus on our "Customer 360" platform and marketing impact analysis, building a unified view of customers and brokers across marketing, sales, and servicing touchpoints.
- Lead and execute cross-functional analytics projects using advanced SQL and data modeling to uncover actionable business insights and identify optimization opportunities across the GTM and servicing funnels.
- Develop clear, data-driven recommendations to improve operational efficiency, drive revenue and retention, influence product and marketing leadership, and support company objectives (including OKR tracking).
- Analyze and map the end-to-end customer and broker journey (from first touch through renewal/expansion) to understand and measure key touchpoints, helping identify gaps and propose data-informed solutions.
- Design and deliver robust data models, reporting solutions, automated dashboards, and performance metrics that support GTM strategy, customer success, and lifecycle marketing decisions.
- Integrate, clean, and synthesize data from multiple sources (marketing platforms, CRM, product usage, servicing systems, billing, external data) to build comprehensive narratives and actionable business stories.
- Serve as an SQL subject matter expert, mentoring junior team members and promoting best practices in query design, data modeling, and documentation.
- Contribute to a culture of data excellence by exemplifying quality, empathy for stakeholders, and continuous improvement in all analytics processes.
Skills And Qualifications
- Bachelor’s degree in Statistics, Economics, Mathematics, Computer Science, or a related field (or equivalent practical experience).
- 5+ years of professional experience in data analysis, business analytics, or a related analytical role, with demonstrated impact on marketing, GTM, or customer experience outcomes.
- 4+ years of domain experience in the insurance industry, ideally supporting distribution, marketing, partnerships, or customer servicing.
- Proven expertise in SQL, including complex query design, data modeling, performance optimization, and thorough code documentation.
- Knowledge of programming skills in Python, R, or a similar language for analytical workflows and reproducible analysis.
- Solid knowledge of analytical and statistical techniques: hypothesis testing, experiment design, data interpretation, and development of actionable recommendations.
- Demonstrated experience working with BI / visualization tools like Looker, Tableau, or similar, including building dashboards used by leadership.
- Strong communication skills, with the ability to present technical findings clearly to non-technical business and GTM audiences.
- Track record of effective collaboration across product, marketing, sales, customer success, operations, and cross-functional teams.
- Ability to context switch seamlessly between multiple areas of the business, prioritizing diverse requests and adapting to varied stakeholder needs.
- Passion, drive, and a deep sense of responsibility. We build the analytical systems that help us understand, serve, and retain our customers and brokers.
Bonus Points
- Experience in insurance underwriting, insurtech, or fintech sectors.
- Familiarity with operational / business tools, such as Amplitude, Google Analytics, Marketo, Salesforce, Segment, or Zuora.
- Exposure to ETL and analytics workflow tools (e.g., dbt, Airflow).
- Experience using Cursor or other GenAI-assisted IDEs for coding and analysis productivity.
- Understanding of advanced topics like causal inference or other advanced statistical methods, especially for measuring marketing and servicing impact.
Key skills/competency
- Data Analysis
- SQL
- Data Modeling
- Business Intelligence
- Python/R
- Statistical Techniques
- Customer Journey Mapping
- Cross-functional Collaboration
- GTM Strategy
- Insurance Industry
Skills & topics
- Senior Data Analyst
- Data Analysis
- SQL
- Data Modeling
- Business Intelligence
- GTM Analytics
- Customer 360
- Insurance
- Python
- R
- Looker
- Tableau
- Marketing Analytics
- Customer Success Analytics
How to get hired
- Tailor your resume: Highlight SQL expertise, data modeling, and insurance industry experience. Emphasize impact on marketing and customer experience.
- Showcase technical skills: Detail experience with Python/R, BI tools (Looker/Tableau), and statistical techniques in your application.
- Quantify achievements: Provide metrics demonstrating your ability to drive revenue, retention, and operational efficiency.
- Prepare for interviews: Be ready to discuss complex SQL queries, data modeling approaches, and cross-functional collaboration scenarios.
- Research Coalition: Understand their Active Insurance model and commitment to data-driven decision-making.
Technical preparation
Master advanced SQL for complex queries.,Practice data modeling and optimization techniques.,Build sample dashboards in Looker/Tableau.,Prepare Python/R code for analysis.
Behavioral questions
Describe a complex data problem you solved.,How do you influence non-technical stakeholders?,Tell me about collaborating with cross-functional teams.,How do you prioritize multiple analytical requests?
Frequently asked questions
- What is the primary focus for the Senior Data Analyst role at Coalition?
- The Senior Data Analyst at Coalition will primarily focus on leading analytics for Go-To-Market (GTM) and servicing motions, with a core objective of building out a comprehensive "Customer 360" view. This involves integrating data from various sources to understand the customer lifecycle and inform strategies for acquisition, onboarding, support, and retention.
- What technical skills are most crucial for this Senior Data Analyst position?
- Strong expertise in SQL for complex query design and data modeling is essential. Proficiency in Python or R for analytical workflows, along with experience in BI/visualization tools like Looker or Tableau, are also critical. A solid understanding of statistical techniques is highly valued.
- What domain experience is preferred for this Senior Data Analyst role at Coalition?
- Coalition prefers candidates with at least 4 years of domain experience in the insurance industry. Experience supporting distribution, marketing, partnerships, or customer servicing within the insurance sector is particularly beneficial.
- How does Coalition approach compensation for the Senior Data Analyst role?
- Coalition's compensation for this role is based on US geographic markets, with a salary range of $114,200 to $153,000 annually. The specific salary within this range depends on factors like location, relevant experience, skills, and qualifications. Your recruiter will discuss target salary for your location.
- What are the key responsibilities of a Senior Data Analyst at Coalition?
- Key responsibilities include developing the 'Customer 360' platform, leading analytics projects with SQL and data modeling, providing data-driven recommendations, analyzing customer journeys, designing data models and dashboards, integrating data from multiple sources, and mentoring junior team members.
- What is Coalition's work environment and culture like for a Senior Data Analyst?
- Coalition fosters a remote-first, highly inclusive culture focused on a shared mission to 'Protect the Unprotected'. They value collaboration, trust, responsibility, and data excellence. The environment encourages bold thinking and continuous improvement.
- What kind of impact can a Senior Data Analyst make at Coalition?
- A Senior Data Analyst at Coalition can significantly impact the business by providing leaders with a single source of truth for GTM and servicing performance, optimizing customer acquisition and retention, influencing product and marketing strategies, and helping to prioritize actions for company growth.