Great American Insurance Group Logo

Great American Insurance Group

Digital Analytics Analyst

Reposted 2 Days Ago
Remote
Hiring Remotely in USA
75K-90K Annually
Mid level
Remote
Hiring Remotely in USA
75K-90K Annually
Mid level
The Digital Analytics Analyst will develop data strategies, implement analytics tools, and translate complex data into actionable insights for business impact.
The summary above was generated by AI

Be Here. Be Great. Working for a leader in the insurance industry means opportunity for you. Great American Insurance Group's member companies are subsidiaries of American Financial Group. We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed. With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow.

At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best.

The Customer Insights & Analytics team is seeking a Digital Analytics Analyst to support customer-focused initiatives across the organization.  This is a mid-level role requiring both hands-on technical skills and strategic thinking. The position is responsible for implementing digital analytics tools, contributing to measurement strategy development, and translating complex data into clear, actionable insights.

You will partner with cross-functional teams to ensure data quality, develop meaningful dashboards, and influence decision-making through structured analysis and data storytelling. This role is ideal for someone who is both technically skilled and strategically minded, with a focus on driving measurable business impact.

Key Responsibilities

  • Develop and implement data analysis strategies aligned to business objectives

  • Define, implement, and validate key performance metrics and KPIs

  • Configure and maintain digital tracking across platforms and analytics tools

  • Perform complex analysis across large and disparate datasets

  • Build dashboards and reports that clearly communicate insights and trends

  • Identify actionable insights that improve customer experience and inform strategic decisions

  • Translate data into clear, compelling narratives for stakeholders

  • Partner with business and product stakeholders to translate objectives into measurement strategies and requirements

  • Write user requirements, use cases, and documentation to support analytics implementation and reporting

Core Technical Skills (Required)

Demonstrated hands-on skills with the following:

  • SQL

  • JavaScript

  • Google Tag Manager

  • Google Analytics 4 (GA4)

  • Power BI or Tableau

Preferred Qualifications

  • 3+ years of experience in digital analytics, product analytics, or data science

  • Background working with behavioral analytics tools (Quantum Metric a plus, or similar platforms)

  • Working knowledge of Snowflake, including querying and data exploration

  • Hands-on expertise implementing and managing analytics through Google Tag Manager, including dataLayer design and governance

  • Familiarity with consent management platforms (e.g., TrustArc or similar) and privacy regulations (e.g., CCPA and GDPR)

  • Proficiency working with cloud data platforms such as Snowflake or BigQuery

  • Skilled in building dashboards and visualizations in Power BI or Tableau

  • Exposure to A/B testing, experimentation frameworks, or optimization methodologies

  • Track record supporting cross-functional teams including Product, UX, IT, and Marketing and Branding

What You’ll Bring

  • Proactive ownership mindset with the initiative to drive work forward and see tasks through to completion

  • Forward-thinking approach, anticipating downstream impacts and planning accordingly

  • Strong analytical thinking with a structured, methodical approach to problem-solving and root cause analysis

  • Skill in synthesizing stakeholder questions, requirements, and ideas into meaningful, measurable metrics

  • Capability to distill complex data into clear, actionable insights that drive business and customer impact, with a disciplined focus on meaningful metrics over surface-level reporting

  • Comfort working in a fast-paced, multi-stakeholder environment within a small, high-impact team

  • Curiosity and persistence to explore data beyond immediate requests, investigate patterns, and uncover underlying drivers of behavior, contributing to the advancement of an enterprise behavioral analytics practice

  • Ability to learn complex concepts and tools quickly, take initiative, and apply guidance effectively

Business Unit:

Business Data and Analytics


Salary Range:

$75,000.00 -$90,000.00

Benefits:

We offer competitive benefits packages for full-time and part-time employees*. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.

 

Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process. Learn more at http://www.gaig.com/careers.

 

*Excludes seasonal employees and interns.

Similar Jobs

3 Minutes Ago
Remote
United States
Senior level
Senior level
Information Technology • Productivity • Professional Services • Software • Business Intelligence
Lead FP&A activities including monthly and quarterly reporting, KPI development, budgeting/forecasting, scenario modeling, ad hoc profitability and cash analyses, and cross-functional financial partnership to inform executive decisions.
Top Skills: ExcelNetSuitePlanfulPower BISalesforceZuora
5 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
228K-316K Annually
Senior level
228K-316K Annually
Senior level
Artificial Intelligence • Fintech • Machine Learning • Social Impact • Software
Lead and scale Upstart's Mobile Platform organization, define mobile platform vision, build shared capabilities and reusable components, improve onboarding and discoverability, deliver a robust native mobile experience (React Native), drive CI/CD, testing, observability, KPIs, and collaborate with Product, Design, Analytics, Legal, and Loan Product teams while hiring and mentoring engineering leaders.
Top Skills: AndroidCi/CdiOSObservabilityReact NativeTesting Frameworks
5 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
167K-231K Annually
Senior level
167K-231K Annually
Senior level
Artificial Intelligence • Fintech • Machine Learning • Social Impact • Software
Design, build, and scale authentication, authorization, and experimentation systems for Upstart's lending products. Implement OAuth/OIDC/SAML-based flows, secure APIs with containerized deployments, partner with security and product teams to improve IAM, mentor engineers, participate in architecture, and drive platform experimentation and lifecycle improvements.
Top Skills: C#Claude CodeCursorDockerJavaKotlinKubernetesMfaOauth 2.0Openid ConnectRubySAMLSso

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account