Data Analyst, Customer Success & Digital Solutions

About the role

Acrisure Enterprise Technology Group is where human expertise meets advanced technology. A global fintech leader, Acrisure empowers millions of ambitious businesses and individuals with the right solutions to grow boldly forward. Bringing cutting-edge technology and top-tier human support together, we connect clients with customized solutions across a range of insurance, reinsurance, payroll, benefits, cybersecurity, mortgage services – and more.

Responsibilities

• Drive the development of efficient and reliable reporting and analytics capabilities with a data as a product and customer-first mindset.
• Advance the transition of users from legacy means of accessing information to the future state strategies of data enablement and self-service with applied analytics.
• Design and maintain internal SDKs, dashboards and reusable data libraries that enable stakeholders, analysts and engineers to access curated datasets with consistency and confidence.
• Champion a developer-experience mindset by gathering feedback from SDK consumers, iterating on interfaces, and providing documentation and onboarding resources that scale knowledge across the team.
• Leverage AI-assisted development tools to accelerate SDK, Dashboards, and analytics via Palantir.
• Create presentation/visualization of data to see beyond the numbers while transforming data into actionable insights and recommendations.
• Identify, adopt, and evangelize data analysis best practices and technical standards.
• Advocate for and identify creative implementations to optimize business impact.
• Empower others to grow understanding of the complexity of data by creatively scaling how teams’ knowledge is shared and applied.
• Help identify better practices, tools, and relevant trends that can improve data quality across the business.

Requirements

• 5+ years of industry experience as a Data Analyst or Business Intelligence Professional serving the finance and accounting business functions.
• A passion for building remarkable things with data.
• Demonstrated ability to be a data storyteller and can go deep in building data visualizations and reporting using third party tools (Tableau and PowerBI).
• Strong understanding of data models, structures, theories, principles, and practices.
• Proficiency working with stakeholders to gather requirements, understand process and translate them to data and create/evaluate associated KPIs.
• Experience with AI, SQL, Python, PowerBI, Tableau, dbt, BigQuery, Git, Palantir and data modeling.
• Experience with agile project execution and business tools such as Jira & ServiceNow.
• Excellent communication and leadership skills and can unpack complex problems in order to find solutions.
• Ability to understand the business purpose or problem behind a request.
• Positive & creative problem solving in the face of data challenges.
• Flexibility to successfully multi-task in a fast-paced environment with a positive attitude.
• Strong teamwork, solution-centric, and customer-service-oriented attitude.

Qualifications

• Possess empathy, kindness towards others, a positive attitude, and self-awareness.
• Have a Bachelor’s degree in Computer Science, Math, Statistics, Business, or related field, or equivalent experience.

Skills

• SQL
• Python
• PowerBI
• Tableau
• dbt
• BigQuery
• Git
• Palantir
• Data modeling
• AI

Benefits

• Competitive compensation
• Generous vacation policy, paid holidays, and paid sick time
• Medical Insurance, Dental Insurance, and Vision Insurance (employee-paid)
• Company-paid Short-Term and Long-Term Disability Insurance
• Company-paid Group Life insurance
• Employee Assistance Program (EAP) and Calm App subscription
• Optional supplemental insurance coverage
• Vested 401(k) with company match and financial wellness programs
• Flexible Spending Account (FSA), Health Savings Account (HSA) and commuter benefits options
• Paid maternity leave, paid paternity leave, and fertility benefits
• Career growth and learning opportunities

Pay

Details on pay are confidential and will be provided during the interview process.

Schedule

The role is full-time and requires an onsite presence 4 days per week.