Job Type:
Permanent
Build a brilliant future with Hiscox
About Hiscox
Hiscox USA was established in 2006 to focus primarily on the needs of small and middle market commercial clients, via both the broker and direct distribution channels and is today the fastest-growing business unit within the Hiscox Group.
Hiscox USA offers a broad portfolio of commercial products, including technology, cyber & data risk, multiple professional liability lines, media, entertainment, management liability, crime, kidnap & ransom, commercial property and terrorism.
About the Hiscox Data Team
The Hiscox Data Team is transforming data maturity across the organization to accelerate business growth and efficiency using Data, Analytics, and AI. The virtual team consists of a central function driving alignment, Business Unit teams identifying commercial value and providing execution capacity and technology providing for Data Engineering and ML Operations services.
We aim to empower colleagues by improving data fluency and promote a data-driven, insight-led culture that supports informed, customer-centric decisions. Commercial focus, continuous improvement and product centric delivery is at the heart of everything we do.
The Role:
Hiscox US is seeking an Analytics Engineer with experience designing, developing, and supporting data analytics capabilities and reports to join our US Data team. The Analytics Engineer will:
- Contribute to analytics capability development and asset growth while helping turn insights into action
- Design solutions that are scalable and consider end-to-end dependencies, keeping overall value and impact in mind
- Deliver projects in alignment with strategy, including building semantic models, data visualization, self-service analytics, standardized reporting, and user support for analytics applications
- Support usability of analytics and reporting through consistency, efficiency, relevancy, availability, quality, compliance, and governance
- Assist with data discovery and improving data accessibility
- Promote user adoption and provide ongoing support
The role involves collaborating with business units to understand business needs and strategies, gathering requirements for reporting and analytics, and helping identify and track key KPIs/OKRs and user activity to ensure solutions meet business objectives. Analytics Engineers at this level should have a solid foundation in data visualization and analysis using SQL and analytics tools, and be able to assess large datasets and build effective reports and analytics capabilities to communicate actionable insights. They should also be comfortable explaining their tools and findings to business stakeholders and supporting the evolution of analytics capabilities.
What you’ll be doing:
- Design and develop clear data visualization and analytics products using Power BI, DAX, DBT, TMDL, SQL, and other analytics and modeling tools
- Map and model data for self-service and scheduled reports
- Conduct quality control and record-keeping to ensure data integrity
- Manage and respond to end-user requests, troubleshooting data issues as needed
- Assist in developing training materials and delivering training on Power BI and other analytics tools
- Research and implement best practices and procedures related to performance, governance, and standards
- Apply data visualization and analytics best practices
- Support enterprise-level solutions and development approaches in visualization (such as automation and version control)
- Analyze data and collaborate with business experts, management, and team members to address business challenges
- Translate business requirements into technical requirements, document, and help implement solution designs
- Ensure deliverables meet functional, technical, and performance requirements
- Participate in the Analytics Center of Excellence and support business needs across the enterprise, including consultation, assistance, and training
- Contribute to continuous improvement and evolution of tools, capabilities, and processes to maintain alignment with business strategies
Ideal Experience:
- Bachelor’s degree in Computer Science or a related field
- 2-4 years of experience developing analytics capabilities (including self-service), models, and reports using tools like Power BI
- Experience building semantic models, dashboards, and apps using Power BI, with exposure to server features (such as Embedded analytics and row-level security)
- Solid SQL skills and understanding of data warehousing, architecture, ETL processes, and related tools (such as DBT and SSIS)
- Ability to present data insights to different audiences, including management and executives
- Experience with reporting tools sourcing from semantic models and cloud-based data warehouses/lakehouses (e.g., Databricks)
- Ability to understand business context and translate it into effective data analysis and presentation
Behavioral Skills:
- Ownership mindset and accountability for completing tasks on time
- Positive attitude and willingness to take responsibility, with a growth mindset
- Attention to detail for quality deliverables
- Curiosity to challenge the status quo and explore new technologies
- Quick learner of new tools, technologies, and concepts
- Problem-solving ability and creativity in finding solutions
- Strong communication, presentation, and analytical skills
- Adaptability to wear multiple hats and work under pressure in a fast-paced environment
- Enjoyment of learning new skills and sharing knowledge with peers/team
- Ability to collaborate effectively in a team setting
- Ability to work independently and manage multiple tasks with minimal supervision
- Flexibility to adjust to changing priorities and occasionally work beyond normal hours when needed
- Ability to switch between projects and support activities based on priority
- Capacity to handle a variety of tasks and meet deadlines
Desirable skills:
- Knowledge of scripting languages (Python, JavaScript, R, SAS, web services)
- Exposure to advanced analytics techniques (such as using open library models)
- Insurance domain experience with problem-solving and industry solution delivery
- Experience with data architecture or solution architecture is a plus
Please note this position is hybrid and requires working in our office in Atlanta, GA two (2) days per week.
Salary range: $100k-$130k
The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment.
Why Hiscox:
- 401(k) with competitive company matching
- Comprehensive health insurance, vision, dental and FSA plans (medical, limited purpose, and dependent care)
- Company paid group term life, short- term disability and long-term disability coverage
- 24 Paid time off days plus 2 Hiscox days,10 paid holidays plus 1 paid floating holiday, and ability to purchase up to 5 PTO days
- Paid parental leave
- 4-week paid sabbatical after every 5 years of service
- Financial Adoption Assistance and Medical Travel Reimbursement Programs
- Annual reimbursement of up to $600 for health club membership or fees associated with any fitness program
- Company paid subscription to Headspace to support employees’ mental health and wellbeing
- 2024 Gold level recipient of Cigna’s Healthy Workforce Designation for having a best-in-class health and wellness program
- Dynamic, creative and value-driven culture
- Modern and open office spaces, complimentary drinks
- Spirit of volunteerism, social responsibility and community involvement, including matching charitable donations for qualifying non-profits via our sister non-profit company, the Hiscox USA Foundation
You can follow Hiscox on LinkedIn, Glassdoor and Instagram (@HiscoxInsurance).
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
Work with amazing people and be part of a unique culture