Analytics Engineer

Salary

$100k-$140k

Location

Atlanta, GA; Hybrid

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
3-4 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

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