Actuarial Data Analyst

Why Arbella?

At Arbella, we're focused on people. We work hard to attract and retain the best. That means providing a great work environment, encouraging work/life balance, offering flexible work arrangements, and competitive, industry-leading salaries and benefits packages. We invest in our employees and encourage them to grow so that we, too, can grow as a company.

Other perks include: • On-site gym and fitness classes and one-on-one personal training• On-site nurse, nutritional counseling, and mental health resources• Full-service cafeterias• Free shuttle service to Quincy Adams T Station• Tuition assistance programs • Opportunities to get involved: Arbella Activities Committee, Diversity and Inclusion Council, and more • A company committed to community: volunteer opportunities, employee-led community efforts, and the Arbella Insurance Foundation • Robust training, mentorship, and professional/personal development programs • Colleagues who genuinely care about each other

Arbella is committed to building a workplace that's diverse, inclusive, and equitable for everyone. We've created a culture that supports a diverse workplace where all are valued for their talents and are empowered to reach their full potential.

It's no wonder our employees have voted Arbella one of the Boston Business Journal's "Best Places to Work" every year since 2009

The Data Analyst works under general supervision to support business data initiatives. They must have excellent analytical skills to interpret and translate data needs across the organization. They may lead various sized efforts and support team members throughout the project lifecycle. They will aide in documenting business and functional requirements and create data mappings for downstream applications. Candidate will be hired based on appropriate level of experience.

Key Responsibilities

• Ensure accuracy and completeness of tables and databases used for statistical reporting, pricing, reserving and analytical analyses.
• Collaborate with stakeholders to understand their data needs and work with data engineers to build effective data models.
• Transform business users' data needs into business and functional requirements.
• Assist with data needs (quality assurance, data mapping, data transformation) associated with system migration and other Company goals.
• Research, monitor and assess the impact of business changes and regulatory changes.
• Create data mappings and perform data gap analysis for downstream applications.
• Write and execute test cases, document results, and track defects.
• Work with other teams and departments on improving data and value for the organization.
• Estimate requirement and testing efforts.
• Communicate appropriate and timely status updates to the direct manager and project manager.
• Delivers information across the corporate structure effectively and efficiently.
• Write SQL scripts and queries to extract data.
• Identify data issues proactively and flag them to respective stakeholders.
• Perform ad-hoc data analysis.
• Respond to outside consultants, auditors and vendors regarding statistical and other data questions.

Key Requirements:

• Bachelor's degree in a related area and 1 plus years of relevant experience.
• Some knowledge of data conversion and systems integrations.
• Some knowledge of business operations, objectives and strategies.
• Understanding of SQL and Databases.
• Excellent customer service, verbal and written communication and collaboration skills; must be detail oriented with strong analytical skills.
• Experience using Agile, Lean or similar methodologies and supporting tools such as JIRA and Confluence is a plus.
• Solid technical writing foundation.
• Understands the big picture of the business model and can analyze with focus and purpose to transform quality data into an asset.
• Requires a strong work ethic and a skillset geared toward data management.
• Ability to identify ahead of time possible consequences and impacts of any changes to processes, storage, applications or reports.
• Develop knowledge of business and technical domains to evaluate solutions for the systems they support.

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