A non-technical Data Analyst (they don’t want technical people) who worked with statistics (and either R or Python, predictive modeling or other components of data science) and provided recommendations to the business
Can analyze business data and make recommendations. Really important that’s what they focused on
People who are responsible for like “I looked at this a data, noticed this trend ___ so I recommended ____”
Need p&c insurance experience recently too
Looking for a personality that’s very outgoing, excited about data, and friendly.
This role is for a strategic, business-minded analyst who can use data to explain trends and drive enterprise decisions—not just build reports or models.
JO Details
Client Name
Amica Insurance
Job Title
Data Analyst
C/CTH/Perm + Duration
End of year – with extension most likely
Start date & Location
Asap. Remote. Candidates must live in EST or CST time zone
Remote
Remote
$$$
$60/hour W2 MAX
Client Detail
https://www.amica.com/
With more than a century of business know-how to our name, Amica is the oldest mutual insurer of automobiles in the country. We also offer home, marine, personal umbrella liability and life insurance products. Our employees are the key to providing exceptional service to our loyal policyholders.
Key Takeaways
Strategic Analytics team:
Works across multiple business areas
Focuses on enterprise-wide priorities and trade-offs
Handles more exploratory, ad hoc analysis
Investigates why trends are happening and what actions should be taken
Nature of the Work
The role is highly analytical and business-focused, not just technical
Key responsibilities include:
Explaining trends (good or bad)
Recommending business actions
Evaluating impact at an enterprise level
Work produced may later be handed off to BI teams for automation
Skill Set Required
Strong emphasis on blending data skills with business acumen
Candidates should go beyond technical capabilities and:
Interpret data in a business context
Provide insights and recommendations
Some knowledge of statistical and data science principles is important:
Evaluating significance
Understanding correlation vs. causation
Not a Data Science Team
This team does not build or productionize models
they rely on analytical rigor and statistical thinking to support insights
Position
The Business Analyst will play a pivotal role in shaping enterprise-level insights and driving strategic decision-making. Reporting to the AVP of Strategic Analytics, this role partners with all functional areas to develop a comprehensive narrative of business performance and recommend actions to improve outcomes. The ideal candidate combines strong analytical capabilities with business acumen and a passion for using modern tools to accelerate insight generation.
Key Responsibilities
Analyze internal and external business trends to identify performance drivers and improvement opportunities.
Collaborate across departments to gather context, align on KPIs, and develop a full story of enterprise results.
Translate complex data into clear, compelling narratives and visualizations for executive audiences.
Recommend data-driven actions to improve business performance and track the impact of implemented changes.
Partner with Finance and operational leaders to quantify the financial impact of proposed strategic actions, ensuring recommendations are assessed based on a clear ROI.
Develop and maintain dashboards, reports, and models that support strategic planning and operational decision-making.
Leverage AI tools such as ChatGPT, Gemini, and Microsoft Copilot to enhance research, analysis, and productivity.
Ensure data quality and integrity through validation, profiling, and adherence to best practices.
Contribute to a culture of data literacy and insight-driven decision-making across the enterprise.
Qualifications
Bachelor’s degree in Business Analytics, Economics, Statistics, Data Science, or a related field (Master’s preferred).
6 years of experience in a business analyst or data analyst role, preferably within insurance or financial services (strong preference for P&C insurance experience).
Proficiency in SQL, Snowflake, Python, and data visualization tools (e.g. Power BI, MicroStrategy, Tableau).
Strong analytical thinking, problem-solving, and communication skills.
Proven ability to influence senior stakeholders, build strong collaborative relationships, and drive alignment on data-driven recommendations.
Demonstrated ability to work independently and collaboratively across functions.
Experience identifying and analyzing trends and their business implications.
Experience with executive reporting and strategic performance analysis.
Understanding of enterprise data governance and reporting standards.
Active user of AI tools (e.g., ChatGPT, Gemini, Microsoft Copilot) to drive efficiency and conduct deep research and analysis.
Ability to promote best practices in data storytelling and analytics
Information
Locations Position Open to RemoteIndustry InsuranceStatus OpenJob Age 26 Day'sCreated Date 05/22/2026No.of Positions 1Duration 6Zip Code
