> Markdown version of [/jobs/ext/2697134-business-intelligence-analyst-ii-finance-pricing](https://www.wearedevelopers.com/jobs/ext/2697134-business-intelligence-analyst-ii-finance-pricing). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Business Intelligence Analyst II - Finance/Pricing - **Company:** UNUM Group - **Location:** Portland, ME, United States - **Experience:** Experienced - **Salary:** $73,300.0 - $150,500.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Big Data, Databases, Data Validation, Data Profiling, Data Visualization, Data Warehousing, Database Queries, Power BI, SQL Databases, Tableau (Software), Information Technology, Data Analytics, Alteryx - **Published:** September 3, 2026 - **Apply:** https://unum.wd1.myworkdayjobs.com/External/job/Portland-Maine-USA/Business-Intelligence-Analyst-II---Finance-Pricing_836071 ## About the Role * Bachelor's degree in Business, Finance, Analytics, Statistics, Computer Science, Mathematics, or a related field preferred; equivalent experience will be considered. * Four or more years of experience in business intelligence, data analytics, pricing analytics, financial analysis, or a related field. Strong SQL skills with demonstrated experience querying, extracting, and analyzing data from enterprise data environments. SQL is the primary technical requirement for this role. * Experience with modern BI and visualization tools such as Tableau, Power BI, Alteryx, or similar platforms. Experience with these tools is preferred but can be developed on the job. * Demonstrated understanding of data profiling, statistical analysis, reporting, and analytical problem-solving techniques. * Experience leveraging data from data warehouses, transactional databases, and other enterprise data sources. * Proven ability to translate business questions into analytical solutions and translate technical findings into clear business recommendations. * Strong stakeholder management and relationship-building skills, including the ability to influence outcomes and collaborate across multiple business functions. * Ability to work effectively in ambiguous environments, demonstrate resourcefulness, and move work forward despite incomplete information. * Demonstrated curiosity, critical thinking, and a proactive approach to understanding not only what data shows, but why results occur. * Excellent verbal and written communication skills with the ability to adapt messaging for different audiences. * Strong problem-solving skills and the ability to independently prioritize competing demands in a fast-paced environment. * Experience in pricing, finance, insurance, underwriting support, or related analytical functions is preferred. * Strong team player with a demonstrated ability to collaborate effectively across functions, build partnerships, and contribute to a positive team environment. ## Description Join a dynamic team where data drives strategic business decisions. As a Business Intelligence Analyst II - Finance/Pricing, you will leverage SQL and advanced analytical skills to transform complex data into actionable insights that support pricing strategies across Unum's absence products. Working closely with business partners, underwriting, and cross-functional teams, you will uncover trends, solve complex problems, and influence key decisions that impact customers and business performance. This role is ideal for a naturally curious analyst who enjoys digging beyond the numbers to understand the "why" behind the data. Success in this position requires a unique blend of technical expertise, business acumen, and stakeholder partnership skills, with opportunities to collaborate across the organization, shape pricing decisions, and contribute to high-impact initiatives in a fast-paced environment. This is a campus-based role. Current remote and field-based Unum employees may apply and will be considered in accordance with company policy Principal Duties and Responsibilities * Conduct moderately complex data profiling, analysis, and investigative research to identify trends, understand business drivers, and determine the most appropriate data sources for business decision-making. * Extract, transform, and analyze large datasets using SQL to develop actionable insights, reports, dashboards, pricing models, and datasets that support business objectives. * Support pricing and financial analysis activities for Absence Operations products, including Leave, ASO, STD, and ADA offerings, by evaluating customer and prospect data to inform pricing strategies and business decisions. * Perform statistical and quantitative analyses, summarize findings, and present recommendations to business partners, leadership, underwriting, and other stakeholders. * Collaborate with business partners to understand requirements, translate business needs into analytical solutions, and validate outputs to ensure business objectives are met. * Partner with data engineers and other technical resources to support data validation, testing, quality assurance, and continuous improvement efforts. Communicate complex analytical findings to both technical and non-technical audiences, tailoring messaging to stakeholder needs and enabling informed decision-making. * Demonstrate curiosity and a holistic approach to analysis by exploring root causes, identifying additional opportunities for insight, and proactively recommending solutions. * Continuously expand knowledge of business intelligence technologies, pricing methodologies, insurance operations, and emerging industry trends. * May provide mentoring, coaching, and developmental support to junior analysts and team members. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Anomaly Detection - Using unsupervised Machine Learning for detecting anomalies in customer base](https://www.wearedevelopers.com/videos/6-anomaly-detection-using-unsupervised-machine-learning-for-detecting-anomalies-in-customer-base) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Data Analyst Salary Austria](https://www.wearedevelopers.com/magazine/275-data-analyst-salary-austria) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)