Data Analytics - Consultant II / Senior Consultant I

This fully remote, multi-level opportunity sits within a high-visibility analytics environment focused on turning complex data into actionable business insights.
You will analyze large datasets, build compelling visualizations, and help stakeholders understand performance, trends, risks, and opportunities.
The role combines hands-on analytics with business partnership, requiring you to translate technical findings into clear recommendations.
Depending on experience level, you may independently deliver defined analytics assignments or lead more complex and ambiguous initiatives.
You will work closely with sales, strategy, distribution, and business leadership teams to influence decisions and improve performance.
The position offers an opportunity to strengthen data-driven practices while contributing to strategic priorities and continuous improvement.
Success requires a blend of analytical expertise, business curiosity, communication skills, and the ability to turn insights into action.

• For Consultant II: 1+ year of experience in analytics, reporting, business intelligence, or a related discipline.

• For Senior Consultant I: 3+ years of experience in analytics, reporting, business intelligence, or a related discipline.

• Working knowledge of SQL for data querying and manipulation; strong SQL and advanced analytical capabilities are expected at the senior level.

• Experience developing dashboards, reports, KPI solutions, or performance measurement tools using Power BI or a comparable visualization platform.

• Ability to identify meaningful trends and translate analytical findings into practical business recommendations.

• Strong written and verbal communication skills, with the ability to explain data and insights clearly to technical and non-technical stakeholders.

• Strong organization and prioritization skills, including the ability to manage multiple analytical assignments simultaneously.

• At the senior level, demonstrated ability to independently lead multiple analytics projects, frame ambiguous problems, align stakeholders, and influence business decisions through data-driven insights.

• Bachelor’s degree in Business, Analytics, Finance, Statistics, Computer Science, or a related field is preferred.

• Experience in insurance, sales, distribution, or financial analytics is preferred.

• Familiarity with Microsoft Fabric, Azure, data lakehouse environments, Python, R, or another programming language is preferred.

• Demonstrated business curiosity, analytical thinking, collaboration skills, and the ability to connect data insights with broader business strategy.