Data Analytics Senior Consultant

We are seeking a highly analytical and business-savvy professional to join our team as a Data Analytics Sr. Consultant II. This role bridges the gap between data analysis and business strategy, enabling data-driven decision-making across the organization. The ideal candidate will be skilled in data manipulation, visualization, and storytelling, with a strong understanding of business processes and stakeholder needs.

Key Responsibilities:

Data Analysis & Reporting

• Collect, clean, and analyze structured and unstructured data from various sources.
• Develop data products, dashboards, and reports using tools like Power BI, Tableau, or Looker.
• Identify trends, patterns, and anomalies to support business decisions.
• Perform ad hoc analyses to answer specific business questions.

Business Analysis & Strategy

• Collaborate with stakeholders to gather requirements and define KPIs.
• Translate business needs into analytical solutions and actionable insights.
• Conduct market, competitor, and customer analysis to support strategic initiatives.
• Document business processes and recommend improvements based on data findings.

Cross-Functional Collaboration

• Serve as a liaison between data engineering, actuarial, and business units.
• Present findings and recommendations to stakeholders in clear, business-friendly language.
• Support project planning, prioritization, and performance tracking.

Qualifications:

• Bachelor’s degree in business, Data Science, Economics, Statistics, or related field.
• 4+ years of experience in data analysis or a related role.
• Proficiency in SQL, Excel, and data visualization tools (e.g., Power BI, Tableau).
• Experience with Python or R is a plus.
• Strong communication and stakeholder management skills.
• Ability to think critically and solve complex problems.

Preferred Skills:

• Experience working in Insurance/InsurTech or with digital insurance platforms.
• Experience in Agile or Scrum environments.
• Familiarity with cloud platforms (e.g., Azure, AWS).
• Exposure to machine learning or AI applications in insurance.

Skills:

• Actionable Insights
• Ad Hoc Analysis
• Advanced Analytics
• Analytical Solutions
• Business Influence
• Data Analysis
• Data Analytics
• Data Building Tool
• Data-Driven Decision Making
• Data Visualization
• Structured Query Language (SQL)

Compensation:

Compensation offered for this role is $70,500.00 – 124,125.00 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.