Analytics Manager – Data Engineering & BI

Acunor; United States; Remote; USD 160,000 - 180,000; Full time

Job summary

An innovative firm is seeking an experienced Analytics Manager to lead data engineering and BI projects for insurance clients. This role requires a strategic thinker with extensive knowledge in analytics and AI, who can manage cross-functional teams and engage with senior stakeholders. As a leader, you will oversee the delivery of advanced analytics solutions that enhance operational efficiency and drive business results. If you have a passion for transforming data into actionable insights and enjoy mentoring teams, this position offers an exciting opportunity to make a significant impact in the insurance industry.

Qualifications

• 10-15 years in data analytics with insurance expertise, especially in P&C.
• Strong technical skills in SQL, Python, Spark, and cloud platforms.

Responsibilities

• Lead analytics and AI projects ensuring timely, scalable solutions.
• Architect and supervise data pipelines, warehousing, dashboards, and models.

Skills

SQL

Python

Spark

Cloud Platforms

BI Tools

MLOps

Generative AI

Leadership

Problem Solving

Education

Bachelor's in Data Science

Master's in Data Science

Bachelor's in Statistics

Master's in Statistics

Bachelor's in Economics

Master's in Economics

Job description

Analytics Manager – Data Engineering & BI

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This range is provided by Acunor. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$160,000.00/yr - $180,000.00/yr

Job Details

• Position: Analytics Manager - Data Engineering & BI
• Location: Remote
• Type: Full-time

Overview

Seeking an experienced leader to oversee data engineering, BI, and AI/ML projects for insurance clients. The role involves technical leadership, client management, and strategic insight to deliver advanced analytics solutions that improve operational efficiency and business results.

Responsibilities

1. Project Leadership: Lead analytics and AI projects ensuring timely, scalable, solutions.
2. Technical Oversight: Architect and supervise data pipelines, warehousing, dashboards, and models.
3. Domain Expertise: Translate insurance challenges into data-driven solutions.
4. Team Management: Mentor cross-functional teams including data engineers, scientists, and analysts.
5. Client Engagement: Communicate with senior stakeholders, demonstrating business value.
6. Innovation & Strategy: Identify opportunities for analytics and AI enhancements.
7. Client Relationship Management: Manage client expectations and satisfaction.
8. Strategic Leadership: Develop roadmaps for analytics and digital transformation.
9. Data & Analytics Strategy: Apply advanced analytics to solve complex insurance challenges.
10. Project Delivery: Ensure projects meet goals and standards.
11. Stakeholder Engagement: Maintain clear communication with clients and internal teams.
12. Business Development: Support expansion and new opportunities.
13. Risk Management: Proactively address project risks.
14. Market Insights: Keep abreast of industry trends and innovations.
15. Technical Skills: SQL, Python, Spark, cloud platforms, BI tools, MLOps, Generative AI.
16. Leadership & Problem Solving: Manage teams and develop innovative solutions.

Candidate Profile

• Bachelor’s or Master’s in Data Science, Statistics, Math, Economics, CS, or related; advanced degree preferred.
• 10-15 years in data analytics, with insurance expertise, especially in P&C.
• Strong technical skills in SQL, Python, Spark, cloud platforms, BI tools, MLOps, Generative AI.
• Proven leadership in managing teams.
• Strategic thinking and problem-solving abilities.
• Experience in consulting or professional services is a plus.