Senior Data Analyst - Predictive Care Analytics (Remote)

Angi

Denver (CO)

On-site

USD 100,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, vision

Flexible vacation

Pet discount plans

401K retirement plan

Job summary

Angi is seeking a highly analytical Senior Analyst to support the analytics roadmap for the Customer Care team. You will use data modeling, visualization, and predictive insights to optimize care, improve revenue, and enhance customer experience for homeowners and pros.

You will collaborate with product, strategy, and operations to measure save rate and churn, and advise on actions to improve outcomes. In this role you will build scalable data solutions, mentor juniors, and push AI-enabled

Qualifications

Bachelor's degree in Data Science, Economics, Statistics, Business, or a related field.
5+ years of analytical experience in an e-commerce, marketplace, or related field.
Strong proficiency in SQL and data analysis tools such as Python or R.
Expertise in data visualization tools such as Looker, Tableau, or Power BI.
Demonstrated ability to apply predictive modeling techniques to solve business problems.
Excellent communication skills with the ability to translate complex data into actionable business recommendations.
Strong project management skills and the ability to manage multiple priorities in a fast-paced environment.
Ability to leverage AI to streamline analytical workstreams.

Responsibilities

Engage with cross-functional stakeholders to build relationships, understand their analytical needs, and align on project scope and timing.
Analyze changes in network trends to identify growth opportunities.
Leverage advanced modeling skills to generate predictive and prescriptive insights, while supporting self-serve solutions where feasible.
Communicate complex findings to non-technical stakeholders through clear, compelling narratives and visualizations.
Create and maintain dashboards to monitor key metrics, exploring solutions for near real-time analytics to enable agile responses to changing market conditions.
Follow best practices for data validation and quality assurance
Seek out and pursue opportunities to leverage AI to spark creativity, process information, and streamline analytical workstreams.
Work with data and product teams to maintain accurate, scalable data solutions and enhance shared data resources.
Proactively document and share insights with peers, and embrace opportunities to mentor junior team members.