This position is for a Data Analyst at Allstate Identity Protection, located in the United States, and is a remote role.
The role involves supporting analytics and data science teams by building reliable data pipelines and delivering actionable insights that drive business decisions.
Responsibilities include cleaning, transforming, and validating data for analysis and reporting.
The Data Analyst will build and maintain dashboards and reports to support various business needs.
The position requires managing and coordinating data flows across multiple systems and platforms.
Conducting ad hoc analyses and data segmentation to answer evolving business questions is also part of the role.
The analyst will present insights effectively to stakeholders to facilitate informed decision-making.
Collaboration with cross-functional teams to design and deliver data-driven solutions is essential.
The role contributes to developing enterprise-wide data assets and analytics platforms.
Proficiency in SQL, Python, and Microsoft Excel is required.
Experience with BI tools such as Power BI for dashboard and report development is necessary.
Familiarity with data orchestration tools like Apache Airflow or Microsoft Fabric is preferred.
A solid understanding of data cleaning, transformation, and validation techniques is essential.
The ability to communicate complex data insights to non-technical audiences is required.
Experience working with large datasets and cloud-based data environments is necessary.
Strong analytical thinking, attention to detail, and problem-solving skills are crucial.
Requirements:
Candidates must have proficiency in SQL, Python, and Microsoft Excel.
Experience with BI tools such as Power BI for dashboard and report development is required.
Familiarity with data orchestration tools like Apache Airflow or Microsoft Fabric is preferred.
A solid understanding of data cleaning, transformation, and validation techniques is essential.
The ability to clearly communicate complex data insights to non-technical audiences is necessary.
Experience working with large datasets and cloud-based data environments is required.
Strong analytical thinking, attention to detail, and problem-solving skills are crucial.
Preferred qualifications include prior experience in the insurance industry or claims handling.
Experience presenting business results and driving stakeholder conversations is also preferred.
Benefits:
The position offers a competitive salary range of $57,500 to $88,280 annually, based on experience and qualifications.
Comprehensive health benefits including medical, dental, and vision coverage are provided.
The work environment is flexible and inclusive, promoting collaboration and innovation.
Opportunities for professional growth and skill development are available.
The company is committed to diversity, equity, and inclusion.