Data Analyst

Mitchell International; San Diego (CA); Remote; USD 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Data Analyst to join their dynamic team. In this role, you'll leverage your SQL and Python skills to enhance databases and support data-driven decision-making. You'll collaborate with business teams to implement new features and drive insights while utilizing advanced analytics techniques. This position offers a unique opportunity to work in a collaborative environment that values innovation and personal growth, making a significant impact in the field of data analytics. If you're passionate about data and eager to contribute to meaningful projects, this is the perfect role for you.

Qualifications

• 0-1 years of experience with SQL and Python for data manipulation.
• Strong communication skills to explain technical concepts to non-tech stakeholders.

Responsibilities

• Execute ETL tasks using SQL and Python for data analysis.
• Design and develop tools for data visualization and insights.

Skills

SQL

Python

Data Visualization

Predictive Modeling

Machine Learning

Communication Skills

Education

Bachelor's degree in Data Science

Bachelor's degree in Computer Science

Bachelor's degree in Statistics

Bachelor's degree in Engineering

Tools

Tableau

Power BI

Hex

Snowflake

Job description

Mitchell International

Data Analyst

US--Remote

Job ID: 25-17970
Type: Regular Full-Time
# of Openings: 1
Category: Corporate
Mitchell International, Inc.

Overview

At Enlyte, we combine innovative technology, clinical expertise, and human compassion to help people recover after workplace injuries or auto accidents. We support their journey back to health and wellness through our industry-leading solutions and services. Whether you're supporting a Fortune 500 client or a local business, developing cutting-edge technology, or providing clinical services you'll work alongside dedicated professionals who share your commitment to excellence and make a meaningful impact. Join us in fueling our mission to protect dreams and restore lives, while building your career in an environment that values collaboration, innovation, and personal growth.

Be part of a team that makes a real difference.

Responsibilities

As a Data Programmer in the Casualty Analytics Group, you will play a crucial role in building and supporting the foundation of Enlyte's data-driven decision-making process. Your responsibilities will include enhancing our central databases, supporting insurance claim data analysis, and developing solutions to communicate and monitor results.

Key Responsibilities:

• Execute data extraction, transformation, and loading (ETL) tasks using SQL and Python
• Collaborate with business teams to implement new data features, promote adoption of central databases, and drive company-wide insights
• Analyze insurance claim data using advanced techniques such as predictive modeling and machine learning
• Design and develop tools, metrics, and dashboards for data visualization and insights
• Implement technical solutions to address business challenges
• Utilize dashboarding tools to effectively communicate and monitor results

Qualifications

Bachelor's degree in a quantitative field such as Data Science, Computer Science, Statistics, Engineering, or a related discipline

• 0-1 years of experience with SQL and Python for data manipulation, analysis, and visualization
• Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders
• Proficiency in data visualization tools such as Tableau or Power BI
• Solid understanding of data warehousing concepts, database management, and ETL practices
• Demonstrated ability to build scalable solutions (e.g., efficient algorithms, optimized database queries, code for large datasets)
• Enthusiasm for staying current with the latest trends and advancements in data analytics

Preferred Skills:

• Advanced degree in a quantitative field such as Data Science, Computer Science, Statistics, or a related discipline
• Experience with analytics platforms like Hex
• Familiarity with big data technologies such as Snowflake
• Knowledge of the workers' compensation insurance industry

Salary:

Please see job description

PI270546488

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