At Allstate, we are looking for a Data Analytics Engineer who is passionate about using data to drive insights and improve the customer experience. The ideal candidate should have a combination of technical and business acumen, with the ability to utilize data and analytics to solve complex problems. We are looking for a candidate who is highly motivated, creative, and has a strong understanding of data analysis and data engineering principles.The successful candidate should possess a bachelor's degree in a related field, such as computer science, engineering, mathematics, or business analytics. We are also looking for a candidate with 3+ years of experience in data engineering, data analytics, or a related field. The ideal candidate should have experience with data warehousing, data modeling, business intelligence, and ETL processes. In addition, they should possess strong problem-solving skills, be able to work independently, and be comfortable working with large datasets.We are seeking a highly qualified and motivated individual to join our data analytics team and help us reach our goal of providing the best customer experience. If you are eager to join a team of passionate and driven professionals, and you have the qualifications we are looking for, we want to hear from you!
Responsibilities:
- Design and develop data warehouses, data models, and ETL processes to support data-driven insights.
- Utilize data analytics to solve complex business problems and improve the customer experience.
- Develop business intelligence solutions to support strategic decision making.
- Analyze large datasets to uncover key trends and insights.
- Develop and maintain documentation detailing data structures, algorithms, and other components of the data analytics process.
- Collaborate with stakeholders and other data professionals to ensure the accuracy and integrity of data.
- Monitor and optimize data engineering and analytics processes to ensure maximum efficiency.
- Identify and address any potential issues related to data security, privacy, or accuracy.
- Stay up-to-date on industry trends and best practices related to data engineering and analytics.
Strong Analytical Skills
Knowledge Of Programming Languages Such As Python
R
Sql
And Sas
Familiarity With Data Analysis Techniques Such As Data Mining
Machine Learning
And Statistical Modeling
Ability To Develop And Implement Data Analytics Solutions
Experience With Data Visualization Tools Such As Tableau And Power Bi
Familiarity With Big Data Technologies Such As Hadoop
Spark
And Kafka
Ability To Work With Large Data Sets
Excellent Problem-Solving Skills
Sql
Python
Java
Business Intelligence
Data Analysis
Tableau
Big Data
ETL
R
Machine Learning
Data warehousing
Cloud Computing
Data Mining
Visualization
Statistics
Communication
Decision Making
Leadership
Problem Solving
Time management
Interpersonal Skills
self-motivation
Critical thinking
Teamwork
Adaptability
According to JobzMall, the average salary range for a Data Analytics Engineer is $56,000 to $113,000 per year. The median salary is approximately $84,500.
Salary ranges vary greatly depending on experience, location, and other factors. Data Analytics Engineers with more experience and qualifications may earn significantly higher salaries. Data Analytics Engineers in larger cities and more competitive markets often earn more than the average salary.
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The Allstate Corporation is an American insurance company that is in the United States.
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