Data Analytics Engineer I

Overview

Position Summary:

As a Data Analytics Engineer I you will help create highly-scalable production data pipelines for our advanced analytics and data science teams – as well as perform ad-hoc analyses for personnel in less technical functions – to use every day to evolve our business. The Analytics Engineer I will help design, evaluate, and test data infrastructures and support all things data across the organization.

 

State specific pay scales for this role are as follows:

 

$83,394.77 to $154,017.37 (CA, NJ, NY, WA, HI, AK, MD, CT, RI, MA)

$75,813.43 to $140,015.79 (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME)

$68,232.09 to $126,014.21 (UT, ID, MT, NM, SD, NE, KS, OK, IA, AR, LA, MS, AL, TN, KY, IN, SC, NC, WV)

 

The expected base salary for this position will vary depending on a number of factors, including relevant experience, skills and location.

Responsibilities

Essential Job Functions:

Work closely with the Data Science team to perform complex analytics and data preparation tasks

Help design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across all departments, all products, and all states.

Solve challenging data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources.

Collaborate with teams of data analysts and data scientists, who research and integrate algorithms to develop solutions to address complex data problems. Help address pain points that Analytics & Data Science face with our existing data models.

Leverages existing data infrastructure to fulfill all data-related requests, perform necessary data housekeeping, data cleansing, normalization, hashing, and implementation of required data model changes. Analyzes data to spot anomalies, trends and correlate similar data sets. Designs, develops and implements natural language processing software modules.

Other functions may be assigned

Qualifications

Education:

• Bachelor's degree in computer science, Mathematics, Electrical Engineering, Information Systems, or related field

• Or equivalent combination of education and/or experience

 

Experience:

1 or more years of experience in data analytics, analytics engineering, data engineering, and/or data science.

1 or more years of experience in P&C insurance, preferred, but not required

 

Knowledge and Skills:

• Experience working with SQL and Python to build data pipelines and perform analysis

• Experience with a variety of relational and non-relational databases and data sources

• Familiarity with data pipeline orchestration frameworks and related tools a plus (e.g. dbt)

• The ability to think conceptually, analytically and creatively; comfortable with ambiguity.

• passion for, all areas of data/analytics engineering best practices. 

• Familiarity with cloud-based advanced data and analytics environment

• Excellent problem-solving skills required

• Excellent analytical and critical thinking required

• Excellent written and verbal communication skills required

• Demonstrate Company’s Core Values

About the Company

Why choose a career at Mercury?

At Mercury, we have been guided by our purpose to help people reduce risk and overcome unexpected events for more than 60 years. We are one team with a common goal to help others. Everyone needs insurance and we can’t imagine a world without it.

Our team will encourage you to grow, make time to have fun, and work together to make great things happen. We embrace the strengths and values of each team member. We believe in having diverse perspectives where everyone is included, to serve customers from all walks of life.

We care about our people, and we mean it. We reward our talented professionals with a competitive salary, bonus potential, and a variety of benefits to help our team members reach their health, retirement, and professional goals.

 

Learn more about us here: https://www.mercuryinsurance.com/about/careers

Perks and Benefits

We offer many great ben