Senior Data Analyst
About The Position
We are seeking a highly skilled and motivated Senior Data Analyst to join the Enterprise Strategy & Growth Initiatives team. In this role, you will play a crucial part in designing, building, and maintaining the feature engineering pipelines that power our predictive & descriptive data science use cases. Your expertise will help us transform raw data into actionable insights, ensuring that our data solutions are robust, scalable and efficient. The ideal candidate will have a passion for data, thrive in a collaborative environment, and are excited about leveraging cutting-edge technologies to drive business success alongside fellow data analysts, engineers, and scientists.
Requirements
- Bachelor’s degree in STEM related field or equivalent.
- At least 5 years of experience in Data/Feature/ML Engineering or similar role.
- Strong understanding of engineering principles, best practices, and software development life cycle.
- Proficiency in SQL, Python, PySpark and bash scripts.
- Knowledge of Databricks.
- Experience with the design and development of ETL/ELT process.
- Experience working in a Data warehouse.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills to work across multiple groups within the organization.
Nice To Haves
- Experience in the insurance industry
- Experience working with Data Science
- Experience working with/creating point-in-time data assets
- Experience with Databricks Workflows
- Experience with AWS Tools and Services
Responsibilities
- Design, build and maintain robust & scalable data pipelines to feed descriptive analytics and predictive analytics use cases.
- Construct meaningful data assets sourced from structured, semi structured, and unstructured data.
- Ensure data quality, accuracy and integrity of the data assets created.
- Automate the data pipelines end to end.
- Participate in data modeling and schema design.
- Work closely with business stakeholders and data scientists to understand the business process and data needs to translate them into an effective data solution.
- Collaborate with Stakeholders, Analysts, and Data Scientists to understand the data requirements & deliver optimal solutions (Training, Testing, and Live Scoring)
- Collaborate with cross-functional teams to identify the right data sources for the use cases.
- Perform data discovery and analysis on various data sources.
- Find and tell the compelling narrative of the data that aligns to the intended audience.
- Create and maintain Data Dictionary for the data pipelines.
- Participate in code reviews and documentation efforts to maintain high-quality code and data documentation.
Benefits
- At Guardian, you’ll have the support and flexibility to achieve your professional and personal goals.
- Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards.
- As part of Guardian’s Purpose – to inspire well-being – we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues.
- Explore our company benefits at www.guardianlife.com/careers/corporate/benefits.
- Benefits apply to full-time eligible employees.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
