Senior Data Analyst

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.

Must Have

• Design, build and maintain robust & scalable data pipelines.
• Construct meaningful data assets from structured, semi-structured, and unstructured data.
• Ensure data quality, accuracy and integrity of data assets.
• Automate data pipelines end to end.
• Participate in data modeling and schema design.
• Work closely with business stakeholders and data scientists to understand business processes and data needs.
• Collaborate with cross-functional teams to identify data sources.
• Perform data discovery and analysis on various data sources.
• Create and maintain Data Dictionary for data pipelines.
• Participate in code reviews and documentation efforts.
• 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.

Good to Have

• 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.

Perks & Benefits

• Support and flexibility to achieve professional and personal goals.
• Skill-building opportunities.
• Leadership development opportunities.
• Philanthropic opportunities.
• Opportunities to build communities and grow your career.
• Contemporary, supportive, flexible, and inclusive benefits and resources.

Senior Data Analyst

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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.

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.

Qualifications:

• 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

Location:

• Three days a week at a Guardian office in Bethlehem, PA or New York, NY.

Salary Range:

$79,310.00 - $130,295.00

The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation.

Our Promise

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.

Inspire Well-Being

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. Interns are not eligible for most Company benefits.

Equal Employment Opportunity

Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law.

Accommodations

Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact MyHR@glic.com. Please note: this resource is for accommodation requests only. For all other inquires related to your application and careers at Guardian, refer to the Guardian Careers site.

Visa Sponsorship

Guardian is not currently or in the foreseeable future sponsoring employment visas. In order to be a successful applicant. you must be legally authorized to work in the United States, without the need for employer sponsorship.

Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.

About Guardian

Every day, Guardian helps our 29 million customers realize their dreams through a range of insurance and financial products and services. Our Purpose, to inspire well-being, guides our dedication to the colleagues, consumers, and communities we serve. We know that people count, and we go above and beyond to prepare them for the life they want to live, focusing on their overall well-being — mind, body, and wallet. As one of the largest mutual insurance companies, we put our customers first. Behind every bright future is a GuardianTM. Learn more about Guardian at guardianlife.com

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Visa Sponsorship:

Guardian Life is not currently or in the foreseeable future sponsoring employment visas. In order to be a successful applicant, you must be legally authorized to work in the United States, without the need for employer sponsorship.

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