Senior Data and Analytics Engineer

At MJH Life Sciences our success is measured by your success! If you set your standards high and want to contribute to a winning team, we’ll provide you with every opportunity to help grow our company and your career. Our associates come from all backgrounds, sharing one key quality: determination to succeed. We value being Service Focused, having a Passion for Winning, Innovation, Respect, Integrity, and Teamwork. Nothing means more to us than hiring people with these attributes. If you believe you’re right for the job, this is the place to prove it!

Company

MJH Life Sciences is the largest privately held medical media company in North America.

At MJH Life Sciences our success is measured by your success! If you set your standards high and want to contribute to a winning team, we’ll provide you with every opportunity to help grow our company and your career. Our associates come from all backgrounds, sharing one key quality: determination to succeed. We value being Service Focused, having a Passion for Winning, Innovation, Respect, Integrity, and Teamwork. Nothing means more to us than hiring people with these attributes. If you believe you’re right for the job, this is the place to prove it!

Job Title: Senior Analytics Engineer

Reports to: Data Analytics Manager

Job Description

As a Senior Analytics Engineer at MJH, you will model data and work closely with data architects, data analysts, data product managers, data scientists, and other analytics engineers to provide clean, accurate datasets for use by the team and business stakeholders. You will spend your time transforming, testing, deploying, and documenting data. You will be the bridge between the raw data our Data Integrations team lands in the data lake and our analytical and business stakeholders. As the person most directly responsible for materializing critical data for end users, you will apply software engineering best practices, including version control and continuous integration to the analytics code base.

Job Responsibilities

• Assist the Data Analytics Manager in developing a highly scalable data warehouse and analytics platform that will assist with improved business outcomes.
• Assist with defining and developing the enterprise data architecture and best practices around processes, standards, methodologies, and data modeling.
• Collaborate with stakeholders to understand user needs and use cases to develop clear and compelling data models that support interactive and dynamic visualizations.
• Use dbt and Snowflake to iteratively deliver usable data models that enable analyst workflows and reverse ETL processes.
• Implement test-driven processes to ensure data accuracy.
• Assist project management in developing requirements and delivery expectations.
• When necessary, provide documentation and training to stakeholders to foster increased understanding and utilization of the delivered functionality.
• Become a subject matter expert on core business rules and systems.
• Be a champion of data privacy and quality.
• Perform other duties as assigned.

Desired Skills and Experience

• 8+ years of experience as an analytics engineer, data engineer, data analyst, or ETL developer.
• 3 + years of experience in Snowflake with exposure to administration
• 2 + years of experience in DBT with advanced level like using jinja templates and creating macros.
• 3+ years of experience in GitHub implementing CICD pipelines for data engineering.
• 3+ years of experience in Python or similar programming languages.
• Experience in advanced analytics like data science, AI/ML is a plus.
• Experience with any reporting tool like Tableau.
• Advanced proficiency in SQL and data modeling strategies.
• Previous experience with ETL/ELT principles and data warehousing concepts.
• Great team player with the ability to interact and communicate with all levels of management.
• Excellent organizational, prioritization, and independent decision-making skills.
• Communicate clearly using excellent written and verbal skills.
• Experience with Segment, Fivetran is a plus.
• Familiarity with modeling strategies such as snowflake, star, OBT, and relational is preferred.
• Experience working in an Agile environment is preferred.
• dbt certification would be strongly preferred.
• Continuous learning mindset.
• Bachelor’s degree preferred.

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MJH Life Sciences provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. All employees of MJH Life Sciences are employed “At Will.” This means that either the employee or the Company is free to end the employment relationship at any time, for any reason, with or without cause and with or without notice.