What if the work you did every day could impact the lives of people you know? Or all of humanity?At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients.Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible.
Position Summary:
We are looking for a Sr Analytics Engineer with extensive experience in data visualization and analytics, along with strong proficiency in SQL for data extraction, transformation, and analysis. Advanced Python skills for data manipulation and automation are beneficial. This role involves developing interactive dashboards, building scalable reporting solutions, and collaborating with cross-functional teams to provide actionable insights that drive data-driven decision-making.
Position Responsibilities:
Collaborate with business users to gather requirements and design data-driven solutions using Tableau, Power BI, or other data visualization tools.
- Build, optimize, and maintain interactive dashboards that provide deep data exploration and analytics capabilities.
- Evaluate and incorporate new features and functionalities from reporting tools to continuously improve reporting efficiency and user experience.
- Continuously monitor and improve the performance of reporting systems, ensuring data integrity and scalability.
- Leverage Python / ML for advanced data manipulation, automation, and integration with reporting platforms to streamline processes and enhance analytics workflows.
- Document reporting processes, data flows, and user guidelines for seamless knowledge transfer and system sustainability.
- Stay up to date with emerging technologies and best practices in data analytics and visualization to continuously enhance reporting capabilities.
- All listed tasks and responsibilities are essential to this position; however, business conditions may require reasonable accommodations for additional tasks and responsibilities.
Position Requirements:
- Strong expertise in SQL for data extraction, transformation, and analysis from large datasets, including the use of stored procedures, views, and functions.
- Proficiency in Tableau and Power BI for building interactive dashboards and data exploration tools
- Python / ML skills for data manipulation, automation, and integration with reporting solutions.
- Strong knowledge and hands-on experience with relational databases such as SQL Server, MySQL, PostgreSQL, and/or cloud-based databases like Snowflake. Familiarity with integrating these databases into reporting tools for scalable, real-time analytics solutions.
- Strong communication and interpersonal skills, with the ability to collaborate effectively in a team environment.
- Business domain knowledge of supply chain, quality, manufacturing reporting is a plus
- Knowledge of SAP, SFDC, Camstar application reporting is a plus
Preferred Experience/Education/Skills:
- Bachelor’s degree in Computer Science, Data Analytics, Information Systems, or related field.
- Minimum of 5 years of experience in data analytics, reporting, and business intelligence. Prior experience in a manufacturing or engineering environment is preferred.
- Experienced in using Tableau and Power BI to develop interactive dashboards and data exploration tools in previous roles.
- Familiarity with cloud databases such as Snowflake or BigQuery is an advantage.
- Conduct exploratory data analysis (EDA) to uncover data patterns and guide stakeholders in data-driven decision-making is a plus point
Illumina believes that everyone has the ability to make an impact, and we are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information.
