HOYA Corporation
Hoya Corporation is a global technology company based in Tokyo, Japan, and the leading supplier of innovative and indispensable high-tech products and services based upon its advanced optics technologies. Hoya is active in four fields of business: Electronics, Imaging, Health Care and Medical. Hoya has over 100 subsidiaries and affiliates, and employs more than 36,500 people worldwide.
HOYA Surgical Optics
At Hoya Surgical Optics, our mission is to provide precision optics solutions through creativity, imagination, and relentless customer focus. Leveraging more than 70 years of excellence in optics design and innovation that has been the benchmark of the Hoya Corporation, Hoya Surgical Optics provides ophthalmologists with the products and services they need to help improve vision and quality of life for their patients.
Hoya Surgical Optics focuses on intraocular lenses (artificial crystalline lenses) for cataract patients who had their own crystalline lenses removed. This enables people who once suffered from cataracts to see normally again. We are now the world's 4th largest IOL manufacturer and distributor. We are deeply committed to advancing ophthalmic surgery by combining surgeons’ clinical and professional knowledge with our optics research and development. The result is that our precision optics continually delivers quantitatively measurable improvements in performance.
HSO way of working
In fulfilling our roles, we are
- Accountable for our own capabilities and development.
- Focused on delivering results without excuses, and
- Alive to the sensitivities, risk, and impact we have on others and work in a way that helps others do their work effectively.
We are looking for people who
- See beyond self and impact focused.
- Consider the needs, challenges, and objectives of every person they interact with
- Exhibit positive reinforcement to help others succeed.
Job Description
About the role
Job Title: Data Analytics Intern
Works closely with and have impact on: Finance, Supply Chain, Commercial, IT
Reports to: Global FP&A Manager
Function: Finance
Internship Duration: Minimum 24 weeks
Role Overview
We are looking for an Intern with an interest in Data Analytics, Data Science, or Analytics Engineering to support the team in building scalable analytics solutions and improving reporting processes.
This role sits at the intersection of FP&A, Data, and Technology, offering hands-on exposure to modern data platforms such as Microsoft Fabric, Power BI, and automation tools.
The intern will work with real business datasets and contribute to building production-level data models and pipelines, following a structured Medallion Architecture (Bronze / Silver / Gold) approach.
Duties and Responsibilities
- Develop Power BI dashboards for business, financial, and operational reporting
- Apply and maintain Medallion Architecture principles (Bronze / Silver / Gold layers)
- Build Lakehouse / SQL Warehouse / Semantic Models for end-user consumption
- Perform ETL / ELT processes using Power Query, Dataflows, SQL, or Notebooks
- Develop data models (star schema) to support scalable and consistent reporting
- Identify and implement automation opportunities using Power Automate or Python
- Perform data analysis, communicate insights clearly, and support business decision-making
- Collaborate with stakeholders to understand requirements and translate them into data solutions
- Continuously learn and apply new tools and techniques to improve analytics
- Project-based 50%, Operational 30%, Ad hoc work 20%
Requirements
Experience
- No prior work experience required
- Relevant project work, internships, or portfolio (e.g., dashboards, data pipelines, automation) will be advantageous
Skills/Accreditations
Some tools, skills and experiences you will be working with:
- Power BI (DAX, data modelling) and Power Query (M)
- SQL (T-SQL) and/or Python (including PySpark) and/or Spark Scala
- Microsoft Fabric (Pipelines, Lakehouse, Semantic Models)
- Excel, Power BI and Analytics End Point
- Strong analytical thinking and structured problem-solving
- Ability to communicate insights clearly and logically
- Curiosity, initiative, and self-driven learning mindset
Academic Qualifications
- Currently enrolled in an undergraduate or graduate program, in the field of Data Science, Data / Business Analytics, Computer Science, or a related discipline. Postgraduates with relevant experience are also welcomed.
Kindly note that only shortlisted candidates will be notified.
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