Data Analyst
Linjer
*** We can sponsor visas for qualified candidates! ***
About Linjer
Founded in 2014, Linjer is a design studio with Scandinavian roots dedicated to creating timeless, high-quality jewelry, bags, and watches.
Frustrated by the limited options between fast fashion and overpriced luxury, we partner directly with top suppliers to deliver beautiful, well-crafted products at a fraction of traditional luxury prices.
We are committed to thoughtful design and sustainable practices, using recycled metals, ethically sourced gemstones, and conflict-free, lab-grown diamonds.
Our company is rapidly scaling and we’re excited to expand our Hong Kong office by adding 10 new team members this year!
What Linjer offers
+ A multicultural and inclusive team culture
+ Talented and passionate colleagues committed to excellence
+ Work/life balance with a predictable 9am-6pm work schedule
+ The opportunity to make an impact with your work from day one
+ Exposure to entrepreneurship in a stable business growing 100%+ every year
+ Accelerated career growth opportunities for high achievers
+ Visa sponsorship for exceptional talent ready to join our family
Who we're looking for
We are seeking a Data Analyst to help us analyze and find insights in our data, identify ways to improve efficiency in our operations and strengthen our business processes.
The position is full-time in our Hong Kong office.
Responsibilities
+ Reconciling bills from suppliers and finding where they have over-charged us (and maybe even automating this)
+ Maintaining cost data in our ERP and data warehouse
+ Maintaining our revenue forecast in tandem with the paid marketing team
+ Supporting paid marketing budgeting
+ Supporting the procurement team
+ Assessing profitability of different product lines
+ Finding ways to cut costs in various areas of the business
+ Creating regular reports on the financial health of the business
Who you are
+ Professionally fluent in English
+ A mature recent graduate or you have a few years of experience (we'll adapt the role to your seniority)
+ You have strong analytical skills (we prefer people who have studied engineering, economics, finance or a related field although if you have )
+ You love working with data and solving problems
+ You are a self-starter and take initiative
+ You are coachable and dedicated to continuous personal improvement and professional growth
+ You are thorough and detail-oriented
+ You are tech literate and can learn new software with ease
+ You work well with others
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