Deskripsi pekerjaan Data Analyst Miniletics
Location: Surabaya
Department: Data
Miniletics is a sports start-up apparel company that sells goods directly to consumers through the internet (E-Commerce). Our vision is to make our own brands to be Indonesian brands that are internationally acknowledged and recognized as not only sports brands but also household brands. We believe that putting in the sweat and progress today prepares us for tomorrow. So, we give people the gears and tools they need to reach further, go faster, be stronger, bigger change through small progress.
Our instagram : @miniletics @galeriolahragastore
Are you our next Data Analyst? In your role, you’ll be responsible for reporting on the performance of our team and assist in utilising data to help drive team activity and strategy.
Sound like you? Here’s the role up close:
WHAT YOU'LL BE DOING:
- Provide actionable recommendations on insights generated from our vast data sets which will help inform & optimize our team strategy.
- Manage master data (creation, updates and deletion).
- Import, Process and Extract insight from various data sources
- Develop marketing dashboard, customer profile and others that can improve the business
- Provide assistance to other division to automate task and boost productivity
- Manage data warehouse and increase its efficiency
- Work with the data function to ensure maintenance, cleanliness, and readiness of key data sources.
- Identifying potential opportunities for new data sources that could be integrated into our current methods of work to provide additional depth of analysis. In addition, working with the data team to ensure the new data sources are in the correct format for use by the entire insight function.
QUALIFICATIONS FOR GRAPHIC DESIGNER:
- Have min 1-2 year experience as Data Analyst or Business Intelligence
- Bachelor's degree from an accredited university in Business or Computer science, but others are welcome
- Solution driven and ability to work collaboratively as part of a team
- Proficient in programming language (Python)
- Have experience in big query or proficient in SQL or other query language
- Proficient in visualization tools (data studio/tableau/etc.) is a bonus
- Able to communicate insights (written, verbally, by visual)
