Deskripsi Pekerjaan
Join UniTAG Store and be part of a forward-thinking team where data is the key to unlocking growth. We are seeking a highly skilled Senior Data Analyst to lead our analytical initiatives and transform raw data into actionable business strategies. If you have a passion for uncovering trends and a knack for solving complex problems, this is the perfect opportunity to advance your career in a dynamic retail environment.
As a Senior Data Analyst, you will play a pivotal role in shaping our business direction by providing deep insights into customer behavior, sales performance, and operational efficiency. You will work closely with cross-functional teams to define metrics, build robust dashboards, and drive data-informed decisions.
Tanggung Jawab
- Lead the end-to-end data analysis process, from data collection and cleaning to final reporting and presentation.
- Design and maintain interactive dashboards using tools like Tableau, Power BI, or Looker to visualize key performance indicators (KPIs).
- Write complex SQL queries to extract and manipulate large datasets from various sources.
- Perform statistical analysis and A/B testing to evaluate the effectiveness of marketing campaigns and product features.
- Communicate complex data findings to non-technical stakeholders in a clear, concise, and persuasive manner.
- Collaborate with product and engineering teams to define data requirements and improve data architecture.
- Identify trends, patterns, and opportunities for process improvement to optimize business performance.
Kualifikasi
- Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
- Minimum of 3-5 years of proven experience in Data Analysis, Business Intelligence, or a similar role.
- Strong proficiency in SQL (PostgreSQL, MySQL, or Redshift) and scripting languages like Python or R.
- Expertise in data visualization tools, specifically Tableau or Power BI.
- Excellent problem-solving skills with a keen eye for detail and accuracy.
- Strong communication skills, with the ability to translate data insights into strategic business recommendations.
- Experience in the retail, e-commerce, or FMCG industry is highly preferred.