Sales Data Analyst Intern (Talent Pool)
Requirements at a glance
Sales Data Analyst Intern (Talent Pool) at Seven Retail is a contract role based in South Jakarta, ID. It does not mention visa sponsorship. Key skills include Python, SQL, Tableau, and Power BI. Applications are submitted through Breezy HR.
- Visa sponsorship
- Not mentioned in the posting
- Application platform
- Breezy HR
Skills in this posting
- Python
- SQL
- Tableau
- Power BI
- Excel
- CRM
Extracted automatically from the job description. Confirm details in the full posting below.
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- Sales Data Analyst Intern (Talent Pool)
Our Company
Founded in 2020, Seven Retail is a House of Brands focused on making quality lifestyle services more accessible. With over 200 centers and growing, we operate across F&B, Education, Healthcare, and Lifestyle Services.
We are on a mission to make increasingly higher quality, premium lifestyle services accessible to everyone, helping people get more out of their paycheck so everybody can experience a higher standard of living.
Ready to take the next step in your career? Join us as a Sales Data Analyst Intern and discover what you can achieve at Seven Retail. Read on to learn more!
Your Day-to-Day
- Collect, clean, and consolidate data from spreadsheets, CRM systems, sales reports, marketing platforms, and dashboards to maintain accurate and reliable datasets.
- Prepare and maintain daily, weekly, and monthly reports that track key business and operational performance metrics.
- Analyze data to identify trends, patterns, gaps, and opportunities, providing actionable insights to support business decisions.
- Create and maintain dashboards and data visualizations using tools to communicate performance effectively.
- Monitor and evaluate campaign, sales, customer, operational, and product performance, collaborating with stakeholders to improve reporting accuracy and business outcomes.
What We're Looking For
- Final-year student or recent graduate in Statistics, Mathematics, Data Science, Computer Science, Business, Economics, Engineering, or a related field.
- Proficient in Microsoft Excel or Google Sheets, including formulas, pivot tables, charts, and lookup functions for data analysis and reporting.
- Familiar with SQL and exposure to Python, Tableau, Looker Studio, Power BI, or similar analytics tools through internships, academic projects, or personal projects.
- Strong analytical and problem-solving skills with the ability to interpret data and translate findings into clear business insights and recommendations.
- Detail-oriented, comfortable working with large datasets and managing multiple priorities in a fast-paced environment.
- Strong communication skills, a collaborative mindset, and a willingness to learn new tools and technologies.