- 经验
- 1–3 yrs
- 薪水
- —
- 职位空缺
- 1
- 发布
- 5 天前
- Work mode
- 在办公室
- 学历
- Bachelor's degree
- Eligibility
- Candidates with a bachelor's degree in a relevant quantitative or business field and 1–3 years of experience in data analysis, reporting, or business intelligence can apply. Applicants with added exposure to Python, R, statistics, ETL, data warehousing, or analytics certifications are preferred.
- Resume
- Required to apply
职位描述
Role overview
Cosmétique et Parfum International is hiring a Data Insights Analyst based in the United States. This is a full-time, on-site position for someone who can turn complex information into practical business intelligence that helps guide planning, performance improvement, and growth.
What you will do
- Work with data from different sources to surface patterns, trends, and commercial opportunities.
- Create, update, and manage dashboards, recurring reports, and KPI tracking tools.
- Convert detailed analytical output into clear takeaways that business stakeholders can act on.
- Contribute data-backed input to planning processes and decision-making discussions.
- Run one-off analyses to answer operational, financial, and strategic questions.
- Partner with teams across the business to understand reporting needs and define analytical requirements.
- Track performance indicators and highlight opportunities for improvement.
- Maintain high standards of accuracy, consistency, and data integrity across reporting outputs.
- Share findings and recommendations with leadership and other stakeholders.
- Support governance efforts and ongoing process improvements related to data.
Required background
- A bachelor's degree in Data Analytics, Statistics, Mathematics, Economics, Business Analytics, Computer Science, or a closely related discipline.
- Between 1 and 3 years of experience in data analysis, business intelligence, reporting, or a similar analytical function.
- Solid SQL knowledge for extracting and examining data.
- Advanced Excel capability, including PivotTables, formulas, and analysis features.
- Hands-on exposure to Power BI, Tableau, Looker, or comparable visualization and reporting platforms.
- Strong problem-solving ability, analytical judgment, and critical thinking.
- Good verbal and written communication, including presentation skills.
- Comfort handling several projects and deadlines at the same time.
Preferred experience
- Familiarity with Python or R for analysis and automation is an advantage.
- Understanding of statistical methods and data modeling is preferred.
- Exposure to data warehousing, ETL workflows, and cloud-based environments is helpful.
- Experience supporting business strategy, operations, marketing, or finance functions is desirable.
- Professional certifications in analytics, business intelligence, or data management are a plus.