- 경험
- 1~3세
- 샐러리
- —
- 채용 공고
- 1
- 게시됨
- 2시간 전
- 작업 모드
- 사무실에서
- 교육
- 학사 학위
- 재개하다
- 신청 시 필수 사항
당신이 일하게 될 곳
직무 설명
Role Overview
The Data Analyst (H/F) is tasked with converting intricate datasets into straightforward, actionable insights that aid strategic planning and operational enhancements. This role entails collecting data from diverse sources, executing detailed analyses, and communicating results to stakeholders organization-wide. The analyst is responsible for ensuring data quality, creating reporting tools, and supporting the creation of data-driven strategies. The ideal candidate enjoys critical thinking, problem-solving, and collaborating with different teams.
Key Responsibilities
- Gather, cleanse, and structure data from multiple databases and systems to maintain dataset accuracy.
- Conduct exploratory and sophisticated analyses to discover trends, opportunities, and areas for improvement.
- Create and manage dashboards, automated reporting, and visualization tools for internal departments.
- Work closely with teams like marketing, operations, finance, and product to identify analytical requirements.
- Monitor key performance indicators (KPIs) and supply regular status reports.
- Convert complex analysis into clear, comprehensible insights for decision-makers.
- Contribute to building forecasting models and analytical techniques.
- Maintain documentation of data processes, standards, and definitions to enhance data governance.
- Perform quality assessments on datasets and suggest enhancements for data reliability.
- Keep up-to-date on new analytics tools, methods, and best practices.
Qualifications and Requirements
- Bachelor’s degree in Data Science, Mathematics, Statistics, Computer Science, Economics, or a related field.
- One to three years of experience in data analysis, business intelligence, or comparable roles.
- Proficiency in tools such as SQL, Excel, Python, or R for data handling and analysis.
- Experience using visualization software like Tableau, Power BI, or similar platforms.
- Strong grasp of analytical techniques, statistical principles, and data modeling approaches.
- Exceptional attention to detail, organizational prowess, and problem-solving abilities.
- Ability to communicate complex analyses clearly to audiences with varying technical backgrounds.
- Capable of managing multiple priorities and meeting deadlines in a dynamic setting.
- Excellent teamwork and interpersonal communication skills for effective collaboration.
- Motivated self-starter eager to learn, enhance processes, and foster a data-centric culture.
Summary
This position is crucial in facilitating evidence-based decisions throughout the company. By analyzing data, generating meaningful insights, and liaising with key departments, the analyst drives organizational growth, operational efficiency, and strategic focus. It suits meticulous, analytical professionals focused on delivering precise and influential insights.