- 经验
- 1–2 yrs
- 薪水
- —
- 职位空缺
- 1
- 发布
- 1 小时前
- Work mode
- 在办公室
- 学历
- Business school or Engineering
- Eligibility
- Professionals with a business and data-oriented profile who have 1 to 2 years of experience in management consulting, especially strategy or data consulting, and who are comfortable working in a fast-paced, digitally focused environment.
- Resume
- Required to apply
职位描述
About the company
VIVADATA is part of a new wave of data-focused service providers. The business combines data consulting with data-led digital marketing, aiming to turn information into measurable value across the full organizational journey. The company is experiencing very rapid growth.
Its consulting practice is supported by a team of more than 400 data consultants working across a wide range of offerings, including data marketing, data governance, strategy consulting, product ownership, and related areas.
Role overview
This position is centered on leading client projects while also contributing to business expansion. The team welcomes applicants from both business and technical backgrounds, especially people who want to become specialists in a defined area or operate as versatile generalists.
The environment is fast-moving and growth-oriented, so qualities such as curiosity, independence, and energy are highly valued.
The ideal profile combines commercial awareness with data knowledge, ideally gained in a digital marketing consulting setting. A solid grasp of digital technologies is expected, along with an interest in deepening expertise in the broader data and digital business landscape.
What the company is looking for
Candidates should have prior management consulting experience, preferably in strategy consulting or data consulting.
The preferred academic background is business school or engineering. The most important personal traits are intellectual curiosity, autonomy, and dynamism.
Applicants should bring a blend of business and data capabilities, with at least 1 to 2 years of experience. Familiarity with BI tools and data analysis is also required.
Understanding of digital technologies such as tracking, machine learning, RTB, big data, and platform-as-a-service solutions is expected.
Culture and values
The organization emphasizes innovation, action, and collaboration. It encourages people to contribute ideas, focus on practical execution, and grow through teamwork and shared learning.
Team and growth
The company highlights that its teams are made up of specialists and that supporting professional development and personal wellbeing is a core responsibility.
Additional information
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