Data Analyst - Data Services (Hybrid/Remote)
Japan (Hybrid) · മുഴുവൻ സമയവും
അപേക്ഷിക്കുന്ന ആദ്യയാളാകൂ
- അനുഭവം
- ഏതെങ്കിലും
- ശമ്പളം
- JPY 7,000,000 – JPY 12,000,000 / year
- ഓപ്പണിംഗുകൾ
- 1
- പോസ്റ്റ് ചെയ്തു
- 6 മണിക്കൂർ മുമ്പ്
- പ്രവർത്തന രീതി
- ഹൈബ്രിഡ്
- പുനരാരംഭിക്കുക
- അപേക്ഷിക്കാൻ നിർബന്ധം
നിങ്ങൾ എവിടെ ജോലി ചെയ്യും
ജോലി വിവരണം
Position Summary
Join a dynamic, fast-evolving technology and data intelligence firm that is a leader in AI-enabled analytics, alternative data, and digital innovation. Operating a wide-reaching digital and AI-powered platform, the company delivers sophisticated data solutions that drive content insights, consumer intelligence, and economic analysis throughout Asia and worldwide.
Role Overview
This role offers a unique chance to engage with large-scale governmental and enterprise initiatives impacting economic trend evaluation, tourism analytics, consumer behavior studies, and AI deployment projects across Japan. The Data Analyst will extract valuable insights from complex datasets to support strategic decision-making processes.
Key Responsibilities
- Interpret and analyze multifaceted data to facilitate informed decisions.
- Provide actionable intelligence to government bodies and corporate clients.
- Engage directly with stakeholders to resolve practical business issues.
- Lead analytical projects from initial data assessment to delivering strategic advice.
- Contribute to AI and predictive analytics efforts leveraging alternative data.
- Collaborate actively across business and technical teams in a cooperative setting.
Candidate Profile
- Demonstrated track record as a Data Analyst in client-focused roles.
- Experience leading or managing teams of two or more in project settings.
- Proficiency in Japanese at a business communication level.
- Strong analytical abilities with direct experience in handling vast datasets.
- Enthusiasm for problem-solving and developing customer-centric solutions.
- Capable of thriving in fast-moving, innovative workplaces.
Preferred Qualifications
- Hands-on experience with predictive analytics and model construction.
- Education or background in fields such as data science, economics, or engineering.
- Insight into consumer behavior or client data analytics.
- Familiarity with data engineering or infrastructure components.
- Master's degree or equivalent professional expertise is advantageous.
Why Join?
- Flexible work arrangements including hybrid and remote options.
- Opportunity to work on significant and high-impact projects.
- Exposure to cutting-edge AI, big data, and future analytics platforms.
- Experience a diverse and international workplace culture.
- Strong potential for advancement in an expanding global enterprise.