Accenture is a company serving clients in more than 120 countries. Accenture collaborates with the leading and best recognizable companies, supporting them in the process of business transformation by delivering measurable outcomes through its five practices Strategy, Consulting, Digital, Technology and Operations.
Accenture Research is a global, award-winning team providing insights and analysis to Accenture and its clients throughout the world. Joining Accenture Research translates into continual opportunities to expand on what you can do. Our researchers come together with a wide variety of skills and backgrounds to create talented teams of problem-solvers. We hope you’ll want to join us!
- Build data science research assets that differentiate Accenture Research in the market
- Develop and write research proposals and market and sell the capability to clients internally. Collaborate in raising awareness and understanding of data science research tools and outputs in Accenture and Accenture Research (text analytics, sentiment analysis, data-wrangling, machine learning, web-scraping etc.)
- Assist in growing data science skills in the team, ie. organizing learning activities, create x-pollination opportunities
- Interact and collaborate with economists and industry researchers
- Help develop a strategy for boosting the role of data science in current and future thought leadership for Accenture Research
- Represent Accenture Research in client-facing situation, for instance in proposals and live presentations where a core part of the research solution resides in data science
We are looking for someone who has a comprehensive skill set:
1) Database Management and Data Structuring
- Expert in relational databases and Big Data / analytics and able to advises on ideal data structures
- Able to apply scripting language for ETL (extract, transform, load) processes on structured and non-structured databases
- Analyze, interpret and make sense of complex data on various formats (text, numeric, image, etc.) and provide solutions to data challenges
- Validate data flows and prepare ETL processes according to business requirements
- Incorporate business requirements into data science research design specifications
- Develops data warehouse models and prepare reports for end users
2) Statistical Analysis:
- Solid knowledge of statistical techniques is expected
- Knowledge of an analysis tools such as R, SAS, SPSS, EVIEWS, Matlab or Mathematica
- Proficient in Tableau and R interface with Tableau
- Ability to apply statistical and forecasting techniques
“Soft” skills:
- Curious, data fan with strong research drive
- Solution oriented: Pragmatic approach to research problems
- Proven ability to work in teams and intercultural environments as well as flexibility to work with team mates in different time zones
- Strong people developer/teacher/coach
- Entrepreneurial attitude. Creative and independent approach to research problems
- Strong professional qualities: client focus, decisiveness, integrity and resilience to stress against stretch goals and deadlines
- Strong, business oriented communications skills (focus on actionable intelligence) and good interpersonal skills in one-to-one and team settings
- Interesting and stable position in a global company
- Professional and international work environment
- Opportunities to build and extend professional skills
- Access to advanced knowledge bases and to advices of international experts
- Friendly workplace environment, team bonding events, ability to participate in after work activities
- Competitive salary and benefits package: private healthcare, additional life insurances, lunch vouchers, sport packages