Roland Berger - Internship analytics consulting

Deadline: As soon as possible

Internships

Companies

Location(s)

Germany

All German offices.

Overview

As Analytics Consultant you will be part of our highly engaged and collaborative AI & Data expert team at RB Digital and engage with exciting projects across all industries. Combining strategic and business insights with the latest analytical techniques, we help our clients to solve critical problems in a data-driven way.

Details

In collaboration with our team of Data Scientist and Data Engineers, your task is to develop innovative data-based products and quantitative-analytical solutions for our clients. Your responsibility is to ensure that implemented solutions serve the business needs and are embedded into the client's business processes and structures. Further, you will support the business side of C-level strategy consulting on various topics that have a quantitative, data-oriented and technical focus.

You will help them identify and create value from data and data analytics. You work with state-of-the-art quantitative methods and modeling techniques. Their approach is always goal and customer oriented as well as objective and scientific.

Support our team in Hamburg, Berlin, Dusseldorf, Frankfurt, Stuttgart or Munich for a period of 4-6 months.

Opportunity is About

Computers & IT Economics & Business Engineering

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Eligibility

Candidates should be from:

Afghanistan Albania Algeria Andorra Angola Antigua and Barbuda Argentina Armenia Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil Brunei Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Central African Republic Chad Chile China Colombia Comoros Congo: Democratic Republic Congo: Republic Cook Islands Costa Rica Croatia Cuba Cyprus Czech Republic Denmark Djibouti Dominica Dominican Republic East Timor Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Fiji Finland France Gabon Gambia Georgia Germany Ghana Gibraltar Greece Grenada Guatemala Guinea Guinea-Bissau Guyana Haiti Honduras Hong Kong Hungary Iceland India Indonesia Iran Iraq Ireland Israel Italy Ivory Coast Jamaica Japan Jordan Kazakhstan Kenya Kiribati Korea, North Korea, South Kosovo UN1244 (*not recognized by majority of countries) Kuwait Kyrgyzstan Laos Latvia Lebanon Lesotho Liberia Libya Liechtenstein Lithuania Luxembourg Macau North Macedonia Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Mauritania Mauritius Mexico Micronesia Moldova Monaco Mongolia Montenegro Morocco Mozambique Myanmar Namibia Nauru Nepal Netherlands New Zealand Nicaragua Niger Nigeria Niue Norway Oman Pakistan Palau Palestinian Authority Panama Papua New Guinea Paraguay Peru Philippines Poland Portugal Puerto Rico Qatar Romania Russia Rwanda Saint Kitts and Nevis Saint Lucia Saint Vincent and the Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Slovakia Slovenia Solomon Islands Somalia South Africa South Sudan Spain Sri Lanka Sudan Suriname Swaziland Sweden Switzerland Syria Taiwan Tajikistan Tanzania Thailand Togo Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Tuvalu Uganda Ukraine United Arab Emirates United Kingdom United States of America Uruguay Uzbekistan Vanuatu Vatican City Venezuela Vietnam Western Sahara Yemen Zambia Zimbabwe

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Description of Ideal Candidate

Qualifications

Currently enrolled in a degree in Business Informatics / Engineering / Computer Science / Economics / Statistics / Computer Science or a related field
Strategic and entrepreneurial thinking, strong team player
Practical experience and methodological understanding in econometrics/ statistics / machine-learning / data transformation and visualization
Strong abilities in processing large volumes of data and extracting data from data bases (e.g. Postgres, SQL)
Good command in at least one programming language (preferably R or Python)
First experience in creating meaningful dashboards and visualizations that help our clients to make their business decisions in tools like Tableau, Power-BI and Qlik Sense
Strong level of client-facing skills and the ability to communicate complex analytical concepts with confidence to a non-technical audience
Very good knowledge of English (spoken and written); good knowledge of German is beneficial

Dates

Deadline: As soon as possible

Cost/funding for participants

Fully Funded

Roland Berger offers all interns in DACH a large variety of benefits – from career development to wellbeing.

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