Senior Data Analyst (all genders)

Eraneos; Singapore; Remote; USD 70,000 - 90,000; Full time

Job summary

A leading company is seeking a Senior Data Analyst to develop data-driven solutions for major business challenges. You will utilize your analytical skills to create reports, manage data projects, and collaborate with clients. The role offers flexible working conditions and numerous benefits in an international environment.

Benefits

Flexible working hours

Home office

Company bike subsidies

Fitness membership subsidies

Daily fresh fruit and snacks

Qualifications

• At least 3 years of professional experience in industry or consulting.
• Proficiency in German (at least B2) and English communication skills.

Responsibilities

• Develop data-based solutions for central business issues.
• Create regular, informative reports to support management.

Skills

Data Analysis

Communication

Customer Orientation

Education

Degree in (business) computer science

Degree in (business) engineering

Degree in (business) mathematics

Degree in statistics

Tools

Python

R

SQL

Tableau

Power BI

Google Looker

Job description

We are a technical, implementation-oriented spin-off of a global management consultancy. Our clients are primarily DAX and Fortune Global 500 companies, which we advise on issues in the areas of analytics, big data and machine learning. Within the group, we develop individual and data-driven solutions to transform our clients into AI-powered companies. We offer an international working environment with agile teams, creative startup methods, above-average remuneration, and numerous additional benefits. Our HQ is in Hamburg, with hub locations in Munich, Berlin, Frankfurt, Düsseldorf, and Stuttgart, ensuring all colleagues are integrated into our team of experts across Germany.

As a Senior Data Analyst, you will:

1. Develop data-based solutions for central business issues using business and data analytics.
2. Track down, link, and visualize data effectively.
3. Create regular, informative reports to support management in important business decisions.
4. Develop conceptual proposals and implement them together with clients.
5. Structure and control data (sub)projects, taking on an organizational role within the team.
6. Utilize your strong communication skills and customer orientation to ensure project success.

Requirements:

1. At least 3 years of professional experience in industry or consulting in business or data analytics.
2. A degree in (business) computer science, (business) engineering, (business) mathematics, statistics, or a comparable field.
3. Strong curiosity and passion for data and analysis.
4. Ideally, programming skills in Python, R, HTML, CSS, JavaScript, and data modeling abilities in SQL, Spark, Julia.
5. Knowledge of enterprise, cloud, or on-premise architecture (AWS, Google Cloud, Azure) is advantageous.
6. Experience with visualization tools such as Tableau, Qlik, Power BI, or Google Looker.
7. Proficiency in German (at least B2) and English communication skills.
8. Willingness to travel occasionally to customer sites.
9. Team-oriented mindset with empathy and excellent communication skills.

What we offer:

• A varied job in the AI environment.
• Flexible working hours and locations, including home office.
• Flat hierarchies, short communication channels, and a supportive, international team.
• Company-wide international events.
• Company bike and fitness membership subsidies (EGYM Wellpass).
• Targeted professional and personal development training.
• Central locations in Hamburg, Munich, and Düsseldorf with good transport links, plus hub locations across Germany.
• Daily fresh fruit, quality coffee, snacks, soft drinks, and after-work beers.

If you're interested, we look forward to receiving your application!

Carolin Hilden - ******** - ********

We prioritize diversity and inclusivity, welcoming applicants regardless of origin, nationality, sexual orientation, religion, gender identity, age, disability, or other aspects of diversity.

Our HR team is happy to provide further information and looks forward to receiving your CV and LinkedIn/Xing profile.

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