Responsibilities
Project-Based Approach:
- Flexibility in Duration and Scope: Projects will range from 1 month to half a year, offering a diverse spectrum of experiences and challenges.
- Tailored Project Assignments: Recognizing that one size doesn’t fit all, we’ll collaboratively identify projects that best align with your interests and strengths. This personalized approach ensures that you’re engaged and invested in your work, maximizing both learning and impact.
- Perform data analytics, cleaning, processing, and model building as part of ongoing project work.
- Develop proficiency in Python programming to support data analysis tasks.
- Utilize analytical tools provided by DMAC for market research in the energy sector.
- Learn and apply financial and market modelling techniques to generate insights for strategic decision-making.
- Embrace remote work while also engaging in events.
Requirements
Qualifications:
- In seeking our ideal candidates, we place a high value on agility and adaptability. We’re looking for individuals who are equally comfortable and efficient working independently, starting projects from scratch, as well as collaborating effectively within teams. This dual capability to excel both solo and in a group, dynamic is key to thriving in our diverse and fast-paced project environment.
- Ongoing university studies, Physics, Engineering Physics, IT, Economics.
- Eagerness to engage with and learn from hands-on tasks in data analysis and modelling.
- Strong analytical, problem-solving, and communication skills.
- An intrinsic motivation to grow into roles such as data scientist, quant, or market analyst.
What we offer
What We Offer:
- The opportunity to gain hands-on experience with the support of a structured learning environment.
- An opportunity to participate in training courses to enhance your skills in line with your project work.
- A remote work arrangement that provides flexibility and is balanced with regular in-person social events.
- A career trajectory that is geared towards future-leading roles in data and analytics.
- Our recruitment strategy is centered around inclusivity and opportunity. We strive to give a broad range of candidates the chance to collaborate with us, recognizing the unique strengths and perspectives each person brings. Our approach is to initially involve candidates in various projects, allowing them to showcase their skills and adaptability in different contexts.
- Based on the performance and preferences demonstrated during these projects, we engage in a collaborative decision-making process with each candidate. This involves identifying the tasks and roles that best align with their strengths and interests. Our goal is to ensure that every team member is not only well-suited to their responsibilities but also feels a sense of fulfilment and engagement in their work.
- By adopting this flexible and responsive approach, we aim to build a team that is diverse, skilled, and highly motivated, with each member contributing to their fullest potential.
Company info
Student work: Joining to our partner as a Freelancer Junior Analyst and thereby participate in the achievement of the goals set by DMAC, you will focus on core tasks such as data analytics, data cleaning, data processing, model building, and Python programming. These tasks are designed to continuously build up your experience, setting the foundation for a future career in data science, quantitative analysis, or market analysis. You will have the chance to participate in training courses necessary for your development in these areas.
How to apply
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