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- Tasks: Analyze market trends and forecast revenues for exciting games using data science techniques.
- Company: Join a dynamic games studio that values data-driven decision-making and collaboration.
- Benefits: Enjoy a collaborative work environment with opportunities for continuous learning and growth.
- Why this job: Make a real impact in the gaming industry while working with passionate teams and innovative projects.
- Qualifications: Strong analytical skills, proficiency in SQL and Python, and experience in financial analysis are essential.
- Other info: Bonus points for experience in gaming and advanced forecasting techniques!
The predicted salary is between 36000 - 60000 £ per year.
Responsibilities:
- Own the responsibility of forecasting including revenues for our current and unreleased games, utilising data science techniques to analyse market dynamics, business trends, seasonality and competitive landscape, including new content and feature updates, providing insight on the financial impact.
- Prepare financial modelling that meets the needs of the business, taking into account various dependencies in order to deliver accurate forecasts in relation to revenue, marketing spend and EBITDA.
- Gain a deep understanding of the business, our games, the free to play gaming model including the various dependencies such as retention, conversion, LiveOps, seasonality etc.
- Be responsible for regular reporting to the company and the MTG group. Use Data Visualisation tools for comprehensive Key Performance Indicator (KPI) reporting, analysis of key business trends, and actual versus forecast variance analysis encompassing proactive commentary on expected business performance.
- Ensure efficient collaboration and communication with the game teams in order to prepare the forecasts and reports that meet their needs and take into account their valuable contribution.
- Work in a highly impactful role at a games studio that values data, through collaboration with the game teams to analyse data and enable them to make data-driven decisions.
- Perform Scenario-modelling, assessing the impact of changes in marketing spend, player behaviour and game updates, to assist in risk management and resource allocation.
- Support the finance team and other stakeholders with special projects and requests that require financial and operational analysis.
Requirements:
- You’re deeply comfortable with numbers. Your instinctive approach to any problem is to quantify it first. You always notice when news reports fail to contextualise numbers.
- Demonstrable experience in statistical and/or predictive modelling.
- Your analysis has led to quantifiable improvements.
- Proficiency in SQL and Python.
- Strong passion for continuous learning and self-improvement. Ability to grasp ideas and concepts quickly.
- Ability to collaborate, working across departments and levels of the organization and with multiple stakeholders.
- Have the ability to communicate technical information to non-technical people and have patience in helping others understand.
- Previous experience working in a similar role, as an Analyst or FP&A background.
- Ability to think critically and spot data anomalies, trends, or deviations – and then introduce strategies for improvement.
- Confident presenting analysis and able to communicate and tailor presentations to different audiences.
- Ability to quickly analyze needs, find best practice solutions and build trusted networks to accomplish goals. Proactive self-starter, independently driving research, analysis, and solutions.
Bonus Points:
- Experience with advanced time series forecasting techniques.
- Experience with Free-to-Play and/or GAAS business models.
- Experience with video games, with an understanding of gaming product features, etc.
- Proficiency with Excel, Tableau and/or PowerBI.
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Business Analyst employer: Musikwoche
Contact Detail:
Musikwoche Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Analyst
✨Tip Number 1
Familiarize yourself with the free-to-play gaming model and its key metrics. Understanding retention, conversion rates, and LiveOps will give you an edge in discussions during interviews.
✨Tip Number 2
Brush up on your SQL and Python skills, as these are crucial for data analysis in this role. Consider working on small projects or exercises that showcase your ability to manipulate and analyze data effectively.
✨Tip Number 3
Prepare to discuss your previous analytical experiences and how they led to quantifiable improvements. Be ready to share specific examples that highlight your problem-solving skills and critical thinking.
✨Tip Number 4
Practice presenting your analysis to different audiences. Being able to communicate complex data insights in a clear and engaging way is essential, so consider doing mock presentations to friends or colleagues.
We think you need these skills to ace Business Analyst
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Business Analyst position. Familiarize yourself with key concepts like forecasting, data science techniques, and the free-to-play gaming model.
Highlight Relevant Experience: In your application, emphasize your experience with statistical and predictive modeling, SQL, and Python. Provide specific examples of how your analysis has led to quantifiable improvements in previous roles.
Showcase Communication Skills: Since the role requires collaboration across departments, highlight your ability to communicate technical information to non-technical stakeholders. Include examples of presentations or reports you've created that effectively conveyed complex data.
Tailor Your Application: Customize your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. Use keywords from the listing to ensure your application resonates with the hiring team.
How to prepare for a job interview at Musikwoche
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've used data analysis to drive business decisions. Highlight your experience with statistical and predictive modeling, and be ready to explain how your analyses have led to quantifiable improvements.
✨Demonstrate Your Technical Proficiency
Make sure to emphasize your skills in SQL and Python during the interview. You might be asked to solve a problem or analyze a dataset, so brush up on your technical abilities and be ready to showcase them.
✨Communicate Effectively
Since you'll need to present complex data to non-technical stakeholders, practice explaining your analyses in simple terms. Tailor your communication style to your audience, ensuring that everyone understands the insights you're sharing.
✨Understand the Gaming Industry
Familiarize yourself with the free-to-play gaming model and current market trends. Showing that you have a deep understanding of the gaming landscape and its dynamics will demonstrate your commitment and fit for the role.
