At a Glance
- Tasks: Lead impactful analytics to drive strategic decisions and enhance business performance.
- Company: Join a dynamic team at HeliosX, focused on innovation and growth.
- Benefits: Competitive salary, flexible working arrangements, and opportunities for professional development.
- Other info: Collaborative environment with a focus on personal and team growth.
- Why this job: Make a real difference by leveraging data to shape business strategies.
- Qualifications: Proven analytics experience, strong data management skills, and excellent communication abilities.
The predicted salary is between 60000 - 80000 € per year.
Requirements
- Proven track record in analytics, strategy, or data roles in high‑growth, data‑rich environments
- Strong track record of personally delivering complex, high‑impact analysis (not just managing teams)
- Solid background of data governance and reconciliation, with a strong grasp of financial and e‑commerce metrics
- Comfortable operating as a senior individual contributor and team leader simultaneously
- Strong data management skills, having experience with Python / R and advanced SQL skills
- Excellent communication, presentation, and business partnering skills, inspiring confidence through powerful messaging and a natural rapport
- Comfortable with ambiguity, possessing the ability to proactively work independently and collaboratively
- Strong commercial acumen — able to connect analysis to revenue, margin and customer outcomes
- Outstanding organisational and time‑management skills, with a keen eye for detail when appropriate
- Resilient, pragmatic, and agile. Confident in making candid observations and openly engaging with difficult truths in order to deliver solutions
- Strong stakeholder management and collaboration skills to understand business needs, challenges and objectives
What the job involves
The Head of Analytics is responsible for maximising the impact of analytics across HeliosX during a period of transition. The role will drive higher‑quality, insight‑led decision‑making by leveraging existing data capabilities and embedding advanced analytical thinking across the business. Operating as a hands‑on leader, the role combines direct delivery of high‑impact analysis with the development and uplift of analytics capability across the team, ensuring consistent, value‑driven outputs aligned to business priorities.
Commercial Analysis and Insights
- Act as the lead analytical problem solver on the most critical business questions.
- Deliver end‑to‑end, deep‑dive analysis across areas such as:
- Acquisition performance & channel efficiency
- Retention, churn and LTV dynamics
- Pricing and commercial optimisation
- Operational performance and cost drivers
- Provide actionable recommendations based on data insights to inform strategic and operational decisions.
- Work with cross‑functional leadership to identify, collect, analyse, and interpret data to help refine and prioritise Group strategy.
- Move beyond descriptive reporting to diagnose root causes and identify clear actions.
- Work directly with senior stakeholders to shape decisions in real time.
- Lead the delivery of reports and presentations to communicate findings.
- Work with the Financial Planning & Analysis (FP&A) lead to ensure analytical insights are incorporated into the business plan and that variances to plan can be explained.
- Partner with Data Science to integrate predictive modelling, experimentation and advanced segmentation.
Data Visualisation and Reporting
- Reduce time spent on manual reporting and dashboard production.
- Leverage AI and Snowflake capabilities to automate or eliminate low‑value workflows.
- Redefine team priorities toward fewer, higher‑impact analytical outputs.
- Establish a culture of proactive, hypothesis‑led analysis.
- Lead on BI education and data literacy for business stakeholders across functional teams.
- Ensure data‑driven insights are presented in a clear and actionable format.
Team Management
- Set a new standard for problem structuring, analytical depth and commercial insight.
- Coach analysts through real work and live problem solving.
- Stay close to the work, actively reviewing and contributing to analysis.
- Introduce more rigorous approaches to hypothesis‑driven analysis, causal thinking and how to translate data into decisions.
- Work alongside Data Governance to improve metric clarity and trust over time.
Interim Head of Business Analytics (6-Month Fixed-Term Contract) employer: Deepstreamtech
HeliosX is an exceptional employer that fosters a dynamic and innovative work culture, particularly for the Interim Head of Business Analytics role. With a strong emphasis on employee growth and development, the company offers unique opportunities to lead high-impact analytical projects while collaborating with cross-functional teams in a fast-paced environment. Employees benefit from a supportive atmosphere that encourages proactive problem-solving and the use of advanced data capabilities, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Interim Head of Business Analytics (6-Month Fixed-Term Contract)
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your analytical skills. Use real examples from your past work to demonstrate how you’ve tackled complex problems.
✨Tip Number 3
Don’t just wait for job alerts! Regularly check our website for new openings and apply directly. It shows initiative and keeps you ahead of the competition.
✨Tip Number 4
Follow up after interviews with a thank-you note. It’s a simple way to express gratitude and keep you fresh in their minds, plus it shows your strong communication skills!
We think you need these skills to ace Interim Head of Business Analytics (6-Month Fixed-Term Contract)
Some tips for your application 🫡
Show Off Your Experience:Make sure to highlight your proven track record in analytics and strategy. We want to see how you've personally delivered complex analyses that made a real impact, so don’t hold back on those examples!
Be Clear and Concise:When you're writing your application, keep it straightforward. Use clear language to explain your data management skills and experience with tools like Python, R, and SQL. We appreciate a well-structured application that gets straight to the point.
Connect the Dots:Show us how your analytical insights have driven revenue or improved customer outcomes. We love seeing candidates who can connect their analysis to real business results, so make those connections clear in your application.
Engage with Us:Don’t forget to express your enthusiasm for the role and our mission at StudySmarter. We’re all about collaboration, so let us know how you can contribute to our team and why you’re excited to join us. Apply through our website to make it official!
How to prepare for a job interview at Deepstreamtech
✨Know Your Data Inside Out
Make sure you’re well-versed in the data tools and languages mentioned in the job description, like Python, R, and SQL. Prepare to discuss specific examples of how you've used these skills to deliver impactful analysis in previous roles.
✨Showcase Your Problem-Solving Skills
Be ready to tackle hypothetical business problems during the interview. Think about how you would approach complex questions related to acquisition performance or operational efficiency, and articulate your thought process clearly.
✨Communicate with Confidence
Practice presenting your findings and recommendations as if you were addressing senior stakeholders. Use clear, concise language and focus on how your insights can drive revenue and improve customer outcomes.
✨Demonstrate Your Leadership Style
Since this role involves both individual contribution and team leadership, be prepared to discuss your experience in coaching others. Share examples of how you've inspired confidence and fostered collaboration within your teams.
