IFS is seeking an experienced Senior Data Analyst to join our high-performing team and deliver critical insights that drive customer retention revenue growth and strategic decision-making. In this role you will work at the intersection of analytics operations and innovationbuilding advanced dashboards automating data processes and collaborating across global teams to support impactful data-driven decisions.
Youll play a key role in shaping our revenue strategy by leveraging analytics to optimize renewals and expansion initiatives. Were looking for professionals who bring strong ownership analytical rigor and a results-oriented mindsetthose who thrive on solving complex business challenges in a fast-paced growth-driven environment.
If youre an analytical expert with strong business acumen technical depth and a passion for data-driven results we want to hear from you.
Duties and Accountabilities (including but not limited to)
Data Strategy & Insights
- Develop and maintain dynamic reports and dashboards using Excel Power BI and validated data sources to deliver actionable insights aligned with IFSs renewal and growth objectives.
- Perform in-depth KPI analysis and scenario modelling to support quarterly and annual planning cycles enabling data-driven decision-making across the business.
- Translate complex data into actionable recommendations and prioritized next-best actions to improve customer retention and maximize recurring revenue.
- Proactively identify opportunities to improve data accuracy quality and relevance.
- Produce timely ad hoc and scheduled reports tailored to executive stakeholders needs ensuring alignment with the business cadence.
- Track and report key metrics including renewal uplift churn mitigation and ARR contribution.
Operational Intelligence
- Source cleanse and unify diverse internal and external data streams ensuring consistency through validation and governance practices.
- Track pricing customer behaviour and renewal patterns to uncover actionable insights that support business metrics.
- Build and maintain operational performance tools that enhance visibility and decision-making for leadership and managers.
- Present insights using compelling visuals and narratives that drive clarity and alignment across business units.
Cross-Functional Collaboration
- Collaborate with global teams in sales renewals and customer success to deliver data-driven insights that enhance customer engagement and revenue performance.
- Develop and deliver compelling data stories tailored to both technical and non-technical audiences including executives.
- Champion data literacy by coaching colleagues on analytics tools interpretation of insights and data-driven practices.
- Facilitate cross-functional data-sharing initiatives to unlock incremental business value and foster continuous innovation.
Automation & Innovation
- Automate recurring reporting and business processes using Power BI VBA and modern scripting tools such as Python or Power Automate.
- Explore AI and machine learning techniques to build predictive models for churn risk renewal forecasting and customer segmentation.
- Continuously evaluate and implement emerging technologies to drive efficiency and scale analytics capabilities.
Qualifications :
Required Competencies
- Expertise in data analysis critical thinking and systems-based problem-solving.
- Advanced proficiency with Excel SQL Power BI and Microsoft 365 tools (PowerApps Power Automate Copilot).
- Familiarity with enterprise data architectures including CRM/ERP data structures and data warehousing principles.
- Strong business acumen and financial modeling knowledge (TCV ARR ACV TCO) with an understanding of SaaS metrics and licensing models.
- Proven ability to communicate complex data insights clearly to cross-functional executive and non-technical audiences.
- Experience working in global matrixed organizations with a collaborative agile and continuous improvement mindset.
- Results-driven and highly organized and detailed with a demonstrated ability to prioritize under pressure.
- Self-motivated and proactive with a strong sense of ownership.
Required Education & Experience
- Bachelors degree in Business Economics Data Science Statistics Computer Science or a related field (or equivalent professional experience).
- 5 years of experience in business operations analytics or forecasting roles preferably within the enterprise software or SaaS industry.
- Professional certifications such as Microsoft Data Analyst Associate Power BI Certification and experience with AI/ML toolkits or GenAI for data interpretation and automation.
- High proficiency in Microsoft PowerPoint and Microsoft 365 suite including Copilot and other productivity tools..
- Experience with IFS applications and/or IFS Cloud is a strong advantage.
Additional Information :
We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles while also valuing inclusive workplace experiences. By fostering a sense of community we drive innovation strengthen connections and nurture belonging. Our commitment ensures you can work in a way that suits you best while also engaging with colleagues to share ideas and build meaningful relationships.
Remote Work :
No
Employment Type :
Full-time