At a Glance
- Tasks: Drive strategic initiatives using data insights to boost revenue and customer growth.
- Company: Join a leading SaaS company focused on innovation and collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Work with cross-functional teams and present findings to senior leadership.
- Why this job: Make an impact by leveraging AI and analytics in a dynamic global environment.
- Qualifications: 3+ years in strategy or analytics; strong Excel and analytical skills required.
The predicted salary is between 60000 - 80000 £ per year.
Key Responsibilities:
- Support and drive strategic and operational initiatives by developing data‑driven insights and recommendations to improve revenue growth, customer acquisition, retention, and expansion across international markets.
- Apply AI‑enabled analytics and advanced techniques (e.g., predictive modeling, segmentation, automation) to enhance decision‑making, forecasting accuracy, and GTM effectiveness.
- Partner with cross‑functional teams (Sales, Marketing, Product, Finance) and global counterparts to translate business problems into analytical frameworks and actionable outputs.
- Build and maintain scalable reporting, dashboards, and performance tracking tools, incorporating automation and AI where appropriate.
- Support pipeline analysis, forecasting, and strategic assessment of performance and optimization opportunities (e.g., renewals, churn risk), identifying trends, risks, and opportunities across regions.
- Lead or support project workstreams as needed, ensuring timely and high‑quality execution.
- Communicate findings clearly to stakeholders, including senior leadership, through structured presentations and reporting.
Required Qualifications:
- 3+ years of experience in strategy, analytics, GTM operations, or similar roles within a SaaS or B2B technology organization.
- Strong understanding of recurring revenue business models; familiarity with B2B software strongly preferred.
- Advanced analytical and modeling skills with the ability to work across multiple data sources; advanced Excel required.
- Experience using reporting, visualization, or analytics tools to deliver business insights (e.g., Salesforce, Power BI, Thinkcell).
- Demonstrated experience applying AI / machine learning tools or techniques in a business context (e.g., forecasting, segmentation, automation, or insight generation).
- Strong financial and commercial acumen with the ability to apply a quantitative lens to strategic decisions.
- Excellent communication and presentation skills, with the ability to translate complex analyses into clear, actionable insights and work collaboratively across functions.
Additional Information:
Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.
Sr. Analyst GTM Strategy & Operations in Reading employer: Kaseya
Kaseya is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation and collaboration thrive. With a strong focus on employee growth, we offer extensive training and development opportunities, particularly in the fast-evolving fields of AI and analytics. Located in a vibrant international market, our team enjoys the unique advantage of working alongside global counterparts, driving impactful strategies that enhance revenue growth and customer success.
StudySmarter Expert Advice🤫
We think this is how you could land Sr. Analyst GTM Strategy & Operations in Reading
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We think you need these skills to ace Sr. Analyst GTM Strategy & Operations in Reading
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Kaseya, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Kaseya
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Kaseya’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
