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- Tasks: Create and maintain data reports using PowerBI and collaborate with teams on cloud service analysis.
- Company: Join Anaplan, a leader in AI-infused scenario planning for top global companies.
- Benefits: Enjoy a diverse culture, competitive salary, and opportunities for personal growth.
- Why this job: Make an impact by optimising business decisions with cutting-edge data analysis tools.
- Qualifications: Bachelor’s degree in relevant fields and experience with SQL, Python, and cloud platforms.
- Other info: Be part of a team that values diversity, innovation, and your unique contributions.
The predicted salary is between 36000 - 60000 £ per year.
At Anaplan we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers success and to our Winning Culture. Our customers rank among the whos who in the Fortune 50. Coca-Cola LinkedIn Adobe LVMH and Bayer are just a few of the 2400 global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas we behave like leaders regardless of title we are committed to achieving ambitious goals and we love celebrating our wins big and small. Supported by operating principles of being strategy-led values-based and disciplined in execution youll be inspired connected developed and rewarded here. Everything that makes you unique is welcome; join us and lets build whats next – together! The FinOps Data Analyst will prepare and deliver complex data products and analysis based on Cloud Service usage cost and revenue data as specified by Anaplan Engineering and Business teams. This will include the preparation of ad hoc reports as well as the design development and ongoing maintenance of high-quality always on reporting capabilities in tools including PowerBI and Anaplan. The candidate will have hands-on experience with Google and AWS Data Products analysis tools including SQL Python Power BI and Databricks as well as familiarity with Cloud Services from major providers such as AWS GCP and Azure. Your Impact Report Design Build and Maintain: Collaborate with stakeholders to design reports in PowerBI and other platforms as needed as well as analytical data sets including prototyping usability testing and data visualization deliver and maintain these reports to meet ongoing business needs. Work with internal Engineering Finance and Product teams to ensure that FinOps data products continue to meet stakeholder needs Work with internal Engineering IT and Product teams to make sure they are aware of FinOps data needs and that they are prioritized and delivered in a timely fashion. Document and maintain Anaplan FinOps data products including data sets integrations and reports. Budgeting Forecasting: Assist in the development and maintenance of budgets and forecasts for cloud services performing regular reviews with stakeholders to ensure financial business and capacity goals are met. Data Modeling: Develop and maintain data models to support business requirements. Collaboration: Work closely with FinOps team Engineering AoA and as needed with data scientists/ analysts and other stakeholders to deliver high-quality data products reports and analysis. Your Qualifications Bachelors degree in Finance Computer Science Information Technology or related field. Relevant experience in data analysis particularly with tools from cloud platforms like Google Cloud. Preferred certifications in Google Cloud Platform BI Tools FinOps and Cloud Finance. Proficiency in Python SQL BI tools and Google Data Products. Nice to Have Critical thinking and problem solving: ability to critically analyze your own as well as the teams work. The ability to think broadly to inform stakeholder requirements as well as provide guidance to stakeholders on key insights. Strong analytical skills: with the ability to interpret data and trends to make informed recommendations. Cloud Data Services: experience in the use of data products such as BigQuery Athena Redshift Databricks to perform and deliver analysis as required by stakeholders. Python: hands-on experience with Python especially in handling semi/unstructured data and REST API integration. BI Tools: working knowledge with BI tools (e.g. PowerBI Tableau) the development lifecycle of BI report building and scheduling data modeling within these tools. Excellent communication skills with the ability to collaborate effectively with technical teams business stakeholders and suppliers. Familiarity with Agile project approaches (Scrum/ Kanban) and tools such as Jira. Our Commitment to Diversity Equity Inclusionand Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce enhances trust with our partners and customers and drives business success. Build your career in a place where diversity equity inclusion and belonging arent just words on paper this is what drives our innovation its how we connect and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued regardless of gender identity or expression sexual orientation religion ethnicity age neurodiversity disability status citizenship or any other aspect which makes people unique. We hire you for who you are and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process perform essential job functions and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals mainly through telephone calls emails and correspondence claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Anaplan does not: Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person. Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication. All emails from Anaplan would come from an @ email address. Should you have any doubts about the authenticity of an email letter or telephone communication purportedly from for or on behalf of Anaplan please send an email to before taking any further action in relation to the correspondence. Required Experience: IC Key Skills Data Analytics,Microsoft Access,SQL,Power BI,R,Data Visualization,Tableau,Data Management,Data Mining,SAS,Data Analysis Skills,Analytics Employment Type : Full Time Experience: years Vacancy: 1
FinOps Data Analyst employer: Anaplan
Contact Detail:
Anaplan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land FinOps Data Analyst
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Anaplan on LinkedIn. Ask them about their experiences and any tips they might have for landing the FinOps Data Analyst role. Personal connections can give you insights that a job description just can't.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since you'll be working with tools like PowerBI, SQL, and Python, make sure you can talk confidently about your experience with these. Maybe even do a mock interview with a friend to practice!
✨Tip Number 3
Show off your problem-solving skills! During interviews, be ready to discuss specific challenges you've faced in data analysis and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in being part of the Anaplan team. Let's get you that job!
We think you need these skills to ace FinOps Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the FinOps Data Analyst role. Highlight your experience with data analysis tools like SQL and Python, and don’t forget to mention any relevant cloud services you’ve worked with. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data analysis and how you can contribute to our Winning Culture. Share specific examples of your past work that relate to the job description – we love a good story!
Show Off Your Projects: If you’ve got any projects or reports you’ve created using PowerBI or other BI tools, make sure to mention them. We’re keen to see your hands-on experience and how you’ve tackled real-world problems. Don’t be shy – show us what you’ve got!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, it shows us you’re serious about joining our team at Anaplan!
How to prepare for a job interview at Anaplan
✨Know Your Tools Inside Out
Make sure you’re well-versed in the tools mentioned in the job description, like PowerBI, SQL, and Python. Prepare to discuss specific projects where you've used these tools, showcasing your hands-on experience and how it contributed to successful outcomes.
✨Understand FinOps Fundamentals
Brush up on FinOps principles and how they apply to cloud services. Be ready to explain how you can help optimise costs and improve financial decision-making for stakeholders, as this will show your alignment with Anaplan's goals.
✨Prepare for Collaboration Questions
Since collaboration is key in this role, think of examples where you’ve worked closely with cross-functional teams. Highlight your communication skills and how you’ve navigated challenges to deliver high-quality data products.
✨Showcase Your Analytical Mindset
Be prepared to demonstrate your critical thinking and problem-solving abilities. Bring examples of how you've interpreted data trends to make informed recommendations, as this will resonate well with Anaplan’s focus on data-driven decision-making.
