FinOps Data Analyst

FinOps Data Analyst

Full-Time 36000 - 60000 ÂŁ / year (est.) Home office (partial)
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At a Glance

  • 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 ÂŁ 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 who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ 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, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s 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

  • Bachelor’s 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 team’s 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, Inclusion and 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 aren’t just words on paper – this is what drives our innovation, it’s 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.

We are an equal opportunities employer and welcome applications from all qualified candidates.

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FinOps Data Analyst employer: Anaplan

Anaplan is an exceptional employer that fosters a Winning Culture, where innovation and collaboration thrive. With a strong commitment to diversity, equity, inclusion, and belonging, employees are empowered to bring their authentic selves to work while enjoying opportunities for professional growth and development. Located in a dynamic environment, Anaplan offers competitive benefits and a supportive atmosphere that celebrates both individual and team achievements, making it an ideal place for those seeking meaningful and rewarding careers.
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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

Data Analysis
Power BI
SQL
Python
Google Cloud Platform
AWS
Data Visualization
Data Modelling
Collaboration
Budgeting and Forecasting
Cloud Data Services
Critical Thinking
Communication Skills
Agile Methodologies

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.

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