Financial Operations Data Analyst, Anaplan
Cloud-based modeling and planning for sales, operations, and finance
Be an early applicant
Cloud-based modeling and planning for sales, operations, and finance
1001+ employees
Be an early applicant
1001+ employees
Company mission
Anaplan's mission is to make all planning for all people a reality. They believe our world is better when we connect communities of people with data to enhance decision-making in dynamic environments.
Role
Who you are
- 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
- 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
Desirable
- 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
What the job involves
- 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
- 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
Our take
Anaplan provides cloud-based planning software across various use cases. The Anaplan platform replaces the patchwork of outdated tools (from the likes of Oracle, SAP and IBM) that don’t interact well with each other, and does away with the manual planning processes that are often overly complex, inefficient and costly.
The Anaplan platform can handle high volumes of data processed in real-time. The company’s modeling engine - based on proprietary Hyperblock technology - enables thousands of concurrent users to all access a centralized data pool. The technology lets users create detailed planning models that incorporate data down to the transaction level (across stores, employees and product SKUs) to improve decision making. While legacy planning solutions tend to be focused solely on the finance department, Anaplan’s platform enables collaborative planning across all areas. The company generates about 40% of its business from outside of core finance use cases.
There are multiple ways for the Anaplan platform to be used throughout any organisation - ranging from budgeting and forecasting to modelling and pricing optimisation. Planning tools can be put to work to gauge sales performance, handle departmental budgets, manage marketing spending, improve inventory management, and deal with IT project budgeting.
Anaplan has over 175 partners and more than 1,700 customers worldwide, and was acquired by Thomas Bravo in 2022, reconfirming its position as a leader in connected planning. Despite its solid position, the company was not immune to layoffs in 2023 due to the economic slowdown.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-2% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Dec 2017
$60m
SERIES F
Jan 2016
$90m
SERIES E
Total funding: $299.9m
Company benefits
- Flexible working
- Work from home opportunities
- Health insurance
Company HQ
Yerba Buena, San Francisco, CA
Leadership
Charlie Gottdiener
(CEO (Not Founder))Currently Board Member at TransUnion, Neustar Security Services, and smartShift.
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