Who you are
- You have a strong analytical mindset and a passion for turning complex financial data into actionable insights.
- You have experience working with financial data and reporting, with a solid foundation in data modeling, analysis, and visualization.
- You have strong data governance skills and know how to handle complex data sets to minimize the possibility of errors
- You are proficient in Power BI and other data visualization tools, and you enjoy building dashboards that drive business decisions.
- You have strong SQL skills and experience working with databases to extract, transform, and analyze data.
- You are detail-oriented, structured, and thrive in solving problems with a data-driven approach.
- You enjoy collaborating across functions and effectively communicating insights to both finance and non-finance stakeholders.
- You are excited about working in an evolving finance tech landscape and contributing to the implementation of FP&A software.
What you'll do
- Build & Maintain Financial Data Infrastructure – Develop and maintain a scalable financial data foundation that ensures accuracy, consistency, and reliability.
- Develop Dashboards & Reports – Create insightful Power BI dashboards and reports to support financial planning, forecasting, and business decision-making.
- Enhance Financial Analyses – Conduct in-depth analyses of financial performance, trends, and key business drivers to support strategic initiatives.
- Automate Reporting & Processes – Improve efficiency by automating financial reporting and streamlining data flows.
- Collaborate with Stakeholders – Work closely with FP&A, Accounting, and Business Intelligence teams to align financial insights with business objectives.
- Implement & Own FP&A Software – Support the selection, implementation, and ongoing management of FP&A tools to enhance financial reporting and planning capabilities.
- Support Ad-Hoc Data Needs – Respond to ad-hoc data requests and contribute to financial modeling, scenario planning, and strategic decision-making efforts.
Qualifications
- Bachelor’s Degree (Required): Finance, Accounting, Economics, Business Analytics, Data Science, or a related field.
- Master’s Degree (Preferred but Optional): MBA (Finance), master’s in data analytics, or a related field can be an advantage
- Power BI/SQL Certification – Validates expertise in data visualization and database management.
- Chartered Accountant (CA), Cost Accountant (CMA), or Chartered Financial Analyst (CFA) – Demonstrates strong financial and analytical expertise.
- Experience in financial planning & analysis, data modeling, and financial reporting.
- Proven track record of working with financial data, building dashboards, and automating reporting processes.
- Additional experience in implementing and managing FP&A software.
- Expertise in collaborating with cross-functional teams and handling complex financial models.
- Proficiency in Power BI (or Tableau) for data visualization.
- Advanced SQL knowledge to extract, manipulate, and analyze data.
- Experience with financial modeling, budgeting, and forecasting.
- Knowledge of ERP/financial systems (especially NetSuite).
- Domain Expertise: Prior experience in SaaS, technology, or software-based companies is a plus.
- Project Management Skills: Experience in managing data projects or process automation can add value.
Similar Jobs
What We Do
Cognite is an AI company that delivers industrial software to improve the production efficiency of Energy, Process Manufacturing, and other industrial companies.
We deliver an Industrial DataOps platform that liberates siloed data and empowers our customers to solve some of their most complex business problems with AI-powered solutions. The typical solutions we enable drive innovative new ways to approach Data Exploration, Digital Operator Rounds, Production Optimization, Turnaround Planning, and Root Cause Analysis.
We do this by automating and scaling industrial data contextualization of various sources (such as time series, engineering diagrams, equipment logs, maintenance records, 3D facility models, images, large point clouds, and more). We use AI and other tools to find and map the meaningful relationships between the data across these various sources. In addition, we provide intuitive tools that enable efficient use of analytics and automated workflows, as well as prebuilt AI capabilities and a low-code industrial agent builder, Cognite Atlas AI, that enables AI to carry out more complex operations with greater accuracy.
Why Work With Us
Employees at Cognite are pushing the envelope with the latest cloud technology, scaling industrial applications across hundreds of assets, revolutionizing industrial data models, and working with robotics. Cogniters are fast, creative, and resilient. We keep the energy high and fun, learning from our mistakes and celebrating our victories together.
Gallery







