Financial Planning and Data Analytics Analyst II

Inside the Role

Short and long-term financial planning and/or financial analysis of business operations for the purpose of measuring and forecasting future business performance. Analyzes internal financial information (e.g., profit loss accounts, financial statements, working capital, costs, prices, expenses, revenues, rates of return, etc.). Analyzes external economic conditions and their impact on business operations (e.g., inflation, interest rates, exchange rates, etc.). Conducts financial modeling to measure and forecast potential impacts of financial transactions and corporate development activities. Develops, analyzes and models operational, economic, management, accounting and other organizational data. Prepares operations analyses, including analysis of competitors, operational effectiveness and capacity utilization. Prepares plans or recommends solutions to new and complex problems, develops innovative strategies, quantifies the competitive performance of the organization's operations and/or markets, evaluates the potential impact of changes and reports on economic forecasts that affect the industry. Responsibilities are within the Data Science & Business Intelligence job family group as a generalist or in a combination of job families.

Posting Information

We provide a scheduled posting end date to assist our candidates with their application planning. While this date reflects our latest plans, it is subject to change, and postings may be extended or removed earlier than expected.

We Take Care of Our Team

Position offers a starting salary range of $86,000.00- $110,000.00 USD  

Pay offered dependent on knowledge, skills, and experience​  

  

Benefits include annual bonus program; 401k company contribution with company match up to 6% as well as non-elective company contribution of 3 - 7% depending on age; starting at 4 weeks paid vacation; 13+ calendar holidays; 8 weeks paid parental leave; employee assistance program; comprehensive healthcare plans and wellness programs; onsite fitness (at some locations); tuition assistance and volunteer paid time off; short-term and long-term disability plans.  

What You Drive at DTNA

• Lead funding efforts for R&D projects while overseeing and coordinating departmental actual and planning efforts to support both local and global initiatives.

• Short and long-term financial analysis of project portfolio for the purpose of measuring and forecasting future business performance.

• Analyzes internal financial information (e.g., profit loss accounts, financial statements, working capital, costs, prices, expenses, revenues, rates of return, etc.).

• Analyzes external economic conditions and their impact on business operations (e.g., inflation, interest rates, exchange rates, etc.).

• Conducts financial modeling to measure and forecast potential impacts of financial transactions and corporate development activities.

• Proactively analyze project data to answer key questions from stakeholders or out of self-initiated curiosity with an eye for what drives business performance.

• Prepares, plans or recommends solutions to new and complex problems, develops innovative strategies, quantifies the competitive performance of the organization's operations and/or markets, evaluates the potential impact of changes and reports on economic forecasts that affect the industry.

• Become the subject matter expert who uses a variety of data sources to blend and join data for efficient delivery.

• Use analytical thought to independently solve complex problems with minimal guidance.

• Maintain interactive visualization through data interpretation and analysis, integrating various reporting components from multiple data sources.

• Combines a good level of understanding on how business operates with ability to effectively summarize results, communicate and steer senior level stakeholders by leveraging tools like Tableau and PowerBI.

• Utilize/leverage tools like Alteryx, Tableau and/or Power BI to lead automation of data

• Acts as a resource and guide for colleagues with less experience.

• Additional responsibilities are within the Data Science & Business Intelligence job family group as a generalist or in a combination of job families.

  
   

Knowledge You Should Bring

• Bachelor's degree in Accounting, Business Administration, Finance or related field and 2-4 years of relevant industry experience, is required

• 3+ years of combined experience in accou