Business Intelligence Analyst
Location: Hybrid (based at our offices in Parsippany, NJ 3 days per week) Join Our Visionary Team: As a Business Intelligence Analyst here at OLI, you will play a critical role in driving financial analysis and supporting strategic financial decision-making at a high-growth software company. You’ll not only drive financial planning, forecasting, and strategic decision support, but also leverage SQL, Python, and AI-driven tools to automate workflows, enhance reporting, and deliver predictive insights. Your Role: Reporting to the Head of Finance, you’ll be an instrumental business partner to leadership across the organization. You will bring both financial acumen and technical fluency to design scalable models, integrate data across systems, and deliver insights that inform high-impact decisions. Your ability to bridge financial strategy with advanced technology will help OLI sustain growth and innovation in a dynamic global environment. About OLI: Leaders in Chemistry Solutions OLI is a global leader in software development, specializing in complex chemical phenomena. Our process modeling solutions have transformed problem-solving for over 500 enterprises and academic institutions across 35+ countries. We drive innovation and sustainability, leading industrial digital transformation with technologies like real-time chemistry insights, automated systems, and cloud-based analytics. Why You're Vital to Our Mission:
As we enter a phase of significant expansion, we need to transform how Finance partners with the business. This role is central to that transformation — building automated, data-driven processes while ensuring financial accuracy and strategic alignment. You’ll collaborate closely with the CFO, Director of Finance, and cross-functional leaders to unlock efficiencies, identify opportunities, and generate actionable insights. Key Responsibilities:
- Partner with business leaders to develop strategic, long range financial plans and translate complex financial data into actionable insights.
- Develop predictive analytics that support revenue forecasting, customer behavior modeling, and operational efficiency.
- Design and implement data pipelines and workflow automations to improve financial processes, efficiency, accuracy, and timeliness of reporting through continuous improvement.
- Develop and maintain financial models to analyze business trends and drive strategic initiatives.
- Support the financial planning cycle including the annual budget, forecast updates, and assisting in preparation of the monthly reporting package for executive leadership.
- Manage daily financial inquiries, ad hoc reports, and collaborate with cross-functional leaders to support key projects.
- Produce business cases and ROI analyses that foster data-driven decision-making across the organization.
- Bachelor’s degree in Finance, Data Science, Statistics, or a related field.
- 2-3+ years of experience in strategic finance, business analytics, or data science supporting strategic, data-driven decision-making.
- Strong data visualization skills (e.g. Power BI, Tableau, etc.) and comfort working with large datasets.
- Proficiency with SQL and Python, with demonstrated ability in data querying / structuring, workflow automation, and integration across financial systems.
- Understanding of the principles of budgeting, forecasting, and managerial reporting.
- Exposure to financial concepts and models such as the 3-statement financial or operating models, with the ability to collaborate with finance leadership to refine and interpret outputs.
- Master’s Degree in Finance, Data Science, Analytics or progress toward CFA.
- Experience at a high-growth SaaS business.
- Familiarity with financial ERP software (Microsoft Dynamics) and Salesforce.
- Strong analytical and problem-solving abilities.
- Demonstrated proficiency in utilizing advanced AI tools, frameworks, and technologies to solve complex problems, drive innovation, and optimize workflows.
- Exceptional attention to detail and a methodical, precise approach.
- Strong organizational skills and ability to collaborate effectively.
- Commitment to personal growth and contributing to a positive workplace culture.
- High integrity, dependability, and a results-driven mindset.
- A chance to be part of a visionary company that is solving complex global challenges.
- A collaborative and dynamic work environment where innovation is at the heart of what we do.
- Competitive compensation package, including incentives and bonuses based on performance.
- Opportunities for personal and professional growth.
Required Competencies:
- Strategic Analysis Skills: Identifies key problems and opportunities, analyzing them deeply. Compares data from various sources, probing for root causes and subtle relationships for meaningful insights while maintaining sight of the “big picture”.
- Communication: Writes clear, concise, well-organized e-mails, memos, and business cases while using appropriate vocabulary, grammar, and word usage, and creating the appropriate "flavor.”
- Excellence: Sets high “stretch” performance standards for self and others. Demands quality results and demonstrates a strong sense of responsibility.
- Adaptability: Responds well to new pressures, competition, and shifting priorities. Not rigid--intellectually, emotionally, interpersonally. Quickly adjusts and self-corrects, handling complexity with flexibility.
- Team Player: Reaches out to peers to tear down walls. Overcomes "we-they” relationships. Approachable. Earns a reputation for leading peers toward support of what is best for the company. Cooperates with supervisors (but not "yes person") and establishes collaborative relationships with peers (without being a "pushover").
Please submit your resume through JazzHR.
Equal Opportunity Employer
OLI Systems is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all.
Applicants will be evaluated through a structured, rubric-based interview process to ensure consistency and fairness. OLI supports equitable career progression. Advancement decisions are guided by consistent evaluation criteria and regular performance conversations.
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