Technology and Innovation - Finance Analytics Engineer
TLDR
Transforms complex financial data into scalable analytics, building end-to-end pipelines and dashboards that enable data-driven decisions across finance teams.
- Extract, transform, and integrate financial and operational data from multiple sources to support analytics and reporting needs.
- Design, build, and maintain scalable and automated data pipelines for financial reporting and business intelligence.
- Develop end-to-end analytics solutions, including KPI definition, data modeling, and dashboard creation.
- Write and optimize complex SQL queries to support finance and business analysis use cases.
- Use tools such as Alteryx and Python to streamline data transformation and automation workflows.
- Work with enterprise data platforms such as Microsoft Fabric, Azure, and Snowflake for analytics delivery.
- Collaborate with finance and business stakeholders to translate requirements into data-driven solutions.
- Ensure accuracy, consistency, and financial integrity across all analytical outputs.
- Communicate insights clearly through dashboards, reports, and stakeholder presentations.
- 5+ years of experience in analytics, business intelligence, or data-focused roles.
- Strong proficiency in SQL and hands-on experience with Python, Alteryx, or similar data tools.
- Solid understanding of data engineering concepts combined with BI and analytics exposure.
- Familiarity with financial data structures such as P&L, trial balance, and revenue datasets.
- Experience working with finance, accounting, or business teams in an analytics capacity.
- Strong ability to translate complex data into clear, actionable insights for non-technical audiences.
- Experience with enterprise data platforms such as Snowflake, Azure, or Microsoft Fabric.
- Strong communication skills with the ability to present findings and influence stakeholders.
- Analytical mindset with strong problem-solving ability and attention to detail.
- Ability to thrive in dynamic, fast-changing environments with multiple priorities.
- Competitive compensation aligned with senior analytics engineering roles.
- Flexible remote work arrangement within a global delivery model.
- Exposure to enterprise-scale financial analytics and modern data platforms.
- Strong opportunities for professional growth in FP&A, BI, and data engineering domains.
- Collaborative and knowledge-sharing culture with cross-functional engagement.
- Work-life balance supported by flexible working practices and autonomy.
Requirements:
Benefits:
Benefits
Equity Compensation
Competitive compensation aligned with senior analytics engineering roles.
Flexible Work Hours
Work-life balance supported by flexible working practices and autonomy.
Learning Budget
Strong opportunities for professional growth in FP&A, BI, and data engineering domains.
culture and collaboration
Collaborative and knowledge-sharing culture with cross-functional engagement.
Remote-Friendly
Flexible remote work arrangement within a global delivery model.
Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.
- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services