Senior Analyst - Finance (ACOE)
About the role
As a Senior Finance Analyst – ACOE at Ascent, you will deliver data analytics, data science, automation, and AI-driven solutions for finance and business functions. The role involves developing and administering BI and analytics solutions, identifying and delivering automation and process improvements, and designing scalable analytics solutions to improve business outcomes. You will coordinate with cross-functional teams to deliver data science and machine learning projects, maintain analytical frameworks, and perform statistical modeling and predictive analytics to support decision-making. The position requires strong technical and analytical skills, finance domain knowledge, and the ability to communicate findings to non-technical stakeholders. Ascent offers a collaborative and innovative environment with opportunities for professional growth and comprehensive benefits.
Must have
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, IT, or a related quantitative field.
- Minimum 3–4 years of experience in analytics, business intelligence, or data science.
- Proven experience in data modeling and data-driven problem solving.
- Experience working with enterprise data platforms, ERP systems, cloud data environments, and multiple data sources.
- Hands-on experience delivering end-to-end analytics or machine learning projects.
- Attention to detail and the ability to stay organized in a demanding environment.
- Strong written and verbal communication skills, with the ability to explain analytical findings to non-technical finance stakeholders.
- Ability to drive adoption of new tools and ways of working across finance teams.
- Results-oriented, with the ability to manage competing deadlines.
- Able to work independently with minimal supervision.
- Advanced Microsoft Excel (Office Scripts, Power Query, Power Pivot, advanced formulas, modeling).
- Microsoft Power Platform, including Power BI, semantic models, DAX, and advanced dashboard development.
- Proficiency in Python (or R) for data science, machine learning, and automation.
- Statistical analysis, forecasting, predictive modeling, and optimization techniques.
- SQL and database management.
Nice to have
- Certifications in Data Science, Machine Learning, Advanced Analytics, Cloud Analytics, or Data Engineering will be an added advantage.
- Working knowledge of AI and Generative AI applications in analytics (desirable).
- Experience with Databricks, Delta Lake, or similar data engineering frameworks (desirable).
Technologies
- Data Analytics
- Data Engineering
- Data Modeling
- Data Science
- Databricks
- Delta Lake
- ERP
- Excel
- Generative AI
- Machine Learning
- Power Platform
- Power Query
- Power BI
- Predictive Analytics
- Predictive Modeling
- Python
- SQL
- Statistics
Highlights
The role offers a hybrid work environment, office transportation, hospitalization insurance, online medical facility, higher education benefits, rewards and wellness programs, and career training programs. Certifications in data science, machine learning, advanced analytics, cloud analytics, or data engineering are considered an added advantage.
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