Data Analytics Engineer( Finance and Accounting)
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Data Analytics Engineer –Finance & Accounting Analytics
This role is responsible for supporting Finance, Accounting, Treasury, Risk, and Regulatory Reporting teams by developing and managing financial data, reporting, and analytics solutions. The Analyst will work with large datasets, build ETL processes, create dashboards and reports, ensure data accuracy and integrity, and help modernize data platforms using cloud technologies .
Responsibilities
- Develop, maintain, and enhance financial data assets supporting financial and regulatory analysis.
- Design, develop, and support data processes to acquire, transform, validate, and load data from multiple source systems.
- Create and maintain dashboards, reports, and self-service business intelligence solutions using BI tools such as Tableau or Power BI.
- Partner with Finance, Treasury, Risk, Regulatory Reporting, and engineering teams to gather requirements and translate business needs into data and reporting solutions.
- Perform data analysis, reconciliation, and validation to ensure the accuracy, completeness, and integrity of financial and regulatory data.
- Document business rules, data lineage, technical specifications, and operational procedures in accordance with enterprise governance standards.
- Identify opportunities to automate manual processes, improve reporting efficiency, and enhance data quality controls.
- Collaborate with data engineers, analysts, and business stakeholders to support modernization efforts involving cloud data platforms, Databricks, and enterprise data architecture.
Experience and Qualifications
- Requires a Bachelors’ degree in Information Systems, Data Analytics, Finance, Accounting, Economics, Mathematics, Statistics, or other technical discipline and 2+ years’ experience in data analytics. (Expertise in banking and financial services preferable)
- Very strong SQL background.
- Experience with designing and developing ETL processes (Snaplogic , Talend Open Studio, AirFlow, DBT etc)
- Experience working in cloud-based data environments, preferably AWS.
- Experience with creating business intelligence solutions (Tableau , Qlik Sense, SAP Business Object Reports, Power BI)
- Requires strong analytical, troubleshooting and problem-solving skills.
- Ability and desire to learn new technologies quickly.
- Ability to work independently and collaborate with others at all levels of technical understanding.
- Strong organizational, presentation, interpersonal and communication skills, both verbal and written.
- Must be able to meet deadlines.
- Positive attitude, team player.
- Location: Marlborough/Chelmsford, MA or Hillsborough, OR
- Target Compensation: $74,000 - $89,000 + Annual Bonus
- Schedule: Monday - Friday (8am - 5pm) Hybrid
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