Senior Finance Transformation Analyst -Data Development
Responsibilities
- Use a comprehensive blend of finance, project management, and systems expertise to spearhead projects, formulate plans, oversee timelines, and ensure project execution aligns with objectives.
- Perform in-depth business analysis to identify process improvement opportunities and provide consultation on best practices. Work cross-functionally to deliver integrated, cost-effective solutions.
- Integrate and optimize finance systems and contribute to the implementation of technology solutions using a good understanding of change management processes, software development life cycle, and change programs measures.
- Contribute to strategic planning for initiatives.
- Collaborate with team members and provide mentorship to junior analysts.
- Oversee the preparation of comprehensive reports and conduct analytics to facilitate decision-making.
- Leverage AI tools and automation frameworks to enhance data analysis, streamline workflows, and improve decision-making.
Qualifications
- Bachelor's degree in finance, accounting, or related field, or equivalent experience
- Solid experience in financial technology change management projects, with a focus on finance, financial systems, and business analysis (typically five to eight years)
- Analytical and problem solving skills
- Excellent communication and consultation skills
- Proficient overseeing projects and managing timelines
- Decision making and organizational skills to implement projects
Preferred Qualifications
- Proven experience leading finance transformation projects and teams.
- Experience building/operating highly available, data pipelines, distributed systems of data extraction, ingestion, and processing of large data sets.
- Experience as a Data Analyst with expertise in designing and implementing data solutions on cloud platforms AWS.
- Experience in translating complex business requests into technical requirements by designing solutions to enhance reporting and analytics capabilities using data modeling and dimensional modeling techniques.
- Develop automated solutions to streamline financial processes by centralizing and standardizing data from various sources to support downstream process and reporting.
- Demonstrated strength in data modeling, SQL development, and data warehousing.
- Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy
- Experience best practices on data architecture, data modeling, and data transformation and perform code review sessions
- Skilled in exploring AI-driven features within enterprise platforms and integrating AI capabilities into existing environments to drive efficiency and innovation.
- Proficiency in programming languages such as Python and SQL for data processing and manipulation.
- Experience with advanced analytics techniques, including statistical analysis, predictive modeling, machine learning, and data visualization.
- Experience with data visualization tools like Power BI, or Quicksight.
- Certified Analytics Professional (CAP) or AWS Certified Machine Learning Specialist.
Working Conditions
- Hybrid Office Environment
Compensation
- The Salary for this position generally ranges between $78,000 - $100,000 annually. Please note that the salary range is a good faith estimate for this position and actual starting pay is determined by several factors including qualifications, experience, geography, work location designation (in-office, hybrid, remote) and operational needs. Salary may vary above and below the stated amounts, as permitted by applicable law.
- Additionally, this position is typically eligible for an Annual Bonus based on the Company Bonus Plan/Individual Performance and is at the Company’s discretion.
Applicants must possess legal authorization to work for our company in the U.S. without the need for immigration, sponsorship or otherwise serving as an employer of record for immigration employment purposes. At this time, this role is not eligible for immigration-related employment authorization sponsorship.
This is a hybrid position requiring three days in office per week in one of our hub locations (Cedar Rapids, Denver, Baltimore, Philadelphia). Relocation assistance will not be provided for this position.
This job description is not a contract of employment nor for any specific job responsibilities. The Company may change, add to, remove, or revoke the terms of this job description at its discretion. Managers may assign other duties and responsibilities as needed. In the event an employee or applicant requests or requires an accommodation to perform job functions, the applicable HR Business Partner should be contacted to evaluate the accommodation request.