What are the responsibilities and job description for the Data Analyst - Asset finance position at ValueMomentum?
Must have experience with Equipment finance, Equipment Leasing or Equipment Lending, Asset finance like wise.
The Data Analyst responsibilities include:
- Perform in-depth data analysis to provide actionable insights that inform business strategies.
- Apply expert-level analytical and problem-solving skills to diagnose and resolve intricate data issues.
- Collaborate with stakeholders and cross-functional teams to identify and prioritize analytical needs, translating business requirements into comprehensive technical specifications.
- Utilize advanced analytic techniques to uncover patterns and trends.
- Present findings and recommendations to both technical and non-technical audiences.
- Drive data accuracy and integrity by uncovering data quality issues and working with peers and peer teams on resolution.
- Provide mentoring and guidance to junior team members, promoting a culture of knowledge sharing and collaborative problem-solving.
- Ensuring data security and compliance with relevant regulations and best practices in all data operations.
- Provide assistance in troubleshooting and resolving data and system issues, stepping in when necessary to address outages and challenges.
Qualifications/Competencies:
- Excellent problem-solving abilities and attention to detail.
- Strong analytical and SQL skills
- Experience in Hadoop and Microsoft Azure
- Experience in InfoLease and Salesforce.
- Experience with any of the following systems : LeasePlus, ProfitStars, Visions, Stucky, Workday Financials.
- Proven ability to work collaboratively in a team-oriented environment.
- Proven ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment.
- Excellent communication skills, with the ability to influence and engage both technical and non-technical audiences.
- Exhibit a thorough understanding of Data Lake architecture, including raw, enriched, and curated layer concepts, and ETL/ELT operations.
- Experience working with data integration techniques & self-service data preparation.
- Experience in requirements analysis, design, and prototyping.
- Demonstrated experience of turning business use cases and requirements into technical solutions.
- Ability to conduct data profiling, cataloging, and mappings for technical design and construction of data flows.
- Strong collaboration and experience working with remote teams.
- Strong problem-solving skills.
- Showcase excellent communication and presentation skills for effective collaboration with technical and non-technical stakeholders.
- Strong analytical skills and a drive to learn and master new technologies and techniques.
