Data Analytics and Operations Associate
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Job description
A multi-stage international investment company that is revolutionizing the finance industry with its revolutionary products, is looking for a Data Analytics and Operations Associate. The selected candidate will be in charge of tackling complex tasks through problem-solving skills and analytical abilities. The US-based company offers a variety of funding strategies that are tailor-made to fit the needs of startups and other businesses in their growth cycle.
Job Responsibilities:
- Manage existing portfolio of financial and performance data processes and platforms
- Drive insights through analysis to create value at the organizations
- Configure and maintain business and technical processes for receiving, integrating, and maintaining data from internal and external sources in warehouses and third-party data management platforms
- Set up new processes to streamline existing ones to receive, manage, and report data using business requirements and needs of stakeholders
- Translate requirements into technical solutions and outputs while communicating with third-party vendors
- Collaborate with Senior Managers of SODS to build, analyze, and create analytical reports to help understand business and team performance and increase the efficiency of business operations
- Assist in building ML models and rules-based tools to augment investment team's (early stage and growth stage) deal sourcing and investing process
- Help the BI team to validate and QC portfolio company and internal B Capital data sets and analysis
- Work alongside platform and technology team leadership define the implementation of new software and technology systems
- Work with the Platform, Investment, and Operations teams on ad hoc projects and requests
Job Requirements:
- Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
- At least 5+ years' experience in Business Intelligence, Data Analysis, Business Systems Analysis, or related field
- Deep understanding of venture capital and finance fields
- Expertise in coding with languages like Python or Ruby
- Professional experience of working with data visualization and analytical tools like Looker or Tableau
- Proficiency in working on Excel
- Ability to work with technologies like SQL
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