Remote Data Analytics and Operations Associate Jobs | Turing
Posted 2025-04-06
Remote, USA
Full-time
Immediate Start
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:  BachelorÂs/MasterÂs 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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