Research Manager - Data Research Operations Team - Night Shift

What is Findem:

Findem is the only talent data platform that combines 3D data with AI. It automates and consolidates top-of-funnel activities across your entire talent ecosystem, bringing together sourcing, CRM, and analytics into one place. Only 3D data connects people and company data over time - making an individual’s entire career instantly accessible in a single click, removing the guesswork, and unlocking insights about the market and your competition no one else can. Powered by 3D data, Findem’s automated workflows across the talent lifecycle are the ultimate competitive advantage. Enabling talent teams to deliver continuous pipelines of top, diverse candidates while creating better talent experiences, Findem transforms the way companies plan, hire, and manage talent. Learn more at

Why we need you:

Data is the backbone of our product. As a Research Manager at Findem, you will be responsible for the team that ensures our proprietary 3D data is accurate, comprehensive, and formulated to best serve our product/users. We’re looking for a driven individual with a growth mindset, extreme attention to detail, and a positive attitude who can motivate others to perform at their best.
What you'll do
  • Manage a team of 5-10 research analysts that comprises a shift of our round-the-clock operations
  • Understand the Findem platform, and how data supports our products
  • Coordinate and perform primary market data research on companies and candidates, using publicly available data sources and our proprietary data platform
  • Maintain data accuracy, completeness and freshness above required standards in Findem platform
  • Hire and develop top talent
  • Perform ad hoc reporting and analysis
  • Contribute to additional data research activities as appropriate
  • Validate data from vendors to match internal standards
  • Analyze results of projects and summarize to allow management to make decisions 
  • Constantly identify and act on opportunities to improve team performance, owning the associated change management
  • Develop and track metrics to drive team performance and business results
  • Communicate and collaborate with Internal teams (Product, Customer Success, Engineering, etc)
  • Escalate problems or variances in the information and data to the relevant owners and follow through on resolutions
  • Preferred Qualifications
  • 9+ years in Data Research, Data Operations, or related field
  • 3+ years of team management experience
  • Experience in managing critical operational processes with SLA responsibility
  • Experience gathering and analyzing large amounts of data and delivering business process improvements
  • Expertise in spreadsheets (MS Excel or Google Sheets) including formulae & macros
  • Experience with databases (querying and analyzing large datasets) such as SQL, MYSQL, and ETL Manager
  • A highly motivated, driven, and self-starting individual with a positive attitude
  • Organized and able to prioritize projects for self and others with good business acumen
  • Extreme curiosity to learn about the product/industry and our customers’ businesses
  • Work a flexible schedule – this role will entail being physically present to manage work during the Night Shift (5:30 pm to 2:30 am), on-site at our HSR, Bangalore office. As well as digital presence during off hours as needed to coordinate with our round-the-clock operations
  • Ability to pull data from databases (using Excel, Access, SQL, and/or other data management systems) is a plus
  • The role is full-time and comes with full benefits. We are globally headquartered in the San Francisco Bay Area with our India headquarters in Bengaluru.

    Equal Opportunity

    As an equal opportunity employer, we do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, protected veteran status or any other legally-protected characteristic.
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