NYC Tech Jobs and Startup Jobs

6

Head of Market Research

VTS
Greater NYC Area
4 days ago
+35
Our Head of Market Research will lead VTS’ research that will differentiate VTS, build and maintain a competitive advantage in the marketplace through market expertise, analysis, and insight. Your responsibilities will be to track and analyze the commercial real estate market with a focus on data collection, presentation, financial analysis. You will work closely with external research colleagues, brokerage professionals and clients. This role will also work in close collaboration with our Product team to ensure that we are constantly innovating the VTS solution and being the spokesperson for our clients and prospects.

General Manager, LeafLink Insights

LeafLink
Greater NYC Area
4 days ago
+21
Develop the strategic and operational plan to build and scale LeafLink Insights to be the undisputed category leader in cannabis data. Own the P&L for LeafLink Insights, setting revenue targets, quarterly OKRs, and growth plans and reporting on your progress against them. Build and manage relationships with customers and data partners. Routinely identify and test new opportunities for LeafLink Insights, scaling the ones that prove successful. Leverage the feedback of existing & potential customers to prioritize and plan product development. Recruit, build, cultivate and manage a best-in-class team to support the growth of our data product. Work together with Marketing to establish LeafLink as a thought leader in the data space through speaking engagements, PR placements, and data-driven content.

Director of Business Insights

Reonomy
Greater NYC Area
4 days ago
+42
As Reonomy's first Director of Business Insights, you will be a leader in the org building a team of BI Engineers and BI Analysts focusing on both the product and business side of Reonomy. Our BI team is the hub of critical business and product data including customer activity, product feature performance, transactions, and marketing funnel performance. You and your team will be at the crux of the business working cross-functionally to process, store, integrate, retrieve and analyze this data on behalf of the Revenue, Finance, and Product teams. You're diligent, proactive and understand how crucial delivering data insights and information is to both product and business teams. As our first Director of BI you have grit, a self-starter mentality, and a collaborative approach.

VP, Analytics

DigitalOcean
Greater NYC Area
1 week ago
+47
This leader will be leading the Analytics, Data Science, Business Intelligence, and Data Engineering functions, which collaborate stakeholders across the organization to catalyze business growth by providing robust and relevant analysis, insights, predictions, and actionable data-guided recommendations, built on a robust data and business intelligence platform. This role will act as the driving force in communicating the relevant findings needed to steer strategic decision making at the Executive level, whilst ensuring the team is enabled to execute on key insights projects and broad cross-functional initiatives. DigitalOcean is a highly collaborative company. You will be engaging with business teams from engineering, product, marketing, sales, finance and people, to cut through the noise and provide actionable intelligence.

Senior Business Analyst

Manager of Data Science

Orchard
Greater NYC Area
2 weeks ago
+22
We are currently seeking a driven, results-oriented Data Science Manager for our team. The ideal candidate is pragmatic and has great instincts for which modeling changes are most likely to bear fruit. Most Importantly, the Data Science Manager must be able to drive the team to obtain the best possible performance and is unabashed in providing feedback and even engaging in conflict if need be in order to make the team successful. The existing team is small (two data scientists), so it is expected that the Manager would be a player-coach, spending about 75% of their time making substantive individual contributions. The candidate should be accustomed to delivering results in hours and days rather than weeks or months.

Senior Engineering Manager, Data

Better.com
Greater NYC Area
1 month ago
+23
Data Engineering: build pipelines that run in production, integrate new datasets, get everything into our data warehouse, build self-service platforms for the rest of the organization, etc. Data Analytics: work very closely with product managers or people in the business to understand how we can optimize the product, reduce user friction, improve user experience, optimize our acquisition budget, etc.  Data Science: build models to predict conversion rates and use for lead scoring, optimizing ad spend, etc.

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