Data Strategist - Data Strategy & Integration

Similarweb•New York, NY

5d•$90,000 - $145,000•Hybrid

About The Position

At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online. Our unique data and solutions empower over 6,000 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies. In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights. Work alongside Similarwebbers from around the globe who are bright, curious, practical, and genuinely good people. We're hiring a Data Strategist to blend technical fluency, analytical thinking, and business acumen to help customers turn Similarweb data into scalable impact. You’ll partner with Sales, Account Management, Data Solution Engineers, and client-side technical leaders to define how data is applied, integrated, and operationalized across complex environments. Acting as a trusted advisor, you’ll own data strategy, use-case design, and cross-functional execution from concept through early delivery. This is a customer-facing, revenue-influencing role supporting new business, expansion, and long-term partnerships across Investors, Big Tech, OEMs, and Enterprises.

Requirements

Minimum three years in data strategy, analytics, data science, or technical pre-sales
Experience leading complex, multi-stakeholder data initiatives
Background working with senior technical stakeholders (e.g., CTOs, Heads of Data Science)
Strong SQL and/or Python for data analysis
Familiarity with APIs, cloud platforms, and modern data ecosystems (Snowflake, Databricks, AWS/GCP)
Experience building data samples or analytical prototypes
Strong ability to translate data into clear business value
Excellent communication and stakeholder management skills
Comfortable operating in ambiguity and driving clarity

Nice To Haves

Experience in investing, Big Tech, OEM/data products, or enterprise analytics

Responsibilities

Data Strategy & Use-Case Design
Define data strategies and analytical frameworks tied to business outcomes
Translate business questions into scalable data use cases
Design solutions across investment research, product intelligence, OEM data products, and enterprise analytics
Identify opportunities for new metrics, benchmarks, and analytical approaches
Technical Project Management
Lead coordination across clients, GTM, Data Solution Engineers, and R&D
Scope and orchestrate data initiatives from discovery through early production
Translate requirements into technical briefs and align on feasibility, timelines, and trade-offs
Manage risks, dependencies, and stakeholder expectations
Data Integration & Enablement
Guide integration of Similarweb data into modern data stacks (APIs, cloud platforms, warehouses)
Partner with Data Solution Engineers to ensure scalable, feasible solutions
Advise on data structure, refresh cadence, and consumption
Data Analysis & POCs
Build data samples, prototypes, and POCs using SQL, Python, or BI tools
Validate use cases through insight-driven analysis
Communicate assumptions and trade-offs clearly to diverse audiences
Domain Expertise & GTM Collaboration
Develop deep expertise in key verticals (Investors, Big Tech, OEM, Enterprise)
Partner with Sales throughout the deal lifecycle—from discovery to expansion
Create reusable frameworks, demos, and use-case narratives
Innovation & Feedback
Identify gaps, trends, and new opportunities in client use of data
Provide input to Product and R&D on roadmap, datasets, and integrations