Data Solutions Consultant

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. What You’ll Do: Define data strategies and analytical frameworks tied to business outcomes 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 Partner with Sales throughout the deal lifecycle—from discovery to expansion Create reusable frameworks, demos, and use‑case narratives Identify gaps, trends, and new opportunities in client use of data Provide input to Product and R&D on roadmap, datasets, and integrations What you bring to Similarweb: 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 Have Experience in investing, Big Tech, OEM/data products, or enterprise analytics The base salary range for this position in New York City is $90,000 to $145,000, plus benefits including medical, dental and vision insurance, 401K plan, potential equity, employee stock purchase plan and paid sick and parental leave. In addition, this position is eligible to participate in the company’s sales incentive plan, with a maximum target OTE of up to $165,000, depending upon the final terms of employment and achievement of established targets. Individual compensation is based upon a number of factors, including qualifications and relevant experience. The base salary range above is for the New York City metro area and could vary for candidates in other locations. As set forth in Similarweb’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. We do not discriminate based on race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality or identity and experience. #J-18808-Ljbffr