Solutions Consultant - Financial Services

We're hiring a Data Strategist to blend technical fluency, analytical thinking, and business acumen to help customers turn Similarweb data into scalable impact.

Responsibilities

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; 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; 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; 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; Develop deep expertise in Investors; 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

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 have

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

Benefits

medical, dental and vision insurance; 401K plan; potential equity; employee stock purchase plan; paid sick and parental leave; sales incentive plan with maximum target OTE of up to $165,000; regular team outings and happy hours; Career Week, personalized coaching, and ongoing learning solutions