Business Analytics Consultant (Ecommerce)

About the role

Salvit uses data and AI to advise ecommerce businesses on growth, marketing and profitability. It is looking for an analytical consultant who enjoys solving business problems and working directly with clients, owning engagements from investigation through presentation and follow-up, and leading stakeholder conversations in English.

Key responsibilities

• Understand each client's ecommerce goals and priorities, turn them into analytical questions and investigate sales, marketing spend, acquisition, retention and profitability.
• Use AI to explore questions, test explanations and refine analyses, checking results until conclusions can be explained and defended.
• Prepare projections, scenarios, performance reviews and presentations tailored to each client's decisions.
• Lead client meetings in English, discuss business implications and agree on next steps.
• Manage priorities and follow through on commitments, keeping context, analyses, decisions and tasks organised in the knowledge database.
• Keep client data usable by updating, cleaning and categorising it, and coordinate complex issues with the technical team.

Required profile

• Strong analytical reasoning and business judgment, comfortable with numbers, spreadsheets and basic statistics.
• Excellent spoken and written English, able to lead meetings and speak confidently in unscripted conversation.
• At least 2 years of experience in analytics, consulting, business analysis or a related role.
• Able to learn a new business quickly, question assumptions and work through ambiguous problems.
• Comfortable using AI tools to investigate, analyse and prepare deliverables, with judgement to verify their outputs.
• Interest in both analytical work and direct client conversations, and able to tell supported findings from assumptions.
• Organised and able to manage several clients within an agreed scope.

Preferred experience

• Ecommerce, digital marketing or finance experience.
• Presenting analyses to clients, founders or senior stakeholders.
• Forecasting, budget planning or business performance reporting.
• Familiarity with SQL, BigQuery, data pipelines, semantic layers and AI workflows.