Data Analyst
AI Summary
A Data Analyst who partners with commercial, operations, and fraud teams to turn scattered data into actionable insights and automate manual workflows.
About this role
Key responsibilities
Partner with the commercial team to understand reporting needs and translate them into dashboards, KPIs, and actionable insights ( SQL, Python).
Act as a key point of contact for cross-functional stakeholders (sales, operations, finance) requesting data analysis or process automation support.
Manage and optimize the CRM (Zoho CRM): modules, custom fields, workflows, assignment rules, and data quality.
Clean, validate, and normalize data (names, phone numbers, emails, geolocation) to ensure data quality across merchant/customer databases.
Present findings and recommendations to commercial leadership and other stakeholders in a clear, actionable format.
Perform other duties and responsibilities as assigned by the department, based on evolving business needs.
Requirements
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Bachelor's degree in Business Administration, Industrial Engineering, Data Science, Economics, or a related field. 2+ years of experience in data analysis, business operations, or CRM-related roles. Intermediate-to-advanced SQL skills (Snowflake, BigQuery, or similar preferred). Experience administering a CRM (Zoho CRM, HubSpot, Salesforce, or other). Advanced Google Sheets/Excel skills (formulas, pivot tables, data validation). Strong analytical and problem-solving skills, with the ability to work with ambiguous or incomplete data. Excellent communication skills, with the ability to translate technical concepts for non-technical, commercial-facing stakeholders. Ability to manage multiple priorities and collaborate effectively across departments. Nice to have: basic Python, BI tools (Hex, Looker, Power BI) or exposure to fintech/retail environments with field sales operations. |
Benefits
Skills
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