Marketing and Sales BI Analyst

Data Vimenca is looking for a Marketing and Sales BI Analyst!
Role Description:
This is a full-time, on-site Marketing and Sales BI Analyst role based in Santo Domingo. The person in this position will collaborate with marketing, sales, and leadership teams to translate business questions into clear analytical requirements and data-driven insights. Day-to-day responsibilities include collecting and transforming data from multiple sources, building data models, and developing dashboards and reports that track campaign performance, lead funnels, conversion metrics, and revenue trends. The role involves monitoring key performance indicators, identifying patterns and opportunities, and providing actionable recommendations to optimize marketing spend, sales effectiveness, and client acquisition strategies. The Marketing and Sales BI Analyst will also help improve data quality, document reporting processes, and support ad hoc analyses to guide strategic and operational decisions.
Responsibilities:
Primary point person to track and guide business performance overall and intraday. Own audits to identify trends and concerns, apply standardized practices, and reinforce best methods for data analytics.Provide positive or negative alarm when operations change from expected trajectory. MUST be the first to catch the deviation, assess it, and initiate informative and corrective conversations. Identify cohorts and underlying drivers that are affecting metrics. Stay current with the latest trends and developments in data analytics. Answer challenging business questions daily with data and recommendations through reporting, analysis, experimentation, and modeling. The reporting created should be diagnostic in design and simple to use. Analysis should exhibit concise storytelling with clear insights and actionable recommendations. Experimentation should be statistically sound in design and measurement. Modeling should accurately predict or score using an appropriate approach and confidence.
Education & Experience:
Experience with digital marketing and a lead generation business is required.Marketing analytics experience is strongly preferred; Attribution, MMM, etc. Advanced proficiency with SQL (DML, DDL, query optimization). Intermediate proficiency with a statistical language; Python preferred. Intermediate proficiency with Tableau. Proven ability to position oneself to advise and teach across a data organization. Excellent verbal, written, and interpersonal communication skills. Bachelor's degree in quantitative field or an equivalent experience, preferably in Computer Science, Computer Engineering, Applied Mathematics, Data Science.