Provide insights to improve consumer experience and business results through data analysis.
Collect, combine, and analyze insights from internal and external data sources.
Define key indicators to measure performance and track results.
Gather and integrate external data including market trends, consumer behavior, and competitor insights.
Update, clean, maintain, and enrich databases for optimal data quality.
Conduct ad‑hoc deep‑dive analyses on topics such as segmentation across channels and regions.
Develop forecasting and predictive models for long-term insights.
Translate analytical findings into actionable recommendations for business initiatives.
Support channels and product teams in forecasting activities.
Deliver periodic reporting on key KPIs to stakeholders and sales channels.
Monitor and report on relevant trends within the database and communicate insights.

University degree in Mathematics, Statistics, Econometrics, or Quantitative Marketing.
Minimum of 3–5 years of experience in data mining, CRM, or direct marketing.
Proven experience in project management.
Proficient in SPSS, SAS, or similar statistical software.
Skilled in Cognos, SQL, or other data‑querying tools.
Strong analytical experience using software tools in a business‑oriented environment.
Experience with geo‑analytical software (e.g., Regiograph, MapInfo) is a plus.
Experience in retention activities and churn‑risk modeling is preferred.
Familiarity with campaign management tools is an advantage.
Experience working with Power BI is preferred.
Experience with Snowflake or similar cloud‑based data platforms is beneficial.
Experience in data quality management, including data cleansing, validation, and governance, is an added asset.

Business Analyst

Key skills