Senior Data Analyst

Viña del Mar - Chile

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Our client is a multinational company specialized in AI-powered analytics and advanced data solutions with presence in more than 45 countries worldwide. They are currently seeking a Senior Data Analyst to join their team.

Mission:

As a Senior Data Analyst within the Data Analytics team you will be responsible for building reliable data foundations that power marketing reporting insights and downstream analytics. This role focuses on data engineering pipeline automation and marketing analytics going beyond traditional reporting to enable scalable analytics capabilities and data-driven business growth.

Main responsibilities/functions:

Data Pipeline Development:
Develop maintain and automate marketing data pipelines across multiple data sources ensuring scalability and reliability.
ETL / ELT Processes:
Design and implement ETL/ELT processes using Snowflake SQL and data integration tools to support marketing analytics environments.
Data Engineering & Code Quality:
Write clean efficient and well-documented code for data ingestion transformation and validation ensuring high data quality and consistency.
Marketing Performance Analytics:
Analyze performance across marketing channels including performance media SEO CTV social and other digital channels.
KPI Reporting & Dashboards:
Develop dashboards and reports tracking KPIs such as CAC LTV conversion rates funnel performance retention and campaign effectiveness.
Insights & Optimization:
Identify trends anomalies and optimization opportunities to improve marketing spend and campaign performance.
Collaboration with Data Science:
Partner with data scientists and business teams to support MMM dashboards and performance reporting.
Data Quality & Troubleshooting:
Ensure data accuracy and consistency proactively troubleshooting gaps anomalies and integration issues.
Stakeholder Communication:
Prepare reports and presentations communicating findings effectively to technical and business stakeholders in an international environment.

Key competencies:

Data Engineering & Automation:
Strong experience building and automating data pipelines and scalable workflows.
Coding Skills:
Hands-on expertise in Python and SQL.
Marketing Analytics Knowledge:
Solid understanding of media channels marketing KPIs attribution concepts campaign performance and funnels.
Visualization & Reporting:
Experience with data visualization tools such as Looker Tableau or Power BI.
Detail Orientation:
Exceptional attention to detail and commitment to data accuracy.
Collaboration & Autonomy:
Comfortable working as an individual contributor while collaborating with cross-functional teams.
Analytical Thinking:
Strong problem-solving skills with the ability to translate data into actionable business insights.
Communication:
Strong written and verbal English communication skills.

Requierements:

Bachelors or advanced degree in Statistics Data Analytics Digital Marketing or related field or equivalent relevant work experience.
57 years of experience in marketing analytics or data analyst roles (highly specialized profiles with slightly fewer years may also be considered).
Proven experience building and maintaining data pipelines using SQL.
Strong experience working with large-scale marketing or retail datasets.
Industry experience within a Retail CPG or Marketing Analytics. environment is preferred.
Familiarity with marketing measurement approaches (MMM attribution experimentation) is a plus.
Exposure to machine learning or predictive modeling is a plus.
This is a highly technical role requiring hands-on coding and data engineering capabilities.
Advanced English communication skills (written and spoken).

If your profile matches the position please click on APLICAR AQUI or click on REFERIR to introduce someone you think has a good profile for the position.

Mission:

Main responsibilities/functions:

Data Pipeline Development:
Develop maintain and automate marketing data pipelines across multiple data sources ensuring scalability and reliability.
ETL / ELT Processes:
Design and implement ETL/ELT processes using Snowflake SQL and data integration tools to support marketing analytics environments.
Data Engineering & Code Quality:
Write clean efficient and well-documented code for data ingestion transformation and validation ensuring high data quality and consistency.
Marketing Performance Analytics:
Analyze performance across marketing channels including performance media SEO CTV social and other digital channels.
KPI Reporting & Dashboards:
Develop dashboards and reports tracking KPIs such as CAC LTV conversion rates funnel performance retention and campaign effectiveness.
Insights & Optimization:
Identify trends anomalies and optimization opportunities to improve marketing spend and campaign performance.
Collaboration with Data Science:
Partner with data scientists and business teams to support MMM dashboards and performance reporting.
Data Quality & Troubleshooting:
Ensure data accuracy and consistency proactively troubleshooting gaps anomalies and integration issues.
Stakeholder Communication:
Prepare reports and presentations communicating findings effectively to technical and business stakeholders in an international environment.

Key competencies:

Data Engineering & Automation:
Strong experience building and automating data pipelines and scalable workflows.
Coding Skills:
Hands-on expertise in Python and SQL.
Marketing Analytics Knowledge:
Solid understanding of media channels marketing KPIs attribution concepts campaign performance and funnels.
Visualization & Reporting:
Experience with data visualization tools such as Looker Tableau or Power BI.
Detail Orientation:
Exceptional attention to detail and commitment to data accuracy.
Collaboration & Autonomy:
Comfortable working as an individual contributor while collaborating with cross-functional teams.
Analytical Thinking:
Strong problem-solving skills with the ability to translate data into actionable business insights.
Communication:
Strong written and verbal English communication skills.

Requierements:

Bachelors or advanced degree in Statistics Data Analytics Digital Marketing or related field or equivalent relevant work experience.
57 years of experience in marketing analytics or data analyst roles (highly specialized profiles with slightly fewer years may also be considered).
Proven experience building and maintaining data pipelines using SQL.
Strong experience working with large-scale marketing or retail datasets.
Industry experience within a Retail CPG or Marketing Analytics. environment is preferred.
Familiarity with marketing measurement approaches (MMM attribution experimentation) is a plus.
Exposure to machine learning or predictive modeling is a plus.
This is a highly technical role requiring hands-on coding and data engineering capabilities.
Advanced English communication skills (written and spoken).

If your profile matches the position please click on APLICAR AQUI or click on REFERIR to introduce someone you think has a good profile for the position.