Senior Data Intelligence Analyst

Jobtailor

São Paulo

Presencial

BRL 180 000 - 300 000

Tempo integral

14 dias+

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Resumo da oferta

Jobtailor is seeking a data analytics professional to design analytical architectures and data methodologies within the CRM Business Unit. You will build models, pipelines, and dashboards, applying propensity, churn, and LTV analytics while enabling executive data storytelling.

You will also run A/B tests, integrate AI copilots into CRM workflows, and mentor junior analysts, ensuring business impact through clear, data-driven decisions.

Qualificações

Proficient in data analysis, statistics, and data intelligence.
Advanced SQL for data extraction and wrangling.
Python and/or R for data modeling and analytics.
Hands-on with Databricks and cloud data environments.
Experience with propensity, churn, and LTV models; segmentation algorithms.
BI tools expertise (Power BI/Tableau/Looker).
Mentorship and clear communication with stakeholders.

Responsabilidades

Design analytical architectures and data methodologies for CRM.
Build data models and analytical pipelines.
Develop and apply advanced statistical and ML models (propensity, churn, LTV).
Standardize dashboards and metrics layer within the BU.
Run A/B tests and experimentation to optimize campaigns.
Translate analyses into actionable executive-level storytelling.
Incorporate AI tools and copilots into CRM analytics workflows.

Conhecimentos

Data Analysis

Statistical Modeling

Advanced SQL

Python

BI Tools

A/B Testing

Data Storytelling

Formação académica

Databricks Certification

Google Cloud Professional Data Engineer

Azure Data Certification

Ferramentas

Databricks

Salesforce Einstein

Agentforce

Power BI

Tableau

Looker

Descrição da oferta de emprego

Technical data role within the CRM Business Unit, designing analytical architectures and defining data methodologies.
Designing data models and analytical pipelines.
Developing and applying advanced statistical and machine learning models covering propensity, churn, LTV and segmentation.
Standardizing and evolving the BU's dashboard and metrics layer.
Designing, executing and analyzing A/B tests and experimentation routines to optimize campaigns.
Translating complex models and analyses into actionable strategies and data storytelling presentations for executive audiences.
Integrating Artificial Intelligence resources and copilots into the analytical workflow and CRM tools (such as Salesforce Einstein and Agentforce).
Guiding analytical decisions and serving as a technical reference for junior and mid-level analysts on the team.
Identifying automation opportunities to increase analytical efficiency, reduce rework and optimize operational margins.

Requirements

Strong experience in data analysis, statistical modeling and data intelligence.
Advanced SQL proficiency for data extraction, manipulation and structuring.
Proficiency in Python (pandas, scikit-learn, XGBoost) and/or R focused on data modeling.
Hands-on experience with Databricks and cloud data environments/architectures.
Experience developing and applying propensity, churn and Lifetime Value (LTV) models, as well as segmentation algorithms.
Proficiency with BI tools such as Power BI, Tableau or Looker.
Knowledge of data model design and the structuring of analytical pipelines.
Experience designing and analyzing A/B tests and experimentation methodologies.
Knowledge and application of generative AI tools, SQL/Python code assistants and AI stacks for CRM.
Ability to provide technical mentorship and communicate clearly with analysts and stakeholders.
Cloud/Data certifications (Databricks, Google Cloud Professional Data Engineer, Azure Data) or BI certifications are considered a plus.
Ability to deliver structured data storytelling for communication with leadership and executive levels.
Technical autonomy to define analytical approaches and prioritize requests with a focus on business impact.

Core Competencies

Demonstrates expertise in data analysis, statistical modeling, and the design of analytical architectures, with a strong focus on delivering actionable insights and data storytelling for executive audiences. Proficient in advanced SQL, Python, and BI tools, with a solid understanding of cloud data environments and generative AI applications.

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