[VO2 Data] - Data Analyst Dataiku

Shrnutí práce
Plný úvazek
Paris
Plat: Neuvedeno
Několik dní doma
Dovednosti a odbornost
Spolupráce a týmová práce
Dovednosti řešení problémů
Dataiku
Sql
Python

VO2 GROUP
VO2 GROUP

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Job Responsibilities

As a Data Analysis Dataiku Consultant within our data-specialized team your responsibilities will include:

Collaborating with clients to understand their business objectives and data analysis requirements.

Designing and developing data pipelines and workflows in Dataiku to ingest, transform, and prepare data for analysis.

Conducting exploratory data analysis to identify patterns, trends, and anomalies in the data.

Building and deploying machine learning models using Dataiku's automated machine learning capabilities.

Developing and maintaining Dataiku dashboards and visualizations to present data insights to stakeholders.

Integrating external data sources and APIs into Dataiku projects for comprehensive analysis.

Providing technical support and guidance to clients on Dataiku-related issues and best practices.

Collaborating with data engineers and other team members to optimize Dataiku workflows and processes.

Staying updated on industry trends and advancements in data analysis and machine learning techniques.

Contributing to the development and improvement of data analysis methodologies and tools within the company.

Profile Desired

We are seeking a candidate with the following qualifications and attributes:

Strong proficiency in Dataiku, including data preparation, modeling, and deployment functionalities.

Experience in data analysis, machine learning, and statistical analysis techniques.

Knowledge of programming languages such as Python or R for data manipulation and analysis.

Familiarity with SQL for querying and manipulating databases.

Excellent problem-solving skills and attention to detail.

Strong communication skills, with the ability to effectively convey complex technical concepts to non-technical stakeholders.

Ability to work independently as well as collaboratively within a team environment.

A proactive approach to learning and staying updated on new technologies and methodologies in the data analysis field.

Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. A master's degree is preferred but not required.

Relevant certifications in Dataiku or related data analysis tools would be advantageous.

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