Senior Data Analyst (Data Science)

Trigyn Technologies; Valencia; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

An established industry player is seeking a Senior Data Analyst to join their innovative team. This role offers the opportunity to work remotely and collaborate with a multidisciplinary team to design and develop cutting-edge analytical solutions. You will leverage your expertise in data science, machine learning, and artificial intelligence to solve complex business problems. The ideal candidate will have a strong background in data visualization and statistical analysis, as well as proficiency in programming languages such as Python and SQL. Join this forward-thinking organization and make a significant impact in the field of data analytics.

Formación

• 5+ years of experience in data science with strong analytical capabilities.
• Hands-on experience with machine learning and AI technologies.

Responsabilidades

• Design and develop analytical solutions using data analytics and AI.
• Analyze structured and unstructured data to uncover insights.

Conocimientos

Data Science

Machine Learning

Data Visualization

Data Mining

Artificial Intelligence

Statistical Analysis

Python

SQL

R

Java

Educación

Bachelor's Degree in Data Science or related field

Herramientas

Tableau

QlikSense

MS Power BI

SAP Lumira

TensorFlow

PyTorch

Hadoop

Spark

Descripción del empleo

Trigyn has a contractual opportunity for a Senior Data Analyst. This resource will be working remotely at our client site.

Job Responsibilities:

• Works with a multidisciplinary team to design, develop and create analytical solutions through applications of Data Analytics, Data Mining, Data Visualization, Machine Learning, Neural Nets and other areas of Artificial Intelligence.
• Coordinate and integrate the work of data engineers, data scientists, statisticians, actuaries.
• Analyse source data, working with structured and unstructured data.
• Manipulate high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships, and trends.
• Obtain and create new data sets using data collection tools or scraping data from third party sources.
• Manage multiple research and implementation projects simultaneously.
• Present analysis and recommendations to target audiences.

Required Skills:

• A minimum of 5 years experience in data science.
• Provide analytical capabilities beyond traditional predictive modelling including machine learning and artificial intelligence.
• Capacity to provide hands-on as well as guidance and mentorship to members of a team.
• Understand business needs and apply data science, artificial intelligence and machine learning technology to solve business problems.
• Ability to build and optimize models using machine learning techniques including feature selection and engineering, boosting, deep learning and ensembles.
• Strong ability and knowledge of database principles, data profiling, statistics and data modelling and can apply this knowledge in new or complex situations.
• Visualization: Ability to design interactive data interfaces for communicating stories with data and unveiling insights within complex datasets.
• Relevant statistical analysis work experience required.
• Strong computer programming language skills in multiple languages and data management tools.
• Experience in one or more of the following: Machine Learning Libraries, TensorFlow, PyTorch, Machine Vision, and Natural Language Processing, Python, R, Java, SQL, Hadoop or Spark.
• Experience with data analytics suites of major vendors and data visualization tools such as Tableau, QlikSense, MS Power BI, SAP Lumira and similar.

Other skills:

• Ability to understand organizational roles, mandates, and responsibilities.
• Creativity.
• Ability to build trust with clients.
• Ability to learn new topics autonomously.
• Experience with managing and contributing to open source software projects.
• Ability to take action in solving problems while exhibiting judgment and a realistic understanding of issues; ability to use reason; review facts, identify inconsistencies and weigh options; ability to make logical and timely decisions that address the right issues.