The Consultant – Data Management and Analytics supports the Chief Data Officer (CDO), Data Architect, and Data Analysts in aligning data strategies with organizational goals. He/she applies statistical and computational techniques to extract actionable insights from large, complex datasets. He/she contributes to the design, implementation, and deployment of scalable, reliable, and secure data solutions in business environments.
Responsibilities:
Support the Chief Data Officer (CDO), Data Architect, and Data Analysts in aligning data strategies with organizational goals. Apply statistical and computational techniques to extract actionable insights from large, complex datasets.
Contribute to the design, implementation, and deployment of scalable, reliable, and secure data solutions in business environments.
Work closely with data engineers and architects to define data requirements and ensure comprehensive data accessibility.
Assist in applying analytical methods, including machine learning and deep learning algorithms, to identify complex patterns and trends.
Participate in data cleaning, statistical analysis, and the creation of visualizations to communicate findings effectively to diverse stakeholders.
Provide actionable, data-based recommendations to support strategic and operational decision-making.
Conduct exploratory data analysis, data transformation, and trend identification.
Develop predictive models using techniques such as linear/logistic regression, neural networks, decision trees, and experimental design.
Collaborate with business departments to support the development of data products tailored to specific operational and strategic needs.
Assist in translating business requirements into technical specifications and contribute to the design and prototyping of data-driven applications.
Use statistical programming languages (e.g., Python, R) and database querying tools to automate workflows and enhance data accessibility.
Assist in the implementation and maintenance of Data Lakehouse architecture.
Support data modeling, data integration, and data engineering tasks under the guidance of senior team members. Participate in data ingestion, transformation, and quality assurance processes to ensure a unified and efficient data platform.
Help interpret and consolidate large volumes of data into clear, actionable insights.
Support the CDO in communicating analytical results and their implications to business stakeholders.
Contribute to the development and maintenance of data governance frameworks, including: Data Governance Policies, Data Quality Management Standards, Data Analytics Guidelines, Data Cataloging and Lineage Practices, and any other Governance and Compliance Frameworks.
Requirements:
Bachelor's Degree - University degree in Computer Science, Data Management, Information Management, Data Analytics, Statistics, Engineering, or a related field or a relevant field.
Advanced university degree (Master's or equivalent).
A first-level university degree in Computer Science, Data Management, Information Management, Data Analytics, Statistics, Engineering, or a related field or a relevant field. .
Minimum of one year of relevant experience in one or more of the following areas: Data Management or Information Management, Data Science or Analytics, Data Engineering, Artificial Intelligence (AI) or Machine Learning (ML).
