Expert Data Analyst

Abra Strategy Realization is recruiting Expert Data Analyst (For Part time role)

A little about our activity: Specializes in developing and implementing a range of management solutions in systemic, engineering, and technological projects in the construction sector, civil infrastructure, IT, communications, software, Défense industries and the hi-tech industry, combining advanced technologies.

We are seeking an experienced and highly skilled Data Analyst to join our team.

The ideal candidate will be proficient in analyzing complex datasets, deriving actionable insights,

and providing strategic recommendations to drive business decisions. As an expert in your

field, you will lead data initiatives, mentor junior analysts, and collaborate with cross functional

teams to ensure data-driven success.

Key Responsibilities:

Data Analysis and Insights:

Collect, clean, and analyze large and complex datasets to uncover trends, patterns, and business opportunities.
Translate data insights into actionable recommendations and strategic decisions.

Data Visualization:

Create compelling dashboards, reports, and visualizations using tools like Tableau, Power BI, or similar platforms.
Communicate insights eIectively to both technical and non-technical stakeholders.

Statistical Analysis and Modeling:

Perform advanced statistical analyses, hypothesis testing, and predictive modeling.
Apply techniques such as regression analysis, clustering, and time-series forecasting to solve business problems.

Requirements:

Bachelor’s or master’s degree in data science, Statistics, Mathematics, Computer Science, or related field.
5+ years of experience in data analysis or similar roles.
Proven ability to deliver actionable insights that drive business outcomes.
Advanced proficiency in SQL, Python, or R.
Expertise in data visualization tools (e.g., Tableau, Power BI, Looker).
Familiarity with big data tools (e.g., Hadoop, Spark) and cloud platforms.
Experience with machine learning techniques or working knowledge of AI.
Familiarity with MLOps tools and practices.
Knowledge of specific industry domains (e.g., finance, healthcare, retail).