Data Analyst
PARIS, 75
il y a 24 jours
- Analyze large datasets and generate insights for decision-making, leveraging statistical models, machine learning techniques, and advanced analytics to uncover trends and business opportunities.
- Clean, transform, and preprocess data from multiple sources , ensuring data accuracy, consistency, and reliability for in-depth analysis.
- Build interactive dashboards and reports using Power BI, Tableau, or Python (Dash, Matplotlib, Seaborn, Plotly) to present actionable insights to business leaders and stakeholders.
- Develop automated data pipelines and ETL processes , integrating data from APIs, databases, and cloud-based storage solutions for real-time analytics.
- Work with cross-functional teams , including product managers, marketing, finance, and operations, to drive data-driven decision-making and optimize business strategies.
- Apply statistical techniques and predictive modeling , such as regression analysis, clustering, forecasting, and anomaly detection, to enhance business intelligence and performance tracking.
- Ensure data governance, privacy, and compliance , adhering to industry regulations such as GDPR, HIPAA, or financial reporting standards to protect sensitive information.
- Stay ahead of emerging trends in data analytics , adopting AI-powered analytics, big data tools (e.g., Spark, Hadoop), and cloud platforms (AWS, Google Cloud, Azure) to enhance data capabilities.
Requirements:
- Experience with SQL, Python, R, or BI tools .
- Ability to interpret and present complex data.
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Entreprise
SN Horizon
Plateforme de publication
WHATJOBS
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