Senior Data Analyst

Xceed Contact Center -
Cairo, Egypt

Senior Data Analyst

Full Time

On-site

Xceed Contact Center -
Cairo, Egyptposted 1 month ago

279Applicants for1 open position

30Viewed

4In Consideration
0Not Selected

Job Details

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Job Description

Job Duties & Responsibilities:

Lead the design and execution of complex data analysis projects, identifying trends, patterns, and actionable insights to support strategic decision-making.
Perform advanced exploratory data analysis using tools such as Python, or SQL.
Develop and implement statistical models and predictive analytics to solve business challenges.
Build and refine data models, including forecasting and trend analysis, to predict outcomes and optimize processes.
Develop and evaluate predictive models using machine learning algorithms (e.g., regression, classification, clustering).
Design and maintain complex dashboards and interactive visualizations using Tableau, Power BI, or similar tools.
Present findings through clear, concise, and impactful reports tailored to both technical and non-technical audiences.
Automate reporting processes to ensure timely delivery of insights to stakeholders.
Partner with cross-functional teams, including product, marketing, and operations, to identify analytical requirements and deliver data-driven solutions.
Translate business needs into technical solutions, ensuring alignment with organizational objectives.
Act as a key point of contact for stakeholders, providing regular updates on project progress and insights.
Provide guidance to junior analysts on data analysis techniques, best practices, and tools.
Review and validate work from team members to ensure accuracy and quality.
Support the development of a knowledge-sharing culture within the team.
Identify inefficiencies in current data workflows and recommend improvements to streamline processes.
Stay informed about the latest advancements in data analysis, machine learning, and visualization tools, and implement relevant innovations.
Contribute to the creation of reusable data science assets and frameworks for the organization.
Ensure adherence to data governance policies, security standards, and ethical practices in all analytical workflows.
Monitor and improve data quality to maintain the integrity of datasets used for analysis.

Job Requirements

Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related field
3+ years of hands-on experience in data analysis, modeling, and visualization.
Proven track record of delivering actionable insights and solutions to business problems
Advanced proficiency in SQL for querying and managing large datasets.
Expertise in Python, including libraries such as pandas, NumPy, matplotlib, and scikit-learn.
Proficiency in Tableau, Power BI, or similar visualization tools for creating dynamic dashboards and reports.
Strong understanding of statistical techniques, hypothesis testing, and predictive modeling.
Experience with machine learning techniques such as regression, classification, clustering, and feature engineering.
Basic understanding of ETL processes and familiarity with cloud-based data platforms (e.g., AWS, Azure, GCP).
Excellent communication skills to present complex findings clearly to diverse audiences.
Strong problem-solving skills and the ability to think critically about business challenges.
Proven ability to manage multiple projects simultaneously, meeting deadlines with high-quality deliverables.
Experience mentoring or supervising junior team members.
Ability to foster a collaborative and supportive team environment.
Familiarity with big data tools (e.g., Spark, Hadoop) is a plus.
Exposure to advanced machine learning frameworks (e.g., TensorFlow, PyTorch) is advantageous but not required