Data Analytical Specialist/Scientist - Senior

• Experience as a Data Engineer/ETL Developer in building Business Intelligence products
• Data Interpretation and Insight Generation: Strong ability to interpret data, identify trends and patterns, and generate meaningful insights that support business decision-making.
• Experience with Data Mining Techniques: Proficiency in data mining techniques and methodologies, including clustering, classification, regression, and association rules, to extract valuable information from large datasets.
• Experience in Data Warehousing: Understanding of data warehousing concepts and experience in working with data warehouse technologies.
• Knowledge of Data Integration Techniques: Skills in integrating data from various sources and formats for comprehensive analysis.
• Proficiency in Data Analytics Tools: Expertise in using data analytics tools such as Python (Pandas, NumPy, SciPy), R, or SAS for complex data manipulation and analysis.

• Documentation, Collaboration & Communication Skills
• Clarity in Complex Business Challenges: Ability to bring clarity to complex business issues and articulate business process requirements versus technology solutions effectively.
• Excellent Verbal and Written Communication: Demonstrated excellence in both verbal and written communication, including the ability to convey complex data concepts in understandable terms.
• Interpersonal and Facilitation Skills: Strong interpersonal skills, with an ability to facilitate discussions and consensus among diverse groups.
• Effective Documentation Skills: Proficiency in creating clear and detailed documentation, including reports, guides, and process maps.
• Collaboration with Internal/External Stakeholders: Demonstrated ability to effectively partner with both internal and external stakeholders, fostering productive relationships.
• Teamwork and Cross-Functional Collaboration: Experience in working collaboratively in cross-functional teams, contributing to a cohesive team environment.
• Presentation Skills: Strong presentation skills, capable of delivering insights and findings to both technical and non-technical audiences.
• Conflict Resolution and Negotiation Skills: Ability to resolve conflicts and negotiate effectively, maintaining a focus on business objectives.
• Time Management and Organizational Skills: Demonstrated effective time management skills, with the ability to prioritize tasks and meet deadlines in a dynamic environment.
• Adaptability and Flexibility: Ability to adapt to changing business needs and technology landscapes, maintaining effectiveness in varying environments.
• Stakeholder Management: Experience in managing stakeholder expectations and maintaining open lines of communication throughout project lifecycles.
• Critical Thinking and Problem-Solving: Strong critical thinking skills, with an ability to analyze problems, identify root causes, and develop innovative solutions.

• Demonstrated experience with data analytics platforms including: Microsoft Azure Synapse, Microsoft Data Factory, Databricks
• Demonstrated experience with data warehouses including: Microsoft SQL Server, Snowflake, Databricks Deltalake, Microsoft Azure Data Lake
• Demonstrated experience with data analytics projects including business intelligence (using Power BI)

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