Senior Data Analyst

Description

• Provide technical support and assure data governance by managing access security and apply row level security.
• Collaborate with the team in various data management tasks, including data transformation, data analytics, PowerBI Datamart, and DataFlow.
• Implement and leverage Power Automate to automate processes and ensure proper data management practices by automating workflows.
• Create content and conduct training sessions for various teams and communicate effectively with different users and provide support in order to transform the program into self-analytics ecosystem.
• Collaborate with cross-functional teams to perform data analytics tasks and provide valuable insights for data-driven decision-making.
• Create and develop script to manage ETL pipelines using Python and Power BI to efficiently collect and process data from various sources.
• Assist in maintaining data catalog, business glossaries, and data dictionaries to ensure data consistency, integrity, and standardization.
• Develop and work on GIS Storymaps, utilizing geographical information to support compelling data visualizations and insights
• Support the development and maintenance of data engineering metrics dashboards and data mobilization dashboards to monitor data performance effectively.
• Work with Data Science Manager on addressing existing data debts within the current systems to improve data accuracy and reliability
• Participate in the creation of insightful Data About Data visualizations using Power BI, enabling an understanding of as-is, to-be, and in-progress data assets

Requirements

• Proficiency in Python, DAX, PowerBi, and GIS platforms, showcasing the ability to handle complex data-related tasks.
• Strong problem-solving skills and keen attention to detail, ensuring accurate and actionable data insights.
• Utilize Python, DAX, PowerBi, and GIS platforms proficiently to conduct data analysis and derive meaningful insights.
• Strong problem-solving and analytical skills.
• Detail-oriented and highly organized, with a keen eye for data accuracy and quality.
• Familiarity with ETL processes and tools, with proficiency in Python and Power BI being advantageous.
• Bachelor's (with at least 3-4 years’ experience) or Master's degree with (with at least 1-2 years’ experience) in data related domain, computer science, statistics, or a related field.
• Strong knowledge of data structures and data modeling concepts.
• In-depth knowledge of data cataloging, business glossaries, and data dictionaries, ensuring data accuracy and adherence to best practices.
• Proven experience as a Data Analyst, with a strong background in data management, analysis, and visualization.
• Excellent communication and interpersonal skills, enabling effective collaboration with team members and stakeholders.
• Excellent communication and teamwork abilities.
• Self-motivated and eager to learn about data engineering and data science practices.

Benefits

• Strong team spirit and a positive attitude, fostering a collaborative and supportive work environment.

Training + Development

Interview process

Visa Sponsorship

Security clearance