Data Analyst II

Job Summary:

The Data Analyst II role consults with internal stakeholders to understand problems, collect and analyze data to support data driven business decisions.  This role uses data tools to collate, model, interpret, develop visualizations/information products, and communicate to the business.  Specifically, individuals in this role will execute on projects/initiatives with low to medium complexity with some supervision. 

Job Accountabilities:

• Basic understanding of best practices
• Executes on projects and initiatives with supervision from others
• Provides support to the analytics team members
• Begins to lead analytics effort with low complexity
• Supports more senior members in ensuring key insights and recommendations are provided to stakeholders
• Understands who the customers are and what is happening in the market with necessary commercial awareness
• Creates visual displays of data through selected tools and analytical packages and ensure visualization doesn’t mispresent the data
• Applies and explains intermediate data blending techniques
• Applies intermediate hygiene checks, implements data quality precautions and use analytics technique to prepare data for analysis

Job Qualifications:

• Bachelors degree holder
• Has 1-3 years of analytics experience
• Significant experience leveraging SQL for data querying
• Experience with different visualizations tools such as Tableau or PowerBI
• Ability to understand complex data structure and to apply advanced blending and refinement techniques including big data and knows how to apply advanced data preparation and refinement techniques
• Experience in intermediate statistics
• Basic knowledge of big data platforms 
• Ability to present complex issues in simple and sophisticated insights
• Ability to combine visualizations from multiple sources to tell an effective and engaging story
• Ability to effectively structure work to meet deadlines and to communicate timely on progress and escalate roadblocks to more senior team members
• Knowledge of different project management approaches and lifecycles and/or agile methodology is a plus
• Has Python, R, or AI/machine learning experience is a plus

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