Position Summary

• The Data Analyst Lead is digitally savvy. Seek out innovative solutions and embrace evolving technologies.
• S/He can easily adapt to new tools, trends and has a talent for seeing solutions in sprawling data sets, with experience in providing impactful data insights and steering effective user acquisition and retention strategies.
• The ideal candidate will have a strong ability to synthesize valuable insights from raw data, and the communication skills to effectively disseminate information across the team and organization.
• S/He has the capabilities to give meaning to data and enjoy investigating complex problems, and making sense of information. The Data Analyst Lead reports to the Project Director.
• You have the ability to code in SQL, SAS, Python. Proficiency in Alteryx and Tableau is an asset. You have advanced proficiency in MS Excel.

Duties and Responsibilities

• Design architecture, deploy and maintain supporting infrastructure for HIS
• Automate the deployment, administration and operations of the infrastructure and analytic platforms
• Build and maintain monitoring, log aggregation, and reporting on infrastructure performance, application performance, and user behavior
• Build and maintain standard authentication and access patterns for integrations within the project’s broader data/technology ecosystem
• Partner with the other project teams to maintain and support application licensing and software distribution
• Provide analytics tools and platforms subject matter expertise to staff/team
• Develop and implement methods for educating at scale
• Provide ad-hoc support of various growth initiatives including qualitative research, survey design, web development, and more.
• Interpret data, analyze results using statistical techniques and provide ongoing reports;
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality;
• Identify, analyze, and interpret trends or patterns in complex data sets;
• Providing technical expertise on data storage structures, data mining, and data cleansing;
• Other duties as assigned.

Qualifications and Experience

• Bachelor’s / Master’s Degree with a minimum of 6 years relevant work experience.
• Proficiency in the various Analytics tools such as Adobe Analytics, Dynamic Tag Manager, Google Analytics, JavaScript, Python, SQL and Tableau.
• Ability to code in SQL, SAS, Python.
• Proficiency in Alteryx and Tableau is an asset.
• Advanced proficiency in MS Excel.