Position Summary:

Reporting to the Senior Manager, Data Analytics, the Data Analyst is responsible for helping our customers make data-related recommendations and derive maximum value from Trulioo’s service offering. This includes data review, visualization, outcome-based recommendations as well as client-facing presentations and collaboration across Trulioo’s business teams.

What you'll be doing:

• Conduct data studies to evaluate customer performance and apply critical thinking to assess, identify options, and make outcome-based recommendations.
• Tell powerful stories from extracted and researched data to our enterprise customers using a variety of visual aids, interactive dashboards, and/or written reports.
• Examine data to identify trends, exceptions, and areas for further investigation.
• Communicate with internal and external stakeholders both orally and in writing, to translate complex information in a clear and concise manner.
• Contribute to the improvement and automation of systematic processes to help the team scale efficiently.

You have:

• Experience in gathering, cleaning, researching, and reporting on data; including a demonstrated ability to identify appropriate statistical review for large datasets, visualization of the data, and measurement goals.
• 2 years experience in reporting and data review.
• 2 years experience or equivalent working with relational databases in a SQL environment.
• 2 years experience or equivalent creating and presenting reports using a Business Intelligence tool, such as Tableau, Power BI, Domo, Looker, etc.
• Proficient in MS Excel; able to perform pivot tables, pivot charts, and advanced functions in MS Excel and other visualization tools.
• Strong problem-solving ability and ability to reasonably scan, identify root causes, and provide effective solutions with a high level of detail.
• Excellent verbal and written communication skills.
• Excellent interpersonal skills - ability to work within a team environment.
• Ability to work in a customer-oriented, fast-paced, dynamic environment.
• Bonus: experience working with a scripting language such as Python or R in a combination of professional and/or self-taught environments.
• A Bachelor's degree in Business with a quantitative specialization or Bachelor's degree in a quantitative area such as Mathematics, Statistics, Physics, Computer Science or Engineering, or equivalent work experience.