Data Analyst 2 (English speaking)

The Data Analyst 2 is responsible for understanding business/department needs and goals and creating high quality data-driven analysis and insights to support strategic decisions and drive business impact.

Success in this role requires a strategic mindset, the ability to challenge the status quo, and strong storytelling skills to distill complex findings into practical insights.

• Lead large, complex analyses where information about business trends and issues are gathered from key internal business stakeholders and best practice guidance is provided
• Develop and maintain executive level dashboards that enable the business to answer complex business questions and provide actionable insights and reports to enable business stakeholders to track critical KPIs
• Lead improvements to our analytics capabilities, operational processes, and collaboration with other teams.
• Deliver actionable business recommendations through analyses and data storytelling via clear, concise and effective presentations
• Report on findings and make recommendations; summarize analyses into clear, concise and effective presentations; deliver content as necessary
• Perform data integrity audits; evaluate and propose recommendations on methods and procedures for managing data
• Compose internal documentation that details processes and findings
• Monitor industry statistics and follow market trends
• Provide training and guidance on how to interpret and apply data
• Contribute to the team's general knowledge base and ongoing professional development
• Comply with all corporate and departmental privacy and data security policies and practices, including but not limited to, Hyland’s Information Systems Security Policy

• Bachelor's degree or equivalent experience (preferably in Mathematics, Statistics, Data Science, Economics, Engineering or a related technical field)
• PowerBI Analyst Certification (PL-300)
• Min. 3 years experience as a Data Analyst
• Ability to thrive in fast-paced, deadline-driven environment
• Ability to work independently or as a team.
• A solid understanding of software financial concepts and business drivers to provide relevant insights.
• Experience in analytical role, preferably supporting Revenue, Renewals, or Finance business unit within a software company.
• Strong analytical skills with the ability to make meaningful recommendations that will inform our business strategy based on data analysis.
• Advanced Microsoft Excel skills.
• Proficiency in SQL preferred. Knowledge of programming languages such as Python, Apache Spark or R desired.
• Expertise manipulating large data sets, interpreting data trends, connecting data sources, and using visualization tools to tell a story with data.
• Knowledge of data warehousing technologies and SQL server. Experience building data pipelines and analyzing large datasets are a plus.
• Highly organized and experienced at successfully multi-tasking
• Excellent oral and written communications skills that demonstrate a professional demeanor and the ability to interact with others with discretion and tact
• Excellent critical thinking and problem solving skills
• Strong collaborative skills, applied successfully within team as well as with other areas
• Demonstrated ability to articulate complex topics both verbally and in writing to diverse audiences
• Strong business and technology acumen. SaaS experience is a plus.
• Up to 5% travel time required