Data Analyst 2
hace 2 semanas
Overview:
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.
What you will be doing:
- 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
- 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
What will make you successful:
- 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
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