Pay Range: $65-70/hr
Duties: Partner with cross-functional teams to identify key business questions and translate them into actionable analytics projects.
Conduct thorough data analysis to extract valuable insights and trends, leveraging various data sources and analytical tools.
Develop and maintain robust data pipelines, ensuring data accuracy and reliability for analytical purposes.
Communicate complex analytical findings effectively to business leaders and stakeholders through compelling presentations and reports.
Drive decision-making processes by providing data-driven recommendations and solutions.
Proactively identify opportunities for process improvement and optimization through data analysis.
Skills: 5+ Years of Relevant Experience: 5+ years of pertinent data analyst experience, with a track record of creating and maintaining data models, conducting end-to-end analyses for subscription/SaaS businesses, and contributing to reporting systems and automation within intricate organizational structures. Adaptable to a fast-paced environment, adept at swiftly delivering actionable insights.
Expertise in Data Manipulation/SQL: Demonstrated proficiency in querying and manipulating extensive datasets for analytical purposes using SQL-like languages (experience with Hive/Hadoop/Databricks preferred). Familiarity with Python is advantageous.
Analytical Prowess: Possess a strong aptitude for analytical and quantitative problem-solving, enabling the extraction of valuable insights from complex data.
Communication and Influence: Exceptional communication and interpersonal skills are essential, allowing for effective influence and decision-making across cross-functional teams.
Collaborative Engagement: Comfortable collaborating with technical resources to ensure data and analyses align with business objectives and logic.
Project Management Proficiency: Strong project management and planning abilities, capable of managing multiple projects concurrently within a fast-paced environment.
Innovative Problem Solver: A proactive problem solver who challenges the status quo and promotes innovative thinking throughout the organization.
Data Visualization Skills: Proficient in data visualization and storytelling techniques, utilizing tools such as Power BI, PowerPoint presentations, and Excel to convey insights effectively.
Education: Education: BS and/or MS in Computer Science / IT / relevant field
Professional Experience: 5+ years of pertinent data analyst experience, with a track record of creating and maintaining data models, conducting end-to-end analyses for subscription/SaaS businesses, and contributing to reporting systems and automation within intricate organizational structures. Adaptable to a fast-paced environment, adept at swiftly delivering actionable insights.
