Senior Data Analyst

4 weeks ago


San Francisco, United States TalentBurst Full time
Title : Senior Data Analyst
Location: San Francisco,CA (Hybrid)
Duration: 7+ Months Contract(With Possibility of extension)


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.
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
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