RemoteWLBRemote only
Back to all jobs
Parallel logo
Remote role · senior-d

Senior Data Analyst

Parallel

Role brief

Job Details

Role Type: Full-Time

Location: Fully Remote (USA)

Reports To: Director of Engineering

Salary: $130k-$160K 

About This Role

We're seeking a dynamic Senior Data Analyst to drive innovation and make a meaningful impact. In this role, you'll collaborate with stakeholders across the company to unlock insights from data, driving operational excellence and enhancing business outcomes.

Seize this thrilling opportunity to:

  • Be at the forefront of a data-centric organization, shaping the future of care for learning and thinking differences.
  • Work on diverse projects, gaining a holistic understanding of our business and contributing to a variety of initiatives, from finance to neuropsychology.
  • Thrive in a culture that values inclusivity, innovation, and collaboration.
  • Play a key role in a rapidly growing company, supported by a passionate team.
  • Continuously develop your skills and knowledge in a supportive and empowering environment.

Technology Stack

  • We utilize the Google Cloud Platform, Python, SQL, BigQuery, and Looker Studio for data analysis and management.
  • We ingest data from a variety of third-party tools, each providing unique insights.
  • Our stack includes DBT and Fivetran for efficient data integration and transformation.

Key Responsibilities

  • Collaborate with teams to understand data needs and deliver tailored solutions.
  • Analyze large sets of structured and unstructured data to identify trends and insights.
  • Develop and maintain databases and data systems for improved data quality and accessibility.
  • Create clear and effective data visualizations for stakeholders.
  • Stay updated with the latest trends in data analysis and technologies.

Qualifications and Skills

  • 2-3 years of hands-on experience in data.
  • You can distill complex data into easy to read and interpret dashboards to enable leadership / business teams to gather data insights and monitor KPIs.
  • Solid understanding of SQL and Python, along with experience in visualization tools.
  • Basic familiarity with Looker and BigQuery.
  • Basic familiarity with dbt or other data warehouse modeling methods.
  • Strong problem-solving skills and a collaborative mindset.
  • Must be authorized to work in the US.