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Remote Senior Data Analyst (SQL) | Remote | Dayshift

at ZigZag Careers

Posted 3 days ago | 0 applied

Description:

  • Zigzag is seeking a Senior Data Analyst to join their team in a remote, dayshift position.
  • The Data Analyst will play a crucial role in bridging business needs with data-driven solutions.
  • Responsibilities include analyzing data, providing actionable insights, and supporting strategic decisions.
  • The role involves close collaboration with stakeholders, operations teams, and engineers to ensure high-quality analytics and effective data solutions.
  • Key responsibilities include collaborating with stakeholders to understand business processes and data requirements, documenting these needs, and translating them into technical specifications.
  • The analyst will design, build, and maintain data models, dashboards, and reports to support operations and strategic decision-making.
  • They will manage and optimize the BI platform and data models, troubleshoot reporting logic, and ensure data quality and integrity.

Requirements:

  • Candidates must have 5+ years of experience as a Data Analyst, Business Analyst, or in a related role within a data-centric environment.
  • Industry experience in finance, payments, and SaaS is highly desirable.
  • Advanced proficiency in SQL and experience with data visualization tools such as Looker are required.
  • An in-depth understanding of data modeling concepts, data transformation, and analytical methodologies is necessary.
  • Proven experience in managing large datasets is essential.
  • Exceptional communication skills are required to effectively manage relationships with diverse stakeholders.
  • Experience with data warehousing platforms such as Snowflake is desirable.

Benefits:

  • The position offers the opportunity to work remotely, providing flexibility in work location.
  • Employees will be part of a dynamic team that values data-driven decision-making and innovation.
  • The role provides a chance to engage with various stakeholders and contribute to strategic business outcomes.
  • There is potential for professional growth and development within a data-centric organization.