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Senior Data Analyst

1 month ago

San Francisco, United States Releady Full time
OVERVIEW

We are seeking a skilled Senior Data Analyst for a SaaS client to help them drive data-informed decision-making. In this role, you will partner with business teams to understand their data needs, design solutions, and develop actionable reports and dashboards. You will leverage your technical expertise to build data pipelines, extract and analyze data, and create impactful visualizations.

RESPONSIBILITIES

  • Partner with stakeholders: Collaborate with business teams to gather requirements for reports and dashboards, translating them into actionable solution designs.
  • Data pipeline development: Assess data availability in the data warehouse and build pipelines as needed to ensure access to necessary data.
  • Data extraction and analysis: Utilize complex SQL queries to extract data from various sources and perform comprehensive analysis to uncover insights.
  • Data visualization: Create clear and actionable visual representations of data using tools like Tableau, enabling stakeholders to understand complex information easily.
  • End-user acceptance testing: Participate in the testing process to ensure that reports and dashboards meet the requirements of end-users and provide accurate insights.
  • Process automation: Identify opportunities for automation and develop solutions to streamline manual processes, saving time and effort for both business teams and internal stakeholders.
  • Data modeling: Design and build data models that map end-to-end data flows, integrating information from multiple sources.
  • Data pipeline development (Python): Create and maintain data pipelines using Python to connect disparate data sources and facilitate data integration.
  • Cross-functional support: Provide support to various teams with ad-hoc data requests and contribute to data-related projects across the organization.
  • Geocoding employee data (Python): Develop processes using Python to geocode employee data, enabling visualization of the global workforce distribution.
  • Define and drive growth through the funnel for the SaaS B2B customers with developer persona.
  • Closely work with Product, Eng, Data and GTM for customer insights and product opportunities.
QUALIFICATIONS
  • Education: Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics) or equivalent practical experience.
  • Experience:
    • 5+ years of experience with expertise in advanced data analysis, data modeling, and building complex data pipelines.
    • A/B testing, DBT data modeling, SQL & Tableau dashboards, leadership reporting.
  • Technical skills:
    • Strong SQL skills for querying and manipulating data.
    • Proficiency in data visualization tools (Tableau).
    • Experience with Python for data analysis and pipeline development.
    • Familiarity with data warehousing concepts and tools.
    • Understanding of statistical analysis and modeling techniques is a plus.
  • Soft skills:
    • Excellent communication and interpersonal skills.
    • Strong problem-solving and analytical skills.
    • Ability to work independently and collaboratively.
    • Passion for data and a desire to learn and grow.


We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other non-merit factor. We are committed to creating a diverse and inclusive environment for all employees.