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Data Analyst

2 months ago

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By effectively recognizing the signs of cancer, we strive to expedite the process of getting patients into treatment as quickly as possible, ultimately saving lives and making a significant impact on cancer care. Our AI cancer prediction platform is making a huge impact in the UK, and we are bringing our product to the US market.

Do you enjoy telling stories with data? At C the Signs, we are looking for an experienced and enthusiastic product data analyst to join our team. As a Senior Product Data Analyst, you will drive decision-making with data, both internally and for our customers. The ideal candidate has a strong background in business intelligence tools and SQL and enjoys diving deep to uncover insights and answer critical business questions. In this role, you will collaborate across departments to define key workflows, establish KPIs, and leverage data for all critical decisions. At C the Signs, our data stack includes Snowflake, Tableau, dbt, and Prefect; Become a trusted advisor to all teams at C the Signs, providing reliable data and analysis to further business decisions
Utilize business intelligence tools (Looker, Tableau, Sigma) to develop, maintain, and manage advanced reporting, analytics, dashboards, and other BI solutions.
Write complex SQL queries to extract, manipulate, and analyze data from various sources to provide actionable insights.
Conduct in-depth data analysis to identify trends, patterns, and opportunities for business improvement.
Develop and maintain documentation for data processes, analyses, and reports.
Ensure data integrity and accuracy by implementing quality control measures and performing regular data audits.
Stay up-to-date with the latest trends and technologies in data analytics and business intelligence.
Connecting data from commercial product and research.

2+ years SQL experience (must have expert familiarity with SQL). Python experience preferred, but not required.
~ Familiar with the modern data stack, including columnar databases (we use Snowflake), ELT and data pipeline best practices, data transformation tools (we use dbt), and git for source control.
~ Passion for digging deep into the data to solve complex problems
~ Strong analytical and quantitative background, with a knack for clear and concise data visualization and storytelling.
~ Expertise in working with BI tools (ideally Tableau).
~ Effective project management and communication skills.
~ Competitive salary and benefits package.
The opportunity to work on meaningful projects that have a real impact on people's lives.
A collaborative and innovative work environment with a focus on professional growth.
Full remote working