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Description:
Chooose builds software to enable lower carbon fuel value chains in hard-to-abate sectors.
The company serves clients like Alaska Airlines, Air Canada, Delta Air Lines, and Flexport to support their SAF programs and carbon initiatives.
The Data team is responsible for transforming and maintaining the quality of external and system data, creating analytical visualizations, and providing insights to internal teams.
This role focuses primarily on Business Intelligence to empower internal teams and build external facing visualizations.
Responsibilities include collaborating with internal stakeholders to streamline data-driven performance management and enabling self-serve metrics for various internal teams.
The role also involves working with the Product team to incorporate external facing visualizations into the Chooose platform.
Requirements:
Candidates must have an understanding of querying languages such as KQL and SQL.
An understanding of key data manipulation concepts is required.
A minimum of 2-5 years of experience using data visualization tools and performing analysis in tools like Google Suite and Microsoft Office is necessary.
The ability to answer questions and problem-solve through data manipulation and visualizations is essential.
A solution-oriented mindset that leverages data to solve problems is expected.
Candidates should have the ability to prioritize and manage multiple stakeholders effectively.
Benefits:
Chooose offers a competitive salary and the option to participate in an employee equity program.
Flexible work hours are provided to accommodate employees' schedules.
Access to 'Spaces' coworking space is included as part of the benefits.
The company promotes a fun and supportive team environment dedicated to advancing climate solutions.
Compensation will be based on experience and skill, commensurate with market rates, and will include both salary and equity in Chooose.
Chooose is committed to diversity and inclusiveness, encouraging applications from underrepresented backgrounds and different industries.