Data Analyst

Summary

Join Remote's Central Data Team as a Data Analyst and make a personal difference in the global employment space. This role offers the opportunity to develop new solutions and ways of looking at existing processes, raising the standards of what's possible using data across the organization. The position allows for future development into different areas depending on qualifications and desires. The role is fully remote, with no relocation required. Remote embraces AI as a valuable tool while prioritizing human creativity and authenticity. The company prioritizes a sense of belonging and encourages applications from all backgrounds.

Requirements

• Background in Statistics, Mathematics, Engineering, Economics or a related field
• Insatiable curiosity to proactively pose deeper questions, not be satisfied with superficial answers, and dig into vast granular data to uncover conclusive answers
• Proven ability to problem-solve and take ownership of analytical projects from start to finish (incl. identifying root causes, formulating hypotheses, etc.)
• Excellent communication skills and ability to document processes for both business and technical audiences
• Strong experience in SQL and data modelling (e.g: dbt, SQLMesh)
• Experience working with cloud data warehouses (e.g., Snowflake, BigQuery)
• Experience working with data visualization tools (e.g., Sigma, Looker)
• Proficiency with version controlling (e.g., GitLab, GitHub)
• A self-starter mentality and the ability to thrive in an unstructured and fast-paced environment

Responsibilities

• Understand business challenges and objectives of our stakeholders, proactively identify opportunities for data analysis to address business needs and translate business problems into well-defined analytical questions and project plans
• Take ownership of medium-complexity analytical projects from initial scoping through data gathering to final delivery of insights and recommendations. Challenge assumptions and validate findings throughout the process. Create new knowledge as well as raise the standards for analytics work within the team
• Collaborate with data engineers, analytics engineers and other data analysts and contribute to building the modelling layer of our data warehouse
• Contribute to a culture of higher standards by discovering, documenting and working towards improving the quality of our data
• Design, develop and maintain scalable data assets, analyse complex datasets and apply statistical techniques to identify significant trends, patterns and correlations

Preferred Qualifications

• Prior experience working in a centralised data team is a huge plus
• Some experience of working with dbt & Sigma
• Some experience of developing & deploying ML models using Python
• It's not required to have experience working remotely, but considered as a plus

Benefits

• Work from anywhere
• Flexible paid time off
• Flexible working hours (we are async )
• 16 weeks paid parental leave
• Mental health support services
• Stock options
• Learning budget
• Home office budget & IT equipment
• Budget for local in-person social events or co-working spaces