Data Analyst

Remoteworldwide; Snowflake (AZ); Remote; USD 60,000 - 100,000; Full time

Job summary

Join an innovative company as a Data Analyst and make a significant impact in the global employment landscape. In this role, you'll work with a dynamic Central Data Team, leveraging a modern tech stack to analyze complex datasets and provide actionable insights. Collaborate with various stakeholders to translate business challenges into analytical projects, ensuring data quality and raising the standards for analytics work. This position offers the chance to own projects from inception to delivery, fostering a culture of high standards and continuous improvement. If you're a self-starter with a passion for data, this is the perfect opportunity for you.

Qualifications

• Background in Statistics or related field required.
• Proven problem-solving skills and ownership of projects.

Responsibilities

• Take ownership of medium-complexity analytical projects.
• Design and maintain scalable data assets, analyze datasets.

Skills

SQL

Data Modelling

Data Visualization

Problem Solving

Communication Skills

Statistical Analysis

Education

Bachelor's Degree in Statistics, Mathematics, Engineering, or Economics

Tools

Snowflake

dbt

Sigma

GitLab

Python

Job description

This is an exciting time to join Remote and make a personal difference in the global employment space as aData Analyst, joining Remote’sCentral Data Team. With our growing analytics team and a modern tech stack, the person has an opportunity to develop both new solutions and ways of looking at existing processes, and raise the standards of what is possible using data across the entire organization. Depending on candidate qualifications, expertise and desires, this role can develop into different areas in the future.

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.

Nice To Have:

• 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.

What this job can offer you

• Collaboration: 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.
• End-to-End Ownership: 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.
• Data Modelling: Collaborate with data engineers, analytics engineers and other data analysts and contribute to building the modelling layer of our data warehouse.
• Data Exploration & Quality: Contribute to a culture of higher standards by discovering, documenting and working towards improving the quality of our data.
• Data Analysis: Design, develop and maintain scalable data assets, analyse complex datasets and apply statistical techniques to identify significant trends, patterns and correlations.

The core stack of Data Analysts (among other tools) contains Sigma, dbt, Snowflake, SQL, Python and GitLab.

Practicals

• Team:Data Analytics
• Location: For this position we welcome everyone to apply, but we will prioritize applications from EMEA and APAC as we encourage our teams to diversify;

Remote makes running global teams simple. By making it simple to hire, manage, and pay anyone, anywhere.