Cloud Data Analyst

Alstra is a "Smart Workforce Solutions" provider platform that allows experts in their areas to work for companies around the world, with flexibility and earnings above the traditional market!

What are looking for: Cloud Data Analyst

Payment: USD dollar

Contract: As a contractor for 12 months with expansion

Advanced English is mandatory

Responsibilities:

1. Data Transformation and Modeling:

• Design, develop, and maintain data transformations using dbt (dbt Developer Hub) to create well-defined data models for analysis.
• Leverage BigQuery as the primary data warehouse to store and manage large datasets.
• Write efficient and optimized SQL queries to extract, manipulate, and aggregate data.
• Implement best practices for data quality, consistency, and integrity within the data pipeline.
• Proactively identify and resolve data discrepancies and issues.

2. Data Visualization and Reporting:

• Develop clear and compelling data visualizations and dashboards using Looker, Power BI, or other visualization tools to communicate findings effectively.
• Create dashboards that are actionable, insightful, and aligned with business objectives.
• Collaborate with product owners to understand their needs and translate them into appropriate data visualizations and reports.
• Ensure accuracy and consistency of all data presented.

3. Data Analysis and Interpretation:

• Interpret data and translate complex findings into clear, concise, and actionable insights.
• Develop and present data-driven recommendations to improve business performance and support strategic decisions.

4. Collaboration and Communication:

• Partner with product owners to understand their data needs and provide them with the necessary information and support.
• Actively participate in team meetings and contribute to discussions on data strategy and best practices.
• Document data processes, methodologies, and findings when required.

Qualifications:

Technical Skills:

• Required: Proven experience with data transformation using dbt.
• Required: Strong proficiency in SQL and experience working with BigQuery as a data warehouse.
• Required: Experience creating data visualizations and dashboards using one or more of the following tools: Looker, Tableau, or Power BI.
• Preferred: Experience with other data warehousing technologies (e.g., Snowflake, Redshift).
• Preferred: Basic understanding of scripting languages like Python.

Analytical Skills:

• Strong analytical and problem-solving skills with keen attention to detail.
• Ability to interpret complex datasets and draw meaningful conclusions.

Communication Skills:

• Excellent written and verbal communication skills with the ability to clearly present data and insights to diverse audiences.
• Ability to collaborate effectively with all team members and stakeholders.

Experience:

• 2-4 years of experience as a Data Analyst or in a related role.
• Experience working with large datasets and complex data environments.
• Experience in understanding business needs and translating them into data-driven solutions.

Education:

• Bachelor's degree or equivalent experience in a relevant field such as Data Science, Computer Science, Statistics, Mathematics, or related field.