Job description

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: