Analytics Engineer - AI Dashboards & Data Pipelines

Remotedxb; Dubai; Remote; AED 180,000 - 240,000; Full time

Benefits offered by this job

Remote-first culture

Medical, dental, and vision coverage

Flexible paid time off and holidays

Parental leave

Job summary

Pathstream is seeking a data analytics professional to own end-to-end dashboard development and BI products within a remote-first environment. You will define metrics with stakeholders, design data models, and ensure data quality while collaborating with engineering on instrumentation.

Candidates should have 4–6 years of analytics experience, strong SQL, and hands-on BI tool expertise. Familiarity with dbt and Git is preferred, with ability to work in a modern data warehouse

Qualifications

• 4–6 years of professional analytics experience.
• Strong SQL proficiency for complex queries and debugging.
• Experience with data modeling and schema design (facts vs. dimensions).
• Hands‑on experience with modern BI tools (e.g., Hex, Looker, Tableau).
• Familiarity with version control workflows like Git.
• Experience with dbt or strong motivation to learn it.
• Ability to work in a warehouse environment (Redshift, Snowflake, or BigQuery).

Responsibilities

• Partner with business stakeholders to scope analyses, define metrics, and drive decision-making.
• Own end-to-end dashboard development and business intelligence products.
• Design and maintain data models and pipelines using dbt.
• Ensure data quality and trust through testing and monitoring.
• Collaborate with engineering on event instrumentation and schema changes.
• Advance AI-assisted analytics workflows for SQL development and modeling.
• Participate in code reviews and mentor team members.

Skills

SQL proficiency

Data modeling

dbt

BI tools

Git

AI analytics

Tools

dbt

Looker

Tableau

Hex

Git

BigQuery/Snowflake/Redshift

Job description

Pathstream is seeking a data analytics professional to own end-to-end dashboard development and BI products within a remote-first environment. You will define metrics with stakeholders, design data models, and ensure data quality while collaborating with engineering on instrumentation.

Candidates should have 4–6 years of analytics experience, strong SQL, and hands-on BI tool expertise. Familiarity with dbt and Git is preferred, with ability to work in a modern data warehouse