Analytics Engineer

Description :

• Candidate must have 4- 8 years of experience in Analytics, Business Intelligence (BI), or Data Engineering, preferably from Growing Startups or Product-based companies.
• Candidate should have strong hands-on expertise in SQL, capable of writing clean and optimized queries with a deep understanding of Data Warehousing concepts including Star Schema, Fact / Dimension models, Slowly Changing Dimensions (SCD), ETL / ELT processes, and MPP Databases (Redshift / BigQuery or similar).
• Candidate must have hands-on experience with dbt for data transformations and building scalable data pipelines / DAGs for batch processing of large datasets (millions of rows).
• Candidate should be proficient in Python with a strong understanding of data modeling, semantic layer design, and cloud data tools such as Amazon Athena, Redshift, or BigQuery.
• Candidate must have experience working with analytics or logging platforms, along with strong dashboarding and reporting skills using Looker or Tableau.
• Candidate should have proficiency in Git and CI / CD workflows, and hands-on experience in Agile product teams with excellent documentation and communication skills.

Job Summary :

As an Analytics Engineer, you will play a critical role in shaping the data infrastructure, data strategy, and analytical framework for the organizations Data & Analytics division. This position requires a blend of engineering expertise and analytical acumen someone who not only knows how to extract value from big data but also understands how to design robust data models and semantic layers that enable scalable, self-service analytics across the organization.

You will be responsible for end-to-end project ownership, from understanding data requirements to planning and implementing comprehensive data solutions encompassing data pipelines, storage models, and visualizations. Working cross-functionally with product, engineering, and business teams, you will ensure that all analytical systems are accurate, reliable, and capable of supporting data-driven decision-making.

This role is ideal for someone who enjoys solving complex data challenges, thrives in a fast-paced environment, and is passionate about enabling others through clean, accessible, and well-structured data systems.

What You Will Do :

Design and Develop Data Models :

Collaborate with Stakeholders :

Automate and Optimize Workflows :

Implement Data Pipelines and Transformations :

Maintain Data Quality and Consistency :

Develop and Maintain Dashboards :

Advance Data Governance and Standards :

Support New Product and Feature Launches :

Explore and Innovate :

What You Bring :

Educational Background :

Professional Experience :

Technical Proficiency :

SQL Expertise :

Data Modeling and Pipelines :

Programming Skills :

BI and Visualization Tools :

Cloud and Analytics Tools :

Version Control and CI / CD :

Project Management and Collaboration :

Analytical and Problem-Solving Skills :

Communication and Documentation :

Domain Experience (Preferred) :

(ref : hirist.tech)