Analytics Engineer at ShyftLabs

Noida, Uttar Pradesh, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

N/AIndustries

Requirements

Proven 5+ years of experience as an Analytics Engineer, BI Developer, or Data Analyst with strong technical ownership
Advanced proficiency in SQL (preferably Google BigQuery)
Hands-on experience with Looker (LookML, Explores, Views, PDTs, user permissions)
Strong understanding of data modeling principles (star schema, snowflake schema, slowly changing dimensions)
Experience with data warehousing concepts and modern cloud data platforms (preferably GCP)
Ability to optimize SQL queries and Looker Explores for performance and scalability
Strong problem-solving skills and ability to work with large, complex datasets
Excellent communication skills to collaborate with technical and non-technical stakeholders
Experience with version control (Git) and collaborative LookML development (preferred)
Familiarity with dbt (data build tool) for transformation modeling (preferred)
Knowledge of other BI/visualization tools (Tableau, Power BI) (preferred)
Understanding of ETL/ELT pipelines and orchestration tools (Airflow, Cloud Composer) (preferred)

Responsibilities

Design, develop, and maintain LookML models in Looker to enable robust self-service analytics
Build reusable, scalable data pipelines and transformations in BigQuery
Partner with business stakeholders to translate reporting requirements into efficient data models and visualizations
Ensure data accuracy, consistency, and performance optimization across dashboards and queries
Implement centralized metrics and definitions for consistent business reporting
Work with cross-functional teams (data engineering, product, business) to align data models with business needs
Monitor and troubleshoot Looker dashboards, BigQuery performance issues, and data pipeline failures
Stay current with industry best practices in modern BI, analytics engineering, and cloud data platforms

Skills

Looker

LookML

BigQuery

SQL

data pipelines

data modeling

star schema

snowflake schema

data warehousing

GCP

PDTs

ShyftLabs

Data-driven decision-making solutions for organizations

About ShyftLabs

ShyftLabs helps organizations adopt a data-first approach to their decision-making processes. Their services focus on establishing systems that enable companies to make quicker and more informed decisions based on data analysis. This approach allows businesses to gain insights that can keep them ahead of their competitors. Unlike other companies that may offer generic consulting services, ShyftLabs emphasizes the importance of data in driving decisions, ensuring that organizations can leverage their data effectively to enhance their strategic planning and operational efficiency.

None, CanadaHeadquarters

2018Year Founded

VENTURE_UNKNOWNCompany Stage

Data & Analytics, ConsultingIndustries

11-50Employees

Analytics Engineer at ShyftLabs

Requirements

Responsibilities

Skills

ShyftLabs

About ShyftLabs

Benefits

Health Insurance

Hybrid Work Options

Professional Development Budget

Risks

Increased competition from startups offering innovative, cost-effective solutions.

Growing demand for in-house analytics teams reducing reliance on consultants.

Rapid AI advancements may outpace ShyftLabs' current technology offerings.

Differentiation

ShyftLabs specializes in data governance, warehousing, and predictive analysis services.

The firm empowers organizations with a data-first approach for decision-making.

ShyftLabs establishes processes for faster, insightful decisions to outpace competition.

Upsides

Increased demand for data governance due to stricter privacy regulations.

Growing interest in predictive analytics in retail for inventory optimization.

Rising adoption of cloud-based BI tools among SMEs for cost-effectiveness.

Analytics Developer II