Analytics Engineer at Hive

Vancouver, British Columbia, Canada

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CA$100,000 – CA$125,000Compensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

FintechIndustries

Requirements

2+ years of experience as an analytics/data engineer, or similar role
Experience with SQL
Experience with cloud-based data warehouses (e.g., Snowflake)
Experience with dbt
Experience with ETL tools
Experience with code-based BI tools
Experience with Kimball data modelling
Experience with query optimization and tuning
Experience executing on data management policies for ensuring data integrity and data governance
Experience with marketing, financial, product and operational data reporting

Responsibilities

Work across the entire lifecycle of data at Hiive from data source to serving use cases (data cleaning, transformation, defining and managing metrics, business intelligence, insight generation, operational analytics, marketing automation, and more)
Collaborate with cross-functional business teams to gather data needs and efficiently deliver on tasks to support business objectives
Enforce data governance policies and best practices to ensure compliance with data privacy regulations and industry standards
Complete code reviews to maintain best practices and production quality data pipelines
Build BI solutions that help to deliver insights across every aspect of the business
Maintain a high quality data transformation layer in dbt (model performance, data quality, and documentation)
Build and maintain highly flexible and performant data models to support business decision making
Promote a culture of data-driven decision-making and innovation within the organization

Skills

Key technologies and capabilities for this role

dbtSQLdata pipelinesdata modelingbusiness intelligencedata governancedata transformationETL

Questions & Answers

Common questions about this position

What is the salary range for the Analytics Engineer position?

The salary range is CA$100K - CA$125K.

Is this Analytics Engineer role remote or does it require office work?

This information is not specified in the job description.

What skills are required for the Analytics Engineer role?

Required skills include 2+ years of experience as an analytics/data engineer, SQL, cloud-based data warehouses like Snowflake, dbt, ETL tools, code-based BI tools, Kimball data modelling, query optimization, data governance, and experience with various data reporting.

What is the company culture like at Hiive?

Hiive promotes a culture of data-driven decision-making and innovation, collaborating with cross-functional teams to support business objectives and empower informed decision-making.

What makes a strong candidate for the Analytics Engineer position?

Strong candidates have 2+ years in analytics engineering with hands-on experience in SQL, dbt, Snowflake, ETL tools, and data governance; preferred skills include Python, Airflow/Dagster, and experience in marketplaces or regulated industries.

Hive

Provides AI models and APIs for search

About Hive

Hive offers advanced artificial intelligence models through APIs that enhance search capabilities, such as visual similarity and text-to-image search. Their deep learning models can accurately classify content and generate images and text, making them valuable for industries like sports and marketing. Hive differentiates itself with high standards of information security, holding ISO 27001:2022 and SOC Type 2 certifications. The company's goal is to empower businesses by providing AI solutions that improve their operational efficiency and decision-making.

San Francisco, CaliforniaHeadquarters

2013Year Founded

$138.3MTotal Funding

SERIES_DCompany Stage

Consumer Software, AI & Machine LearningIndustries

201-500Employees

Benefits

Competitive Pay

Equity

Comprehensive Insurance

Catered Meals

Corporate Gym Membership

Risks

Emerging competition from OpenAI's GPT-4 could challenge Hive's content moderation market.

TrueMedia's collaboration with Microsoft may threaten Hive's AI-generated content detection.

Free AI-powered tools like TrueMedia's deepfake detector could reduce demand for Hive's services.

Differentiation

Hive offers a comprehensive suite of pre-trained AI models for diverse applications.

The company provides turnkey software solutions powered by proprietary AI models and datasets.

Hive's technology supports platform integrity, brand protection, and context-based ad targeting.

Upsides

Hive's collaboration with Virgin Money shows potential in the real estate and energy sectors.

Growing demand for AI-powered content moderation boosts Hive's market opportunities.

Hive's Intelligent Search services enhance content discovery and moderation capabilities.

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