Analytics Engineer enhancing data capabilities to improve decision-making and operational efficiency at a fintech startup. Working across the data lifecycle to support business objectives and empower teams.
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.
Requirements
2+ years of experience as an analytics/data engineer, or similar role
Experience with SQL, cloud-based data warehouses, dbt, ETL tools, code-based BI tools and Kimball data modelling
Experience with core tools in our data stack being Snowflake and dbt
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
Ability to work in Python and support data orchestration with tools like Airflow or Dagster (preferred)
Experience with Postgres, Fivetran, Hightouch and Metabase, or similar tools and technologies (preferred)
Experience in marketplaces and highly regulated industries would be beneficial (preferred).
Benefits
Highly competitive salary commensurate with experience and contribution.
Opportunity to participate in ownership of a rapidly growing early-stage startup through our employee stock option plan.
Comprehensive 100% employer-paid health and dental premiums, a health and personal spending account.
A dedicated desk in our Vancouver, BC HQ, in the heart of downtown, with a fridge stocked with healthy snacks and drinks, an onsite gym, and a gorgeous rooftop amenity.
Enjoy a $20-per-day commuter benefit for every day you work in our Vancouver HQ.
An engaging social calendar, including bi-weekly catered lunches, bi-weekly “Friday bar,” team workouts, annual summer party, and holiday party, two “onsite” all-team retreats each year, semi-annual team-building events, and Hiive Womens’ Network events.
Significant opportunities for growth into team leadership and management roles.
Entrepreneurial culture and a small and dynamic team.
Sponsorship, immigration, and relocation for exceptional candidates.
Join knowmad mood as a Data Engineer / Analytics Engineer focusing on data processing for hotel business analytics. Collaborate within a mature data team on technological modernization strategies.
Senior Analytics Engineer at Simply Business designing data models and building infrastructure for AI and ML enhancement. Collaborating with engineering and product teams to integrate new data sources.
Data Analytics Engineer focused on building ETL pipelines and data models at Prodigy Finance. Working with AWS Redshift, Python, and SQL in a hybrid team.
Data Analytics Engineer driving innovative data solutions at Northern Trust. Collaborating on architecture, client satisfaction, and technology transformations with a global team in a hybrid role.
Analytics Engineer transforming raw data into actionable insights to support decision - making in data marketing. Working with various data technologies in a hybrid internship role in Paris.
Senior Analytics Engineer developing data pipelines and analytics capabilities for a data - driven analytics company. Collaborating with stakeholders to build trustworthy datasets for impactful decision - making.
Analytics Engineer driving the architecture and scalability of data models and pipelines at Preply. Collaborating across teams to empower data - driven decision - making in education tech.
Analytics Engineer for Customer Product Analytics team at Just Eat Takeaway.com. Enhancing user experience by delivering data - driven insights and optimizing product experience in a hybrid role.
Analytics Engineer transforming raw data into organized datasets. Collaborating with business teams to ensure data quality and governance in Azure environment.
Data Engineer creating scalable data pipelines for Capgemini's analytics solutions using modern ETL tools. Involves data storage and management using platforms like Snowflake and Redshift.