Facet · 1 week ago

Lead Analytics Engineer

Baltimore, MD

Full-time

Onsite

Senior Level

$160K/yr - $190K/yr

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FinanceFinancial Services

Insider Connection @Facet

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Responsibilities

Development and maintenance of core data models, designed for efficient use across Analytics, Data Science, and Machine Learning use cases

Efficient orchestration of data models to maximize accuracy and availability, and minimize cost

Manage relationships with core technology partners across Data Science & Analytics, Software Engineering, Business Operations, Cybersecurity, and Platform Engineering to ensure data warehouse accuracy

Employ business acumen and analytical skills to identify suspicious system behaviors and track down issues before impacting downstream reporting and model outputs

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Customer data privacyTechnology aptitudeAutomationPythonSQLData modelingCloud environmentsProject managementBudget managementSQL template enginesData transformation pipelinesDistributed data systemsMachine learning frameworksVersion controlSource of truth system measuresData infrastructure setupHistorical data modelsUnstructured data parsingCustomer data modelingCommunicationTroubleshootingAnalyticalResourcefulCreativeCollaborationFinancial Data AnalysisSubscription SalesMarketing Data AnalysisWeb AnalyticsEcommerce Tracking

Required

Exemplary communication skills, especially when communicating with non-data stakeholders. Your ability to effectively communicate the needs of data functions with other technical leaders will be key to performing this role

Very strong troubleshooting and analytical skills

Strong customer data privacy knowledge and sensibility

Strong aptitude for technology and automation, driven to learn constantly and share knowledge with others

Resourceful, creative, and comfortable working in small teams with minimal supervision to solve complex business problems

Extensive experience leveraging Python and SQL to solve data problems

Familiarity with building and maintaining data models in cloud environments like BigQuery or Snowflake, and leveraging supporting cloud compute technology on GCP or AWS

Experience monitoring and managing large projects and budgets on GCP or AWS

Advanced knowledge using SQL template engines like dbt and Airflow for constructing end-to-end data transformation pipelines

Experience with distributed data systems, such as Apache Spark for handling large datasets

Familiarity with machine learning frameworks such as scikit-learn, xgboost, and similar

Experience collaborating with other Analysts, Data Scientists, and ML Engineers using version control

Experience identifying source of truth system measures from 1st and 3rd party systems to support downstream Data Science, Machine Learning, and Analytics requirements

Deep understanding of Data Science, Machine Learning, and Analytics workflows and how to set up data infrastructure that supports them

Extensive experience building foundational historical data models

Experience parsing unstructured data and translating it into simplified tabular formats for Analytics use cases

Advanced customer data modeling experience, including behavioral measurement aggregation and warehouse-side identity resolution

Preferred

Experience working with financial data, including transactions, account balances, and holdings data is a plus

Familiarity with subscription direct-to-consumer sales and marketing data, including web analytics and ecommerce tracking, subscription sales terminology

Experience with multi-touch attribution modeling

Benefits: $160,000-$190,000 base salary + bonus, Equity, Flexible PTO, All the benefits: medical, dental, and vision insurance, 401(k) with employer match, short and long term disability coverage (paid by Facet), life insurance options and paid parental leave, Certification reimbursement program, Work from anywhere in the US