Senior Analytics Engineer - Marketing Data

Responsibilities
Kforce's retail client is looking for a Senior Analytics Engineer - Marketing Data for a fully remote contract role. Responsibilities:
Partner with business and technical stakeholders to understand use cases and determine whether available data is sufficiently detailed, complete, timely, and appropriately structured to support them
Identify, design, and build the Snowflake models, aggregations, materializations, and other data structures and usability, using views, dynamic tables, semantic views, stored procedures, and other appropriate technologies
Develop a strong working understanding of the data produced by marketing and ecommerce platforms
Elicit the underlying business need from requests that may initially be incomplete, unstructured, or solution-oriented; identify gaps and contradictions and distinguish among ingestion, modeling, CDP, activation, and reporting requirements
Challenge assumptions or proposed solutions when they do not align with the available data, system capabilities, or intended business outcome
Analyze source-system data and API documentation to determine whether the necessary objects, fields, identifiers, events, and levels of detail are available
Communicate technical constraints, tradeoffs, data limitations, and scope boundaries clearly as stakeholder requests and project priorities evolve
Write advanced, performant SQL to transform, combine, and prepare data in Snowflake
Develop Snowflake stored procedures and supporting utilities using Python, JavaScript, or Snowflake Scripting, with Python as the preferred language
Evaluate generated or externally supplied code for correctness, maintainability, performance, security, and alignment with engineering standards
Work within established development practices, including Git, version control, peer review, automated testing, and CI/CD
Troubleshoot source-data and integration issues in collaboration with internal engineers and external vendors
Requirements
Approximately five or more years of relevant professional experience in analytics engineering, data engineering, marketing data, or a closely related role
Professional, hands-on experience working with Google Analytics data in a business or production environment; Coursework, certifications, or self-directed learning without applied work experience are not sufficient
Professional experience supporting data in a retail or ecommerce environment
Advanced SQL skills and hands-on experience designing fit-for-purpose data models, transformations, and materializations in Snowflake
Working proficiency in Python, including the ability to read, evaluate, troubleshoot, and improve code written by others
Experience reviewing API documentation and mapping API objects, endpoints, fields, and identifiers to business requirements
Experience with Git and version-controlled development practices, including code review, testing, and CI/CD
CDP implementation or ongoing CDP data enablement, customer 360 data models, identity resolution, or audience activation
Event-level web behavioral data, cross-channel or cross-device identifiers, and marketing attribution data and concepts
Anonymous-to-known identification, consent and privacy requirements, and audience eligibility or suppression logic
Google Ads, Meta Ads, email, SMS, loyalty, or other paid-media and marketing technology platforms
Building or maintaining API-based ingestion processes
Demonstrated ability to elicit requirements from stakeholders, bring structure to ambiguous or nonlinear discussions, and translate business needs into precise, actionable technical work
Strong understanding of data validation across multiple stages of a data pipeline
Ability to work independently, exercise sound technical judgment, and recognize when requirements or proposed solutions do not make sense
Exceptional written and verbal communication skills
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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Work arrangement
Yes