AI-Data Scientist - Expert

job summary:

The Senior Analytics Engineer is responsible for transforming raw internal data into trusted datasets, actionable insights, and executive-grade dashboards that support operational and strategic decision-making.

This role owns the end-to-end analytics stack, including data ingestion, modeling, pipeline engineering, semantic layer development, and dashboard delivery using Tableau and/or Power BI. The Senior Analytics Engineer partners closely with business stakeholders to understand business questions, translate them into scalable data products, and communicate insights effectively to audiences ranging from frontline teams to senior leadership and board-level stakeholders.

The team's current analytics environment is centered on Alteryx and is will be migrating to Google Cloud Platform (Google Cloud Platform) and BigQuery. This role will operate within the existing Alteryx ecosystem while helping design, build, and migrate analytics pipelines, data models, and reporting solutions to Google Cloud Platform-native services.

Statistical and predictive techniques are applied where they enhance business insights; however, the primary focus of this role is analytics engineering, business intelligence, and data storytelling rather than research-oriented data science.

location: Telecommute

job type: Contract

salary: $78.25 - 81.25 per hour

work hours: 9am to 6pm

education: Bachelors



responsibilities:

Principal Responsibilities

Data Engineering & Platform Migration

- Design, build, and operate data pipelines across both the current Alteryx environment and the target BigQuery/Google Cloud Platform platform.

- Ensure data quality, lineage, freshness, reliability, and observability throughout the transition lifecycle.

- Assess existing Alteryx workflows and define target-state architectures using BigQuery, Dataform, dbt, Cloud Composer, and related Google Cloud Platform services.

- Lead incremental migration efforts with validation processes to ensure functional parity between legacy and modernized workflows.

Data Modeling & Analytics Architecture

- Design dimensional models, semantic layers, and reusable data marts within BigQuery.

- Implement star-schema and medallion (Bronze/Silver/Gold) architectures to support scalable analytics and reporting.

- Create reusable data assets that accelerate dashboard development and self-service analytics.

Dashboard Development & Business Intelligence

- Design and deliver production-grade dashboards using Tableau and/or Power BI.

- Develop data models, advanced calculations, row-level security, drill-through experiences, and performance optimizations.

- Publish and govern reporting solutions that provide executive-ready insights and operational visibility.

Analytics & Insight Generation

- Perform trend, cohort, time-series, and comparative analyses to uncover business insights.

- Apply hypothesis testing, A/B test analysis, and lightweight predictive techniques where appropriate.

- Translate data into clear narratives, recommendations, and actionable business outcomes.

- Identify opportunities to unlock additional value from organizational data assets.

Stakeholder Partnership

- Serve as a subject matter expert for departmental data and analytics.

- Partner with business and technical teams to define requirements, metrics, and reporting needs.

- Resolve data inquiries and support critical business decisions with accurate analysis.

- Build durable partnerships across functions and establish trusted advisor relationships.

Documentation & Leadership Communication

- Document requirements, data contracts, metric definitions, technical designs, and migration runbooks.

- Create executive presentations and supporting materials for leadership and board-level discussions.

- Promote reporting standards, reusable assets, and analytics best practices across the organization.

qualifications:

Education

- Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, Statistics, Mathematics, Economics, or a related quantitative field.

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.


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