Remote | Data Science & Analytics Workflow Consultant — $75-$130/hour

Key Responsibilities

Professionals in this role may contribute to:

Analytics, BI & Metric Review

• Review data scenarios involving SQL analysis, ad-hoc business questions, dashboard specifications, metric definitions, funnel analysis, cohort analysis, and reporting outputs
• Evaluate analytical outputs against source data, defined business logic, expected numerical results, and documented requirements
• Support structured review of SQL queries, BI dashboards, dashboard specs, metric documentation, and analytical summaries
• Identify missing assumptions, query issues, metric inconsistencies, reporting gaps, and expected analysis outcomes

Experimentation & Data Science Support

• Review experimentation scenarios involving A/B test design, readouts, lift calculations, statistical significance, guardrail metrics, and decision criteria
• Evaluate experiment outputs against defined metrics, expected values, testing assumptions, and analytical standards
• Support structured review of data science workflows, Python-based analyses, statistical outputs, and business interpretation materials
• Prepare clear written explanations for data science and analytics decisions based on source materials and verifiable criteria

Data Engineering & Pipeline Workflow Review

• Review data engineering scenarios involving ETL/ELT pipelines, dbt models, data quality monitoring, warehouse schema design, Airflow or Dagster DAGs, and pipeline documentation
• Evaluate pipeline outputs, schemas, transformations, orchestration logic, and data quality checks against documented requirements
• Support structured review of data artifacts such as dbt models, schema diagrams, data contracts, test suites, DAGs, and warehouse documentation
• Maintain accuracy, consistency, and professional judgment across submitted work

Ideal Profile

• 3 years of experience as a data scientist, analytics engineer, BI analyst, data analyst, product analyst, data engineer, decision scientist, or related data professional
• Working fluency in at least two areas such as advanced SQL, dbt, data warehousing, Snowflake, BigQuery, Redshift, experimentation, A/B testing, pipeline orchestration, metric modeling, or Python for analysis
• Familiarity with tools such as SQL, Python, dbt, Airflow, Dagster, Snowflake, BigQuery, Redshift, Databricks, Looker, Tableau, Mode, Hex, Metabase, Power BI, or similar data and analytics systems
• Comfort reading and preparing data artifacts such as SQL queries, dbt models, experiment readouts, dashboard specs, schema diagrams, metric definitions, and pipeline documentation
• Strong written communication skills and ability to explain data decisions clearly
• Ability to follow structured instructions and produce evidence-based work

Educational Background

• A degree or professional background in data science, statistics, mathematics, computer science, economics, engineering, business analytics, information systems, or a related quantitative field is helpful
• Equivalent practical experience in data science, analytics engineering, business intelligence, experimentation, data engineering, or data workflow review is also highly relevant

Nice to Have

• Experience in product, consumer, SaaS, marketplace, fintech, e-commerce, or data-mature company environments
• Familiarity with experimentation frameworks, metric governance, data quality monitoring, warehouse design, pipeline orchestration, or modern data stack workflows
• Experience preparing or reviewing SQL queries, dbt models, experiment readouts, dashboards, schema diagrams, funnel analyses, cohort reports, or data documentation
• Experience with Python-based analysis, statistical testing, data modeling, analytics engineering, or pipeline QA
• Strong attention to detail in data-heavy, metric-heavy, and documentation-based technical environments

Why This Opportunity

• Apply data science and analytics expertise to structured remote project work
• Contribute to high-quality analytics review, experimentation assessment, BI documentation, and data pipeline workflow analysis
• Work on flexible, project-based assignments aligned with your technical background
• Use your data judgment in a focused, detail-oriented technical environment
• Remote structure with competitive hourly compensation

Contract Details

• Independent contractor role
• Fully remote with flexible scheduling
• Part-time commitment depending on project availability
• Competitive rates between $75–$130 per hour depending on expertise
• Weekly payments via Stripe or Wise
• Projects may be extended, shortened, or adjusted depending on scope and performance
• Work will not involve access to confidential or proprietary information from any employer, client, or institution