Remote | Data Science & Analytics Workflow Consultant — $75–$130/hour24-MAG • New York, New York, United States
Remote | Data Science & Analytics Workflow Consultant — $75–$130/hour
24-MAG
- New York, New York, United States
- New York, New York, United States
Über
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
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Sprachkenntnisse
- English
Hinweis für Nutzer
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