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

Key Responsibilities Professionals in this role may contribute to:Analytics, BI & Metric ReviewReview data scenarios involving SQL analysis, ad-hoc business questions, dashboard specifications, metric definitions, funnel analysis, cohort analysis, and reporting outputsEvaluate analytical outputs against source data, defined business logic, expected numerical results, and documented requirementsSupport structured review of SQL queries, BI dashboards, dashboard specs, metric documentation, and analytical summariesIdentify missing assumptions, query issues, metric inconsistencies, reporting gaps, and expected analysis outcomesExperimentation & Data Science SupportReview experimentation scenarios involving A/B test design, readouts, lift calculations, statistical significance, guardrail metrics, and decision criteriaEvaluate experiment outputs against defined metrics, expected values, testing assumptions, and analytical standardsSupport structured review of data science workflows, Python-based analyses, statistical outputs, and business interpretation materialsPrepare clear written explanations for data science and analytics decisions based on source materials and verifiable criteriaData Engineering & Pipeline Workflow ReviewReview data engineering scenarios involving ETL/ELT pipelines, dbt models, data quality monitoring, warehouse schema design, Airflow or Dagster DAGs, and pipeline documentationEvaluate pipeline outputs, schemas, transformations, orchestration logic, and data quality checks against documented requirementsSupport structured review of data artifacts such as dbt models, schema diagrams, data contracts, test suites, DAGs, and warehouse documentationMaintain accuracy, consistency, and professional judgment across submitted workIdeal Profile3 years of experience as a data scientist, analytics engineer, BI analyst, data analyst, product analyst, data engineer, decision scientist, or related data professionalWorking 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 analysisFamiliarity 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 systemsComfort reading and preparing data artifacts such as SQL queries, dbt models, experiment readouts, dashboard specs, schema diagrams, metric definitions, and pipeline documentationStrong written communication skills and ability to explain data decisions clearlyAbility to follow structured instructions and produce evidence-based workEducational BackgroundA degree or professional background in data science, statistics, mathematics, computer science, economics, engineering, business analytics, information systems, or a related quantitative field is helpfulEquivalent practical experience in data science, analytics engineering, business intelligence, experimentation, data engineering, or data workflow review is also highly relevantNice to HaveExperience in product, consumer, SaaS, marketplace, fintech, e-commerce, or data-mature company environmentsFamiliarity with experimentation frameworks, metric governance, data quality monitoring, warehouse design, pipeline orchestration, or modern data stack workflowsExperience preparing or reviewing SQL queries, dbt models, experiment readouts, dashboards, schema diagrams, funnel analyses, cohort reports, or data documentationExperience with Python-based analysis, statistical testing, data modeling, analytics engineering, or pipeline QAStrong attention to detail in data-heavy, metric-heavy, and documentation-based technical environmentsWhy This OpportunityApply data science and analytics expertise to structured remote project workContribute to high-quality analytics review, experimentation assessment, BI documentation, and data pipeline workflow analysisWork on flexible, project-based assignments aligned with your technical backgroundUse your data judgment in a focused, detail-oriented technical environmentRemote structure with competitive hourly compensationContract DetailsIndependent contractor roleFully remote with flexible schedulingPart-time commitment depending on project availabilityCompetitive rates between $75–$130 per hour depending on expertiseWeekly payments via Stripe or WiseProjects may be extended, shortened, or adjusted depending on scope and performanceWork will not involve access to confidential or proprietary information from any employer, client, or institution#J-18808-Ljbffr