Data Analytics Lead

Data Analytics Lead

Company

Bitstack

Conditions

13 hours agoLead Paris (fully-remote) Remote Full Time Data Science Jobs by Bitstack

Skills

Data Quality Bigquery R Experimentation Dbt Metabase Regression Time Series Sql Python Segmentation Classification Cohort Retention Statistics Forecasting Looker A/B Testing Amplitude Funnel Analysis Analytics Engineering

About the Role

You will build the data function from scratch: define canonical metrics, datasets, and measurement plans, and make data discoverable and self-serve. You will instrument core user journeys, create dashboards and executive-ready narratives, run deep analyses and pragmatic models (forecasting, segmentation, anomaly detection, propensity and risk scoring), introduce experimentation and causal frameworks, and partner with Engineering and product stakeholders to validate data quality and turn analysis into clear recommendations.

Requirements

• Strong quantitative foundation in statistics economics mathematics computer science or equivalent experience
• Expert SQL and experience with production-grade datasets
• Strong Python or R for analysis modeling and automation
• Experience with experimentation hypothesis testing and causal thinking (A/B testing and quasi-experiments)
• Experience with funnel analysis cohort retention segmentation time-series analysis forecasting regression and classification
• Proven ability to solve ambiguous problems in a structured hypothesis-driven way
• Strong stakeholder communication and ability to translate analysis into recommendations
• Nice to have: BigQuery or similar analytical warehouse dbt Metabase Looker Tableau Amplitude Mixpanel PostHog and data quality/observability practices

Responsibilities

• Establish canonical metric definitions and trusted datasets
• Set up data discovery, documentation, and curated self-serve datasets
• Instrument core user journeys, define funnels and cohorts
• Perform quantitative analysis to understand business and product performance
• Build datasets, dashboards, and executive-ready narratives
• Partner with Engineering to implement validate and monitor event logging and data quality
• Deliver pragmatic models such as forecasting segmentation anomaly detection propensity and risk scoring
• Introduce experimentation frameworks and causal inference practices

Benefits

• Work from our office in Paris or Remote
• Flexible working hours
• Health insurance with 100% employer contributions
• Monthly team activities and bi-annual offsites
• Swile meal vouchers
• Bitstack stock options

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