Hypothesis testing, regression (linear/logistic/GLMs), hierarchical models, causal inference basics

Supervised/unsupervised, feature engineering, model selection, regularization, ensembling

A/B testing design, power calculations, uplift modeling, instrumental variables, synthetic controls

Window functions, CTEs, query plans, indexing, performance tuning

ARIMA, ETS, state-space, prophet, seasonal adjustment, forecasting evaluation

Proficiency with Python/R, libraries (pandas, scikit-learn, tidyverse), statistical packages

Principles of visual perception, dashboard design, tools (Tableau, Looker, Power BI, D3)

Backtesting, cross-validation, calibration, bias-variance tradeoff, explainability (SHAP/LIME)

Star/snowflake schemas, dimensional modeling, canonical models, entity definitions

Batch vs streaming, orchestration tools (Airflow, Dagster), data transformation best practices

Cloud DW/Lake (Snowflake, Redshift, BigQuery), object storage (S3), compute frameworks (Spark)

Kafka, Kinesis, Flink; event-driven architectures and low-latency requirements

AWS/GCP/Azure services, IaC, containers, CI/CD for analytics workloads

Designing/consuming data APIs, event schemas, contract/versioning practices

Ownership, stewardship, cataloging, data lineage and metadata management

GDPR/CCPA basics, anonymization, encryption, access controls — must ensure legal/regulatory alignment

Profiling, validation rules, SLAs, remediation workflows, observability

Fairness metrics, debiasing strategies, human-in-the-loop review, documentation (model cards)

Translating analytics into commercial impact, ROI thinking, cost-benefit tradeoffs

Funnel analysis, retention, activation, experiment interpretation, growth levers

Attribution models, media mix modeling, CLTV, segmentation, pricing analytics

Forecasting revenue, unit economics, CAC, LTV:PAC analysis, scenario planning

Inventory forecasting, capacity planning, demand sensing, optimization methods

Segmentation, journey analysis, churn modeling, NPS/voice of customer analytics

Sourcing, interviewing for senior/junior roles, creating career ladders, diversity hiring

Performance reviews, mentoring, skill development programs, knowledge transfer

Influencing product/engineering/marketing/finance; negotiating trade-offs

Prioritization frameworks (RICE/ICE), aligning analytics roadmap to business goals

Budget allocation for tools, headcount, vendor contracts, measuring ROI

Driving adoption, training, evangelism, managing resistance

Distilling insights into concise business outcomes, storytelling for C-suite

Designing operational vs strategic dashboards, alerting, self-serve analytics

Facilitating workshops, framing analytical uncertainty, advising on trade-offs

Analysis reproducibility, playbooks, runbooks, data dictionaries