Purpose: Get your data organized, trustworthy, and decision-ready.

What’s included:

• Data audit & needs assessment

• KPI definition aligned to business goals

• Data source integration (SQL warehouse, GA, ads, CRM, etc.)

• Clean, documented core metrics

• Executive-ready dashboard (Looker / Tableau / Mode / Sigma)

• Basic data QA + metric definitions

Outcome:
You finally trust your numbers and know what to look at weekly.

Purpose: Turn data into clear growth decisions.

Everything in Data Foundations, plus:

• Funnel & cohort analysis

• Marketing / pricing / product performance deep dives

• Experiment & A/B test analysis

• Advanced dashboards (multi-view, drill-downs)

• Actionable insights + recommendations (not just charts)

• Stakeholder readout & decision framework

Outcome:
You know what’s working, what’s leaking, and where to invest next.

Purpose: Use data as a predictive, AI-enabled strategic asset — not just a reporting function.

Everything in Growth Intelligence, plus:

• Advanced analytics & data science modeling (forecasting, LTV, churn, pricing, ROI)

• Scenario planning & decision modeling for leadership

• AI-assisted insight generation & automated anomaly detection

• Intelligent KPI monitoring & forward-looking trend analysis

• Custom SQL + Python workflows for scalable analytics

• Executive-level dashboards & board-ready metrics

• Analytics roadmap aligned to business and growth strategy

• Data governance, metric standardization & trust frameworks

• Proactive insights, opportunity identification & strategic advisory

Outcome:
You move from reactive reporting to predictive, AI-informed decision-making, with a senior analytics partner embedded in your business.

Purpose:

Help data professionals navigate competitive job markets with clarity, strategy, and confidence — not guesswork or generic advice.

• Personalized career strategy aligned to role level, strengths, and market demand

• Resume and LinkedIn optimization grounded in hiring signals and recruiter behavior

• Structured interview preparation (SQL, analytics, case studies, behavioral)

• Storytelling frameworks to communicate impact, not just skills

• Role-specific mock interviews with targeted, actionable feedback

• Hiring manager and recruiter perspective on evaluation criteria

• Offer strategy, compensation benchmarking, and negotiation guidance

• Market positioning for analytics and data science roles

• Confidence-building frameworks for high-stakes interviews and transitions

Outcome:

You move from scattered applications and uncertain interviews to a clear, strategic job search — entering interviews prepared, confident, and positioned to win competitive offers.