How many skills should I list on a management-consulting CV?

Keep the technical / language / certification block to 6–10 lines, organised by cluster (Structuring & problem solving; Modelling & analytics; Practice-area depth; Implementation credentials; AI / Languages). Naming 30 tools dilutes the screening signal — name 6 tools you are partner-test-ready on (advanced Excel modelling, Tableau or Power BI, Alteryx, SQL, Python or R, named primary-research platform), 3 named certifications (Lean Six Sigma Green or Black Belt, PMP / Prince2 / SAFe, CFA / CPA / ACCA where relevant), and 2 named language fluencies. Add the AI workflow as a named productivity gain inside one of your top three case-team bullets, not as a tool list.

Which structuring vocabulary should I use on a McKinsey / BCG / Bain CV?

Use the structuring vocabulary the firm publishes in its own materials. McKinsey vocabulary: hypothesis-led problem solving, MECE issue tree, day-1 answer, pyramid principle, SCQA storyline, action-title decks, top-down + bottom-up sizing, three horizons of growth. BCG vocabulary: hypothesis-driven, two-by-two matrix, growth-share matrix, three-horizons growth, advantage / experience / scale curves, deconstruction. Bain vocabulary: hypothesis-led, Net Promoter / customer-loyalty, Results Delivery, full-potential operating model, Founders Mentality, RAPID decision rights. Tier-2 strategy boutiques (Oliver Wyman, Kearney, Roland Berger, LEK) use the firm's own version of the same canon. Pick the firm and align your vocabulary; mixing McKinsey and BCG vocabulary on the same CV is a small but screening-relevant signal.

Which analytics tools matter most on a 2026 consulting CV?

The default toolset across MBB, Big 4 Strategy and Tier-2 strategy is: advanced Excel modelling (always), Tableau or Power BI (one of the two), Alteryx (workflow design and predictive analytics), SQL (window functions and CTEs), and Python (pandas / numpy / scikit-learn) for consultants who code. Add R for heavier statistics, Databricks / Snowflake / dbt for warehouse-native projects, Celonis or Signavio for process mining, and Mural / Miro for workshop facilitation. For the AI ring add Claude / GPT-5 for memo and deck drafting, AlphaSense / Hebbia for expert-call synthesis, and Cursor / GitHub Copilot for code-heavy projects — name each tool with a workflow, not a familiarity statement.

Which certifications matter most on a management-consulting CV?

Lean Six Sigma Green or Black Belt is the highest-signal certification for any operations-leaning consulting role. PMP, Prince2 and SAFe / Scaled Agilist signal implementation readiness for digital, transformation and PMO-track roles. CFA Levels 1–3 and CPA / ACCA / CIMA signal financial-services, M&A or transaction-services readiness. ITIL 4 and TOGAF signal enterprise-architecture and ITSM readiness for technology consulting. AWS / Azure / GCP architect-level certifications signal cloud-migration and platform-engineering readiness. For ESG-track roles add GRI, SASB, TCFD or CSRD-aligned credentials. Big 4 Strategy practices weigh certifications heavier than MBB; ZS, LEK and Roland Berger weigh sector depth and named-engagement reference checks heavier than certifications.

Should I list MECE and pyramid principle on my CV explicitly?

Yes — but inside a structuring bullet, not as a stand-alone keyword. Strong shape: 'Designed a hypothesis-led MECE 4-pillar issue tree for a $2.1B Fortune-500 healthcare client cost-takeout engagement; reframed the partner's day-1 answer mid-month-1 after a falsifying customer-survey result, and re-built the storyline using SCQA + pyramid-principle synthesis ahead of the month-2 steerco.' Listing 'MECE' as a stand-alone skill bullet is keyword-stuffing and gets discounted; embedding it in a case-team bullet shows you can use it. The same logic applies to 'pyramid principle', 'hypothesis-led', 'action-title decks' and 'storyboard'.

How should I list AI tools on a consulting CV?

List Claude, GPT-5, AlphaSense, Hebbia, Cursor and GitHub Copilot inside a named workflow with a measured productivity gain — not as a stand-alone 'AI / ChatGPT familiarity' line. Strong shape: 'Built a Claude-driven first-draft synthesis pipeline for the engagement's 47 GLG / AlphaSights expert-call transcripts, cutting EM-review-ready synthesis from 18 hours to 5 hours while preserving the firm's confidentiality and IP-handling baseline; pipeline now adopted across two practice-area projects.' This signals you operate the modern consulting AI stack inside the firm's IP / NDA discipline — and the FTE-equivalent productivity gain is the metric senior partners screen for.

Should I list languages on a management-consulting CV?

Yes — name fluency level explicitly (Native, Bilingual, Professional, Conversational) and pair the language with the office it unlocks. McKinsey, BCG and Bain explicitly weight bilingual / trilingual fluency for European, Latin American, Middle Eastern and Asian offices; Big 4 Strategy and Tier-2 firms weight it for sector and country-specific engagements (e.g. native Mandarin for Greater China consumer projects, native Arabic for Gulf public-sector engagements, native French for Paris / Brussels / Geneva offices, native Portuguese for São Paulo). Use the IRP / CEFR scale (C2 Native, C1 Professional, B2 Conversational) where the recruiter is European; use the State Department / FSI scale where the recruiter is US public-sector adjacent.

How should I structure the case-team bullets on my consulting CV?

Every case-team bullet has the same four parts: client industry + scope ($ revenue / # employees / # countries / # SKUs), engagement question, your specific workstream, and the dollar / percent / time / risk-mitigated outcome. MBB-style bullets put the client industry first ('Led the customer-segmentation workstream on a $4.2B Fortune-100 industrials client...'); Big 4 / Tier-2 bullets are equally acceptable in either order. Use one sentence per bullet, end with the outcome, and quantify 80% of bullets at MBB. The supporting analytics tool (Tableau, Alteryx, Power BI, SQL, Python, GLG / AlphaSights / Guidepoint / Hebbia) lives inside the bullet, not in a stand-alone line. The certification / Lean Six Sigma / PMP credential lives in the technical block at the bottom of the page.

Management Consulting Resume Skills (2026) — MECE, Modelling, Decks, Tools & 60+ Examples by Practice

Consulting recruiters at McKinsey, BCG, Bain, Deloitte S&O / Monitor, PwC Strategy&, EY-Parthenon, KPMG Strategy, Oliver Wyman, Kearney, Roland Berger, LEK, ZS Associates and Accenture Strategy screen the skills block in three concentric rings before the case-team bullets are read. The first ring is structuring — MECE, hypothesis-led, pyramid-principle, SCQA, day-1 hypothesis, ghost-deck — the vocabulary that signals you can frame a client problem before you analyse one. The second ring is the modelling and analytics stack — advanced Excel modelling, Tableau, Power BI, Alteryx, Databricks, SQL, Python — the toolset that signals you can build the analyses to test the hypothesis. The third ring is the implementation block — Lean Six Sigma Green / Black Belt, PMP, Prince2, SAFe, agile delivery, change management, named ERP / SaaS migrations — the credentials that signal you can carry a client through delivery, not just write a strategy deck. This guide names 60+ skills across seven clusters — Structuring & problem solving; Modelling & quantitative analysis; Visualisation & analytics tools; Primary & secondary research; Practice-area depth; Implementation & change-management credentials; AI consulting stack — with examples calibrated to BA / Senior Associate / Engagement Manager / Principal / Partner level. Pick the cluster that matches the role, name the tools and certifications by name (not by family), and let the bullets do the rest.

Structuring & problem-solving vocabulary

Hypothesis-led problem solving
MECE issue-tree design
Pyramid principle / Minto pyramid
SCQA storyline structuring
Day-1 hypothesis / Day-1 answer
Ghost deck / storyboard
Action-title slide writing
Two-by-two matrix / BCG growth-share
Porter's five forces
Value chain analysis
Operating-model design
Spans-and-layers analysis
Top-down market sizing
Bottom-up market sizing
TAM / SAM / SOM
RACI design
Value-driver tree
Scenario design

Modelling & quantitative analysis (the Excel block)

Advanced Excel modelling (operating models, market-sizing, customer / unit economics)
DCF / NPV / IRR / WACC build
Sensitivity analysis (scenario manager, two-way data tables)
Monte Carlo simulation
Regression / classification (Excel, R, Python scikit-learn)
Conjoint and discrete-choice analysis
Pricing-elasticity modelling
LTV / CAC / payback modelling
Cost-to-serve modelling
Supply-chain network optimisation
Customer segmentation (k-means, hierarchical, latent class)
Synergy / dis-synergy quantification
Working-capital and debt-schedule modelling

Visualisation & analytics tools

Tableau (interactive dashboards, geospatial, parameterised filters)
Power BI (DAX, custom visuals)
Alteryx (workflow design, spatial analytics, predictive)
Databricks (Spark notebooks, Delta Lake)
Snowflake (warehouse-native modelling)
SQL (window functions, CTEs, query optimisation)
Python (pandas, numpy, scikit-learn, matplotlib, seaborn)
R (tidyverse, lme4)
Think-Cell (consulting-grade chart construction)
Mekko Graphics
Mural / Miro (workshop facilitation)
PowerQuery / PowerPivot
Process mining (Celonis, Signavio)

Primary & secondary research

Expert-call platforms — GLG, AlphaSights, Guidepoint, Third Bridge, proSapient, Atheneum
AlphaSense / Hebbia transcript and broker-research search
Capital IQ Pro / FactSet / Bloomberg / PitchBook screens
Statista / IBIS World / Euromonitor / Mintel sector reports
Customer-survey design (Qualtrics, SurveyMonkey, Forsta)
Win-loss interview design
Voice of Customer / VOC frameworks
Mystery shopping and channel-checks
Conjoint and MaxDiff survey design
Net Promoter Score / CSAT / CES survey methodology
Industry-association and regulator-source research
M&A target screening and longlist build

Practice-area depth (pick what matches the role)

Strategy — corporate / business-unit / functional / pricing / GTM / channel
Operations — Lean / Six Sigma / DMAIC / S&OP / supply-chain network / process re-engineering
M&A — commercial / operational / vendor due diligence / VCP / 100-day plan / PMI / carve-out / TSA
Digital — cloud migration / data platform / GenAI strategy / agentic workflows / AI operating model
Technology — ERP / S/4HANA / Workday / Salesforce / Oracle EBS / Microsoft Dynamics migration
People & Org — TOM design / spans-and-layers / culture diagnostic / change management / leadership pipeline
Risk & Regulatory — three-lines-of-defence / Basel IV / Solvency II / SOX 404 / GDPR / CCPA / AML / KYC
ESG & Sustainability — TCFD / CSRD / scope 1-2-3 / decarbonisation / Net Zero / climate-risk financial materiality
Sector depth — financial services / insurance / pharma / industrials / TMT / consumer / public sector

Implementation & change-management credentials

Lean Six Sigma Green Belt
Lean Six Sigma Black Belt
PMP (Project Management Professional)
Prince2 Foundation / Practitioner
SAFe Scaled Agilist / Program Consultant
Agile / Scrum delivery
Kanban / Kaizen
5S / Value Stream Map
Benefits-realisation tracking
Stakeholder-management RACI design
OCM / organisational change-management certification
TOGAF (enterprise architecture)
ITIL 4

AI consulting stack & languages

Claude / GPT-5 / Gemini for deck and memo drafting (with named workflow)
AlphaSense / Hebbia for expert-call and broker-research synthesis
Cursor / GitHub Copilot for consultants who code
Anthropic MCP / connector design for client deliverables
Prompt engineering and prompt-library design for project teams
AI ethics / IP / NDA-compliant workflow design
Bilingual / trilingual office-language fluency (English + French / German / Spanish / Mandarin / Arabic / Portuguese / Hindi)
Local-office regulator awareness (FCA SMCR for UK, MAS / SFC for HK / Singapore, GDPR / CCPA for data work)

Resume bullet examples

Business Analyst — Led the customer-segmentation workstream on a $4.2B Fortune-100 industrials client growth-strategy engagement; built a hypothesis-led 6-segment model from internal CRM and conjoint-survey data; identified $260M of incremental revenue (8.4% of Group) signed off by the CEO at month-3 steerco
Business Analyst — Built the cost-to-serve model for a $1.6B mid-cap retail client cost-reduction engagement covering 480 SKUs and 12 distribution centres; identified $48M of annualised savings (4.7% of operating cost) through a 3-tier service-level redesign
Senior Associate Consultant — Led the M&A commercial-due-diligence workstream on a $850M sponsor-led carve-out of a European industrials platform; ran 22 GLG / AlphaSights expert calls and a 1,200-respondent customer survey; reconfirmed the sponsor's value-creation plan thesis at month-2 IC
Senior Associate Consultant — Designed and executed a 6-month Lean Six Sigma Black Belt programme across 4 manufacturing sites of a €1.1B European auto-supplier; eliminated $12M of annualised cost-of-poor-quality, lifting first-time-yield from 91.2% to 96.8% and cutting customer reject PPM from 380 to 110
Consultant (post-MBA) — Led the GTM-redesign workstream on a $3.1B fintech growth-strategy engagement covering 14 country markets; redesigned the inside-sales / field-sales / partner mix using win-loss and conjoint data; lifted commercial productivity 19% and partner-attach 28% within month-9 of post-engagement tracking
Consultant (post-MBA) — Built and delivered the AI operating-model recommendation for a $4.5B asset manager; designed a 22-use-case GenAI portfolio with named LLM stack, governance gates and regulator handover; partner adopted the recommendation as the firm's 2026 AI-strategy commitment to the FCA
Engagement Manager — Led a 6-consultant case team on a $14B PE-led PMI engagement (industrials / aerospace combined enterprise) covering 11 functional integration workstreams; signed off Day-1 readiness, the 100-day plan and a $310M synergy capture target adopted by the combined-company CEO
Engagement Manager — Owned the operating-model redesign for a Fortune-200 healthcare client across 8 BU geographies and 22,000 employees; designed a 3-region / 2-shared-services TOM, spans-and-layers redesign saving $190M / yr, and a 14-month change-management programme delivered on-budget at month-13 close-out
Project Leader — Owned the supply-chain network redesign for a $7.5B FMCG client across 31 plants and 89 distribution centres; built the optimisation model in Alteryx + Tableau, identifying $410M of annualised savings (5.5% of cost-of-goods) and a 4-year capex envelope of $260M
Principal / Associate Partner — Led $5.4M of consulting sales in 2025 across 3 Fortune-500 industrials clients (cost-takeout, GTM redesign, post-merger integration); maintained 92% utilisation across the case-team year-on-year and onboarded 2 senior hires from competitor firms
Principal / Associate Partner — Delivered a 22-month digital-transformation programme for a $3.2B European bank — replaced the legacy core, migrated 4.3M customer records to a cloud-native platform, and shipped 14 customer-facing journeys; reduced cost-to-serve 31% and lifted NPS from 17 to 41 at month-22
Partner — Owned a $14M / yr book across financial services and asset management; built a 12-person practice-area team with 38% women and 27% under-represented minority composition; led the firm's Asia ex-Japan financial-services AI thought-leadership in 2025–2026

Three concentric rings determine whether a consulting recruiter reads your case-team bullets. Ring one — *structuring* — is the most-screened section on the page. The vocabulary recruiters look for is hypothesis-led, MECE, pyramid principle, SCQA, day-1 hypothesis, ghost-deck / storyboard, action-title decks, two-by-two matrices, value-driver trees, top-down / bottom-up market sizing. Without these terms the candidate is screened against banking and corporate-strategy laterals who do use them; with them the bullets get a chance.

Ring two — *modelling and analytics tools* — separates the consulting candidate from the generalist. Lead with advanced Excel modelling (operating models, market-sizing, customer / unit economics, sensitivity / scenario / Monte Carlo). Add the named visualisation stack (Tableau, Power BI, Alteryx, Databricks, Snowflake), SQL and Python (pandas, numpy, scikit-learn) for the consulting candidate who codes, R for the consultant who runs heavier statistics, and Think-Cell / Mekko Graphics for the deck-construction tier. Add Mural / Miro for workshop facilitation, Celonis / Signavio for process mining, and the named primary-research stack (GLG, AlphaSights, Guidepoint, Third Bridge, proSapient, Qualtrics, SurveyMonkey).

Ring three — *practice-area depth and credentials* — is what scales the candidate from the BA tier to EM and beyond. Practice-area depth lets the senior reader place you on the firm's chargeability map: Strategy & Corporate Finance, Operations, M&A, Digital / Technology, People & Org, Risk & Regulatory, ESG / Sustainability. Implementation credentials (Lean Six Sigma Green / Black Belt, PMP, Prince2, SAFe, Agile / Scrum, OCM, TOGAF, ITIL 4) signal you can carry a client through delivery, not just write a strategy deck. Sector depth (financial services, pharma, industrials, TMT, consumer, public sector) signals named-client readiness — and the boutique strategy houses (ZS for life-sciences, LEK for sector-specialist commercial diligence, Roland Berger for industrials / automotive, Oliver Wyman for FS / insurance) hire on this signal explicitly.

AI fluency is the 2026 differentiator across all three rings. Senior partners are now using Claude / GPT-5 for first-pass deck drafts, AlphaSense / Hebbia for expert-call and broker-research synthesis, and Cursor / GitHub Copilot for any consultant who codes. The right resume signal is *not* 'familiar with ChatGPT' — it is a named workflow with a measured productivity gain ('Built a Claude-driven first-draft synthesis pipeline for the engagement's 47 expert-call transcripts, cutting EM-review-ready synthesis from 18 to 5 hours while preserving the firm's confidentiality and IP-handling baseline'). The implicit message — 'I will give you 3.5 FTEs of consultant output per consultant seat without violating IP / NDA / independence rules' — is what differentiates a Senior Associate to EM promote candidate from a Senior Consultant lateral.

WadeCV tailors your management-consulting CV against any McKinsey, BCG, Bain, Deloitte S&O, PwC Strategy&, EY-Parthenon, KPMG Strategy, Oliver Wyman, Kearney, Roland Berger, LEK, ZS or Accenture Strategy job description in 60 seconds — paste the job URL, the AI builds a one-page version with practice-specific keywords, MECE-shaped case-team bullets, and the technical / certification / language block recruiters search for. Free to start, no credit card.

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Common mistakes to avoid

Listing 'MECE', 'pyramid principle', 'hypothesis-led' as stand-alone keyword bullets — these belong embedded in case-team bullets, not in a tool list
Quoting 30+ tools (Excel, Word, PowerPoint, Tableau, Power BI, Alteryx, Databricks, Snowflake, Looker, Mode, Hex, Fivetran, dbt, ...) — name 6 you are partner-test-ready on
Generic 'analytical, problem-solving, communication' soft-skills line — replace with structuring vocabulary the firm publishes in its own materials
Listing 'AI / ChatGPT familiarity' instead of a named workflow with a measured productivity gain — recruiters discount the familiarity claim and reward the workflow claim
Mixing McKinsey, BCG and Bain structuring vocabulary on the same CV — pick the firm and align the language
Quoting Lean Six Sigma without the belt level — Green Belt and Black Belt are different signals; Yellow Belt is sometimes treated as not-screened
Listing PMP / Prince2 / SAFe / OCM all four together at junior level — pick the one that matches the most-recent engagement and drop the rest
Listing language fluency without level — 'Spanish' alone is screened against bilingual / native candidates; use C2 Native, C1 Professional, B2 Conversational explicitly

Frequently asked questions

How many skills should I list on a management-consulting CV?
Keep the technical / language / certification block to 6–10 lines, organised by cluster (Structuring & problem solving; Modelling & analytics; Practice-area depth; Implementation credentials; AI / Languages). Naming 30 tools dilutes the screening signal — name 6 tools you are partner-test-ready on (advanced Excel modelling, Tableau or Power BI, Alteryx, SQL, Python or R, named primary-research platform), 3 named certifications (Lean Six Sigma Green or Black Belt, PMP / Prince2 / SAFe, CFA / CPA / ACCA where relevant), and 2 named language fluencies. Add the AI workflow as a named productivity gain inside one of your top three case-team bullets, not as a tool list.
Which structuring vocabulary should I use on a McKinsey / BCG / Bain CV?
Use the structuring vocabulary the firm publishes in its own materials. McKinsey vocabulary: hypothesis-led problem solving, MECE issue tree, day-1 answer, pyramid principle, SCQA storyline, action-title decks, top-down + bottom-up sizing, three horizons of growth. BCG vocabulary: hypothesis-driven, two-by-two matrix, growth-share matrix, three-horizons growth, advantage / experience / scale curves, deconstruction. Bain vocabulary: hypothesis-led, Net Promoter / customer-loyalty, Results Delivery, full-potential operating model, Founders Mentality, RAPID decision rights. Tier-2 strategy boutiques (Oliver Wyman, Kearney, Roland Berger, LEK) use the firm's own version of the same canon. Pick the firm and align your vocabulary; mixing McKinsey and BCG vocabulary on the same CV is a small but screening-relevant signal.
Which analytics tools matter most on a 2026 consulting CV?
The default toolset across MBB, Big 4 Strategy and Tier-2 strategy is: advanced Excel modelling (always), Tableau or Power BI (one of the two), Alteryx (workflow design and predictive analytics), SQL (window functions and CTEs), and Python (pandas / numpy / scikit-learn) for consultants who code. Add R for heavier statistics, Databricks / Snowflake / dbt for warehouse-native projects, Celonis or Signavio for process mining, and Mural / Miro for workshop facilitation. For the AI ring add Claude / GPT-5 for memo and deck drafting, AlphaSense / Hebbia for expert-call synthesis, and Cursor / GitHub Copilot for code-heavy projects — name each tool with a workflow, not a familiarity statement.
Which certifications matter most on a management-consulting CV?
Lean Six Sigma Green or Black Belt is the highest-signal certification for any operations-leaning consulting role. PMP, Prince2 and SAFe / Scaled Agilist signal implementation readiness for digital, transformation and PMO-track roles. CFA Levels 1–3 and CPA / ACCA / CIMA signal financial-services, M&A or transaction-services readiness. ITIL 4 and TOGAF signal enterprise-architecture and ITSM readiness for technology consulting. AWS / Azure / GCP architect-level certifications signal cloud-migration and platform-engineering readiness. For ESG-track roles add GRI, SASB, TCFD or CSRD-aligned credentials. Big 4 Strategy practices weigh certifications heavier than MBB; ZS, LEK and Roland Berger weigh sector depth and named-engagement reference checks heavier than certifications.
Should I list MECE and pyramid principle on my CV explicitly?
Yes — but inside a structuring bullet, not as a stand-alone keyword. Strong shape: 'Designed a hypothesis-led MECE 4-pillar issue tree for a $2.1B Fortune-500 healthcare client cost-takeout engagement; reframed the partner's day-1 answer mid-month-1 after a falsifying customer-survey result, and re-built the storyline using SCQA + pyramid-principle synthesis ahead of the month-2 steerco.' Listing 'MECE' as a stand-alone skill bullet is keyword-stuffing and gets discounted; embedding it in a case-team bullet shows you can use it. The same logic applies to 'pyramid principle', 'hypothesis-led', 'action-title decks' and 'storyboard'.
How should I list AI tools on a consulting CV?
List Claude, GPT-5, AlphaSense, Hebbia, Cursor and GitHub Copilot inside a named workflow with a measured productivity gain — not as a stand-alone 'AI / ChatGPT familiarity' line. Strong shape: 'Built a Claude-driven first-draft synthesis pipeline for the engagement's 47 GLG / AlphaSights expert-call transcripts, cutting EM-review-ready synthesis from 18 hours to 5 hours while preserving the firm's confidentiality and IP-handling baseline; pipeline now adopted across two practice-area projects.' This signals you operate the modern consulting AI stack inside the firm's IP / NDA discipline — and the FTE-equivalent productivity gain is the metric senior partners screen for.
Should I list languages on a management-consulting CV?
Yes — name fluency level explicitly (Native, Bilingual, Professional, Conversational) and pair the language with the office it unlocks. McKinsey, BCG and Bain explicitly weight bilingual / trilingual fluency for European, Latin American, Middle Eastern and Asian offices; Big 4 Strategy and Tier-2 firms weight it for sector and country-specific engagements (e.g. native Mandarin for Greater China consumer projects, native Arabic for Gulf public-sector engagements, native French for Paris / Brussels / Geneva offices, native Portuguese for São Paulo). Use the IRP / CEFR scale (C2 Native, C1 Professional, B2 Conversational) where the recruiter is European; use the State Department / FSI scale where the recruiter is US public-sector adjacent.
How should I structure the case-team bullets on my consulting CV?
Every case-team bullet has the same four parts: client industry + scope ($ revenue / # employees / # countries / # SKUs), engagement question, your specific workstream, and the dollar / percent / time / risk-mitigated outcome. MBB-style bullets put the client industry first ('Led the customer-segmentation workstream on a $4.2B Fortune-100 industrials client...'); Big 4 / Tier-2 bullets are equally acceptable in either order. Use one sentence per bullet, end with the outcome, and quantify 80% of bullets at MBB. The supporting analytics tool (Tableau, Alteryx, Power BI, SQL, Python, GLG / AlphaSights / Guidepoint / Hebbia) lives inside the bullet, not in a stand-alone line. The certification / Lean Six Sigma / PMP credential lives in the technical block at the bottom of the page.

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