General Interview Questions

Question 1

What is market intelligence?

Answer 1

Using understanding of market dynamics to inform decisions and strategy
e.g. trends, competitors, collaborators, customers

strategy inc. market opportunity, penetration and development

Question 2

Aspects of business strategy to consider

Answer 2

key to all: value creation and capture
1. External conditions

• inc. competitors, collaborators, customers, suppliers, substitutes - affects how you choose to differentiate

Incl. Market share + size

• relates to demographics, size of customer base, competition (no. of competitors, size of market, resources
• size and growth of market

Macro
- regulation, unions, tech, economy, political issues

2. Business/organisational details

inc.
use of technology, culture and identity, margins, costs, strategic resources - e.g. is it appropriable, durable, immmitable, valuable

Question 3

What is the value in financial modelling?

Answer 3

Projections
- Built off operating/financing assumptions
Financing needs
- Startup capital raises
History - what happened in past → what happens in the future
Discounted cash flow analysis
- Pro forma analysis
- New debt/equity
- M&A assessment - model combined operations, synergies, new capitalisation

Question 4

What is a business platform? What is a two-sided market?

What are factors to consider when running one?

Examples: Expedia, Uber, Amazon

Answer 4

A business model that creates value by facilitating exchanges between 2 or more interdependent groups, usually consumers and produces

Two sided marketplace - both buyers and sellers meet to exchange a product or service

Factors

• thickness - enough people on each side
• congestion - too congested, too much choice
• safety - ensure transaction meets requirements of both sides
• repugnance - immoral

Question 5

How to capture value from data

Answer 5

Create technical barriers

Contracts, rights and licensing

Pay for updated versions

Keep internal and provide complementary services, e.g. Amazon, Netflix recoemmendations

Give it away, provide complementary services

Question 6

Business framework: how to improve profits

Answer 6

Revenue - volume, price

Costs - fixed costs, variable costs

Question 7

Business framework: how to grow the business

Answer 7

Grow core business

• growth within segments: acquire, retain, incr. spend of customers
• focus on fastest-growing segments: geographies customer types

Grow outside of core business

• sell new products to existing clients
• use capabilities to get into new businesses

Question 8

How to reduce costs

Answer 8

Reduce need

• eliminate need, e.g. self-service
• reduce service level

Meet need w/ less resources

• eliminate waste
• improve productivity

Reduce cost of resources

• find cheaper alternatives
• renegotiate costs

Question 9

Whether to enter a new market

Answer 9

Market opportunity
- market size + growth

Potential share
- competitors, custome needs, offering

Potential profit
- investment, running costs, revenue

Capabilities + risks

Question 10

How to launch a new product?

Answer 10

Choose target segments
- size + growth, competitoion, customer needs

Define strategy
- product, price, distribution, brand + advertising

Implementation

Question 11

How to price a new product?

Answer 11

Costs
- variable costs, investment costs, fixed costs

Revenue: how much money can you extract from customer

• Clients’ willingness to pay
• Competitors or substitutes
• Market size and share

OR
- Diagnose problem/source of rev issue

• Strategy
• Implementation

Question 12

Whether to acquire a new business

Answer 12

Standalone value
- future revenue, future cost, valuation multiples

Synergies
- revenue growth, cost reduction

Capabilities + risk

Question 13

Whether to make an investment

Answer 13

impact on costs

impact on revenue
- breakeven

implementation

Question 14

How to respond to a competitive threat

Answer 14

Potential impact on business
- Segment affected, estimated loss

Opportunity pursued by competitor
- Size, profitability

Possible responses
- do nothing, mitigate, align, replicate, collaborate

Question 15

How to optimise a process

Answer 15

Map out current process
- Capacity, utilisation, bottleneck

Look into each step of the process
- eliminate, reduce cost, incr. speed, incr. quality, anticipate

Estimate gains

Question 16

Academic frameworks

Answer 16

1. Supply and demand
   - helps understand price changes, profit forecasting, markets outside of business, operations
2. The 3 C’s
   - Supply : company and competitors
   - Demand: customers
3. Porter’s 5 forces
   - Supply: competitors, suppliers, substitutes, new entrants
   - Demand: customers

Question 17

Factors to consider in M&A

Answer 17

1. Valuation of acquired company
2. Synergies
   Cost synergies
   Revenue synergies
3. Risks
   - Capabilities to manage and grow the site
   - Churn > projection, e.g. flight to another free platform

Question 18

ML and AI definition

Answer 18

ML: Learn from experience without being explicitly programmed
e.g. make predictions, create statistical models

AI: simulated intelligence in machines

Question 19

What is analytics?

Answer 19

Application of data, maths skills and tech to answer questions, discover relationships, predict unknown outcomes and automate decisions

Question 20

What does analytics look like in FS?

Answer 20

Benefits yet to be realised by most firms
Broad - business benefits - identify business issue, which can be fixed w/ ML and data science

Examples inc.

• Personalised banking
• Using AI assistants to generate personalised financial advise
• Customer segmentation
  e. g.identify clients w/ ‘lower value’
• Optimise processes
• Predictions to avoid falling revenues and reputational risks
• Assess credit risk

Question 21

Why did you study History at Uni

Answer 21

Keen interest in: wider mechanisms and macro trends that influence change.

• interest in data and tech, reflected on what is and will cont. to define modern world, found explosion of online info and how many opportunities it unlocked fascinating
• passionate about pursuing career in tech, ability to extract, analyse and manipulate external information offers a unique tool to better solve clients complex financial challenges.
• online info will cont. to revolutionise business strategies and way a company’s health is measured

Question 22

Why work as a data analyst?

Answer 22

summary: tech, problem-solve, working env. inc. rotational + collaborative and diverse

• Opportunity to make significant personal impact in providing innovative, data-driven solutions to client’s complex business problems
• To work in a diverse and collaborative working environment
• Rotational programme:
• Offers in-depth
  Understanding of many business areas and providing practical experience in a range of roles, from client services and product management to business consulting

Incredible value in creating networks across teams, multidisciplinary groups working together and data and knowledge sharing throughout the company, rotational aspect offers opportunity to do so by building relationships throughout different business areas

Question 23

Why do you want to work in FinTech? Why technology?

Answer 23

3: intellectual curisoity, problem-solving, understand wider mechanisms that influence change

1. Intellectual curiosity and dynamic:
   Stay on top of fast-moving industry and trends
   E.g. changes in consumer behaviour, technological developments
   Continue to learn and innovate
2. Ability to apply problem-solving ability
   Formulate objective to solve complex business problem - collating and synthesising vast amounts of information to formulate the potential risks, options and
3. Wider mechanisms
   History degree: Keen interest in: wider mechanisms and macro trends that influence change.

• interest in data and tech, reflected on what is and will cont. to define modern world, found explosion of online info and how many opportunities it unlocked fascinating
• passionate about pursuing career in tech, ability to extract, analyse and manipulate external information offers a unique tool to better solve clients complex financial challenges.
• online info will cont. to revolutionise business strategies and way a company’s health is measured

Question 24

In what type of working environment do you see yourself thrive in?

Answer 24

Fast-paced dynamic industry, need to posses ability to wear multiple hats and multitask effectively
Keen eye for detail, need to be analytical and agile to track issues and follow up in timely manner

Question 25

What steps would you recommend we take to improve our business?

Answer 25

Wider context: pandemic transformed business operations and relations - long-term

Challenge/step: how to maintain effective business in digital world

Prev experience: team breakdown result of failing morale and lack of communication from senior leadership - about maintaining same relationships w/ colleagues and clients remotely

recommend: cont. communication, team-building
e. g. enhanced platforms to interact with staff or clients, team-building exercises over zoom, clubs for shared interests e.g. book swaps

Question 26

Technical project you’ve worked on that you’re proud of + contribution?

Answer 26

Technical knowledge in practical way
Business Analytics project - predicting customer purchasing patterns
Skills: programming, understand and analyse data, technical tasks e.g. missing data
Commercial awareness: understanding the data and its wider implications
Not always most obvious answer - e.g. high performing store - may want to suggest follow that strategy - actually might imply that is central store - instead marketing to capitalise on store’s popularity

Question 27

Technical knowledge in practical way?

Answer 27

Business Strategy team project - studied theory of business strategy all term, tehen using real life data had to make recommendations to Mishcon de Reya

Question 28

What books have you read of interest recently?

Answer 28

Non-fiction - recent focus has been on econometrics, data and the fallacy of fake news
1. Tim Harford how to make the world add up - fallacy of fake news

2. Outside insight, Jorn Lyseggen - data-driven decision making

Question 29

When examining a business problem, e.g. customer retention, what are the factors you should consider, what databases do you want and what could be contributing to the problem?

Answer 29

Factors to consider - as basic level - how will we create and capture value?
Value creation: what is the problem, how do we solve it, how do we create value
Value capture: marketing plan, management team, competitive landscape
Who is our customer/ideal customer - how can we make the service/products customised to them?
What service do we provide that solves a problem
How will we provide the service? What is appealing, how will we build trust with customers
What is the long-term benefit of improving customer retention/sign up? E.g. how will this expand customer base (both customer-customer and customer-corporation)
What are competitors offering, how can we compete - what areas will we choose to excel in/focus on
Databases
Market size and share - no. users, no. of users of service across board + predictions for how this will change
Surveys, experiments - customer feedback etc
Internal data: marketing sales, accounting/finance
External: social media + print media response, other companies databases, consulting firms research related to field
Contributing to problem
Competitors more engaging/appealing
Lack of engagement
Not obvious to customer why they should sign up - i.e. what problem they have that the service helps overcome
Ineffective marketing campaign

Question 30

Analyse costs and revenue behind a real life product that you are familiar with?

Answer 30

LinkedIn: Simultaneous Pitch to Users, Advertisers, and Recruiters—with Scope for More?
What? Provide free, highly structured interactions, fixed cost driven operation, create incentives to participate and interact - either for hiring or to be hired, attract new users via existing users
Make money through: people paying for premium account, e.g. individuals seeking jobs,
Main money: advertisers and recruiters pay large sums, why?
Reach large, curated audience
Socially and professionally legitimate means for searching, matching and placement
Structured, data-driven search and placement
Access to unusually attractive, segmented professional audience inc. senior decision makers

Question 31

Analyse a fintech firm you are familiar with?

Answer 31

PayPal
Platform for personal and business transactions, transfers, payments and credit services
Largest and most popular online payment systems, more than 100m active accounts in 25 currencies

Strengths
Industry impact : used for govt payments, online donations, political fundraising and education payment processing
Global presence and large customer base: paypal used in over 202 countries, expanded quickly in the emerging market
Multiple services - wide service base
Simple to use: opening account v. quick
Strong backing: ebay acquired paypal, helped develop strong tech and boost security mechanisms
Viral marketing: anyone receiving paypal cash has to open an account

Limitation
Fraud exposure: target of many scams, PayPal’s fraud detection can be limited e.g. freezing for long period
High processing fees: paypal has high processing fees over transactions, international cards - can diverge expected users
Controversies regarding payment transcctions: accused of withheld funds, freezing, termination of paypal accounts - affects brand image
Depends on connectivity : relies on internet connection and digital literacy

Threats/risks
Competition - saturated market
Stringent economic policies e.g. China, Japan, Taiwan
Banking services - since 2020, some decline in fintech services due to rise in online banking
Hacking and fraud threats: remain issue, undermines trust in paypal

Question 32

What is digital transformation and how is it being used in finance ? How does it affect a company

Answer 32

Systems of intelligence

• Empower employees
• Engage customers
• Optimise operations
• Transform your product

Company effects
Layer 1: how to interact with clients and suppliers
- More and more digital platforms to reach out to clients more intuitively

Layer 2: company organisation
- Many of manual operating system - maximize through digitisation

Question 33

Example of AI being used to drive growth

Answer 33

Starbucks - using AI to drive growth
90m transactions / week
Virtual barista, ordering via voice command
Personalised targeted marketing
Identification of new store locations, new products

Question 34

How to keep analytics relevant for any audience?

Answer 34

Focus on business problem
Ask what value of problem being solved - cost or revenue
Reg fines?
Operational efficiency
Customer insight to better service customers
Look to see whether analytics is relevant and how it can quickly/most effectively unlock value

Question 35

Thinking about a situation you found challenging, what did you learn about yourself and what would you do differently?

Answer 35

What to study at uni

History: engaging, thought-provoking degree to pursue; it taught me to rapidly synthesise and critically analyse information and strengthened my verbal and written communication.

e.g. dissertation

Science and maths background;
missed the challenge of quantitative and statistical analysis, and its application to the real-world, as well as a logical approach to problem-solving.

numerate degree rewarding –> Business Analytics.

degree in history - skills inc.
understand the broader trends and mechanisms that affect organisations and industries, aiding the quantitative analysis of business problems undertaken on the Master’s programme

history degree highlighted the work I find most fulfilling, whether academic or professional, and subsequently, has been informative in choosing to pursue a career in tech and finance

Question 36

How do you keep up-to-date on news related to technology and financial sector?

Answer 36

1. Economist
   e. g.
2. Financial times
   e. g.
3. Analytics insight
4. Harvard Business Review
5. Towards data science - Medium

Question 37

Impact of COVID

Answer 37

Summary: new comp. landscape
- shift towards digitalisation, ESG considerations and corporate responsibility

Banks played crucial part in stabilising the economy and transmitting government stimulus and relief programme internationally
COVID-19 - reshaping global banking industry
New competitive landscape, stifling growth in some traditional product areas, prompting new wave of innovation, recasting role of branches, accelerating
Accelerated
Digitalisation - e.g. further adoption of contactless technologies and digital experiences
Virtualisation of work force - incr. adoption of flexible workplace models
Corporate responsibility - changing purpose of banks
Emergence of pop up ecosystems - value chain disruption leading to more creative partnerships, innovation, agility
Focus on cost reduction
Decelerating
Sharing economy - rising health and hygiene concerns and incr. virtual work → reduced demand for shared services
Urbanisation and global movement of people and goods - likely to decrease, in wfh and govt restrictions
What should banks do? Realise digital promise
E.g. finding optimal mix of digital and human interactions, using data intelligently, establishing novel partnerships and deploying compelling service delivery models

Question 38

Fintech trends for 2021

Answer 38

Broadly: organisations have developed innovative digital strategies to navigate more volatile economic landscape
Many established firms will be taking look at infrastrutucre to assess whether current systems up to scratch

1. Customer-centric application
   Fintech solutions have accelerated customers to forefront of financial orgs
   E.g. reduce friction: eliminate manual processes, cut down on external software dependencies, automating routine tasks
2. Digital first collaboration
   Work from home here to stay
   Financial orgs cont. to need digital tools to provide secure access to files and facilitate collaboration
3. Big data management
   Managing both structured and unstructured info valuable to gain data insights more effectively
   E.g. identify opportunities, optimise products and services, automate essential services
4. Pandemic proofing
   Aim to avoid disruptions vaused by pandemic
   How can fintech help? Integrating better document viewing, file conversion, data capture tools
5. Banking partnerships
   Banks etc incr. partnering w/ fintech start ups to reach new customer

Question 39

What is a transformative technology for fintech?

What is it and why is it significant?

Example

Answer 39

AI
unlocks value in data, catalyses innovation and long-term meaningful change
enables companies to:
- predict and shape future outcomes
- empower people to do higher-value work
- create intelligent workflows that automate decisions and experiences
- reimagine highly personalsied business models

AI challenges: Data, Talent, Trust, Initial investment costs
- many comps lack expertise and resources to take full advantage of AI

examples: banking, provide personal and emphathetic customer service, optimise processes

e.g.
AMEX: Able to capture more complete dataset w/ each transaction
- Fraud detection - ML model that detects fraud using inputs from:
- Card membership, spending habits, merchant info
- Customer retention and acquisition - utilises real time spending habits to offer targeted offers and coupons
- Identify new opportunities, e.g. supporting peer-to-peer payments on Facebook

Question 40

Why use ML?

Answer 40

ML algorithms simplify code and perform better
ML techniques automatically learn from history - program is shorter, easier to maintain
e.g. Spam filter

Complex problems for which there is no good or simple solution w/ traditional approach

E.g. speech recognition - cannot program to thousands of words spoken

Getting insights about complex problems and large amounts of data
ML can help humans learn: ML algorithms can be inspected to see what they have learned, see patterns not considered or not obvious to humans

Question 41

Analytics insight article on ai in finance

Answer 41

COVID-19 has catalysed financial services orgs to harness AI to improve customer experience
→ issue: challenges in integration and customer perceptions are undermining its potential
FS firms’ implementation of AI at scale is lowest across all industries, where AI has been deployed, there are stil customer expectations that are not being met - this issue does not occur in FinTechs
Stats : AI grown in customer services within FS
9/10 orgs say that improve customer experience is key objective behind launching new AI enabled initiatives
½ customers have daily AI-enabled interactions w/ banking and insurance forms - will incr. as COVID continues
Reduces cost of operations and icnr. revenue/customer

Question 42

Factors to consider with synergies between organisations

Answer 42

People integration
- senior leadership, demographics, expertise, culture

Processes and org integration

• leadership structure and governance
• operating model
• tech infrastructure
• HR and compensation systems

Business synergies

• customer segments
• product portfolio
• brand

Question 43

Greatest strength and why?

Answer 43

Problem-solving
- Formulate strategies, solving complex business problems but breaking down

–> linking to ability to provide realistic timeframe for work and working to tight deadlines

• Quantitive analysis and synthesis of data and other information sources
• Conflict resolution

Question 44

How to overcome obstacles + example

Answer 44

Measured approach
- assess and understand situation

• if already planned: implement Plan B, otherwise formulate strategy
• ensure that can complete work within timeframe e.g. reallocate people’s time/resources
• afterwards, can re-examine why the setback occured and what can be gained from it
  e. g. did not get a job/get into Cambridge

Example: Mishcon/dissertation project

• asked for data which we did not get
• -> while we were waiting, found alternative as other option

Question 45

Tell us about yourself

Answer 45

After graduating from Bristol in 2019, recognised that whilst I found it thought-provoking and challenging I missed quantitative analysis and had keen interest in tech and business

–> Business Analytics at UCL

As you can see from my CV, I have had varied working life, from tutoring to my first introduction to digital transformation in the NHS, what I have found most rewarding is the opportunity to make significant personal impact enabling and motivating others

extracurricular: run, half-marathon when possible

Question 46

What did you most and least enjoy about your previous job

Answer 46

job: tutoring
Most: problem-solving
flexible approach required to communicate and explain different topics to students, understand where was challenging for them

Least: Solitary
Find it v. motivating and energising to work collaboratively, gaining opinions and insight from others

Question 47

How would you build a relationship + example

Answer 47

Communication and consistency
- personal relationships, check ins

Example: tutoring - offer free 15 min session as tester to build repoire

Question 48

What does being a team player mean to you

Answer 48

• successful collaborator:
  listen, supports and motivates colleagues
• common goal
  sharing ideas, workload, providing constructive feedback
• personal skills:
  effective and flexible communicator, able to articulate themselves to superiors and within peer group
• open, appreciates different perspectives, working styles and experiences that each brings to a project
• broadly, understanding role within particular assignment and the company… incredible value in creating networks across teams, multidisciplinary groups working together and data and knowledge sharing throughout the company

Question 49

How do you approach complex task or information + example

Answer 49

Broad picture - what is the objectives and challenges

Understand info
e.g. basic level, what is data telling

Gain more in-depth understanding
- explore data, trends, insights, often helped with visualisations

Synthesis
- what are key takeaways, what solution does it provide

Question 50

Biggest weakness and why?

Answer 50

Impatience

During group projects at university I have found it more challenging to work to others schedules. However, I think this has made me more productive and during group projects more proactive in the organisation and idea of a timeframe

Question 51

What do you want to accomplish in first 6/12 months?

Answer 51

Understanding of company
- aided by rotational structure, business areas

Personal impact on no. of projects
- working w/ team to solve complex problems for clients, helping them implement long-term impactful change for their business

Collaboration
- again, rotational aspect offers opportunity to work with no. of people, gain insight into different working styles and experiences

Learning
- working hands-on w/ Expedia’s tech to gain insights from data and form business strategies

Question 52

Explain data and a database in simple terms, example

Answer 52

Data - raw and unorganised information - e.g. symbols, images, numbers, photos

Database:
Organised collection of structured information, generally stored electronically

Easily accessed, managed, modified, updated, controlled and organised

Example: online telephone directory

Question 53

Why you?

Answer 53

Academic

1. Technical skills inc. programmig
   - masters in BA - maths and stats - advanced comp and stats methods - transform data into powerful and predictive strategic asset

• history - wider mechanisms, synthesis and analysis

Interpersonal

• effective communicator and reliable worker
• innovative problem-solver e.g. GP
• leadership: group project

Question 54

What is something you learnt recently that is relevant to the job?

Answer 54

A: coding
How need? Recognised gap in my skill set, whilst i got a lot out of a history degree, was also in process of applying to a master’s where this would be crucial
How? Through 2 online courses programming will enable me to learn advanced computational and statistical methods for data analysis and transform data into a powerful and predictive strategic asset + practical consulting research project will provide an in-depth understanding of how to define and deliver practical, high-impact business analytics strategies that improve business performance.
2 main benefits: speeds up/more effective method of working on menial tasks, e.g. I now use R and Python for any data analysis task, and facilitates the use of complex systems, e.g. Machine Learning and predictive models

Question 55

What did you learn from doing a history degree?

Answer 55

Has been instrumental in my postgraduate degree and will be useful in my career:
Valuable in ‘questioning the evidence’ - range of biased sources, missing data, inaccurate/misleading interpretations
‘Nullius in verba’ - take nobody’s word for it - from Royal Society’s motto
Understanding the mechanisms that influence change,
Applying this to a contemporary business and financial setting: it has enabled me to better understand macro trends that will affect a business + wider context as to why decisions were made, they do not stand alone
Many business decisions abot=ut weighing up pros and cons of decisions, now often w/qunatitive metrics but same idea stands
Importance of finding synthesis of ideas - collating information to interpret to get meaning
Reading and taking on board themes and ideas you do not let understand - study was so independent …

Question 56

When did someone not agree with you/how did you persuade them round?

Answer 56

Business Analytics project - predicting customer purchasing patterns
Skills: programming, understand and analyse data, technical tasks e.g. missing data
Commercial awareness: understanding the data and its wider implications
Not always most obvious answer - e.g. high performing store - may want to suggest following store’s strategy
I made point that actually this could suggest its a city centre - e.g. chains on oxford st will vastly outsell a small chain another town
Other members were not convinced, find evidence of other examples to make suggestion about adjusting strategy

Question 57

What did you learn from your course?

Answer 57

1. General
   I have learnt the theories and principles behind business and data analytics, and their practical application
   My course has provided a solid foundation to provide solutions to help clients make better business decisions - across a range of areas and approaches
2. Coding
   Using R and Python to manipulate datasets, make predictions, understand trends in data, identify anomalies, missing data
3. Practical
   Data from Mishcon de Reya - utilised limited data to analyse and inform genuine business decisions and formation of strategy and policy

Data Viz - modelling cusotmer purchasing patterns

Question 58

Leadership example

Answer 58

In a team where we had to produce a report based on data from law firm Mishcon de Reya relating to environmental, social, corporate governance considerations
Given that it had real life applications and was the most independent piece of work on the Master’s so far, I was motivated to produce work of a high standard
No. of setbacks:
Data: lack of, waiting on Mischon then it was not as complete as expected
Meant that as deadline approached we had not produced comprehensive report and lacked direction - no one was clear on their specific tasks
3 weeks to deadline: I took responsibility to break down the larger task of a 4,000 word report into a broad plan and within that what tasks I thought should be completed - 5 members to organised into 5 areas to focus on
Had meeting to discuss where then was delegated
Result: produced comprehensive report that the lecturer marked and felt was of high enough standard to be shared with Mishcon de Reya, will inform their sustainability strategy AND their advice to British and international law firms
Satisfying to use data analysis to do meaningful work and genuinely make an impact

Question 59

What is hypothesis testing?

Answer 59

Statistical test - test results of a survey or experiment to examine whether meaningful result - formulated through null and alternative hypothesis

Example: ran a hypothesis test for change in M&S’ revenue through Sept. partnership w/ OCado - determine whether revenue statistically significantly different

result: yes

Question 60

Why you?

3 words your colleagues would describe you

Answer 60

Technical level - master’s in business analytics equipped me w/ requisite skills
Statistical and computational methods transform data into a powerful and predictive strategic asset
Logical approach to problem-solving and decision making + incr. business acumen - through real world experience e.g. logistic regression, Mishcon project
Offered insight into the vast business value derived from data - understanding, transforming and utilising for predictive analytics, whilst strengthening problem-solving and analytical skills
Interpersonal skills
Effective verbal and written communication - skills honed through history degree and tutoring
Leadership - took lead in disorganised and unclear project for uni - delegated work

3 words your colleagues would describe you
Problem-solve, team player, effective communicator

Question 61

Definition of consulting

Answer 61

Provide advice based on expertise - generally related to big business decisions

Question 62

Relevant skills - non-technical

Answer 62

Critical Analysis
History degree - rapidly synthesis and critically analyse vast amount of information
E.g. dissertation, a critical analysis of the mistreatment of mixed raced children after WWII, used both quant and qual sources to map the racial, social and political landscape that led to the discrimination of a racial minority

Self-motivation

e. g.: marketing analytics built logistic regression model using real life dataset to predict customer purchasing patterns
- use R and Python to produce data visualization to confirm and develop own understanding of the model

Work under pressure and tight deadlines
e.g. diss/Mishcon/other project - emergence of new info/dataset late on - motivated to produce best + most comprehensive version of events - worked over time to include - worth it…

e.g.2: tutoring, new pupil last min - used as teaching opportunity

Interpersonal skills: collaborative + effective communication

Question 63

Data and technical skills - examples

Answer 63

Summary: used data to provide actionable insights, drive improvements in business and formulate business strategies

1. identify trends, predict, visualise
2. communicate to stakeholders
3. hyp test
4. collect and integrate diff data sources
5. strong analytical ability