LIVERPOOL FOOTBALL CLUB - 2020/21 Defending The Title

[Fooblack]

I think Klopp will only switch to the 4-2-3-1 against teams which will sit tight through the middle.  Sheffield Utd did a bit of that however, it did try to press pool up the pitch too. hence, the balance in Pool's positioning was not as tight and they end up giving quite a number of chances to SU. 

With 4 forwards in the lineup + 2 winger/fullbacks, this formation is not without high risks.  The team must learn to play in transition once they lose the ball otherwise, the defenders will give away shooting chances. 

Jota looks clinical when presented with chances.  Bobby finally broke his duck for pool this season. Mane and Salah all played their parts in the game. So, this emerging front 4 is developing well.  I think the 2 deep midfielder would likely be Henderson and Thiago going forward. The question mark will surround what this formation means for the other "odd" players like Gini, Keita and Ox.  

[Vegas]

Neverton have their best season. We are in crisis. 

joke

this season championship i honestly think can go to anyone. the lack of fans take away home advantage significantly

 

[Picnic06-Biante15]

Yahoo news : Liverpool fixtures are like driving 300mph and hoping the brakes work, says Jurgen Klopp

Liverpool manager Jurgen Klopp admits this season will be the most challenging of his career with the effects of Covid-19 playing havoc with the schedule.

A delayed start to the season, a knock-on effect of the previous campaign's three-month hiatus as a result of the coronavirus pandemic, means fixtures come thicker and faster than in previous years.

He has already felt the effects with Joel Matip, Naby Keita and Thiago Alcantara missing the midweek Champions League win over Ajax as a precaution because of knocks they received last weekend and Jordan Henderson limited to just 45 minutes in that game on medical advice.

for more read, link : https://sg.yahoo.com/news/liverpool-fixtures-driving-300mph-hoping-103039824.html

 

 

 

[Hamburger]

Only pool fans can appreciate.... 🤭

[Raymondism]

10 hours ago, Fooblack said:

I think Klopp will only switch to the 4-2-3-1 against teams which will sit tight through the middle.  Sheffield Utd did a bit of that however, it did try to press pool up the pitch too. hence, the balance in Pool's positioning was not as tight and they end up giving quite a number of chances to SU. 

With 4 forwards in the lineup + 2 winger/fullbacks, this formation is not without high risks.  The team must learn to play in transition once they lose the ball otherwise, the defenders will give away shooting chances. 

Jota looks clinical when presented with chances.  Bobby finally broke his duck for pool this season. Mane and Salah all played their parts in the game. So, this emerging front 4 is developing well.  I think the 2 deep midfielder would likely be Henderson and Thiago going forward. The question mark will surround what this formation means for the other "odd" players like Gini, Keita and Ox.  

The key to switching between 4-3-3 and 4-2-3-1 (or 4-2-4) is an attacking mid who can shuttle between leading the line and playing deep. Luckily we have Firminho (and Minamino). 

Gini will be gone by next season, Keita and Ox spent more time on treatment table. I wouldnt be surprised if only 1 of those 3 are still around in 2022. 

[Jamesc]

We should sign Gini's BFF and good fren of VVD.

[Raymondism]

11 hours ago, Jamesc said:

We should sign Gini's BFF and good fren of VVD.

Get Gini to extend contract and then sell to Barca???

[Cauldron]

New hardware.

[Jamesc]

Tonight we play the first club that use

Data Analytics.

We copied them.

And we even borrowed their Throw In coach.

At first people laugh at use for using Data Analytics and a Throw In coach.

Then we won the CL and PL and now they are all rushing to copy us.

Esp Man City. Anyone want to apply?

JOB DESCRIPTION

JOB TITLE: Data & Insights Analyst                          

DEPARTMENT: FRM – Fan Relationship Management

REPORTS TO: Data & Insights Manager

LOCATION: Manchester                     

DATE: January 2017   

____________________________________________________________

Job purpose

City Football Group is the owner of a number of football related businesses with global relevance. These include high profile professional football clubs, academies, technical support and marketing companies. CFG’s clubs include the Premier League’s Manchester City FC, new MLS Franchise New York City Football Club in the United States, Melbourne City FC of the Australian A-League, and a minority shareholder in Yokohama Marinos of the J-League in Japan.

The FRM team’s primary goal is to build fan loyalty and growth across all territories through an understanding of their behaviours and needs. This role is a unique opportunity to share best practices across the four City Football Group clubs: Manchester City, New York City, Melbourne City and Yokohama Marinos.

The Data & Insights Analyst must be highly analytical, personable, communicative and have a proven track record for delivering actionable insight. You will be working in a challenging and dynamic environment where your analysis will facilitate key business decisions and influence marketing strategies. You will enjoy centralising fan interactions from different sources: internal and external datasets (digital engagement, surveys, profiling information, etc.). The ideal candidate will have significant experience in analysing customer purchasing behaviour and translating data into insights that resonate with senior stakeholders across the business.

_____________________________________________________________

Key responsibilities

·        Responsible for providing actionable insights on fan behaviour analysis, optimising ticketing/retail revenues, and driving segmentation strategies.

 

·        Working with data agency on RFV segmentation analysis to see how our marketing activity impacts fan loyalty and encourages movements between segments

 

·        Runs ad-hoc data analysis upon request from the FRM team but also the wider marketing and leadership team

 

·        Define and automate new KPIs to track fan growth, campaign engagement, ticketing and membership sales

 

·        Build data models to improve personalisation and engagement across our digital portfolio: email, website, app, and social media. 

 

·        Aggregating data from multiple sources to improve automated reporting, customer analytics, and propensity modelling

 

·        Drive lifetime value project, understanding customers’ value based on acquisition source to inform marketing strategy and business cases

 

General responsibilities

·        Compliance with Club policies

·        Compliance with the Club’s health and safety procedures

·        To undertake such other duties as may be reasonably expected

·        To maintain professional conduct at all times

_____________________________________________________________

Key relationships

Internal

·        Manager

·        IT Support Analyst (IT) – co-operation

·        Digital Delivery Manager

·        Data & Insights Manager (Marketing) – co-operation

·        eCRM Campaign Executive

·        Partnership Sales

·        Research & Insights

·        Ticketing and Memberships

·        CFG – FRM

External

·        Salesforce Senior Account Manager (CRM platform)

·        Gigya Account Manager (Social Media platform)

·        Exact Target Account Manager (ESP)

·        Business Intelligence Account Manager

·        SAP (CRM platform)

·        Data & Analytics Agency (Segmentation)

·        Data Providers (3rd party demographics)

_____________________________________________________________

Scope of job

·        Build ‘360 view’ customer view for analytics & reporting

·        Automate KPIs for data-driven decision making

·        Ad hoc projects and insights for MCFC (80%) and sister clubs (20%)

___________________________________________________________________

Organisation chart

 

Person Specification

Job Title: Data & Insights Analyst                  Department/Location: FRM/Manchester                                                                    

Knowledge: the level and breadth of knowledge to do the job e.g. understanding of a defined system, method or procedure, legal or regulatory frameworks etc

Essential

·        Commercially oriented but comfortable with IT & digital systems

·        Ability to analyse data to provide insights and recommendations

·        Can help lead change towards a customer focused culture

·        Experience of managing data and statistical analysis

·        Knowledge of propensity modelling techniques

·        Knowledge of cluster analyses and calculation of lifetime profitability scenarios

 

Desirable

Experience in sports or CRM is an added plus

 

Technical/work-based skills: skills specific to the job e.g. language competence, typing skills, coaching skills etc

Essential

·        Understanding of SQL

·        Competence with Microsoft Office, advanced Excel user

·        Ability to deliver high quality presentations or data tables

Desirable

·        Macros, VBA, Python, R, SPSS

·        Working knowledge of CRM platforms

Experience with business intelligence platforms like Tableau and SAS is a bonus

·        Experience with web/mobile analytics solutions (Google Analytics, Omniture) a plus.

 

General skills and attributes: more general characteristics e.g. flexibility, communication skills, team working etc

Essential

Extremely organised and a strong presenter of data

·        Well-developed analytical & quantitative skills and an aptitude for problem solving

Self-motivated and goal oriented individual with a task delivery mentality

Attention to detail

Disciplined hard worker and collaborative team player

Desirable

Passion for the sport of football

 

Experience: proven record of experience in a particular field, profession or specialism. Any period of work required must be appropriate and not excessive.

Essential

·        Between 1 - 3 years of experience in an analytical role

·        Will consider candidates with fewer years of professional experience, if can prove fit with technical and general skills, and track record in setting and achieving ambitious goals

 

Qualifications: the level of educational, professional and/or occupational training required

Essential

·        Bachelor’s Degree in Business, Marketing, Economics, Math or Computer Science

Desirable

·        Advanced degree (MA) preferred but not required

 

 

 

[Xers007]

33 minutes ago, Jamesc said:

Tonight we play the first club that use

Data Analytics.

We copied them.

And we even borrowed their Throw In coach.

At first people laugh at use for using Data Analytics and a Throw In coach.

Then we won the CL and PL and now they are all rushing to copy us.

Esp Man City. Anyone want to apply?

JOB DESCRIPTION

JOB TITLE: Data & Insights Analyst                          

DEPARTMENT: FRM – Fan Relationship Management

REPORTS TO: Data & Insights Manager

LOCATION: Manchester                     

DATE: January 2017   

____________________________________________________________

Job purpose

City Football Group is the owner of a number of football related businesses with global relevance. These include high profile professional football clubs, academies, technical support and marketing companies. CFG’s clubs include the Premier League’s Manchester City FC, new MLS Franchise New York City Football Club in the United States, Melbourne City FC of the Australian A-League, and a minority shareholder in Yokohama Marinos of the J-League in Japan.

The FRM team’s primary goal is to build fan loyalty and growth across all territories through an understanding of their behaviours and needs. This role is a unique opportunity to share best practices across the four City Football Group clubs: Manchester City, New York City, Melbourne City and Yokohama Marinos.

The Data & Insights Analyst must be highly analytical, personable, communicative and have a proven track record for delivering actionable insight. You will be working in a challenging and dynamic environment where your analysis will facilitate key business decisions and influence marketing strategies. You will enjoy centralising fan interactions from different sources: internal and external datasets (digital engagement, surveys, profiling information, etc.). The ideal candidate will have significant experience in analysing customer purchasing behaviour and translating data into insights that resonate with senior stakeholders across the business.

_____________________________________________________________

Key responsibilities

·        Responsible for providing actionable insights on fan behaviour analysis, optimising ticketing/retail revenues, and driving segmentation strategies.

 

·        Working with data agency on RFV segmentation analysis to see how our marketing activity impacts fan loyalty and encourages movements between segments

 

·        Runs ad-hoc data analysis upon request from the FRM team but also the wider marketing and leadership team

 

·        Define and automate new KPIs to track fan growth, campaign engagement, ticketing and membership sales

 

·        Build data models to improve personalisation and engagement across our digital portfolio: email, website, app, and social media. 

 

·        Aggregating data from multiple sources to improve automated reporting, customer analytics, and propensity modelling

 

·        Drive lifetime value project, understanding customers’ value based on acquisition source to inform marketing strategy and business cases

 

General responsibilities

·        Compliance with Club policies

·        Compliance with the Club’s health and safety procedures

·        To undertake such other duties as may be reasonably expected

·        To maintain professional conduct at all times

_____________________________________________________________

Key relationships

Internal

·        Manager

·        IT Support Analyst (IT) – co-operation

·        Digital Delivery Manager

·        Data & Insights Manager (Marketing) – co-operation

·        eCRM Campaign Executive

·        Partnership Sales

·        Research & Insights

·        Ticketing and Memberships

·        CFG – FRM

External

·        Salesforce Senior Account Manager (CRM platform)

·        Gigya Account Manager (Social Media platform)

·        Exact Target Account Manager (ESP)

·        Business Intelligence Account Manager

·        SAP (CRM platform)

·        Data & Analytics Agency (Segmentation)

·        Data Providers (3rd party demographics)

_____________________________________________________________

Scope of job

·        Build ‘360 view’ customer view for analytics & reporting

·        Automate KPIs for data-driven decision making

·        Ad hoc projects and insights for MCFC (80%) and sister clubs (20%)

___________________________________________________________________

Organisation chart

 

 

Person Specification

Job Title: Data & Insights Analyst                  Department/Location: FRM/Manchester                                                                    

Knowledge: the level and breadth of knowledge to do the job e.g. understanding of a defined system, method or procedure, legal or regulatory frameworks etc

Essential

·        Commercially oriented but comfortable with IT & digital systems

·        Ability to analyse data to provide insights and recommendations

·        Can help lead change towards a customer focused culture

·        Experience of managing data and statistical analysis

·        Knowledge of propensity modelling techniques

·        Knowledge of cluster analyses and calculation of lifetime profitability scenarios

 

Desirable

Experience in sports or CRM is an added plus

 

Technical/work-based skills: skills specific to the job e.g. language competence, typing skills, coaching skills etc

Essential

·        Understanding of SQL

·        Competence with Microsoft Office, advanced Excel user

·        Ability to deliver high quality presentations or data tables

Desirable

·        Macros, VBA, Python, R, SPSS

·        Working knowledge of CRM platforms

Experience with business intelligence platforms like Tableau and SAS is a bonus

·        Experience with web/mobile analytics solutions (Google Analytics, Omniture) a plus.

 

General skills and attributes: more general characteristics e.g. flexibility, communication skills, team working etc

Essential

Extremely organised and a strong presenter of data

·        Well-developed analytical & quantitative skills and an aptitude for problem solving

Self-motivated and goal oriented individual with a task delivery mentality

Attention to detail

Disciplined hard worker and collaborative team player

Desirable

Passion for the sport of football

 

Experience: proven record of experience in a particular field, profession or specialism. Any period of work required must be appropriate and not excessive.

Essential

·        Between 1 - 3 years of experience in an analytical role

·        Will consider candidates with fewer years of professional experience, if can prove fit with technical and general skills, and track record in setting and achieving ambitious goals

 

Qualifications: the level of educational, professional and/or occupational training required

Essential

·        Bachelor’s Degree in Business, Marketing, Economics, Math or Computer Science

Desirable

·        Advanced degree (MA) preferred but not required

 

 

 

You apply and 无间道 for pool lah, but seems long expired Jan 2017.

[Jamesc]

4 minutes ago, Xers007 said:

You apply and 无间道 for pool lah, but seems long expired Jan 2017.

Sorry, sorry this one is the old one.

This is the latest vacancy.

https://careers.cityfootballgroup.com/job/Manchester-Football-Intelligence-Analyst/628677401/

Football Intelligence Analyst

Location:  

Manchester, GB

Opening Date:  26-Oct-2020

Full Time / Part Time:  Full Time

Contract Type:  Permanent

JOB DESCRIPTION

 

Role: 

Football Intelligence Analyst

 

Division:

CFG

Reports to:

Senior Football Intelligence Manager 

Closing Date – 6th November 2020

Department:

Global Football

Purpose:

At City Football Group, our Data Insights & Decision Technology (DIDT) team have over 20 years of experience delivering actionable insights to practitioners in football clubs and governing bodies across the world. Through ongoing investment in our people, data, technology & processes we strive to continually support the CFG clubs in making better football decisions, faster.

This role will support in the delivery of our football intelligence services across all football functions - Talent Management; Football Performance; and Human Performance - within our City Football Group clubs.

 

This support will primarily be focused on:

• High quality, reliable and insightful data science

• Engaging communication of insights

• Educating and upskilling the analytical capabilities of football staff

 

 

Accountabilities with Key Outcomes: 

1

Play a key role in the development of our proprietary insights platform, delivering analytical insights to football practitioners across all CFG clubs

 

2

Development of models and provision of analytical support to CFG clubs with the aim of developing the quality and value of our players and teams

 

3

Play a key role in developing our intelligence & processes in the transfer market as well as having a positive impact on our player trading outcomes

 

4

Provide analytical reviews/audits of all CFG clubs from a talent and performance perspective, providing recommendations for interventions

 

 

Knowledge, Skills and Experience: 

Essential

2+ years’ experience utilising Tableau to drive actions & decision making.

 

Some experience in Python, R or other programming language.

 

Insatiable curiosity, imagination and creativity to come up with ideas to tackle football performance challenges and design/implement cutting edge solutions.

 

Evidence of working with, deriving & clearly communicating actionable insights from football data, either as a hobby or within previous employment.

 

Creative problem solver with the drive and discipline to learn and develop new skills.

 

Ability to work in an agile manner suited to the innovative & fast-paced nature of the football industry.

 

Ability to work with our Data Insights & Decision Technology team to understand the performance challenges faced by our clubs and create

Desirable

Experience working with both structured and unstructured data-sources including text, video and spatio-temporal data.

 

Experience with big data tools such as Databricks, Spark, Hadoop or similar.

 

Experience with Azure, AWS or GCP cloud services or equivalent.

 

Experience with data pipeline and workflow management tools such as Azure Data Factory, AWS data pipelines, Apache Airflow, etc.

 

Experience working and communicating in the sporting environment.

 

Written & verbal fluency Spanish and/or French

 

 

 

    

                                   

 

 

City Football Group promotes equal opportunities in employment and we positively welcome applications from all candidates regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex and sexual orientation.

We will screen all applicants and select candidates whose skills and experience seem to meet our needs. We will carefully consider your application during the initial screening and will contact you only if you are selected for an interview. 

Employment is subject to the provision of proof of eligibility to work in the UK.

The City Football Group is fully committed to safeguarding children and other vulnerable people across our business. As such, appointment to this post may be subject to Safer Recruitment processes including a satisfactory enhanced disclosure via the Disclosure & Barring Service and prior to taking up the role.

If you have any further questions about the role or your application, please contact [email protected]

 

[Jamesc]

City also looking for

https://careers.cityfootballgroup.com/job/Manchester-Computer-Scientist/623953101/

Computer Scientist

Location:  

Manchester, GB

Opening Date:  05-Oct-2020

Full Time / Part Time:  Full Time

Contract Type:  Permanent

JOB DESCRIPTION 

 

Role:   

Computer Scientist 

Division:  

CFG 

Reports to: Director of Data Insights & Design Technology

 

Closing Date – 6th Nov 2020

Department: Global Football  

 

Purpose:  

At City Football Group, our Data Insights & Decision Technology (DIDT) team are continuing to evolve and enhance our impact on the decision-making processes across our football clubs. Through our continued investment in Artificial Intelligence and Simulation we are testing and refining footballing principles and building solutions that enable key stakeholders and performance practitioners to make better decisions faster. 

 

This role will work within our Football AI function, collaborating with the wider DIDT team and CFG Data Engineers, to theorize, design, develop, test and implement innovative solutions that will place the power of our AI models into the hands of key football stakeholders. 

 

Accountabilities with Key Outcomes:  

1 

Working in the Data Insights & Decision Technology team alongside CFG Data Engineers to help solve football performance challenges through the development of mathematical models that are deployed via innovative applications. 

2 

Play a key role in developing our Narrow AI platform to identify talent, inform development pathways and understand & predict the football transfer market 

3 

Conducting research though applied experimentation and modelling that will evolve our understanding of football from a recruitment, medical and on-pitch perspective. 

4 

Play a collaborative role within the DIDT team in advancing our computer vision, simulation & reinforcement learning environments. 

5 

Working with the Football AI team to productionize our AI-based solutions that support decision making processes across our football clubs. 

 

Knowledge, Skills and Experience:   

Essential  

MSc or PhD in Computer Science, Engineering or related subject. 

 

3+ years working in a field related to computer science 

 

Applied expertise in using Python, C++ or other programming language. 

 

Experience with big data tools such as Databricks, Spark, Hadoop or similar. 

 

Experience with Azure, AWS or GCP cloud services or equivalent. 

 

Demonstrable experience developing computer vision algorithms. 

 

Insatiable curiosity, imagination and creativity to come up with ideas to tackle football performance challenges and design/implement cutting edge solutions. 

 

Experience working with both structured and unstructured data-sources including text, video and spatio-temporal data. 

 

Evidence of working with and deriving actionable insights from football data either as a hobby or within previous employment.  

 

Ability to work with our Data Insights & Decision Technology team to understand the performance challenges faced by our clubs and create strategies that deliver positive interventions.  

 

Ability to work in an agile manner suited to the innovative and fast-paced nature of the football industry.  

 

Desirable  

Experience in producing computer simulations from a mathematical specification. 

 

Experience working and communicating in the sporting environment.  

 

Experience with data pipeline and workflow management tools such as Azure Data Factory, AWS data pipelines, Apache Airflow, etc. 

 

 

 

 

    

 

 

 

 

Job Impact/Influence Measures:  

Delivery of activities related to a specific area of work with CFG, including technical/para-professional support and operational delivery  

Operational/analytical role, with specific knowledge/expertise primarily developed through specialised training. 

Decision-making Authority:  

Focus will be on managing processes and activities against agreed plans, co-ordinating activities with colleagues. Up to monthly planning horizons. 

Accountable for the delivery of specific, time-bound outcomes – working towards agreed/recognised/standardised outputs. 

 

 

 

City Football Group promotes equal opportunities in employment and we positively welcome applications from all candidates regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex and sexual orientation.

We will screen all applicants and select candidates whose skills and experience seem to meet our needs. We will carefully consider your application during the initial screening and will contact you only if you are selected for an interview. 

Employment is subject to the provision of proof of eligibility to work in the UK.

The City Football Group is fully committed to safeguarding children and other vulnerable people across our business. As such, appointment to this post may be subject to Safer Recruitment processes including a satisfactory enhanced disclosure via the Disclosure & Barring Service and prior to taking up the role.

If you have any further questions about the role or your application, please contact [email protected]

 

Job Segment: Computer Science, Research, Technology

[Cauldron]

1 hour ago, Jamesc said:

Tonight we play the first club that use

Data Analytics.

We copied them.

And we even borrowed their Throw In coach.

At first people laugh at use for using Data Analytics and a Throw In coach.

Then we won the CL and PL and now they are all rushing to copy us.

Esp Man City. Anyone want to apply?

JOB DESCRIPTION

JOB TITLE: Data & Insights Analyst                          

DEPARTMENT: FRM – Fan Relationship Management

REPORTS TO: Data & Insights Manager

LOCATION: Manchester                     

DATE: January 2017   

____________________________________________________________

Job purpose

City Football Group is the owner of a number of football related businesses with global relevance. These include high profile professional football clubs, academies, technical support and marketing companies. CFG’s clubs include the Premier League’s Manchester City FC, new MLS Franchise New York City Football Club in the United States, Melbourne City FC of the Australian A-League, and a minority shareholder in Yokohama Marinos of the J-League in Japan.

The FRM team’s primary goal is to build fan loyalty and growth across all territories through an understanding of their behaviours and needs. This role is a unique opportunity to share best practices across the four City Football Group clubs: Manchester City, New York City, Melbourne City and Yokohama Marinos.

The Data & Insights Analyst must be highly analytical, personable, communicative and have a proven track record for delivering actionable insight. You will be working in a challenging and dynamic environment where your analysis will facilitate key business decisions and influence marketing strategies. You will enjoy centralising fan interactions from different sources: internal and external datasets (digital engagement, surveys, profiling information, etc.). The ideal candidate will have significant experience in analysing customer purchasing behaviour and translating data into insights that resonate with senior stakeholders across the business.

_____________________________________________________________

Key responsibilities

·        Responsible for providing actionable insights on fan behaviour analysis, optimising ticketing/retail revenues, and driving segmentation strategies.

 

·        Working with data agency on RFV segmentation analysis to see how our marketing activity impacts fan loyalty and encourages movements between segments

 

·        Runs ad-hoc data analysis upon request from the FRM team but also the wider marketing and leadership team

 

·        Define and automate new KPIs to track fan growth, campaign engagement, ticketing and membership sales

 

·        Build data models to improve personalisation and engagement across our digital portfolio: email, website, app, and social media. 

 

·        Aggregating data from multiple sources to improve automated reporting, customer analytics, and propensity modelling

 

·        Drive lifetime value project, understanding customers’ value based on acquisition source to inform marketing strategy and business cases

 

General responsibilities

·        Compliance with Club policies

·        Compliance with the Club’s health and safety procedures

·        To undertake such other duties as may be reasonably expected

·        To maintain professional conduct at all times

_____________________________________________________________

Key relationships

Internal

·        Manager

·        IT Support Analyst (IT) – co-operation

·        Digital Delivery Manager

·        Data & Insights Manager (Marketing) – co-operation

·        eCRM Campaign Executive

·        Partnership Sales

·        Research & Insights

·        Ticketing and Memberships

·        CFG – FRM

External

·        Salesforce Senior Account Manager (CRM platform)

·        Gigya Account Manager (Social Media platform)

·        Exact Target Account Manager (ESP)

·        Business Intelligence Account Manager

·        SAP (CRM platform)

·        Data & Analytics Agency (Segmentation)

·        Data Providers (3rd party demographics)

_____________________________________________________________

Scope of job

·        Build ‘360 view’ customer view for analytics & reporting

·        Automate KPIs for data-driven decision making

·        Ad hoc projects and insights for MCFC (80%) and sister clubs (20%)

___________________________________________________________________

Organisation chart

 

 

Person Specification

Job Title: Data & Insights Analyst                  Department/Location: FRM/Manchester                                                                    

Knowledge: the level and breadth of knowledge to do the job e.g. understanding of a defined system, method or procedure, legal or regulatory frameworks etc

Essential

·        Commercially oriented but comfortable with IT & digital systems

·        Ability to analyse data to provide insights and recommendations

·        Can help lead change towards a customer focused culture

·        Experience of managing data and statistical analysis

·        Knowledge of propensity modelling techniques

·        Knowledge of cluster analyses and calculation of lifetime profitability scenarios

 

Desirable

Experience in sports or CRM is an added plus

 

Technical/work-based skills: skills specific to the job e.g. language competence, typing skills, coaching skills etc

Essential

·        Understanding of SQL

·        Competence with Microsoft Office, advanced Excel user

·        Ability to deliver high quality presentations or data tables

Desirable

·        Macros, VBA, Python, R, SPSS

·        Working knowledge of CRM platforms

Experience with business intelligence platforms like Tableau and SAS is a bonus

·        Experience with web/mobile analytics solutions (Google Analytics, Omniture) a plus.

 

General skills and attributes: more general characteristics e.g. flexibility, communication skills, team working etc

Essential

Extremely organised and a strong presenter of data

·        Well-developed analytical & quantitative skills and an aptitude for problem solving

Self-motivated and goal oriented individual with a task delivery mentality

Attention to detail

Disciplined hard worker and collaborative team player

Desirable

Passion for the sport of football

 

Experience: proven record of experience in a particular field, profession or specialism. Any period of work required must be appropriate and not excessive.

Essential

·        Between 1 - 3 years of experience in an analytical role

·        Will consider candidates with fewer years of professional experience, if can prove fit with technical and general skills, and track record in setting and achieving ambitious goals

 

Qualifications: the level of educational, professional and/or occupational training required

Essential

·        Bachelor’s Degree in Business, Marketing, Economics, Math or Computer Science

Desirable

·        Advanced degree (MA) preferred but not required

 

 

 

Wall of text, wasted electricity to scroll down. Looking at the requirement, most people will be hard to meet more than half of points. No wonder we had to get a pHD in Physic for pool.

https://www.linkedin.com/in/william-spearman/?originalSubdomain=uk

[Jamesc]

4 minutes ago, Cauldron said:

Wall of text, wasted electricity to scroll down. Looking at the requirement, most people will be hard to meet more than half of points. No wonder we had to get a pHD in Physic for pool.

https://www.linkedin.com/in/william-spearman/?originalSubdomain=uk

Our PhD in physics must be teaching TAA how to kick the ball to swerve pass the goalkeeper and into the goal.

It's all aerodynamics.

😁

 

[Cauldron]

10 minutes ago, Jamesc said:

Our PhD in physics must be teaching TAA how to kick the ball to swerve pass the goalkeeper and into the goal.

It's all aerodynamics.

😁

 

Spearman worked in CERN to find God's particle. Then the ONE send him to find God's club instead 

[Atrecord]

18 minutes ago, Jamesc said:

Our PhD in physics must be teaching TAA how to kick the ball to swerve pass the goalkeeper and into the goal.

It's all aerodynamics.

😁

 

Must also teach him to turn his body faster when defending leh... He excellent going forward. but basic defending not there yet... 

[Akula]

Got this off the web:

 

Why Diogo Jota is already everything Liverpool wanted him to be

By  Melissa Reddy

Twenty-three-year-old complements the club's explosive front three, while also allowing his manager to tinker shape and approach in a stacked season

Late into Saturday night, as the cold really started to take hold at Anfield after Liverpool brushed off another VAR decision they were bemused by to beat Sheffield United 2-1, Jurgen Klopp and his coaching staff shared a few minutes of appreciation for Diogo Jota.

“Phwoar, what a player!,” from Pep Lijnders was promptly followed by “and what a person” from the manager. The pair were not surprised that the Portugal international, who headed in the winner, had yet again showcased how his qualities superbly blend with Liverpool’s core attackers.

The process of finding the right offensive player to slot in with Sadio Mane, Mohamed Salah and Roberto Firmino was intensive after all. The recruitment department, powered by their leading analytics arm, worked to narrow down the most progressive candidates - strong in the dribble and in transition - at the right age, with a high ceiling, built for an aggressive, psychically demanding system and whose passes and movement would be in sync with the talent already at the club.

The target would need to have an enormous appetite to develop, while also understanding the need to be patient given the status, chemistry and contributions of Liverpool’s front three. He would need to have the right character too - with due diligence on this as extensive as the look into the data.

If that criteria was not complex enough, the financial arrangement of a transfer would need to work for Liverpool too given the impact of coronavirus on their income.

Jota, who was on the club’s one-to-watch radar for two seasons, was the answer to everything: a tireless player that had plenty of untapped potential who was positive in possession and tenacious out of it.

He needed a new challenge after a period of stasis at Wolves, who were willing to be flexible with payment terms.

So while Klopp and his assistants were not shocked that the initial outlay of £41m was spent on a very good player with the potential to become great, the ease in which the 23-year-old has slotted in during the most intense, unforgiving circumstances has been amazing.

With more recovery routines and games than training sessions to fully acclimatise to the manager’s demands, during a stanza interrupted by international duty, team-mates testing positive for Covid, Liverpool suffering injuries to key players and having the pressure of defending the title, Jota has still fitted in with no fuss.

His seven appearances - three from the start - has produced two goals as well as glimpses of all reasons the club were willing to make such a big investment in him. Jota “is quick, he has the physicality, he is strong, he is good in the air, he is good on the ground... a lot of good things,” to use Klopp’s assessment.

He also arms the German with the ability to change Liverpool’s shape and approach, which will be vital as they juggle the Champions League with the objective of retaining the title during a weird, unpredictable campaign.

This offers the chance to extract extra dimensions out of Salah and Mane in particular.

“It was not so much about getting Diogo on the pitch because he can play a lot of positions in our our usual formation,” Klopp explained on selecting all four attackers against Sheffield United in a 4-2-3-1 with Salah as the focal point.

“It was like, ‘How can we start? How can we change? How can we do all the stuff which is important in a game? How can we cause them problems?’

“Sheffield United had a big advantage obviously that they prepare a full week for our game. They can do 12 different set-pieces, to train them during the week; we have recovery sessions. So we thought with a slight change we could at least give them some problems as well, which we did actually.

“Offensively, it’s not that different. But it gives us an extra option. It brought Mo in a different position, where I have to say he played an incredible game. Mo and Sadio didn’t score but played outstanding. Sadio was in the one-on-one situations pretty much undefendable.

“Mo between the lines, sensational. Super chance. And the other two boys scored and played good as well, so that helps obviously.”

Mane had erased the influence of five defenders in the process of crossing for Jota to head in the winner at the far post on Saturday and one of the most illuminating elements of Liverpool’s positive offensive patterns - the team had been poor for a large stanza of the game following the decision to award a penalty against Fabinho - was the chemistry between the Portuguese and the front three.

In attacking and ball recovery moments, he was in tune with Mane, Salah and Firmino.

Given how taxing and lengthy the adjustment spell can ordinarily be at Anfield - see Andy Robertson, Fabinho and Alex Oxlade-Chamberlain as a start - this is not to be scoffed at especially in the current climate.

"He is still adapting,” Klopp said. “In the moment, a lot of things we do are not natural to him but that’s only because Wolves play different – but a lot of things he did for Wolves are exactly what we want him to do.

“Yes, that he is that close to 100 per cent already is just a sign how good a player he is.

“As I said, if he stays fit, he’s 23 and the future is bright, let me say it like this. We will need his quality and I am really happy that he settled nicely so far.”

Liverpool have helped transform Mane and Salah, in particular, from good attackers to world-class ones that would fetch a fee well in excess of £100m.

It will be an interesting watch to witness if Jota’s advancement follows the same sort of trajectory.

[Akula]

Liverpool have confirmed their new training facility in Kirkby will be named the AXA Training Centre, after agreeing a naming rights deal with the insurance firm.

However, no exact figures were announced