73 Digital And Library Assistant jobs in the United Kingdom

Director of Data Architecture

Location: London (Hybrid Working)

Job Type: Permanent

Salary: Up to £140,000 + Bonus

We have an exciting opportunity for a Director of Data Architecture to join a leading consultancy and play a pivotal role as the number two leader within their growing Data Practice. This is a high-impact leadership role requiring a blend of strategic pre-sales expertise, client engagement, and team leadership to drive large-scale data transformation programmes across multiple industries.

As a Director of Data Architecture , you’ll lead end-to-end bid and pre-sales efforts, shaping enterprise-level data solutions, building consensus between sales and delivery teams, and ensuring financial alignment. You’ll act as a trusted advisor to clients, presenting at senior levels, while also driving internal practice development, mentoring senior data architects, and managing other Directors within the practice.

Key Skills & Expertise:

• Proven experience as a Data Architecture Leader or Director
• Extensive expertise in bids and pre-sales, including end-to-end solution design, pricing, and delivery alignment
• Ability to bridge the gap between sales and delivery, balancing cost, risk, and solution integrity
• Strong experience presenting to C-level stakeholders and leading complex client engagements
• Demonstrated success in practice development, coaching and managing senior architects and cross-functional teams
• Strong consulting background within large-scale data transformation programmes
• Previous experience within top-tier consulting firms, systems integrators, or data-driven organisations highly desirable

You’ll Enjoy:

• 20% annual bonus
• £5,000 car allowance
• High-level exposure across enterprise-scale client programmes
• Opportunity to influence and shape a growing, high-performing data practice
• Hybrid working, with a London base required for regular client and leadership engagements

If you’re an experienced Director of Data Architecture with strong pre-sales expertise, client leadership skills, and practice development experience, this is your opportunity to join a fast-growing consultancy at the forefront of data-driven transformation.

To apply, contact Declan Bryson at Anson McCade on or email , quoting reference AMC/DB/DDA/09 .

Bombardier's Business Aircraft London Service Centre in Biggin Hill is part of an award-winning network and is the flagship of Bombardier's European operation. This Base and Line Maintenance Centre is the fastest-growing Service Centre in Europe and the largest Business Aircraft OEM in the UK. The facility has the capabilities to perform an array of maintenance checks, modifications and upgrades all from this site. Only 14 miles from London, Bombardier's Biggin Hill Service Centre is ideally located to support operators in the UK region and beyond.
**What are your contributions to the team?**
- Collect, clean, and validate maintenance scheduling data from various sources.
- Maintain and update aircraft maintenance schedules in internal systems.
- Track aircraft maintenance milestones and flag potential scheduling conflicts or delays.
- Support the integration of data from maintenance management systems into scheduling tools.
- Maintain accurate records of aircraft downtime, hangar occupancy, and technician availability.
- Participate in daily scheduling meetings and document action items related to data updates.
- Assist in creating dashboards and reports to monitor progress, resource utilization, and turnaround times.
- Contribute to the development and testing of automated tools or scripts to streamline data entry and reporting.
- Prepare compliance reports and audit documentation related to maintenance scheduling.
- Monitor and report on key performance indicators (KPIs) such as turnaround time, schedule adherence, and resource utilization.
- Collaborate with IT or data teams to troubleshoot data access or integrity issues.
- Archive and retrieve historical maintenance and scheduling data for analysis and forecasting.
- Ensure data privacy and security protocols are followed in line with company and regulatory standards.
- Help document data management processes and suggest improvements for efficiency and accuracy
**How to thrive in this role?**
- Able to work on site from Monday - Friday (40 hours per week)
- Strong proficiency in Excel; familiarity with Power BI is a plus.
- Excellent attention to detail and organizational skills.
- Strong analytical and problem-solving abilities.
- Good communication skills and ability to work in a team-oriented environment.
- Interest in aviation or aircraft maintenance is desirable but not essential.
Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age immigration status, disability or other applicable legally protected Characteristics to apply.
Whether your candidacy is moving on to the next step of the hiring process or not, we will keep you informed by email or by phone.
Join us at ideas move people.
**Job** Data Management Intern
**Primary Location** Biggin Hill Service Center
**Organization** Bombardier Services (UK)
**Employee Status**
**Requisition** 8624 Data Management Intern

Senior Data Management Professional - Data Science - Data Management Lab





Location





London





Business Area





Data





Ref #










**Description & Requirements**



Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal -- the data which ultimately moves the financial markets! Weu2019re responsible for delivering this data, news, and analytics through innovative technology -- quickly and accurately.



The Data Management Lab (DML) sits within the Data organization, supporting Datau2019s pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products u201cready-to-useu201d by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.



As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices.



**As a valued member of our team, weu2019ll trust you to:**


Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency
Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis
Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies
Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation
Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions
Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation



**Youu2019ll need to have a strong combination of the following:**



_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._


A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field
3+ years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis
Strong coding skills ideally in Python and experience with SQL for data querying
Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab)
Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome)
Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
Knowledge of financial markets and Bloomberg products is a plus



**Does this sound like you?**



Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

Senior Data Management Professional - Data Science - Data Management Lab





Location





London





Business Area





Data





Ref #










**Description & Requirements**



Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal -- the data which ultimately moves the financial markets! Weu2019re responsible for delivering this data, news, and analytics through innovative technology -- quickly and accurately.



The Data Management Lab (DML) sits within the Data organization, supporting Datau2019s pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products u201cready-to-useu201d by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.



As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices.



**As a valued member of our team, weu2019ll trust you to:**


Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency
Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis
Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies
Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation
Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions
Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation



**Youu2019ll need to have a strong combination of the following:**



_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._


A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field
3+ years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis
Strong coding skills ideally in Python and experience with SQL for data querying
Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab)
Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome)
Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
Knowledge of financial markets and Bloomberg products is a plus



**Does this sound like you?**



Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

Senior Data Management Professional - Data Science - Data Management Lab
Location
London
Business Area
Data
Ref #

**Description & Requirements**
Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal -- the data which ultimately moves the financial markets! We're responsible for delivering this data, news, and analytics through innovative technology -- quickly and accurately.
The Data Management Lab (DML) sits within the Data organization, supporting Data's pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products "ready-to-use" by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.
As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices.
**As a valued member of our team, we'll trust you to:**
+ Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency
+ Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis
+ Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies
+ Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation
+ Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions
+ Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation
**You'll need to have a strong combination of the following:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
+ A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field
+ 3+ years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis
+ Strong coding skills ideally in Python and experience with SQL for data querying
+ Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab)
+ Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome)
+ Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
+ Knowledge of financial markets and Bloomberg products is a plus
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

**Do you want your voice heard and your actions to count?**



Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the worldu2019s leading financial groups. Across the globe, weu2019re 120,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.



With a vision to be the worldu2019s most trusted financial group, itu2019s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.



Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.



**Overview of Resource Management Team:**



The goal of the team is to provide a u201cone stop solutionu201d for the supply and demand of people across Technology. Ensuring all resource management processes are robust, and deliver the necessary outcomes for Technology. We achieve this by ensuring that resource data is accurate, complete and available on a timely basis through various reporting deliverables. The team work closely with HR, Finance, Project Governance, Project Delivery, Procurement and Technology leads to inform and educate, as well as executing changes directly. The team is divided into two main functions, the role in question fits within the Technology Resource Data Management sub-team.



**Resource Data Management** u200b


Manage cleaning resource data in workday. u200b
Run training via the new starter induction and creation of org charts on Kizuna. u200b


Creation of headcount reporting data monthly / quarterly / annually.u200b



**Technology Recruitment** u200b


Process all recruitment requests for BAU and Project. Monitoring budget against hiring / replacing / extending staff. u200b
Creation of recruitment and rate reporting.u200b



u200b



**The primary purpose of the Resource Data Management Analyst is to:**


Own and clean the resource data in workday which is the golden source. The team receives updates on resource data from multiple sources for example line managers and business supports. From that point onwards the teams is to educate others to follow the process, rather than our team completing the actions.
Own, produce and publish the headcount data per month, per quarter and annual with the use of excel and power BI.



**Key Responsibilities:**


Lead daily team stand up via teams.
Run daily checks on resource data changes/updates in workday. Method for this is a combination of excel macros and power queries
Creation of weekly reporting to HR to highlight changes. Method for this is excel macros.
Creation of weekly reporting to line managers to highlight contingent worker end dates within the next 10 weeks. Method for this is excel macros.
Co-ordinating with the line managers, HR, procurement and access management regarding JML process.
Creation of monthly headcount reporting. Method for this is a combination of excel and power BI.
Ensure resource cost data is accurate for reporting into Finance to calculate budgets.
Creation of office attendance for contingent workers. Method for this is excel macros.
Run the Technology new starter induction, which occurs twice a month.
Creation of the Technology organisation chart. Method for this is via Visio.
Maintain and enhance good working relationships with the teams stakeholders.



**Skills and Experience:**



Technical Capability


Strong excel skills. Be able to build and run macros and power queries.
Strong power BI skills. Be able to build and update reporting in power BI.
Strong visio skills. Be able to create workflows and org charts.
Strong numerical skills. To aid day-to-day activities.
Degree level educated. Although equivalent work experience, or apprentice level experience also relevant.



We are open to considering flexible working requests in line with organisational requirements.



MUFG is committed to embracing diversity and building an inclusive culture where all employees are valued, respected and their opinions count. We support the principles of equality, diversity and inclusion in recruitment and employment, and oppose all forms of discrimination on the grounds of age, sex, gender, sexual orientation, disability, pregnancy and maternity, race, gender reassignment, religion or belief and marriage or civil partnership.



We make our recruitment decisions in a non-discriminatory manner in accordance with our commitment to identifying the right skills for the right role and our obligations under the law.



At MUFG, our colleagues are our greatest assets. Our Culture Principles provide a roadmap for how each of our colleagues must think and act to become more client-obsessed, inclusive and innovative. They reflect who we are, who we want to be and what we expect from one another. We are excited to see you take the next step in exploring a career with us and encourage you to spend more time reviewing them!



**Our Culture Principles**


Client Centric
People Focused
Listen Up. Speak Up.
Innovate & Simplify
Own & Execute

**Do you want your voice heard and your actions to count?**



Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the worldu2019s leading financial groups. Across the globe, weu2019re 120,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.



With a vision to be the worldu2019s most trusted financial group, itu2019s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.



Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.



**Overview of Resource Management Team:**



The goal of the team is to provide a u201cone stop solutionu201d for the supply and demand of people across Technology. Ensuring all resource management processes are robust, and deliver the necessary outcomes for Technology. We achieve this by ensuring that resource data is accurate, complete and available on a timely basis through various reporting deliverables. The team work closely with HR, Finance, Project Governance, Project Delivery, Procurement and Technology leads to inform and educate, as well as executing changes directly. The team is divided into two main functions, the role in question fits within the Technology Resource Data Management sub-team.



**Resource Data Management** u200b


Manage cleaning resource data in workday. u200b
Run training via the new starter induction and creation of org charts on Kizuna. u200b


Creation of headcount reporting data monthly / quarterly / annually.u200b



**Technology Recruitment** u200b


Process all recruitment requests for BAU and Project. Monitoring budget against hiring / replacing / extending staff. u200b
Creation of recruitment and rate reporting.u200b



u200b



**The primary purpose of the Resource Data Management Analyst is to:**


Own and clean the resource data in workday which is the golden source. The team receives updates on resource data from multiple sources for example line managers and business supports. From that point onwards the teams is to educate others to follow the process, rather than our team completing the actions.
Own, produce and publish the headcount data per month, per quarter and annual with the use of excel and power BI.



**Key Responsibilities:**


Lead daily team stand up via teams.
Run daily checks on resource data changes/updates in workday. Method for this is a combination of excel macros and power queries
Creation of weekly reporting to HR to highlight changes. Method for this is excel macros.
Creation of weekly reporting to line managers to highlight contingent worker end dates within the next 10 weeks. Method for this is excel macros.
Co-ordinating with the line managers, HR, procurement and access management regarding JML process.
Creation of monthly headcount reporting. Method for this is a combination of excel and power BI.
Ensure resource cost data is accurate for reporting into Finance to calculate budgets.
Creation of office attendance for contingent workers. Method for this is excel macros.
Run the Technology new starter induction, which occurs twice a month.
Creation of the Technology organisation chart. Method for this is via Visio.
Maintain and enhance good working relationships with the teams stakeholders.



**Skills and Experience:**



Technical Capability


Strong excel skills. Be able to build and run macros and power queries.
Strong power BI skills. Be able to build and update reporting in power BI.
Strong visio skills. Be able to create workflows and org charts.
Strong numerical skills. To aid day-to-day activities.
Degree level educated. Although equivalent work experience, or apprentice level experience also relevant.



We are open to considering flexible working requests in line with organisational requirements.



MUFG is committed to embracing diversity and building an inclusive culture where all employees are valued, respected and their opinions count. We support the principles of equality, diversity and inclusion in recruitment and employment, and oppose all forms of discrimination on the grounds of age, sex, gender, sexual orientation, disability, pregnancy and maternity, race, gender reassignment, religion or belief and marriage or civil partnership.



We make our recruitment decisions in a non-discriminatory manner in accordance with our commitment to identifying the right skills for the right role and our obligations under the law.



At MUFG, our colleagues are our greatest assets. Our Culture Principles provide a roadmap for how each of our colleagues must think and act to become more client-obsessed, inclusive and innovative. They reflect who we are, who we want to be and what we expect from one another. We are excited to see you take the next step in exploring a career with us and encourage you to spend more time reviewing them!



**Our Culture Principles**


Client Centric
People Focused
Listen Up. Speak Up.
Innovate & Simplify
Own & Execute

**Do you want your voice heard and your actions to count?**
Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world's leading financial groups. Across the globe, we're 120,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.
With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.
Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.
**Overview of Resource Management Team:**
The goal of the team is to provide a "one stop solution" for the supply and demand of people across Technology. Ensuring all resource management processes are robust, and deliver the necessary outcomes for Technology. We achieve this by ensuring that resource data is accurate, complete and available on a timely basis through various reporting deliverables. The team work closely with HR, Finance, Project Governance, Project Delivery, Procurement and Technology leads to inform and educate, as well as executing changes directly. The team is divided into two main functions, the role in question fits within the Technology Resource Data Management sub-team.
**Resource Data Management**
+ Manage cleaning resource data in workday.
+ Run training via the new starter induction and creation of org charts on Kizuna.
+ Creation of headcount reporting data monthly / quarterly / annually.
**Technology Recruitment**
+ Process all recruitment requests for BAU and Project. Monitoring budget against hiring / replacing / extending staff.
+ Creation of recruitment and rate reporting.

**The primary purpose of the Resource Data Management Analyst is to:**
+ Own and clean the resource data in workday which is the golden source. The team receives updates on resource data from multiple sources for example line managers and business supports. From that point onwards the teams is to educate others to follow the process, rather than our team completing the actions.
+ Own, produce and publish the headcount data per month, per quarter and annual with the use of excel and power BI.
**Key Responsibilities:**
+ Lead daily team stand up via teams.
+ Run daily checks on resource data changes/updates in workday. Method for this is a combination of excel macros and power queries
+ Creation of weekly reporting to HR to highlight changes. Method for this is excel macros.
+ Creation of weekly reporting to line managers to highlight contingent worker end dates within the next 10 weeks. Method for this is excel macros.
+ Co-ordinating with the line managers, HR, procurement and access management regarding JML process.
+ Creation of monthly headcount reporting. Method for this is a combination of excel and power BI.
+ Ensure resource cost data is accurate for reporting into Finance to calculate budgets.
+ Creation of office attendance for contingent workers. Method for this is excel macros.
+ Run the Technology new starter induction, which occurs twice a month.
+ Creation of the Technology organisation chart. Method for this is via Visio.
+ Maintain and enhance good working relationships with the teams stakeholders.
**Skills and Experience:**
Technical Capability
+ Strong excel skills. Be able to build and run macros and power queries.
+ Strong power BI skills. Be able to build and update reporting in power BI.
+ Strong visio skills. Be able to create workflows and org charts.
+ Strong numerical skills. To aid day-to-day activities.
+ Degree level educated. Although equivalent work experience, or apprentice level experience also relevant.
We are open to considering flexible working requests in line with organisational requirements.
MUFG is committed to embracing diversity and building an inclusive culture where all employees are valued, respected and their opinions count. We support the principles of equality, diversity and inclusion in recruitment and employment, and oppose all forms of discrimination on the grounds of age, sex, gender, sexual orientation, disability, pregnancy and maternity, race, gender reassignment, religion or belief and marriage or civil partnership.
We make our recruitment decisions in a non-discriminatory manner in accordance with our commitment to identifying the right skills for the right role and our obligations under the law.
At MUFG, our colleagues are our greatest assets. Our Culture Principles provide a roadmap for how each of our colleagues must think and act to become more client-obsessed, inclusive and innovative. They reflect who we are, who we want to be and what we expect from one another. We are excited to see you take the next step in exploring a career with us and encourage you to spend more time reviewing them!
**Our Culture Principles**
+ Client Centric
+ People Focused
+ Listen Up. Speak Up.
+ Innovate & Simplify
+ Own & Execute