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Position Title: Data Analyst

Job Overview:

The Data Analyst will support data analysis and reporting efforts, handling everything from data acquisition to generating insights. This role involves working with technical teams to extract and analyse data from the company's central repository using advanced reporting tools. The Analyst will provide actionable insights and recommendations that help inform decision-making processes across the organization.

Key Responsibilities:

* Data Analysis & Reporting: Analyse organizational performance and trends, identifying significant patterns, outliers, and factors that impact outcomes.

* Insight Generation: Investigate data to reveal patterns and behaviours that can inform business decisions and improve overall performance.

* Strategic Recommendations: Provide recommendations based on analysis to assist leadership with both strategic and operational decisions.

* Reporting & Presentations: Prepare and present reports to key stakeholders, helping guide data-driven decision-making.

* Validation Studies: Conduct studies using external data sources to support the company's overall value proposition.

* Data Strategy Development: Propose and implement strategies to enhance data management, accessibility, and reporting processes.

* Technical Tools Usage: Leverage reporting tools such as MicroStrategy to generate in-depth reports and analyses from the data warehouse.

* Flexible Role: This job description outlines the general responsibilities, but additional tasks may arise as needed.

Qualifications:

* Education: Bachelor's degree in Computer Science, Information Technology, or a related field (graduate degree preferred).

* Experience: Typically requires 5+ years of experience in data analysis, with a strong background in handling large data sets and proficiency with tools such as SPSS, MS-SQL, PL/SQL, SQL, Access, or Python.

* Experience with data visualisation and reporting tools like Power BI, MicroStrategy, or Tableau is essential.

* Ability to independently manage tasks and offer support to junior team members when needed.

* Strong project management and presentation skills are crucial.

Skills & Competencies:

* Demonstrates core values such as attention to detail, initiative, and adaptability.

* Strong problem-solving abilities, with a logical approach to analysing data and providing solutions.

* Excellent communication and interpersonal skills, able to present data clearly and professionally.

* Capacity to handle confidential information, ensuring compliance with policies and regulations.

* Advanced proficiency in Microsoft Office and other related software.

* In-depth experience working with database tools and providing technical recommendations to streamline processes.

* Flexible and adaptable to changing priorities, with the ability to meet deadlines in a fast-paced environment.

Position Title: Data Analyst

Job Overview:

The Data Analyst will support data analysis and reporting efforts, handling everything from data acquisition to generating insights. This role involves working with technical teams to extract and analyse data from the company's central repository using advanced reporting tools. The Analyst will provide actionable insights and recommendations that help inform decision-making processes across the organization.

Key Responsibilities:

* Data Analysis & Reporting: Analyse organizational performance and trends, identifying significant patterns, outliers, and factors that impact outcomes.

* Insight Generation: Investigate data to reveal patterns and behaviours that can inform business decisions and improve overall performance.

* Strategic Recommendations: Provide recommendations based on analysis to assist leadership with both strategic and operational decisions.

* Reporting & Presentations: Prepare and present reports to key stakeholders, helping guide data-driven decision-making.

* Validation Studies: Conduct studies using external data sources to support the company's overall value proposition.

* Data Strategy Development: Propose and implement strategies to enhance data management, accessibility, and reporting processes.

* Technical Tools Usage: Leverage reporting tools such as MicroStrategy to generate in-depth reports and analyses from the data warehouse.

* Flexible Role: This job description outlines the general responsibilities, but additional tasks may arise as needed.

Qualifications:

* Education: Bachelor's degree in Computer Science, Information Technology, or a related field (graduate degree preferred).

* Experience: Typically requires 5+ years of experience in data analysis, with a strong background in handling large data sets and proficiency with tools such as SPSS, MS-SQL, PL/SQL, SQL, Access, or Python.

* Experience with data visualisation and reporting tools like Power BI, MicroStrategy, or Tableau is essential.

* Ability to independently manage tasks and offer support to junior team members when needed.

* Strong project management and presentation skills are crucial.

Skills & Competencies:

* Demonstrates core values such as attention to detail, initiative, and adaptability.

* Strong problem-solving abilities, with a logical approach to analysing data and providing solutions.

* Excellent communication and interpersonal skills, able to present data clearly and professionally.

* Capacity to handle confidential information, ensuring compliance with policies and regulations.

* Advanced proficiency in Microsoft Office and other related software.

* In-depth experience working with database tools and providing technical recommendations to streamline processes.

* Flexible and adaptable to changing priorities, with the ability to meet deadlines in a fast-paced environment.

We are looking for a Data Engineer with experience in Azure to join the team in Oslo!

The department is based at intersection between business and technology, where you will work alongside fellow data engineers, as well as analysts and advisors within business & data strategy

Some of your key responsibilities can include:

* Building data products & services, and integrating these into systems and business processes
* Implementing methods to improve data reliability and quality
* Working alongside analysts within the business to ensure their requirements are met
* Contributing towards a modern and innovative data environment through knowledge-sharing, mentoring junior
* colleagues, and bring ideas to discussions

Some of the technologies you will work with include: Azure Databricks, Data Factory, Logic Apps, SQL, Power BI

We are looking for you to have at least 3 years of professional experience within data engineering, you should be competent with ETL processes and tools, and have worked with Microsoft Azure

We hope you are proficient in SQL, and perhaps familiar with Python with experience building data pipelines

You should have some experience with data visualisation and Power BI, and be familiar with the requirements of data analysts and scientists

As part of a cross-functional team, we hope that you can bring a curiosity and motivation to build quality, scalable and flexible data infrastructure & processes to assist the organisation and it's customers in becoming more data driven

A strong academic background in IT/Engineering is nice to have, along with certifications, but equivalent years of experience can compensate

What's in it for you?

Among the benefits on offer, you can expect:

A flexible working environment with options to start your day earlier or finish later depending on your schedule outside of work. There is a hybrid office/home set-up with most colleagues attending the office two days per week

Enhanced pension and health insurances for your peace of mind, along with all of the equipment required for your role

There is time for you to learn new tools and technologies which interest you, as well as explore new project areas which appeal to you

As a team of 20 within business & data, you can expect freedom and ownership over your tasks along with little bureaucracy to see your ideas turn into action quickly

You will be part of a diverse team from a range of backgrounds, including senior colleagues to share responsibilities with, and more junior members to mentor

For any questions, contact Lucy on l.whiting@tenthrevolution.com

Lead Data Scientist - London - £75,000

I am working with a growing consultancy who specialise in Data, Cyber Security and communications who are looking for a Technical Consultant to join their team. Over the past two years they have steadily grown their team in line with an expanding client base.

In this role you will be positioned to help continue to drive business performance. Creative and innovate ideas are encouraged and the business are looking to hire industry experts to add value to their team.

You will be client facing and take the lead on a number of exciting data science focused projects. You will work to understand the current data infrastructure of the specific clients before offering top-class advice on how data science can be used to drive performance. You will also be responsible for building proof of concepts designs based on your advice and presenting them to clients to enable them to understand your vision for improvements.

This is an exciting time to join the business so please reach out to learn more about the team. As part of this role, you will be responsible for -

* Lead on client projects and be SME for Data Science/ML/AI
* Work with differing data sets and modelling them ready for use in data science practices
* Analyse and interpret data to help deliver insights
* Develop models and algorithms that can be integrated into client infrastructure

To be successful in this role you will have.

* Taken the lead on data science projects
* Strong Python coding experience
* Experience working on cloud-based infrastructure (Azure, AWS or GCP)
* Experience with CI/CD tooling to build and deploy code
* Due to the nature of this role, eligibility for SC clearance is essential

This is a hybrid role where you will travel to the company office or client site up to 3 times per week depending on project needs. My client is offering a starting salary of up to £75,000 depending on experience and offer a comprehensive benefits package.

This is just a brief overview of the role. For the full information, simply apply to the role with your CV, and I will call you to discuss further. My client is looking to begin the interview process ASAP, so don't miss out, APPLY now!

Tenth Revolution Group are the go-to recruiter for Power BI and Azure Data Platform roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group. We are the global leaders in Microsoft recruitment.

Data Engineering Consultant

I am working with a Microsoft Partnered consultancy who are looking for a Data Engineering to join their growing team. You will have the opportunity to work on a variety of client projects across a number of different industries such as retail, finance and the public sector.

In this role you will utilise your experience with the latest Azure technologies to ensure the timely delivery of data solutions to clients. You will work on a number of projects that will enable you to continually develop your existing skill set. You will be joining a people centred business, who invest heavily in its team and will be given the opportunity to explore other areas of technologies that may be of interest to you, including data science, machine learning and AI.

My client also support their clients with the implementation of D365, so you will have the opportunity to aid organisations in the integration and optimisation of data within a Dynamics 365 CRM environment. This is a dynamic role where you will work with a modern cloud focused tech stack and continue with your development

As part of this role, you will be responsible for some of the following areas.

* Create robust ETL solutions using Microsoft SQL Server and Azure tech stack
* The migration of client data solutions from on-premise to Azure
* Be responsible for the design and implementation of data lake solutions
* Integrate D365 CRM into client data platforms and aid with the creation of analytics solutions to gain meaningful insight from data
* Support clients throughout the project life cycle

To be successful in the role you will have.

* Experience working with the Azure tech stack including Azure Data Factory, Synapse and Azure Data Lake.
* Experience designing and implementing ETL solutions.
* Coding experience with languages such as SQL and Python.
* Exposure to D365
* Excellent communication skills

This is a home-based role, where you may be required to travel to client sites on an ad-hoc basis and travel to company social events. Some of the benefits included are listed below.

* Starting salary of up to £60,000
* 23 days annual leave allowance plus bank holidays (rising to 28 days with service)
* Company pension scheme
* Private health/medical care
* Various retail discounts and more!

This is just a brief overview of the role. For the full information, simply apply to the role with your CV, and I will call you to discuss further. My client is looking to begin the interview process ASAP, so don't miss out, APPLY now! To do so please email me at a.pinkerton@nigelfrank.com or call me on 0191 3387487.

Data Engineering Consultant

I am working with a Microsoft Partnered consultancy who are looking for a Data Engineering to join their growing team. You will have the opportunity to work on a variety of client projects across a number of different industries such as retail, finance and the public sector.

In this role you will utilise your experience with the latest Azure technologies to ensure the timely delivery of data solutions to clients. You will work on a number of projects that will enable you to continually develop your existing skill set. You will be joining a people centred business, who invest heavily in its team and will be given the opportunity to explore other areas of technologies that may be of interest to you, including data science, machine learning and AI.

My client also support their clients with the implementation of D365, so you will have the opportunity to aid organisations in the integration and optimisation of data within a Dynamics 365 CRM environment. This is a dynamic role where you will work with a modern cloud focused tech stack and continue with your development

As part of this role, you will be responsible for some of the following areas.

* Create robust ETL solutions using Microsoft SQL Server and Azure tech stack
* The migration of client data solutions from on-premise to Azure
* Be responsible for the design and implementation of data lake solutions
* Integrate D365 CRM into client data platforms and aid with the creation of analytics solutions to gain meaningful insight from data
* Support clients throughout the project life cycle

To be successful in the role you will have.

* Experience working with the Azure tech stack including Azure Data Factory, Synapse and Azure Data Lake.
* Experience designing and implementing ETL solutions.
* Coding experience with languages such as SQL and Python.
* Exposure to D365
* Excellent communication skills

This is a home-based role, where you may be required to travel to client sites on an ad-hoc basis and travel to company social events. Some of the benefits included are listed below.

* Starting salary of up to £60,000
* 23 days annual leave allowance plus bank holidays (rising to 28 days with service)
* Company pension scheme
* Private health/medical care
* Various retail discounts and more!

This is just a brief overview of the role. For the full information, simply apply to the role with your CV, and I will call you to discuss further. My client is looking to begin the interview process ASAP, so don't miss out, APPLY now! To do so please email me at a.pinkerton@nigelfrank.com or call me on 0191 3387487.

Data Engineer

Location: Stockholm
Employment Type: Permanent
Work Arrangement: Hybrid (1-2 days in office per week)
Language Requirement: English speakers considered, but preference for fluent Swedish

About the Company

Our company is a leading player in its industry, supporting businesses and professionals with data-driven solutions. We serve a vast network of clients, ensuring seamless operations and growth opportunities. With a strong presence in Sweden, we operate multiple locations and work with numerous partners.

This is a fantastic opportunity to be part of a newly formed team working on exciting data-driven projects across various business units, including finance, marketing, sales, and advanced analytics. The role offers significant responsibility and room for growth within a well-funded and expanding data team.

Key Responsibilities

*

Design, develop, maintain, and troubleshoot ETL/ELT pipelines using Python and SQL.
*

Consolidate data from different companies within the group.
*

Improve data quality and standardization through optimized SQL transformations.
*

Integrate with various data sources from subsidiaries.
*

Collaborate with data experts to gain a deep understanding of available data.
*

Participate in code reviews to uphold high coding standards within the team.
*

Work closely with ML Engineers, Data Engineers, and business users.
*

Optional travel to other offices if desired.

Technical Environment

We have recently built a new data platform utilizing:

*

DBT in Snowflake with Airflow on Kubernetes.
*

DevOps tools such as Terraform on Azure.
*

Python-based integration with APIs and databases.

Required Skills & Experience

*

Bachelor's degree in Computer Science, Engineering, or a related field.
*

At least 1 year of experience in Data or Software Engineering.
*

Strong SQL skills and experience with data validation and quality checks.
*

Familiarity with cloud platforms (preferably Azure).
*

Experience with configuration management tools.
*

Ability to communicate technical details with business users.

Preferred Skills

*

MLOps experience.
*

DevOps experience.
*

Familiarity with monitoring and logging tools such as Grafana or Kibana.
*

Swedish language skills (preferred but not required).

Why Join Us?

*

Be part of a small but impactful team working on a global initiative to build a data platform supporting all business units within the group.
*

Work on a high-priority, well-funded data project tied to a major enterprise-wide initiative.
*

Opportunity to collaborate closely with the Advanced Analytics team, gaining exposure to Data Science and Machine Learning.
*

The Data team is receiving significant investment, making this an excellent time to join and contribute to a growing function.
*

Competitive salary and top-tier benefits.



Interested? Apply now and be part of a team driving data innovation!

Data Engineering Consultant

I am working with a Microsoft Partnered consultancy who are looking for a Data Engineering to join their growing team. You will have the opportunity to work on a variety of client projects across a number of different industries such as retail, finance and the public sector.

In this role you will utilise your experience with the latest Azure technologies to ensure the timely delivery of data solutions to clients. You will work on a number of projects that will enable you to continually develop your existing skill set. You will be joining a people centred business, who invest heavily in its team and will be given the opportunity to explore other areas of technologies that may be of interest to you, including data science, machine learning and AI.

My client also support their clients with the implementation of D365, so you will have the opportunity to aid organisations in the integration and optimisation of data within a Dynamics 365 CRM environment. This is a dynamic role where you will work with a modern cloud focused tech stack and continue with your development

As part of this role, you will be responsible for some of the following areas.

* Create robust ETL solutions using Microsoft SQL Server and Azure tech stack
* The migration of client data solutions from on-premise to Azure
* Be responsible for the design and implementation of data lake solutions
* Integrate D365 CRM into client data platforms and aid with the creation of analytics solutions to gain meaningful insight from data
* Support clients throughout the project life cycle

To be successful in the role you will have.

* Experience working with the Azure tech stack including Azure Data Factory, Synapse and Azure Data Lake.
* Experience designing and implementing ETL solutions.
* Coding experience with languages such as SQL and Python.
* Exposure to D365
* Excellent communication skills

This is a home-based role, where you may be required to travel to client sites on an ad-hoc basis and travel to company social events. Some of the benefits included are listed below.

* Starting salary of up to £60,000
* 23 days annual leave allowance plus bank holidays (rising to 28 days with service)
* Company pension scheme
* Private health/medical care
* Various retail discounts and more!

This is just a brief overview of the role. For the full information, simply apply to the role with your CV, and I will call you to discuss further. My client is looking to begin the interview process ASAP, so don't miss out, APPLY now! To do so please email me at a.pinkerton@nigelfrank.com or call me on 0191 3387487.