At a Glance
- Tasks: Analyse complex data sets and support global technology standards for seamless integration.
- Company: Join a forward-thinking company focused on data and digital transformation.
- Benefits: Competitive salary, professional development, and exposure to modern CRM platforms.
- Other info: Dynamic work environment with opportunities for career growth and meaningful change.
- Why this job: Make a real impact on global operations while collaborating with diverse teams.
- Qualifications: Strong data analysis skills, proficiency in SQL and Python, and experience with Salesforce.
The predicted salary is between 30150 - 36850 £ per year.
Job Description
This Data Analyst role sits within a global initiative to define technology standards and future target technologies, while establishing common processes that enable consistent scaling and adoption across multiple regions and products.
The position focuses on supporting a centralised Salesforce CRM Centre of Excellence that underpins operations across the UKI, France, Spain, Germany, South Africa, Canada, Australia and the US.
You will help drive the migration of products from legacy platforms to a new framework built on centralised APIs and integrations, ensuring that CRM, billing and other systems can integrate seamlessly and support wider data and digital transformation initiatives.
- Job Title
- Data Analyst
Responsibilities
- Analyse complex data sets across multiple regions and products to support the Global Master Operations (GMO) initiative and its technology standards.
- Work closely with stakeholders to understand and define required data definitions, ensuring they align with global data guidelines and business needs.
- Identify and engage the appropriate subject matter experts and product owners to validate and refine data requirements and definitions.
- Finalise data definitions for key concepts such as subscriptions and related attributes, ensuring consistency across products and regions.
- Format and prepare information so that it can be centralised and integrated into the GMO framework and Salesforce CRM instances.
- Support the establishment and ongoing operation of a Salesforce CRM Centre of Excellence, helping to maintain a consistent pace of delivery across all supported regions.
- Contribute to the migration of products from legacy systems to the new GMO framework, leveraging centralised APIs, integrations and org services.
- Provide data analysis and reporting that helps distinguish between fully integrated products and those with partial integrations, highlighting gaps and opportunities for improvement.
- Collaborate with technical leads, solution architects and wider transformation teams to ensure data work supports strategic data and digital transformation objectives.
- Use SQL, Python and related tools to extract, transform, analyse and present data in a clear and actionable format.
- Produce regular and ad hoc reports that support decision-making around CRM usage, subscription models and integration progress.
- Ensure data quality, consistency and integrity across Salesforce instances and other integrated systems.
- Document data models, definitions and processes clearly so they can be understood and adopted by teams across different regions.
- Support a shift from business-as-usual change requests to a model that prioritises business-critical changes with clear value, outcomes and benefits.
- Collaborate with teams responsible for acquired or legacy systems to understand existing data structures and support their transition into the GMO framework.
Essential Skills
- Strong experience in data analysis, working with complex, multi-region or multi-product data sets.
- Proficiency in SQL for querying, manipulating and analysing data within SQL Server or similar environments.
- experience using Python for data analysis, scripting and automation of data-related tasks.
- Proven ability to define, refine and finalise data definitions in collaboration with business and technical stakeholders.
- Ability to format and structure information for centralisation within a common data framework.
- Understanding of subscription-based products, including what defines a subscription and the attributes that make up a subscription in line with data guidelines.
- Awareness of CRM systems with specific exposure to Salesforce.
- Strong analytical and reporting skills, with the ability to translate complex data into clear insights and recommendations.
- Excellent communication skills, with the ability to engage and collaborate effectively with a wide range of stakeholders.
- Attention to detail and a methodical approach to ensuring data quality and consistency.
- Additional Skills & Qualifications
- experience working with Salesforce in a data or analytics capacity.
- Background in supporting global or multi-region technology and data initiatives.
- experience working with centralised APIs and integrations in a complex systems environment.
- Familiarity with subscription billing, contracts, support and customer portals from a data perspective.
- experience collaborating with technical leads, solution architects and transformation teams.
- Exposure to environments where products have been acquired over time or built on legacy technologies.
Why Work Here?
You will join a business that is investing heavily in data and digital transformation, giving you the opportunity to work on strategic, high-impact initiatives that shape global operations.
The environment values collaboration across regions and disciplines, providing exposure to modern CRM platforms and integration frameworks while supporting your professional development.
You will be part of a team that is moving beyond business-as-usual work to focus on meaningful, business-critical change, offering a rewarding and intellectually stimulating place to build your career.
Work Environment
You will work within a global technology and data environment that supports multiple Salesforce CRM instances and relies on SQL Server, Python and centralised APIs and integrations.
The role involves close collaboration with stakeholders across different regions, products and functions, often working on complex systems that have evolved through acquisitions or legacy development.
Work is typically structured around transformation projects and strategic initiatives, with an emphasis on clear outcomes and measurable benefits.
The setting is professional and technology-driven, with a focus on modern tooling, structured processes and cross-functional teamwork.
- Location
- Newcastle upon Tyne, UK
- #J-18808-Ljbffr
Data Analyst in Newcastle upon Tyne employer: Teksystems
As an Azure Solution Architect with us, you'll thrive in a dynamic work culture that prioritises innovation and collaboration. We offer competitive benefits, including professional development opportunities to enhance your skills in cloud technologies, all while working in a vibrant location that fosters creativity and teamwork. Join us to be part of a forward-thinking company that values your contributions and supports your career growth.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Newcastle upon Tyne
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Teksystems!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Teksystems.
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We think you need these skills to ace Data Analyst in Newcastle upon Tyne
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Teksystems, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Teksystems. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Teksystems
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Teksystems!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
