Data Analyst

Company:  CV-Library
Location: CAMBRIDGE
Closing Date: 04/11/2024
Hours: Part Time
Type: Permanent
Job Requirements / Description
Job Overview: Arm designs the technology that lies at the heart of advanced digital products from mobile, home and enterprise solutions to embedded and emerging applications. Operational management is central to delivering this technology within each of Arm’s business groups. The Engineering Efficiency team within Arm Operations sits across the Arm business to ensure successful delivery of projects. We are responsible for evolving a strong governance framework, a robust project delivery process, training and development to evolve our people, the tools to enable successful projects and the data and reporting to understand delivery status and to support decision-making. About You You will be an enthusiastic and trusted business intelligence professional with good interpersonal, communication and organisational skills. You will enjoy both working independently and multi-functionally to design and present information that adds real value to business. The team provides business reports through a combination of business intelligence tools and various data sources. We are growing our report portfolio to introduce new visualisations and metrics to meet evolving business requirements. Our expanded portfolio will enable internal customers to view multiple data types alongside each other, to build a more comprehensive and valuable view of their business operations. Responsibilities Build data queries that provide actionable, concise, and presentable data-driven insights Maintain existing reports/dashboards and data interfaces Ensure accuracy of required Performance Indicators in the Engineering Ops Divisions and all it’s departments. Continuously improve the accuracy and efficiency of data provided to Engineering Ops and Quality teams Work with leaders to provide timely, accurate and relevant data Explain trends from data sources and find opportunities for improvements in the assigned Engineering Ops Division Required Skills and Experience: To be successful in this role, there needs to be a real passion for business intelligence and how it can positively contribute to the business environment, as well as demonstrating the following capabilities: A track record of using quantitative and qualitative analysis to generate insights, thus driving better organisational decision making. Clear and concise communication, able to convey complex business logic, and analytical recommendations Excellent analytical skills: Quickly understand and articulate the business drivers, options, and benefits for a wide variety of business analytics. Experience with Data Visualisation tools including MS Power BI and Tableau Share our core values and work in accordance with those values. Nice To Have” Skills and Experience: SQL knowledge and/or Database testing experience General understanding of data warehouses and ingestion methodologies (e.g. Snowflake, ETL, ELT) Developer platform/tool industry experience In Return: The team you will be joining is on a data evolution journey from older technologies and designs to data lake architecture. This comes with opportunities to learn new skills and be a part of a change that is going to be revolutionary to Arm’s engineering delivery data and analytics. The skills within the team will be from data engineering to machine learning, we have the space to bring new ideas and solutions to really make a difference to our business. #LI-SM1   Accommodations at Arm At Arm, we want our people to Do Great Things. If you need support or an accommodation to Be Your Brilliant Self during the recruitment process, please email . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Hybrid Working at Arm Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Equal Opportunities at Arm Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran
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