Senior Data Analyst
London, United Kingdom
Applications have closed
Humanity
Jobs for Humanity paves the way to a fairer future for all by connecting historically underrepresented talent to welcoming employers.Company Description
Jobs for Humanity is dedicated to building an inclusive and just employment ecosystem. Therefore, we have dedicated this job posting to individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Ethnic Minority, and the Previously Incarcerated. If you identify with any of the following communities do not hesitate to register, even if you feel that this particular opportunity is not the right fit for you.Company Name: FIS Global
Job Description
Position Type :
Full timeType Of Hire :
Experienced (relevant combo of work and education)Education Desired :
Bachelor of Computer ScienceTravel Percentage :
1 - 5%Senior Data Analyst – Data Analytics & Strategic Insights
London
Are you curious, motivated, and forward-thinking? At FIS you’ll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate and above all fun.
About the team
You will be working as a key member of the Data Analytics & Strategic Insights team responsible for Worldpay’s Global reporting function. As part of the wider Revenue Assurance group you will be a fundamental component of driving the change in FIS’s Global Merchant solutions offering through the delivery of insights.
The payments industry is going through a period of rapid change and growth. This opportunity would put you at the centre of this with some of the leading cloud-based technologies.
The role is London based although the overall analytics team is global with teams in the US.
What you will be doing
As a Senior Data Analyst you will be working alongside a diverse team of people working towards the same goal, delivering a single source of truth that the business can utilise in order to make informed decisions about the future of the company. Interpreting data to discover patterns and identify trends, you will create timely, relevant and actionable insights that will be highly impactful. You will be responsible for creating and managing highly intricate data models and data-mining large, complex data sets for opportunities across our portfolio.
You will help us not just deliver data outputs but shape our new cloud-based data warehouse with the next generation of reporting and querying capabilities. All while understanding the long-term goal of self-service based data delivery that our wide stakeholder audience interacts with.
Key responsibilities:
- Utilizes a hypothesis-driven problem-solving approach to design, construct, and rapidly test/iterate exploratory data-mining analyses to reveal insight across the Worldpay portfolio.
- Interprets and communicates insights to finance, operations, product, service and business management.
- Works with business leaders to identify and develop metrics and visualizations that will track performance and highlight potential inefficiencies.
- Develops in-depth understanding of underlying data, data structures, and business uses of data.
- Partners with a variety of business teams to gather, document and maintain business requirements that will inform data modelling decisions.
- Compiles data from various sources into a single, consumable, data set, including design and implementation of data models.
- Identifies and implements data-driven process optimization Ability to work in a fast-paced and dynamic environment
What you bring:
- Bachelor's degree in Engineering, Math, Data Analytics, Computer Science, Information Systems, Business or similar
- 5+ years related experience
- Experience in data mining and root cause analysis
- Experience in Querying, extracting and transforming large data sets
- Experience with relational databases, OLAP Cubes and data warehousing (Oracle, DB2, SQL Server, Hadoop, AWS, Snowflake)
- Requires strong analytical acumen with the ability to uncover insights and create stories by seamlessly integrating a variety of data sources
- Ability to work with large, complex data sets across multiple platforms and design efficient processes to provide accurate and timely information
- Able to interpret data, advise and solve problems
- Proficiency with sophisticated analytics tools and programming languages (e.g., R, SQL) and visualization tools (Tableau) required
- Passionate about data and relish the opportunity to drive insight, analysis, and that will inform data modelling decisions.
- An agile and solution-based team player
- Ability to work in a fast-paced and dynamic environment
What we offer you
- A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities
- A modern, international work environment and a dedicated and motivated team
- The chance to work on some of the most challenging, relevant issues in financial services & technology
- A broad range of professional education and personal development opportunities
- Varied and challenging work to help you grow your technical skillset
Privacy Statement
FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.
Sourcing Model
Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.
#pridepass
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Computer Science Data Analytics Data Mining Data warehouse Data Warehousing DB2 Engineering Finance Hadoop Mathematics OLAP Oracle Privacy R RDBMS Security Snowflake SQL Tableau
Perks/benefits: Career development Startup environment
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