Data Analyst in Swindon

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Objective of the Function/ role

The Data Analyst will work collaboratively with business stakeholders, subject matter experts (SMEs), engineering, and product teams to address data-related challenges and deliver tangible business value. Key responsibilities include:

• Engaging with stakeholders, clients, and internal departments to gather and articulate business requirements from a data perspective.
• Creating timely and insightful dashboards and reports to visualize data effectively.
• Conducting exploratory data analyses to uncover trends, patterns, and actionable insights.
• Participating in data quality assurance processes to uphold data accuracy and integrity.
• Staying informed about industry trends and best practices in data analysis and visualization.

Accountable to Senior Product Manager

Experience & Knowledge

• A qualification in Data Science, Statistics, Mathematics, Computer Science, or a related field is highly advantageous.
• A strong understanding of data analysis concepts and methodologies.
• A minimum of 2 years of experience using Microsoft Power BI.
• Familiarity with Amazon Quick Sight is a plus.
• At least 2 years of experience in SQL development.

Key Working relationships

• Muti-disciplined Product domain teams
• Stakeholders
• Internal and external end-users
• Third-party partners

Key Result Areas

• Deliver analyses and reports that meet the broader business needs, facilitating new product features and showcasing value delivered.
• Ensure that deliverables are operationally supportable, secure, and scalable.
• Drive continuous improvement initiatives across product domains to resolve business data challenges.

Key Tasks

• Serve as the primary point of contact for data analysis within the product team.
• Collaborate with cross-functional product domain teams to:

• Capture and document data analysis requirements.
• Create, manage, and deliver business intelligence reporting and dashboarding solutions using Microsoft Power BI.
• Develop an in-depth understanding of Paytech's data by conducting comprehensive analyses, validating or challenging existing assumptions, and generating new insights.
• Support colleagues in achieving company objectives while fostering a positive collaborative environment.
• Ensure that deliverables are operationally viable, secure, and scalable.
• Drive ongoing enhancements within product domains and effectively address data-related challenges.

Core skills & behaviours

• Analytical mindset with the capacity to evaluate business cases and deliver impactful insights and recommendations.
• Proficiency in Microsoft Power BI is essential; familiarity with other data visualization tools such as Amazon Quick Sight is beneficial.
• Strong SQL knowledge.
• Ability to manage multiple requests and parallel workstreams efficiently.
• Eagerness to learn and develop skills in data analysis.
• Excellent organizational skills with the ability to prioritize tasks effectively.
• Capable of working independently while adhering to set objectives and exercising autonomy.
• Highly organized, with experience in an agile working environment.
• Strong attention to detail, with the ability to convey information concisely.
• Proactive problem-solving approach and a willingness to take the initiative.
• Comfortable serving as a liaison between technical and business teams.
• Awareness of data protection and consumer regulations.
• Experience in card/banking payments is advantageous.

Additional Information

• Paytech currently operates a hybrid working model between home and office working.
• The role may occasionally require travel between offices in the UK, Europe (potentially 1-3 days), International travel may exceptionally be required, (3-5 days in duration).

What you will get:

• 25 days annual leave plus Bank Holidays
• Hybrid working environment (min. 3 days per week in the office)
• Pension Scheme – employer 6% with minimum employee contribution 3%
• Medical & international travel cover (leisure and action sports)
• Income protection
• Life insurance (4x salary)
• Wellbeing Employee Assistance Program (extended access to family members)
• Holiday trading scheme
• Season ticket loan
• Cycle to Work scheme
• Employee discount shopping platform
• Employee referral bonus scheme
• Digital learning platform
• Complimentary fruit and other ‘in office’ snacks & refreshments
• Volunteering programme
• Social events

We are a subsidiary of the Edenred group and leaders in prepaid solutions including banking, virtual cards, debit, credit, and prepaid processing. As an Edenred PayTech employee you will get the support and structure that you need to enjoy your work and develop your career while doing what you love and making a difference in a fast-paced and innovative business.

Diversity: Edenred UK and PayTech are proud to be an equal opportunity employer. We will not discriminate against any applicant or employee based on age, race, colour, creed, religion, sex, sexual orientation, gender, gender identity or expression, national origin, citizenship, marital status or civil partnership/union status, disability, pregnancy, genetic information, or any other basis prohibited by applicable country or local laws.