Senior Data Analyst

at  Wickes

We are recruiting a Senior Data Analyst to join our wider Finance team here at Wickes. The purpose of this role is to gain an understanding of the data and fields from source platforms that feed into the data lake and how this data can support the wider business with their data needs. There will also be a focus to support the wider business with data requirements and training.

Key Responsibilities:

• Supporting the business with deep dive detailed analysis relevant to their business area allowing them to make insightful decisions.
• Support business needs with relevant training, support and MI Data. Create user manuals / documents to support non tech colleagues.
• Support the development of the Data Lake, collaborating with relevant stakeholders and Data Analysts to ensure that business needs are met. Apply your analytical knowledge to business problems recommending and implementing the analytical approach.
• Strong data reporting knowledge, with an ability to understand reporting for varied audiences.
• To own the Data tables management, supporting the creation of or creating the tables required by the business to build meaningful MI reporting as well as managing the business rules and logic in the data lake.
• Create and amend company reporting and support the ‘spokes’ of super users around the business to ensure they are able to provide insightful reporting.
• Experience of database administration in a multi-user environment.
• Deliver data quality assurance, ensure data accuracy and confidentiality are present throughout data processes and systems.
• Ensure robust procedures and processes are in place to ensure team best practice and high-quality outputs.

What are we looking for:

• Relevant professional or industry training including advanced SQL & Data Analysis
• 5+yrs BI / data experience
• Expert with BI Tools
• Strong documentation skills and ability to translate IT into layman’s terms
• Functional and technical understanding and competence in the Google reporting and data warehouse architecture.
• Knowledge of SQL databases and building basic and complex queries.
• Confident communicator capable of owning projects E2E with strong acumen for business analysis and user engagement
• Confident in training other non finance users
• Good team working and collaboration skills
• Understanding of data integrity, data quality issues, and end-to-end data flows
• experience using cloud data warehouse technologies and are confident working with large datasets (e.g. BigQuery)
• Experience in the management, capture, definition, development, agreement, delivery, and documentation of user information requirements within a maintainable and supportable information environment.
• Highly articulate, personable and engaging
• Excellent communication skills able to explain complex data in simple terms
• Well organised, flexible and responsive to competing priorities
• Energetic, proactive, dynamic, leading by example
• Proven ability to prioritise, meet deadlines and follow through to completion on projects, change requests and tasks

What can we offer you?
You’ll be supported with fantastic learning and development and have the opportunity to grow and develop your career with us.

We’ll also equip you with a benefits package that includes

• Competitive bonus
• Save-as-you-earn scheme
• Private Medical Healthcare
• Contributory pension scheme
• Colleague discount
• Discount platform including savings and cash back at numerous retailers, savings on gym membership, cycle to work scheme

Our widely recognised wellbeing strategy is something we’re proud of at Wickes. As part of this, we offer a range of health and wellbeing benefits and support, including an Employee Assistance Programme, financial education & loans, and access to parental, menopause and fertility support.
By giving you the support you need to do well at work, and the flexibility to make life work for you. We are giving you a career that doesn’t put your life on hold. Where you can be yourself, do your best work, and make a positive difference every day.
We recognise the value of bringing our teams together to collaborate, support each other and build on our amazing culture. We are also encouraging our teams to work flexibly, with a blend of remote / office working.
About Us:
Wickes is a multi-channel retailer operating in the home improvement market. With 50 years in industry, Wickes now generates revenue in excess of £1.6bn across 230 stores delivered by 8,000+ colleagues.
But it is the Wickes culture that we are really proud of it’s a collaborative, down to earth, fun and inclusive environment where people feel part of a winning team. All our colleagues come from different backgrounds, but what we all have in common is a determination to succeed and a passion for being the best we can be. If that sounds like you, we’ll make you feel right at home.
Vacancy Reference #46729
Please contact us here if you require any adjustments within the application process. If you require any reasonable adjustments at the interview stage you will have an opportunity to inform us when we invite you to interview. Please note, this link is only for reasonable adjustments required - general enquiries, or direct CV applications cannot be accepted via this form

• Supporting the business with deep dive detailed analysis relevant to their business area allowing them to make insightful decisions.
• Support business needs with relevant training, support and MI Data. Create user manuals / documents to support non tech colleagues.
• Support the development of the Data Lake, collaborating with relevant stakeholders and Data Analysts to ensure that business needs are met. Apply your analytical knowledge to business problems recommending and implementing the analytical approach.
• Strong data reporting knowledge, with an ability to understand reporting for varied audiences.
• To own the Data tables management, supporting the creation of or creating the tables required by the business to build meaningful MI reporting as well as managing the business rules and logic in the data lake.
• Create and amend company reporting and support the ‘spokes’ of super users around the business to ensure they are able to provide insightful reporting.
• Experience of database administration in a multi-user environment.
• Deliver data quality assurance, ensure data accuracy and confidentiality are present throughout data processes and systems.
• Ensure robust procedures and processes are in place to ensure team best practice and high-quality outputs