Senior Data Analyst
Role details
Job location
Tech stack
Job description
The Data Analytic team comprises of data analysts and data scientists working across CDP to deliver innovative data products and data analytical services for internal and external stakeholders including Marketing & Comms, Customer Success, Data Sales, Capital Markets, Cities, States and Regions and Supply Chain clients. Alongside the team, you will help develop and deliver exciting and impactful insights projects as well as support day-to-day operations via servicing of ad-hoc requests from across the organisation., The Senior Data Analyst works closely with their squad to deliver impactful insights dashboards and data products to stakeholders from across the organization including finance, marketing, comms, commercial, operations and technology. They work with a degree of expertise in their field that allows them to independently lead a project as well as oversee work of other data analysts. The Senior Data Analysts brings new innovative ideas for improvement to the table and can structure a plan for how these are developed and integrated. In addition to producing work, they are expected to clearly communicate technical ideas and concepts to a variety of audiences and stakeholders, technical and non-technical alike. Senior Data Analysts help sets a precedent for what good look like in the team and actively engages other team members to lift the group as a whole.
What you will do:
- Create impactful data products and data visuals and insights using Power BI.
- Work closely with your squad lead and other stakeholders to define, prioritise and manage delivery requirements.
- Develop cloud-based scripts and pipelines using SQL, PySpark & Synapse Notebooks.
- Ensure quality and accuracy of data feeding into the metrics, KPIs and dashboards.
- Review work carried out by other data analysts.
- Take initiative and help upskill/guide fellow team members in areas where you excel.
- Help plan/manage backlog and delivery plans for projects you are involved in.
Actively contributes to an effective and engaged team, clear on its purpose and contribution, by:
- Ensuring you know what is expected of you, through regular 1:1s, having clear objectives in place, and participating in open and honest performance and development conversations.
- Ensuring a respectful and inclusive workplace, where team members communicate openly, share knowledge so it can be used, and respect difference.
- Living the CDP Values and demonstrating the behaviours appropriate to your position.
Internal stakeholders include: Data Engineering, Data Governance, Products, Thought Leadership, Finance, Customer Success, Internal Communication, External Communication.
External stakeholders include: Data product customers, partner organisations., The salary banding for this role is £39,525 - £49,407(or regional equivalent for this Grade). Holidays and benefits in accordance with local regulations.
Requirements
Do you have experience in SQL?, * Background in applied data analytics and/or data science, developing and delivering high impact metrics, analytics insights and data products across multiple business segments.
- Expert coding capabilities in SQL, Python, PySpark and Notebooks.
- Advanced data visualisation skills and experience developing semantic models and dashboards with PowerBI or similar BI tools.
- Experience working with cloud computing in Azure Synapse or similar platforms.
- Ability to present technical content to a variety of technical and non-technical audiences.
- Ability to work on several projects/deliveries simultaneously.
- Great attention to detail and commitment to achieving high standards is essential.
- Capable of working collaboratively with Git and DevOps
- Excellent problem-solving skills.
- A team player mentality is a must.
- Impeccable communication skills in English.
Desirable
- A background working with customer segmentation is considered a big plus.
- Experienced working according to agile project/product management is desirable.
- Applied experience with CRM tools and marketing automation tools.