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- Tasks: Join us as a Senior BI Analyst to drive data strategy and optimize decision-making.
- Company: Work with a dynamic client in Ipswich, embracing a hybrid work model.
- Benefits: Enjoy flexible work arrangements and collaborate with innovative teams.
- Why this job: Make an impact by transforming data into insights that shape business strategies.
- Qualifications: 2 years of analytical experience, SQL, PowerBI, and advanced Excel skills required.
- Other info: Opportunity to participate in a data analyst rotation program for diverse experience.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a Senior Business Information Analyst to join our client working in Ipswich, Suffolk. This client is working a hybrid model and you can expect to report to the office 2/3 times a week. The purpose of this role is to help deliver our data strategy, including supporting data-driven decision-making processes across the organisation, optimising internal processes, and assisting with management information reports.
Key Accountabilities
- Data Collection and Management
Collaborate with data engineers to gather and organize data from various sources, both internal and external, including cloud-based platforms and on-premises databases such as SQL, Microsoft Dynamics, MongoDB, GA4, BigQuery, and third-party connectors. Use SQL to query and manipulate large datasets efficiently, helping design schemas and tables within the data lake’s medallion architecture. Ensure data accuracy and consistency by cleaning, validating, and preprocessing datasets, addressing issues like missing data, outliers, and duplicates. Continuously expand a multi-layered reporting structure, integrating transactional, product, contact, and account-related datasets to deliver a comprehensive customer view for both technical and non-technical stakeholders. Ensure compliance with data privacy and security regulations, including GDPR and CCPA. - Data Analysis and Insights
Apply statistical techniques to analyze client and prospect data, identifying key patterns, trends, and anomalies to support strategic decision-making and commercial outcomes. Develop client segments based on demographics, transactions, engagement levels, and other factors, creating tailored personas for deeper customer understanding. Create detailed profiles of customer groups, highlighting preferences, needs, and pain points. Analyze client feedback and survey data, correlating it with digital engagement and transactional metrics to identify areas for improvement. Build predictive models to forecast client behavior, including responses to marketing campaigns, churn, service changes, and customer movement within service tiers. - Data Visualization and Reporting
Design and maintain interactive dashboards and reports using PowerBI, supporting the migration and reconfiguration of SSRS reports into PowerBI dashboards. Translate complex data into clear and actionable visualizations for stakeholders. Contribute to the creation and refinement of reporting style guides to ensure alignment with brand identity and best practices. - Stakeholder Collaboration and Support
Collaborate closely with data engineers to ensure seamless data flow and work with data scientists on advanced analytics, predictive modeling, AI, and machine learning projects. Work with cross-functional teams, including advisers, product development, IT, and marketing, to ensure data insights shape future product strategies. Partner with stakeholders to identify and address pain points, optimizing processes to scale the business, reduce costs, and enhance client satisfaction. Participate in a data analyst rotation program, working within various business units to provide technical expertise, training, and support in accessing, interpreting, and visualizing data for reporting and analytics, fostering a collaborative and innovative data culture.
Skills & Qualifications required:
- 2 years experience in an analytical role with exposure to statistical analysis and data modelling techniques, and be comfortable with large datasets (Essential)
- Experience in SQL, PowerBI, Python (Essential)
- Will have advanced Excel skills (Essential)
- Degree-educated in a relevant subject (Desirable)
- Experience with Git operations, GitHub copilot and CI/CD flows (Desirable)
- Will be an effective communicator and able to work with stakeholders cross-functionally
- Knowledge of cloud computing platforms, in particular Azure Databricks, ETL and ELT processes, as well as experience with big data technologies and frameworks a plus
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Senior BI Analyst, Suffolk employer: TN United Kingdom
Contact Detail:
TN United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior BI Analyst, Suffolk
✨Tip Number 1
Familiarize yourself with the specific data tools mentioned in the job description, such as SQL, PowerBI, and Python. Consider taking online courses or tutorials to sharpen your skills in these areas, as hands-on experience will make you stand out.
✨Tip Number 2
Network with professionals in the BI field, especially those who work with data engineers and analysts. Attend local meetups or webinars related to data analytics to gain insights and potentially connect with someone at the company.
✨Tip Number 3
Prepare to discuss your experience with data visualization and reporting. Have examples ready of how you've used PowerBI or similar tools to create impactful dashboards that influenced decision-making.
✨Tip Number 4
Understand the importance of data privacy regulations like GDPR and CCPA. Be ready to discuss how you've ensured compliance in past roles, as this knowledge is crucial for the position.
We think you need these skills to ace Senior BI Analyst, Suffolk
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Senior BI Analyst position. Understand the key responsibilities and required skills, especially focusing on data collection, analysis, and visualization techniques.
Tailor Your CV: Customize your CV to highlight relevant experience in SQL, PowerBI, and statistical analysis. Make sure to include specific examples of how you've worked with large datasets and contributed to data-driven decision-making.
Craft a Compelling Cover Letter: Write a cover letter that showcases your analytical skills and experience. Mention your familiarity with cloud computing platforms and your ability to collaborate with cross-functional teams, as these are crucial for the role.
Highlight Your Technical Skills: In your application, emphasize your technical skills, particularly in SQL, PowerBI, and Python. If you have experience with Git operations or big data technologies, be sure to mention those as well, as they are desirable qualifications.
How to prepare for a job interview at TN United Kingdom
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, PowerBI, and Python in detail. Bring examples of how you've used these tools to manipulate large datasets and create impactful visualizations.
✨Demonstrate Data-Driven Decision Making
Highlight specific instances where your analysis led to strategic decisions or improvements. Be ready to explain the statistical techniques you applied and the insights you derived from client data.
✨Understand the Business Context
Research the company and its data strategy. Familiarize yourself with their products and services, and think about how your role as a Senior BI Analyst can contribute to their goals and enhance client satisfaction.
✨Prepare for Stakeholder Collaboration
Since this role involves working with cross-functional teams, be ready to discuss your communication style and how you’ve successfully collaborated with different stakeholders in the past.
