Data Analyst

interactive investor

Data Analyst synthesising complex data sets into actionable insights at interactive investor. Contributing to data-driven culture and enhancing customer experiences through strategic analysis.

Posted 5/22/2026full-timeManchester • 🇬🇧 United KingdomMid-LevelSenior💰 £40,000 per yearWebsite

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Analyse Data and Generate Insights: Extract and analyse data from our data lakes and relevant sources to provide actionable insights for business decisions and strategy formulation
Reporting and Visualisation: Develop, maintain, and automate insightful BI and MI reports, ensuring data accuracy and relevance. Champion the automation of reporting capabilities to enhance efficiency
Reporting Automation: Work to automate reporting capability through effective use of SQL, Python, Power BI, and other tools to streamline the data analysis process
Collaborative Analysis: Develop strong partnerships with stakeholders from Product, Commercial, Technology, Customer Services, and Operations, etc., to understand requirements, to support their data needs and encourage the leveraging of data for product and service improvements, and create a data-led culture
KPI and Data Insight Development: Lead or contribute to the development and tracking of KPIs and data insights across the company, ensuring a consistent set of measures is used for decision-making.
Analytics Platforms: Utilise platforms such as SQL, Snowflake, Power BI, Usabilla, Google Analytics, Optimizely, ContentSquare, and Hotjar for in-depth analysis and to create insightful reports
Data Science Techniques: Apply data science methodologies, for example, statistical modeling, segmentation analysis, time series analysis, and some predictive techniques to analyse customer behaviour patterns and assess business impacts, collaborating with Data and Innovation team members across different roles to deliver actionable insights
AI/ML Power User: Leverage existing AI and machine learning platforms as a power user to enhance analytical capabilities and productivity
Cross-Channel Analysis: Conduct comprehensive data analysis across all channels and systems, collaborating with subject matter experts
Mentorship and Team Support: Mentor and support team members in best practices and analytical techniques
Data Governance and Compliance: Ensure adherence to data protection laws and company policies, maintaining privacy and security standards across all data handling activities
Cross-functional Collaboration: Actively engage with various departments to integrate data-driven insights into business processes, enhancing decision-making and strategic initiatives
Continuous Learning: Commit to ongoing professional development in data analytics, staying current with industry trends, tools, and best practices
Performance Monitoring & Reporting: Regularly track and report on key performance indicators relevant to each role's domain, contributing to the overall success metrics of the team
Innovation and Continuous Improvement: Proactively seek and implement innovative solutions to enhance analytics capabilities and drive continuous improvement in processes and outcomes
Team Collaboration and Problem-Solving: Participate in team problem-solving sessions, share knowledge, and collaborate on projects to achieve common goals and resolve issues efficiently

Requirements

What you’ll need

Strong background in analytics, ideally within a commercial or digital product/service context
Proficiency in SQL, data visualisation tools (e.g., Streamlit/Python, Power BI, Data Studio/Looker, GA4 Reports), and dashboard/report creation
Experience with Google Marketing Cloud, inc. Google Tag Manager, Google Analytics, Google Search Console, etc
Knowledge of statistical concepts, techniques, and methodologies, and experience with data modelling and architecture
Experience of data science techniques and methodologies, for example statistical modeling, segmentation analysis, time series analysis, predictive modeling approaches, or other data modelling
AI/ML platform proficiency: Experience using AI and machine learning platforms and tools as a power user to enhance analytical capabilities
Effective communication and presentation skills, able to transform complex data into clear insights
Strong stakeholder management skills
Proactive, personable, and able to build relationships across teams
Excellent problem-solving, critical thinking, and attention to detail
Ability to manage multiple priorities and deliver results within deadlines
Understanding of KPIs and success measures
Experience in data projects

Benefits

Comp & perks

Group Personal Pension Plan – 8% employer contribution and 4% employee contribution
Life Assurance and Group Income Protection
Private Medical Insurance – Provided by Bupa
25 Days Annual Leave, plus bank holidays
Staff Discounts on our investment products
Personal & Well-being Fund – Supporting your physical and mental wellness
Retail Discounts – Savings at a wide range of high street and online retailers
Voluntary Flexible Benefits – Tailor your benefits to suit your lifestyle

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLPythondata visualizationstatistical modelingsegmentation analysistime series analysispredictive modelingdata modelingreport automationKPI development

Soft Skills

effective communicationstakeholder managementproblem-solvingcritical thinkingattention to detailrelationship buildingproactive attitudementorshipteam collaborationcontinuous learning