Data Analyst

interactive investor

May 25

Job
Full-time
Mid & Senior Level
Data
Manchester

AI generated summary

You need strong analytics, SQL, data visualization skills, experience with Google Marketing Cloud, data science techniques, AI/ML proficiency, and knowledge of financial markets.
You will analyze data for insights, automate reporting, collaborate with stakeholders, track KPIs, apply data science techniques, ensure data governance, and drive continuous improvement in analytics.

Requirements

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
Experience in the investment industry or a strong interest in financial markets
Interest in investing, with knowledge of investment products and market trends
Proficiency in Python, or other languages, for data analysis
Experience with A/B testing, funnel optimisation, and conversion rate optimisation techniques
Familiarity with machine learning techniques and their application in predictive modelling
Familiarity with Jira/Confluence or similar project management tools

Responsibilities

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

FAQs

What is the location for the Data Analyst position?

The position is hybrid, requiring you to work 3 days a week in Manchester and 2 days remote.

What is the salary range for this role?

The salary for the Data Analyst position starts from £40,000.

What are the main responsibilities of the Data Analyst?

The main responsibilities include analyzing data to generate insights, developing and maintaining reports, collaborating with various stakeholders, and applying data science techniques to assess customer behaviors and business impacts.

What tools and technologies are expected to be used in this role?

Expected tools include SQL, Snowflake, Python, Google Analytics, Power BI, and other data visualization and analytics platforms.

Is prior experience in the investment industry required?

While it's not mandatory, experience in the investment industry or a strong interest in financial markets is desirable.

What are the essential skills required for this position?

Essential skills include proficiency in SQL and data visualization tools, knowledge of statistical concepts, experience with data science methodologies, and effective communication and stakeholder management skills.

Are there opportunities for professional development?

Yes, the role includes a commitment to ongoing professional development in data analytics and staying current with industry trends.

What benefits does interactive investor offer to its employees?

Benefits include a Group Personal Pension Plan, Life Assurance, Private Medical Insurance, 25 Days Annual Leave, staff discounts, a Personal & Well-being Fund, and voluntary flexible benefits.

How does interactive investor ensure fairness in the hiring process?

The company operates in accordance with the UK Equality Act 2010 and welcomes applications from individuals of all backgrounds, ensuring a fair and non-discriminatory hiring process.

What should I do if I don't hear back after applying?

If you haven't been contacted within 30 days of your application, please consider that your application has been unsuccessful.

interactive investor

The award-winning investment service that helps you take control of your financial future.

Finance

Industry

501-1000

Employees

1995

Founded Year

Mission & Purpose

We are interactive investor, the UK’s number one flat-fee investment platform. For a simple, monthly fee, we provide a secure home for your pensions, ISAs and investments. This comes with an industry-leading selection of investments and a team generating up-to-date expert insight. interactive investor has been helping customers for over 25 years. We have assets under administration approaching £55 billion and more than 400,000 customers. We are based in Manchester and, with offices in Leeds and London, employ more than 500 people. ii is an @abrdn business. Read more: https://www.ii.co.uk/about-us/our-ownership Important information: Please remember the price and value of investments and their income fluctuates and you may get back less than you invested. Past performance is no guarantee of future performance. If in any doubt, please consult a financial adviser. Our services are provided to you by Interactive Investor Services Limited, which is authorised and regulated by the Financial Conduct Authority (FCA). Registered in England with Company Registration number 02101863.