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interactive investor
interactive investor
501 – 1.000 Angajați
Sponsor pentru viza de lucrător calificatAsigurăriConsultanțăFinanțe
interactive investor este o platformă de investiții din Regatul Unit care ajută persoanele și familiile să își gestioneze finanțele pe termen lung. Fondată în 1998, compania oferă acces la conturi de investiții, inclusiv ISA pentru acțiuni și participații, pensii personale autogestionate (SIPP) și conturi de tranzacționare, precum și la o gamă largă de acțiuni, fonduri și ETF-uri. Platforma sa deservește peste 420.000 de investitori și combină accesul la investiții cu opțiuni cu costuri reduse și informații despre piață menite să sprijine luarea unor decizii financiare bine fundamentate.
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Data Analyst, Manchester Hybrid – interactive investor

Use analytics, reporting, and predictive techniques to improve customer experiences, product performance, and business decisions at interactive investor. The role supports data-led initiatives across the company’s UK investment platform.

GBRegatul Unit
32.000 £ / an
HibridNormă întreagăNivel mediuSeniorLimbă Obligatorie: englezăAnalist de date
CloudPythonSQL

Descriere

  • Extract and analyse data from data lakes and other relevant sources to inform business decisions and strategy
  • Build, maintain, and automate accurate, relevant BI and MI reports
  • Automate reporting with SQL, Python, Power BI, and related tools
  • Work with Product, Commercial, Technology, Customer Services, and Operations teams on data requirements and product or service improvements
  • Define and monitor company-wide KPIs and analytical insights
  • Use SQL, Snowflake, Power BI, Usabilla, Google Analytics, Optimizely, ContentSquare, and Hotjar for analysis and reporting
  • Apply statistical modelling, segmentation, time series, and predictive methods to understand customer behaviour and business impact
  • Use existing artificial intelligence and machine learning platforms as a power user
  • Analyse performance across channels and systems
  • Support colleagues through mentoring and guidance on analytical best practices
  • Follow data protection legislation and company policies
  • Embed analytical findings into business processes and strategic programmes
  • Keep current with analytics tools, methods, trends, and best practices
  • Track and report on relevant KPIs
  • Deliver innovative solutions and ongoing process improvements
  • Contribute to problem-solving, knowledge-sharing, and collaborative projects
  • Report to the Data Analytics and Insights Manager

Cerințe

  • Substantial analytics experience, preferably in a commercial or digital product or service environment
  • Proficiency in SQL, data visualisation tools such as Streamlit, Python, Power BI, Data Studio, Looker, or GA4 Reports, and dashboard development
  • Experience with Google Marketing Cloud tools, including Google Tag Manager, Google Analytics, and Google Search Console
  • Understanding of statistical concepts, methods, and methodologies, with experience in data modelling and architecture
  • Experience applying data science methods such as statistical modelling, segmentation, time series analysis, predictive modelling, or related techniques
  • Experience using artificial intelligence and machine learning platforms and tools as a power user
  • Clear communication and presentation skills, with the ability to explain complex data as actionable insight
  • Strong stakeholder management capabilities
  • A proactive, approachable style with the ability to build relationships across teams
  • Excellent problem-solving, critical thinking, and attention to detail
  • Ability to balance competing priorities and meet delivery deadlines
  • Understanding of KPIs and measures of success
  • Experience contributing to data projects
  • Investment industry experience or a strong interest in financial markets is desirable
  • Interest in investing, including knowledge of investment products and market trends, is desirable
  • Python or another programming language for data analysis is desirable
  • Experience with A/B testing, funnel optimisation, and conversion rate optimisation is desirable
  • Familiarity with machine learning methods and predictive modelling applications is desirable
  • Familiarity with Jira, Confluence, or comparable project management tools is desirable

Beneficii

  • Group Personal Pension Plan with an 8% employer contribution and 4% employee contribution
  • Life Assurance and Group Income Protection
  • Private Medical Insurance through Bupa
  • 25 days of annual leave plus bank holidays
  • Staff discounts on investment products
  • Personal and Well-being Fund supporting physical and mental health
  • Retail discounts across high-street and online retailers
  • Voluntary flexible benefits that can be tailored to individual needs

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