Senior Data Analyst

3 weeks ago

London, Greater London, United Kingdom Fastmarkets Full time

Job Title: Senior Data Analyst

Job Summary:

We are seeking a highly motivated and experienced Senior Data Analyst to join our team at Fastmarkets. As a Senior Data Analyst, you will be responsible for leading on ESS market analysis and forecasts, identifying necessary data inputs, and overseeing procurement, collection, cleaning, and validating data for creating a renewable energy forecast, energy storage demand, and country-level market fundamentals.

Key Responsibilities:

  • Lead on ESS market analysis and forecasts
  • Identify necessary data inputs and oversee procurement, collection, cleaning, and validating data
  • Partner with Fastmarkets' Battery Cost Analyst to analyze and integrate raw material price and chemistry outlooks to estimate costs for energy storage cells
  • Update analysis on market fundamentals, comprised of country-level data on ESS deployments, ESS targets, and key drivers and barriers for adoption
  • Supplement forecast models with content creation on the battery raw materials market, technology development, regulatory/policy developments, ESG regulations, and trade policy that impacts the ESS market
  • Be the lead author of Fastmarkets' Quarterly ESS Outlook and 10-Year Forecast Report, and control input from internal and external contributors to guarantee timely and coherent updates for our customers
  • Lead development of new and enhanced analysis and content for the quarterly report
  • Manage client and internal enquiries about the ESS market and be accountable for fulfillment of requests for insight and data for presentations and interviews
  • Data and analysis contributions for presentations at industry events, forums, webinars, and product marketing
  • Use your network to engage with market participants, gain insights across the value chain, promote Fastmarkets data and insights, and identify opportunities for product enhancements
  • Act as a subject matter expert to showcase value to prospective clients in partnership with sales
  • Work with consulting on projects by interacting with clients, helping specify and design studies which deliver to client needs, undertaking primary and secondary research, and supporting delivery

Requirements:

  • In-depth knowledge of ESS, market fundamentals, and working knowledge of battery raw materials, battery chemistries, and cells, and EV markets
  • 2-4 years of relevant data collection, management, analysis, and forecast model development experience, including internships
  • Preference for previous experience in battery or commodities research, mining and refining, commodities trading, and/or industrial manufacturing
  • Strong data identification and acquisition expertise conducted via primary and secondary research
  • Comprehensive understanding of statistical modeling and forecasting, particularly with regards to time series data, and some exposure to machine learning a plus
  • Able to critically assess statistical analyses and forecast models and suggest improvements
  • Proficiency with Microsoft, data analysis, and forecast modeling applications
  • Excellent writing and verbal skills
  • Confident with presenting at industry events and speaking to customers, etc.
  • Able to foster and develop relationships with market participants
  • Collaborative team player

Behavioral Competencies:

  • The successful candidate will be proactive, pragmatic, and resilient with a positive and flexible approach, focused on achieving results and the right outcome for a growing business
  • Is self-disciplined and takes pride in managing self to deliver agreed objectives
  • Personable with a preference for developing strong, collaborative working relationships
  • Demonstrates high personal energy
  • A confident and inquisitive communicator who actively listens and questions – shows a growth mindset and naturally curious
  • Demonstrates influence with humility – can provide advice and guidance without being a 'knower'
  • Is collaborative and able to adapt own approach and style to the situation
  • Comfortable with ambiguity – where a pathway may not be clear, thrives in working through the challenge
  • Can balance requirements for analytical rigor with commercial imperatives of efficient, on-time delivery

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