Analyst, Surveys

3 weeks ago

London, United Kingdom Alphasights Full time

As an Analyst on the Surveys team, you will play a key role in enabling AlphaSights’ clients to collect expert insights via online, programmed surveys. You will be instrumental in driving the growth of the Surveys service at AlphaSights by providing analytical expertise to Surveys team members on client facing projects and for internal capabilities development. This is a chance to utilize your skills in problem solving, quantitative analysis, and communication to help AlphaSights’ survey project managers solve client pain points and unlock advanced survey capabilities, and in turn, help AlphaSights clients succeed. You will be based in London and will support our Surveys teams in both offices.

This is an excellent opportunity for motivated and hardworking professionals, who want to develop a highly transferable analytical skill set in a client-centric environment.

What you’ll do:

  • Data analysis & visualization: Clean, analyze, and draw valuable insights from survey data and create presentation-ready reports to deliver immediately accessible insights to clients
  • Quality control:  Build processes to minimize unforced errors throughout complex stages of a survey project
  • Advance survey capabilities:  Progress our capabilities to service sophisticated research methodologies (e.g. pricing questions) via advanced survey coding, authoring, and analysis
  • Support live client requests : Work with AlphaSights clients across all parts of the business, including at leading investment firms, corporations, and consulting firms, and offices to provide analytical support as needed
  • Identify new and maintain existing relationships with key internal and external stakeholders

Who you are:

  • Entry-level role : 0-2 years of working experience. Relevant work/internship experience at a consulting, market research firm, or in a role working with data in a business context, are preferred. 
  • Excellent analytical and quantitative skills: You love working with data, enjoy technical challenges and have an innate desire to solve business problems analytically; also evidenced by achieving a2:1 or above (or equivalent), in a quantitative degree (e.g., Engineering, Maths, Economics, Finance)
  • Great problem solver: You have an aptitude for solving complex and unstructured problems
  • Comfortable with ambiguity and high level of autonomy: You’re able to context switch effectively between various responsibilities and stakeholders, and can drive forward your work independently. This is a new role and will require a proactive and autonomous mindset.
  • Highly driven and proactive: You have excellent planning and organisational skills, can meet tight deadlines and prioritise workloads in a fast-paced environment
  • Want to create impact: You care about solving business problems and providing senior leaders with actionable data insights that propel the growth of AlphaSights
  • Effective communicator : You have excellent written, verbal, presentation and interpersonal skills; can clearly articulate your points and absorb feedback from both technical and non-technical stakeholders
  • Meticulous: You hold yourself to high standards, have obsessive attention to detail and take a methodical approach to work

Technical skills:

  • Proficiency in Excel and PowerPoint
  • Familiarity with coding (SQL, Python, R, VBA etc.) is a plus
  • Familiarity with survey platforms (Decipher, Qualtrics, etc.) is a plus
  • Experience with multiple reporting mediums (Periscope, Tableau etc.) is a plus
  • Must pass a quantitative based test for application to be progressed

Compensation and benefits:

  • Total first-year compensation is £40,000
  • 4% matched pension contribution on qualified earnings
  • Comprehensive private health insurance coverage and dental insurance
  • 25 vacation days, 8 bank holidays, and business closure over the Christmas break
  • State-of-the-art office in the City of London; option to WFH each Friday

AlphaSights is an equal opportunity employer.

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