QA Data Analyst - Part Time

Data · Remote - work from anywhere, equipment provided, London, City of
Department Data
Employment Type Part-Time

Executive Nexus (EN) is a two-sided technology enabled services business serving CEO-level executives and the private equity (PE) industry.  EN provides timely and consequential connections between investors and CEOs by matching the interests and requirements of both parties.

Through a mixture of transaction-related and long-term initiatives, EN enables client PE firms to build networks in their target industry segments, originate deals, identify senior advisors and hire executives into their portfolio companies. Clients engage with EN via enterprise level subscriptions, based on a package of services.

For executives, EN provides visibility and access to relevant people in the PE industry. The service is based around an invitation-only digital platform, which provides users with recommendations of people they should meet in PE, based on their preferences and industry expertise. This content enables EN to engage with executives outside of client requirements, which presents an opportunity to rapidly scale. The app promotes engagement, ensuring EN can provide fast access to executives to service future client requirements.

The business was founded in 2020 by two experienced PE head-hunters and has grown rapidly with the support of blue-chip upper-mid and large-cap private equity client. EN employs colleagues in the UK, US and Germany, plus offshore teams in India and Bangladesh.


 

The Role and the day-to-day:

As a QA Data Analyst, you will work day-to-day with our data engineers, data researchers, advisors, and other service providers. You will take ownership for QA for all data and work to maintain and improve our dataset.

 

As a Data QA Analyst your responsibilities will include, but not be limited to the following:

 

  • Ownership of QA for all data currently held in the database and any new data
  • Manage QA for research added by internal and external users to ensure processes are followed
  • Build and maintain a strong working relationship with the external data teams
  • Use QA and data processes to maintain and improve the quality of the dataset
  • Updating current internal process documents and building new processes as required
  • Validate data on the system through using primary research and external data sources
  • Highlight and remove duplicate data within the dataset
  • Working closely and collaborating with internal and external teams on relevant assignments

 

Skills required:

 

  • Exceptional attention to detail
  • Strong Excel skills
  • Experience of using data tools and platforms
  • Highly organised
  • Ability to work with stakeholders and escalate issues when identified
  • Strong communication skills both verbal and written

 

 

What is it like to work here?:

  • We are proud to have a collaborative, supportive and respectful culture
  • Everyone has a “seat at the table” to make an impact, progress themselves and our business
  • We treat you like an adult, and trust you
  • We encourage independent decision making, give opportunities and allow you to excel
  • We support autonomy, progression, diversity and flexibility

 

What we offer:

We offer extensive benefits covering financial, wellbeing, lifestyle and personal development, including:

  • Competitive salary
  • Share scheme options
  • Annual discretionary bonus
  • Company contributed pension
  • Private health insurance
  • Wellness initiatives including daily live home workouts and meditations
  • Generous 25 day holiday allowance, with a 22 day minimum to ensure you are taking enough time away from work, in addition to UK bank holidays and Christmas-New Year off
  • No set working hours, to allow you to manage work and home-life
  • Annual Company Charity Volunteering Days
  • Sustainability Initiatives
  • Regular team social events
  • Discounts and premium rates across retail, memberships, insurances, dining and more

 

Performance reviews?

  • We offer you exposure, autonomy and opportunities to develop
  • Quarterly reviews, and regular feedback
  • Bespoke development plans
  • Access to independent learning schemes
  • Training programmes, and on the job learning

 

Thank You

Your application was submitted successfully.

  • Location
    Remote - work from anywhere, equipment provided, London, City of
  • Department
    Data
  • Employment Type
    Part-Time