Application for Graphics journalist, Visual and Data desk
Elena Sofia Massacesi
(scroll to read how I respond to each of your hiring needs)
A little bit about me
I am a recent graduate from the University of Oxford, where I studied
European Politics at the MPhil level. I also hold a BSc in Politics and
International Relations from UCL. I am originally from Italy but I grew
up in France, and I have been living in the UK for the last five years.
I speak both Italian and French fluently and I have previous experience
conducting research and translation work in both.
Interest in global business, finance, economics, geopolitics, trade and
tech.
I have a strong interest in the intersection of business and politics,
especially with regards to climate policy. In my undergraduate
dissertation I looked at how annual report language predicted
greenwashing behaviour, which earned me the Best Dissertation
Award for my cohort, and most recently my MPhil thesis analysed how
stock markets reacted to the European Green Deal policy wording. Beyond
my research work, I have academic training in political economy and
international political economy (IPE) which allows me to understand
current affairs and how they relate to geopolitics more in depth.
In addition to my focus on IR and political science during my studies, I
maintain my interest in current affairs and writing in my role as the
managing editor of the Oxford Political Review (OPR), where I
edit (and occasionally contribute) global politics articles and
interviews. I greatly enjoy that the OPR shows me stories beyond the
mainstream, and I want to join the FT to continue working within this
diverse and constantly changing space.
Awareness of visual storytelling and data visualisation techniques.
I learned the fundamentals of data journalism during my internship with
The Economist ’s Data Team, where I pitched stories and provided
help with ad-hoc tasks. Though it was a steep learning curve, I learned
how visual journalism can be a way to effectively compete in the
attention economy and how to search for data sources.
Two of the pieces I worked on were published on The Economist ’s
page. I gathered data and wrote America’s
missing doctors following my senior editor’s pitch, and I pitched
and researched Don’t
blame “quiet quitting” on Gen-Z. I also contributed desk research to
Places
claiming to be centenarian hotspots may just have bad data.

Chart from America’s missing doctors

Chart from Don’t blame “quiet quitting” on Gen-Z
Last year I also brought my visual data skills to the OPR. I took data
from an academic paper (liasing with the author) on different ways teen
migrants adapted to their new country and adapted the visualisation to
be more easily comparable. Though I had less creative control over the
final illustration than I would have liked, this marked the OPR’s first
data journalism article.

Chart from my piece in the Oxford Political Review (OPR)’s print
issue
I want to join the FT to continue doing this work now that I have a
stronger political science background and a more defined idea of what I
want to achieve with my career. I am especially interested in
investigative journalism. After having attended London Climate Action
Week (LCAW)‘s corporate events last month; at events attended by
business leaders there was a very ’sustainability is here to stay’
attitude, but this contradicted their actions (most companies have cut
back their 2030 goals) as well as the talking points at journalism and
public-sector events. I want to continue exploring these questions
through the FT’s network and reach.
Experience creating bespoke data visualisations using React or similar
frameworks.
Though I have not used React, I have experience in using R for data
visualisations for my academic work. I have also previously worked with
Adobe Photoshop, Adobe Indesign, Procreate and Canva for visual art
projects, so I am confident I can quickly pick up on new technologies.

Map describing my MPhil dataset
Numeracy and data-handling skills.
In addition to my training from The Economist , I have academic
training in quantitative methods for social science analysis using R.
Most recently, I created a dataset from scratch for my MPhil thesis,
sourcing financial data (primarily through LSEG/Refinitiv and WRDS),
using SQL to query EU datasets (Cellar), and updating a climate
dictionary to measure climate talk in European firms’ earnings calls.

Word cloud from dictionary analysis on most common words related to
regulatory risk
Communication, collaboration and teamwork.
Working as managing editor of the OPR showed me the importance of
effectively communicating demands, deadlines, and expectations to the
senior levels of the committee and the editors. I worked tightly with
the editor-in-chief, and together with the senior editorial team we
produced three editions on time and with themes popular enough to
attract record numbers of attendees at our launch events, especially
from outside our usual pool of readers. I am confident I can bring my
communication skills to effectively collaborate with the rest of the FT
team.
I have also worked on written pieces alongside colleagues with different
backgrounds, which prepares me to effectively work across sections at
the FT. At Oxford Net Zero I worked with a fellow intern from a
consulting background to draft a set of climate-justice business
standards, and at medical consultancy firm IQVIA I worked with a leader
of medical education to research and write a white paper on the impacts
of a new EU regulation on patient data. At The Economist I also
liased with editors from columns outside of the data team to build on my
pitches or provide the data for their ideas. I want to continue working
and learning from colleagues with different research backgrounds from
mine through the FT’s experts.
Adapting to changing technical and editorial needs, multitasking and
ownership of visual storytelling.
I have more experience with things going ‘wrong’ than I perhaps would
like to. One of my published pitches was originally supposed to have
data from places with failing birthrates, including Italy and Japan -
two countries which have notoriously bad data collection. Despite being
able to collect some data for these two countries and having full data
for a two other countries (including Finland - I do not speak Finnish
but nonetheless managed to obtain precise medical records through
unrelenting correspondence with their official bodies), the senior team
decided to re-frame the article to be focused on the US. I thus had to
adapt my focus and supplement my existing research, as well as adapt to
this new angle.
In addition to the difficulties in finalising the successful pitches,
the majority of my original pitches were rejected or did not have good
enough data to make it through. I spent five weeks researching a story
on the (at the time new) route of cocaine from Ecuador to Europe,
interviewing experts from the UN as well as correspondents on the
ground. Though frustrating, this experience taught me when to let a
pitch go and how to effectively balance working on multiple tasks at
once.
I also have experience in adapting my communication for extracting
information from a wide variety of people. At the Oxfordshire County
Council I had to audit each of the transport policy’s teams progress and
then compile a document of recommendations to keep the organisation on
track. I switched from my initial approach of going in with a mandate
and reframed my approach as being an opportunity for colleagues to air
their grievances, which provided me with far more transparent
information and allowed me to effectively gather the data I needed.
I am confident that I can apply my adaptability and resilience in the
face of data scarcity to sourcing quality data for the FT’s team.
Using AI tools responsibly.
I do not use AI in my daily life and I believe it should be used as
sparingly as possible, especially due to its impact on the climate and
our cognitive functions. However, I use AI in helping me with my coding
and to discover functions of platforms that I did not receive formal
training for.