Weekly News Digest: 8th - 12th March 2021

Ewan Dunbar our consultant managing the role
Posting date: 3/12/2021 11:36 AM
This is Harnham’s weekly news digest, the place to come for a quick breakdown of the week’s top news stories from the world of Data & Analytics. 

BBC: International Women’s Day: Illustrating the COVID-19 pandemic


This incredible article from the BBC reflects on the volatility of the past year and the aftershocks all of us have suffered as a direct response to the COVID-19 pandemic. One huge issue faced by many is the sheer volume of information we are given daily around the pandemic, and how overwhelming it has become for many of us to take in. 

Author, Dhruti Shah, speaks to three female pioneers in the fields of science, health and technology who have been using their artistic talents to help us understand and battle coronavirus in a simple, digestible and visual way. For example:

“Avesta Rastan, 25, is a visual science communicator currently living in California.

At the start of the pandemic, she realised there weren't many infographics revealing how Covid-19 directly affected the human body.

So, the artist, who is of Iranian and Canadian heritage, and is a member of the Association of Medical Illustrators, saw a unique opportunity to use her skills and her training in pathological illustration (the drawing of disease) to help the wider public."


"I saw lots of illustrations and 3D models of the virus itself and its protein, but I didn't really see what it did to us," she explained.”

To read more on this, click here.

Open Access Government: How to tackle the gender gap in artificial intelligence


There’s no denying that Data & Analytics is an incredibly male-dominated industry, especially across areas such as Machine Learning and AI. Reports show that 26 per cent of the Data and AI industry is made up by women, with the findings going on to say that the lack of representation in senior roles is a real ‘turn off’ for any women considering entering the industry. 

In this article by Open Access Government, five key areas are highlighted that must be implemented if we are to challenge and change the stereotypes in the industry currently and encourage a more equal workforce.These include:

  • Fix the STEM gap to reduce bias in development: “With women representing a percentage of only 20-25 per cent of the sector, technological developments will be skewed,” Andrea Mandelbaum, President and CEO of Mc-Luhan says.
  • The battle for diversity starts in education: Dr. Angela L. Walker Franklin struggled to find mentors who had the same lived experience as herself, “despite many years of talk of diversifying leadership in higher education.” It’s time to start practicing what we preach from school.  
  • Defying gender roles and expectations is key to career success: Liliana Mantilla who works as a Cognitive Delivery Manager at Amelia, an IPsoft Company, describes previous roles in which she felt she “had to work twice as hard as fellow male colleagues.” Men need to get involved in the conversation to help create change. 

Read more on this here.

KDNuggets: 9 skills you need to become a Data Engineer


KDNuggets gives some fantastic career advice to the next generation of Data Engineers, of which there is a growing number. As the industry becomes more competitive, there are 9 key areas candidates need to focus on to clinch that dream job.

  1. SQL - “Strong SQL skills allow using databases to construct data warehouses, integrating them with other tools, and analysing that data for business purposes.”
  2. NoSQL - “Examples of NoSQL include Apache River, BaseX, Ignite, Hazelcast, Coherence, and many more others. You’ll definitely get across them during your data engineer job search, so knowing how to use them would be a huge advantage.”
  3. Python - “Data engineers are expected to be fluent in Python to be able to write maintainable, reusable, and complex functions.”
  4. Amazon Web Services (AWS) - “If you’re interested in learning AWS, you might want to try online courses or Amazon’s own tutorials"
  5. Kafka - “60 percent of the Fortune 100 companies use Kafka for their applications.”

For the next four key skills you must know to become a Data Engineer, read the full piece here

AdExchanger: Inside Disney’s plan to automate half its ad business within five years


Disney has announced very ambitious plans to automate over half of its ad business over the next five years. As part of this plan, the animation giant has created a programmatic exchange, also known as Disney Real-Time Ad Exchange (DRAX), which will allow any potential buyers to compete for all Disney ad impressions.  

Lisa Valentino, Disney Ad Sales EVP of client solutions and addressable enablement said: “Automation and data is really the underpinning of the Disney Platform, that is a new way of clients doing business with us.”

This need to move to a much more automated way of working comes after Disney’s multitude of partnerships which have manifested over the past few years, including Hulu, the Trade Desk and Google. 

Valentino continues: “We’re democratizing the client pool and allowing clients to better plan for access to Disney.”

Read more on this story here

We've loved seeing all the news from Data & Analytics in the past week, it’s a market full of exciting and dynamic opportunities. To learn more about our work in this space, get in touch with us at info@harnham.com.

Related blog & news

With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

Visit our Blogs & News portal or check out the related posts below.

Weekly News Digest: 12th - 16th April 2021

This is Harnham’s weekly news digest, the place to come for a quick breakdown of the week’s top news stories from the world of Data & Analytics.      Express Pharma: The five biggest data challenges for life sciences Life Sciences has grown exponentially over the past 12 months. As the COVID-19 pandemic devastated the world, Life Science companies were in a race against time to create a life-changing vaccine and help us all back on the road to recovery.  In 2019, the Life Science market was valued at around $7.5bn. After this year’s influx of activity, the market is estimated to grow by over double in the next decade, reaching $18bn by 2030.  However, despite the positive growth the industry has had, this doesn’t mean Life Sciences will be free of challenges. In fact, with such a spike in the amount of data held by so many Life Science companies as they tried to work on a vaccine, data storage is now one of the main concerns for anyone working within the field.  In this article by Express Pharma, Vimal Venkatram, Country Manager for Snowflake India, highlights the five key data hurdles Life Sciences will continue to have to overcome in the following decade. These include data performance, data exchange and collaboration, data quality, data management and scaling, and regulatory compliance.  Read the full story here.  Harnham: How can organisations tap into the huge pool of neurodiverse data talent? For many companies, the past year has led to an increased focus on diversity and inclusion within businesses – a fantastic step forward. However, when we think of diversity, we usually assume people are talking about gender, ethnicity, sexuality and perhaps even physical disability. One area that is regularly missed from discussion is that of neurodiversity.  An umbrella term coined by sociologist, Judy Singer, neurodiversity can cover a wide range of neurological conditions such as dyslexia, autism, ADHD, ADD and dyspraxia. Our head of internal recruitment, Charlie Waterman, explores why neurodiverse talent shouldn’t be overlooked, and how Data & Analytics specifically can do more to tap into and harness this incredible pool of talent.` Exploring how employers can create a smooth recruitment process, successful onboarding programmes and retention schemes, this article highlights how all of this can be tailored to be accessible for anyone with an invisible disability. To read more on this topic, click here. Computer Weekly: What has a year of homeworking meant for the DPO? Employers in a significant number of industries across the world have had to uproot from the office to working from home because of the COVID-19 pandemic. For many of these employers, it appears that remote working, or a hybrid model of working, will become the norm post-pandemic.  But what has this sudden shift meant for the likes of Data Protection Officers (DPOs)? Most of these professionals have had to get to grips with managing and handling sensitive data from the comfort of their own living room. According to data from IBM, 70 per cent of DPOs believe that the shift to remote working will increase the likelihood of data breaches. So how can DPOs enjoy the benefits and perks of working from home, without the stress of poorly managed or breached data? In this article by Computer Weekly, steps are outlined on how DPOs can work closely with IT teams to minimise any data risk that could happen. This includes: Not allowing DPOs access to everything if it’s not necessaryDiscouraging local storage of dataRegularly reviewing security standards To read the full article, visit the website here.  Solutions Review: The three best Data Engineering books on our reading lists There’s no better feeling than getting stuck into a really good book. Not only can it be a great way to escape the stresses of everyday life, but by continuously absorbing new information, your knowledge on a specific subject can grow immensely.  Any branch of Data & Analytics, but especially Data Engineering, requires employees to always be thinking one step ahead, staying on top of new trends and keeping up to date with specific coding languages. While everyone learns in very different ways, reading is a brilliant education tool. Whether you’re a visual learner, an auditory learner or a reading learner, books and audiobooks could be the key to expanding your knowledge.  Solutions Review provides Data Engineers with three of the best books on the market at the moment to help you keep on top of your professional development. Data Driven Science and Engineering by Brunton and KutzData Engineering with Python by Crickard An introduction to agile Data Engineering by using data vault 2.0 by Graziano To read more about each of these books, click here.  We've loved seeing all the news from Data & Analytics in the past week, it’s a market full of exciting and dynamic opportunities. To learn more about our work in this space, get in touch with us at  info@harnham.com.    

How Can Organisations Tap Into The Huge Pool Of Neurodiverse Data Talent?

Ensuring that our workplaces are thriving with a diverse range of talent is, rightly, a topic that many organisations are focussing on. Yet, for the most part, this dialogue is centred around gender, ethnicity, sexuality and perhaps even physical disability. It is fairly uncommon therefore to see close attention given to exploring the challenges surrounding neurodiversity in organisations around the globe. Generally speaking, the term neurodiversity encompasses autism, attention deficit disorders, dyslexia, dyscalculia, dyspraxia and other neurological conditions. To hear a range of diverse viewpoints and perspectives is to contribute to an inclusive society and organisation. Leaving neurodiversity aside is no longer acceptable. Our research in the US highlights how 26 per cent of US adults have some form of disability, yet disabled individuals only account for 3.5 per cent of those working in Data & Analytics. As the global skills shortage worsens, it stands to reason that businesses will want to access this previously untapped talent pool. We know that in the UK, 56 per cent of organisations continue to experience skills shortages and in the US, two-thirds of employers hiring for full-time, permanent employees say they can’t find qualified talent to fill open jobs. An often-overlooked area of diversity is the impact a disability can have on an individual’s professional career. It’s no secret that all organisations would like to construct the best team – but are you doing enough to consider underrepresented talent? Creating a smooth recruitment and interview process One of the first barriers that neurodiverse candidates may encounter when seeking to enter an organisation is the recruitment and interview process. For these individuals, undergoing testing in this way puts pressure on communication skills, a tool that often allows us to better understand, connect and empathise with one another. When it comes to the recruitment process, the traditional in-person interview process — which assesses communication skills and personality fit — can be difficult to negotiate for neurodiverse candidates. In fact, this can be said to have been heightened by the pandemic too. The switch to virtual interviewing has added a new challenge to how neurodiverse candidates are able to participate in the process as miscommunication and interruptions come into the picture. For employers, tapping into the pool of data professionals with these invisible disabilities requires them to take the stress out of the interview and assessment process. It is critical to consider someone’s potential ability to do the job and the core skills that they have linking directly to the role on offer. Onboard a successful neurodiverse candidate efficiently Regardless of the size of an organisation, from global corporation to growing SME, they all share the same need to onboard new hires successfully and with limited disruption. It is this process that begins the relationship between an employee and an employer and although there will have been interactions through the recruitment process, it is the initial welcome into the organisation that will set the tone for the relationship moving forward. For neurodiverse employees this can be a daunting prospect; meeting new people while also familiarising themselves with a new environment and routine requires ongoing support and help from the employer. There are a number of ways that organisations can make this easier, from in-person or virtual meetings with smaller groups of the team to scheduled one-to-one chats with colleagues, the first few steps can be made more comfortable by promoting an inclusive culture. However, as there are such wide-ranging differences between neurodiverse conditions and individual requirements, employers need to implement policies that are tailored and highly individualised. Creating such policies and programmes can be complex and time-consuming, but it is critical to include your team in this. Ultimately it will boost your bottom line and the array of perspectives and views that are shared within the organisation. Retaining neurodiverse employees Neurodiverse candidates are capable, intelligent and have creative-thinking minds. To ensure their tenure within an organisation is lengthy and successful, we need to support these professionals and equip them with the tools and support they need to thrive. A standardised approach will not satisfy every need, and so it is important that every person in your organisation is accommodated as far as possible. The importance of this could not be clearer, as the BIMA Tech Inclusion & Diversity Report details how neurodivergent employees are more likely to be impacted by poor mental health (84 per cent against 49 per cent for neurotypical workers). This suggests that beyond attracting neurodiverse talent into the organisation, employers need to focus on the quality of the experience within the team. For example, take the time to book in regular meetings between the employee and their line manager. This will ensure that projects run smoothly, and any concerns or questions can be raised in a controlled environment. Listen to your team and their lived experiences to make informed and accurate plans to facilitate their growth within the team. After all, each employee brings a set of unique skills to a company. As more organisations realise the benefits of hiring neurodivergent candidates into their teams, employers have to act quickly to make routes into the business as accessible as possible. Ultimately, hiring neurodiverse people makes complete business sense. We know that diverse teams perform better, so now is the time to step up and tap into the huge pool of neurodiverse data talent. If you’re in the world of Data & Analytics and looking to take a step up or find the next member of your team, we can help. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more.

RELATED Jobs

recently viewed jobs