Career Series: Data Analytics
16 April 2024, 6.30-8.30pm BST
Please note: This event is an offline, in-person gathering, and we will not be offering a virtual attendance option.
ABOUT
In a digital age where data reigns supreme, understanding its intricacies and harnessing its power is key to driving innovation and success. Join us for an insightful evening as the She Loves Data U.K + Ireland Chapter, in collaboration with Frank Recruitment Group, continues our Career Series with a focus on Data Analytics. Our esteemed panel of women working in the field will share their personal journeys, insights, and experiences navigating the dynamic world of Data Analytics. From unravelling complex datasets to deriving actionable insights, our panellists will delve into the diverse applications of data analytics across industries, shedding light on its pivotal role in driving strategic decision-making and business transformation. Discover how our panellists carved (and continue to develop) paths in this exciting domain, overcoming challenges and seizing opportunities along the way. Gain valuable perspectives on the evolving landscape of Data Analytics, including emerging trends, required skills, and the evolving role of analytics professionals in today’s digital economy. Whether you’re an aspiring data enthusiast, a seasoned professional looking to expand your skill set, or simply curious about the intersection of data, technology and business, this event offers a unique opportunity to learn more about how you can gain the skills to ‘break-into’ Data Analytics and what recruiters are looking for in 2024.
Save your questions and come along to ask our panel in-person!
This event is perfect for those interested in: – Data Analytics – Exploring careers in data/tech industry – Connecting with industry peers and mentors and expanding your network We look forward to welcoming you!
SPEAKERS
With over 20 years recruitment experience across multiple sectors, Katherine is one of the most experienced recruitment leaders in the UK market. After graduating with a 2:1 from the University of Birmingham in Social Policy & Politics, Katherine moved straight into a career in recruitment. In senior business development roles across offices in London and the South East, Katherine had a successful recruitment career at Hays focusing on Finance, Audit, Compliance & Risk hiring. After having her wonderful children, now 9 and 12, she moved to grow an interim and consulting practice for a Legal Risk & Compliance boutique recruitment firm, the Danos Group. She was made Partner within 15 months, moved into a global business development role and launched her practice across the US and APAC. After some wonderful gardening leave last year, Katherine joined the Frank Recruitment Group in December 2022. For the first year at FRG, she ran the salesforce recruitment division, Mason Frank and is now Director of Client Development focusing on SME end user and partner growth as well as development of our corporate, account managed, recruitment solutions.
Maria Clara is a biologist by training, starting her career with a BSc in Biological Sciences from UCL, then moving onto a Master of Research in Biodiversity, Evolution and Conservation also at UCL in conjunction with the Natural History Museum and the Zoological Society of London. After working as a researcher at the Woods Hole Oceanographic Institution in the USA, Maria then went on to start a PhD at the University of St Andrews looking at the interactions between offshore energy structures, commercial fisheries and marine predators. As part of her PhD, Maria works with a variety of spatial and satellite data, building statistical models and publishing in high impact journals. Maria then took a leave of absence from her PhD to explore a new sector in which she could apply her data analytics and data science experience and she started an internship at The Biodiversity Consultancy, Cambridge, where she is at now. Maria is excited about opportunities to apply her coding, data analytics and data sciences skills to environmental and climate data which can have a true influence on reducing our impacts on the planet.
Prathy is a director at Avanade who specialises in Power BI and Azure data solutions. She loves working with Microsoft Fabric, a cutting-edge technology that lets her create custom and high-quality BI systems with the Microsoft BI platform. She cares about design and user experience, which makes her BI solutions look great and easy to use. She works with clients from various sectors and industries, helping them to make smarter decisions based on data. Prathy is also a keen BI community member, writing regularly at prathy.com about Power BI and other BI topics. She likes to share what she knows and learns with other BI fans through her participation in the London Fabric User Group, and her talks at events like SQLBits, Microsoft Business Applications Summit, SQL Saturdays and Local User groups. She is a Microsoft Data Platform MVP, a prestigious award that acknowledges her contributions to the BI field.
Diksha Bhardwaj brings nearly a decade of experience in data analytics and product management, driven by a genuine passion for innovation. Currently, she navigates the dynamic landscape of Philip Morris International, focusing on crafting machine learning models and predictive analytics solutions to fuel business growth and enhance stakeholder engagement. Outside her corporate role, she proudly serves as a Founding Member at Women in Product UK, advocating for women in the product space.
5.Moderator 1 : Romy Smith
Registration for in-person tickets closes on Monday 15th April at 23:59. Limited tickets available.
By registering you understand that the details you provide during the registration process will be collected and used by She Loves Data. Photographs and/or videos may be taken at the event. By taking part in this event you grant the event organizers full rights to use the images resulting from the photography/video filming, and any reproductions or adaptations of the images for publicity and/or marketing purposes. This might include (but is not limited to), the right to use them in their printed and online publicity materials, social media, and press releases.
Data and Analytics: Key trends in 2023 driving new growth, efficiency and innovation in organizations
Data and analytics: Key trends in 2023 driving new growth, efficiency and innovation in organizations
As many businesses continue to find ways to optimize their operations and drive growth, data and analytics continue to be an area of investment. Organizations will continue putting in resources to ensure that they are equipped with the right infrastructure, tools and skill sets to anticipate market changes, respond and pivot accordingly, and transform uncertainties into opportunities for their businesses.
Understanding the top trends in data and analytics technology and practices therefore becomes imperative for organizations to stay ahead of the game. And whether you are a data-driven leader of your organization or team member looking to add value to what your organizations are doing, staying on top of these trends will serve you in what you do.
Artificial Intelligence (AI) and Machine Learning (ML)
As artificial intelligence (AI) and machine learning (ML) mature, so do its applications in data analytics. The use of AI and ML in data analytics help drive efficiencies in analyzing large sets of data, helping provide more accurate and insightful predictions and recommendations at a scale and speed. AI-powered algorithms can help organizations automate data analysis, uncover hidden patterns and insights, and make more informed decisions.
As more organizations across industries ramp up their search for highly skilled data analytics, AI and ML professionals, building your knowledge and capabilities in this areas can help you stay relevant and marketable. In May, She Loves Data is collaborating with Databricks to run a session on the topic of The Future of Open AI for Individuals and Professionals where we will chat with industry experts on AI revolution to discover the limitless possibilities & see how the evolution of open AI will change and impact our professional and personal lives.
Cloud-based analytics
Another trend that is pervasive in the data analytics space is cloud-based analytics, which refers to the manipulation and analysis of data that happens on the cloud instead of in an on-premises system. Analytics systems hosted in the cloud enable users to access, aggregate, analyze and utilize larger sets of data from across the organizations, subject to access and permissions control.
There are already many existing use cases for cloud-based analytics and this will continue to grow. Whether you are a marketer looking to analyze your customers’ purchase behaviours, a finance professional looking to analyze financial market data, or an ESG consultant wanting to gain insights into your client’s sustainability practices, cloud-based analytics enables additional sharing and collaboration, improved security, lower costs and tremendous scalability.
Data democratization
Data democratization refers to the process of making data more accessible to all employees within an organization. This trend is driven by the recognition that insights can come from any part of an organization, and that empowering all employees with data can lead to better decision-making.
According to The Data Warehousing Institute, in 2023, one of the most significant shift that the industry will see in 2023 is a push for more democratization in the data analytics space. Every data-driven company must realize that if they are to achieve the company-wide insights to drive operational efficiencies and growth, they need to make data and analytics tools accessible to more users.
According to Rohit Amarnath, CTO of Vertica and a Forbes Council Member, the “self-service” or “democratized” analytics model will become a “holy grail” standard that data practitioners will continue to strive for in 2023. This model, where all business units (even non-technical ones) will have access to data and intelligent insights, can be hard to set up and scale. But that should not mean organizations should not move ahead with democratizing the data and analytics. Cloud architectures, on-demand analytics platforms, continue to grow and deliver functionality to meet the demand.
What can this potentially mean for you? No matter your role and level of seniority in the organization, upskilling yourself to understand how to operate the analytics tools and make sense of the data will be key to stay relevant.
Data storytelling
Data storytelling is the practice of using data to tell a compelling story. It involves combining data with visualization and narrative to create a compelling and engaging story that helps decision-makers understand complex data sets.
As data and analytics gets democratized, the ability to make sense of data and tell a story from those insights will be critical for anyone operating in data-driven organizations. According to Harvard Business School, many companies have begun including data storytelling as a required skill in analyst job descriptions, while others have created specific roles and are hiring for data storyteller positions to supplement their existing analytics teams’ abilities. Having the skills to both analyze data and communicate its insights will make you a much sought-after talent in today’s data-driven environment.
As the data & analytics space continue to evolve and grow, so too will the kind of roles and skill sets that organizations will need to help them address their most pressing business challenges. Keeping yourself on top of the latest trends in the space and finding opportunities to upskill yourself in this area will help you stay ahead of the curve while making yourself a valuable asset for your organizations.
Intro to Data 1: Data Foundation
Sign up now for this FREE She Loves Data Signature Event. Learn the foundation of data analytics. Prior programming knowledge not required!
