We're building the definitive online food company, transforming the way the world eats by making hyper-local food more convenient and accessible. We're at the forefront of a industry, powered by our market-leading technology and unrivalled network to bring incredible convenience and selection to our customers. Working at Deliveroo is the perfect environment to build a definitive career, motivated by impact. Firstly, the impact that working here will have on your development, allowing you to grow faster than you might elsewhere; secondly, the impact that you can have on Deliveroo, leaving your mark as we scale; and finally, being part of something bigger, through the impact that we make together in our marketplace and communities. Working as part of our analytics engineering team and reporting to one of our Analytics Engineering Managers, your role will be to provide clean, tested, well-documented and well-modelled data sets, that will enable and empower data scientists and business users alike, via tools like Snowflake and/or Looker.

Data Scientists to join the Data Insights team at Zapier. Data Insights is responsible for driving impactful insight, experimentation, and quantitative research at Zapier. We work across Product, Growth & Revenue, Marketing, and Support, steering our business stakeholders to make data-informed decisions and deepening business understanding of opportunities and risks. Our Data Scientists are semi-embedded into different business zones, developing tight-knit thought partnerships with key stakeholders. We're hiring for a range of zones, so if you are a creative quantitative analyst interested in helping to grow a product that helps the world automate their work so they can get back to living, this may be the right challenge for you!

Plentific is one of the fastest-growing property technology companies in the UK and Germany, with offices in the US and Turkey. Its mission is to improve lives by making property work better for everyone. The platform empowers landlords and property managers to manage their properties and internal trades workforce, source local trade talent, build community cohesion and provide better services than ever before. The end-to-end solution offers a flexible approach to compliance management, repairs reporting and delivery, ensuring landlords and property managers can be confident that their property meets necessary standards. Following a major funding round, Plentific has recently expanded into the US multi-family market and has plans to enter the wider professional and commercial real estate sector in Europe this year.

Tellius, the AI-driven decision intelligence platform, announced a partnership with Looker, a data platform for data teams and data consumers. Through the partnership, the Tellius platform can natively connect to Looker, allowing customers to discover insights at scale and explore their data with natural language based on Looker's unified metrics. "The combination of Looker's developer friendly data platform and Tellius' insights capabilities makes for an easy, end-to-end analytics experience for all" Data-driven organizations continue to struggle to track key performance metrics at a granular level, identify the factors that cause metrics to change, and determine how to best act on information presented in business intelligence dashboards. To help mitigate these challenges, Looker enables organizations to build their own data platforms and power analytics experiences from diverse sources, eliminating the complexity of data models. Similarly, Tellius gives business users, analysts, and data experts a fast, simplified, and collaborative way to discover insights assisted by AI, visualize enterprise data using natural language, and automate machine learning across all of their business data.

I mentioned in my preview of the Google Data Cloud Summit this week that I was expecting some exciting technology announcements for AI, machine learning, data management, and analytics. Google did not disappoint in that department. The Google Cloud stated mission is to accelerate every organization's ability to transform through data-powered innovation. A theme that should come as no surprise to anyone, but in Google's case, supported by a slew of new technologies and innovations. In this article, I will unpack and analyze some of the announcements from this busy week.

Excel is perhaps the most well known data analysis tool out there. It's used to store and organize data such as sales numbers, profit rates, expenditures or revenues. Some businesses even use it to store text data. However, Excel is unable to organize text data without the help of machine learning. Machine learning algorithms can automatically analyze hundreds and thousands of rows of text data in a fast, consistent and scalable way. In other words, machine learning algorithms are able to quantify words and phrases in Excel, by assigning topics, keywords, entities, and even sentiment to each row of text.

Dialpad, the only cloud-native business communications platform powered by Voice Intelligence (Vi), recently announced that Jen Grant has joined the company's Board of Directors. The announcement comes as Dialpad continues to see rapid growth as the demand for remote work tools rises with changing business needs worldwide. "We are seeing remote work on the rise everywhere, and we don't expect to see that diminish even after offices start to open up," said Jen Grant, Chief Executive Officer of Turbo Systems. "Now, more than ever, people need the right work-from-anywhere tools, and I'm excited to be a part of the movement with Dialpad." Built in the cloud, Dialpad does not require on-premise servers, storage or hardwired phones, freeing customers to connect and communicate from anywhere.

Biggest deal of the year: Salesforce buys Tableau. At $15.7 billion, this one takes the size prize. The critics says it's just Salesforce buying revenue. I agree it's not as synergistic as it could be and they'll have to work out overlaps, but as I point out in this blog, Salesforce is the one acquiring company that tends to retain the leadership and culture of the companies it acquires. Tableau has a unique culture, as is always apparent at the annual Tableau Conference, and if the acquirer can't retain that vibe, they'll lose the value of the company.

The number of enterprises implementing artificial intelligence (AI) has grown 270 per cent over the past four years and has tripled in the past year alone. And as companies become more comfortable with using AI to analyse data, a growing number are turning to acquisitions to gain a data advantage. Google and Salesforce provide two recent examples of this strategy. In June, Google spent $2.6 billion to acquire Looker, a data discovery and analytics startup. Looker's goal was to be an end-to-end analytics platform, able to connect, collect, analyse and visualise data across various databases and applications. In August, Salesforce completed its $15.7 billion acquisition of Tableau Software, a provider of data visualisation and analytics.

We're looking for a Senior Data Analyst to join the Decision Science team at Zapier, with a focus on either Marketing data or Product & Revenue data. Decision Science & Analytics is responsible for driving data insights, experimentation and quantitative research at Zapier. We work across Product & Revenue, Marketing, Finance and Customer Support, steering our business stakeholders to take data-informed decisions and deepening business understanding of opportunities and weaknesses. Data Analysts in Decision Science are semi-embedded into different business zones, developing tight-knit thought partnerships with key stakeholders. If you are a creative Data Analyst interested in helping to grow a product that helps the world automate their work so they can get back to living, this may be the right challenge for you!