The Ownership Works team is growing! We have two exciting new open roles: ➡ Senior Director – Advancement The Senior Director, Advancement will be stepping into a well-resourced and well-run advancement operation with extraordinary potential. O.W. has regular engagements with and inquiries from CEOs and business leaders across the corporate sector. O.W. has many industry-leading champions and/or prospects already in our network seeking to get more involved. In addition, the nonprofit has not yet had the bandwidth to expand our foundation support despite demonstrated interest and alignment. Growing our Board giving and HNWI and foundation support will be key priority areas for this leader and the Advancement team over the next several years. Apply: https://lnkd.in/df7pMnuG. ➡ Data Architect The Data Architect will be responsible for designing and building O.W.’s data architecture for data storage, transformation, and reporting. This will require developing new operating models, processes, and tools with a focus on effective management of our data assets. In addition, the Data Architect will analyze programmatic data and develop reports on results, as well as address ongoing enhancements to processes and tools. Apply: https://lnkd.in/dPj34AK6. Ownership Works is always looking for candidates who share our passion for #employeeownership. If you know someone who might be a good fit for either of these roles, please share these job listings within your network. Find more opportunities at Ownership Works: https://lnkd.in/eBC32S8x.
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Master Student - Global Trade Management|| Data Analyst || Committed Philanthropist || Founder @ ARHF|| Falling Walls Lab Nominee 🇩🇪
Let's do a little introduction, shall we? Allow me to introduce myself! I'm Jennifer Coffie, and I'm passionate about numbers, data, and making a positive difference. With a background in accounting and a strong interest in data analysis, I bring a unique set of skills and perspectives to the table. I started my career in accounting, focusing on; - Financial management. - Compliance. - Budgeting. Working with diverse teams and clients, I helped them navigate financial challenges and achieve their objectives. Now, driven by curiosity, I'm exploring the field of data analysis. Aspiring to be a data analyst, I aim to use data to; - Uncover insights. - Make informed decisions. - Create meaningful change. Whether it's analyzing data, identifying trends, or building models, I'm passionate about using data to drive success. Outside of work, I'm dedicated to giving back to the community. As a philanthropist, I support causes I care about through; - Volunteering, - Fundraising, and - Advocacy. Through my philanthropic efforts, I have been able to make a meaningful impact in the lives of those who need it the most. By connecting with me, you'll find; - A committed professional. - A collaborative partner, and - An advocate for positive change. I'm excited to engage with like-minded individuals, share knowledge, and discover new opportunities together. Let's start this journey of growth, learning, and impact together. #reaperscohort1.0 #21dayconsistencychallengewithcynthia
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YES!! Only reacting to data is as bad as only reacting to market trends and factors. It's a dumb way to run a business. Look ahead. #datarogue #datainsights #dataanalytics
Author of Effective Data Storytelling | Founder + Chief Data Storyteller at AnalyticsHero, LLC | Forbes Contributor
Jack Welch, former CEO of General Electric, said, “Change before you have to.” I want to apply the same lesson to data. I say, “Look at data before you have to.” One sign of a solid #dataculture is the commitment to using data even when things are going well. Throughout my #analytics consulting career, I’ve worked with various organizations at different stages in their data journeys. I’ve found some organizations don’t worry about the numbers until they have to when a crisis emerges. Interestingly, if they had been paying closer attention to the numbers all along, they might have been able to catch issues sooner and avoid these reactive situations. A friend of mine manages the analytics team at a successful, highly profitable company. It has been difficult for him to get people to care about data when the business appears to be running smoothly. Unfortunately, the lack of interest or focus on data can lead to the following problems: 👉 Missed opportunities: Even though you’re successful, you may not be taking full advantage of your market opportunities (“leaving something on the table”). If you’re successful without data, think about how much MORE successful you could be with it. 👉 Missing data: In an emergency, you may discover you haven’t been collecting the right information. In most cases, you must be deliberate and strategic about what data you collect. Delays in collecting and accessing the right data will only exacerbate an emergency. 👉 Missing data talent/skills: If nobody has cared about the numbers for a while, it’s unlikely that your organization will have adequate data skills and analytics staffing to respond to serious problems when they emerge. Your organization will lack the analytical talent to analyze and solve problems. Business teams will also be unaccustomed to translating analysis findings into action. No matter how recession-proof, fast-growing, or market-leading your business is, it pays to stay focused on the numbers. Even if you believe your organization will be insulated from market pressures that will hurt your competitors or other businesses, you may miss out on opportunities to seize market share or strengthen your business long-term. If you’re struggling to get business leaders and teams to pay more attention to the numbers, consider crafting and telling data stories. While getting people to use your dashboards or reports may be challenging, everyone loves a good story, especially when it can help them drive more success. #Datastorytelling can be instrumental in helping you create a more robust data culture. Check out my whitepaper on how to use data storytelling in this manner: https://lnkd.in/eRCBx8_M How have you been able to get more people to care about data?
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President of Gabay Research Philippines Inc. | Awarded Researcher of the Year | Mission to help organizations grow through custom market research and expert insight
Words to live by 👌 Whether you're a marketer preparing for that big pitch, a C-Suite exec anticipating a downturn, or a business owner looking to grow - it's best practice to familiarize the data on hand before life forces you to.
Author of Effective Data Storytelling | Founder + Chief Data Storyteller at AnalyticsHero, LLC | Forbes Contributor
Jack Welch, former CEO of General Electric, said, “Change before you have to.” I want to apply the same lesson to data. I say, “Look at data before you have to.” One sign of a solid #dataculture is the commitment to using data even when things are going well. Throughout my #analytics consulting career, I’ve worked with various organizations at different stages in their data journeys. I’ve found some organizations don’t worry about the numbers until they have to when a crisis emerges. Interestingly, if they had been paying closer attention to the numbers all along, they might have been able to catch issues sooner and avoid these reactive situations. A friend of mine manages the analytics team at a successful, highly profitable company. It has been difficult for him to get people to care about data when the business appears to be running smoothly. Unfortunately, the lack of interest or focus on data can lead to the following problems: 👉 Missed opportunities: Even though you’re successful, you may not be taking full advantage of your market opportunities (“leaving something on the table”). If you’re successful without data, think about how much MORE successful you could be with it. 👉 Missing data: In an emergency, you may discover you haven’t been collecting the right information. In most cases, you must be deliberate and strategic about what data you collect. Delays in collecting and accessing the right data will only exacerbate an emergency. 👉 Missing data talent/skills: If nobody has cared about the numbers for a while, it’s unlikely that your organization will have adequate data skills and analytics staffing to respond to serious problems when they emerge. Your organization will lack the analytical talent to analyze and solve problems. Business teams will also be unaccustomed to translating analysis findings into action. No matter how recession-proof, fast-growing, or market-leading your business is, it pays to stay focused on the numbers. Even if you believe your organization will be insulated from market pressures that will hurt your competitors or other businesses, you may miss out on opportunities to seize market share or strengthen your business long-term. If you’re struggling to get business leaders and teams to pay more attention to the numbers, consider crafting and telling data stories. While getting people to use your dashboards or reports may be challenging, everyone loves a good story, especially when it can help them drive more success. #Datastorytelling can be instrumental in helping you create a more robust data culture. Check out my whitepaper on how to use data storytelling in this manner: https://lnkd.in/eRCBx8_M How have you been able to get more people to care about data?
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Tech-agnostic is not just a buzzword to us at The Patrick J. McGovern Foundation. It's core to how we work. We strive to be responsive, not prescriptive, when it comes to #nonprofit #data needs. We aim to be a trusted arbiter of #tech resources, never leading with technology as a condition of our support and striving for data toolkits that are dynamic to the rapid pace of innovation. As the #datascience technical lead on the Data Practice team at PJMF, this means staying current with data trends, analytical approaches and their limitations, and tools of most interest and value to our partners. We prepare to take the long view so that today's data project can inform tomorrow's data practice. We're keeping that at the forefront of our minds with a new program, the Transform Design Hive, which is an opportunity for groups of #nonprofits keen to scale promising data strategies for #socialimpact through data #collaboration across their organizations. The application window is open through September 15, 2023. Read more about the program and apply here: https://lnkd.in/gfqEZfZk. Nikita Japra, MA, MPH, Alisa Orlowsky, Dan Bernstein
Transform
https://www.mcgovern.org
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Greetings esteemed colleagues! 🌟 I am thrilled to present my inaugural project during my tenure at Mentorness , focusing on 'Sales Analysis.' This endeavor showcases my adeptness in leveraging SQL to dissect multifaceted business quandaries, thereby contributing to informed decision-making processes. Here are some key highlights: 1. Comprehensive Database Utilization: 📊 The project delves into the analysis of a database comprising five intricate entities, demonstrating my proficiency in navigating complex datasets. 2. Solution-Oriented Approach: 💡 Through real-time business scenarios, I meticulously tackled diverse challenges, underscoring my ability to translate theoretical knowledge into pragmatic solutions. 3. Mastery of SQL: 💻 The project served as a crucible for honing my SQL skills to meet the rigorous demands of the industry, fostering a deep-seated understanding of its applications in real-world contexts. 4. Intrinsic Motivation: 🔥 The experience proved both intellectually stimulating and motivational, igniting a fervent desire to delve even deeper into the realm of data analysis. I am eager to embark on more ambitious ventures, further empowering organizations to make data-driven decisions. This project epitomizes my commitment to excellence and my unwavering dedication to advancing in the field of data analysis. I look forward to leveraging this foundation to tackle more formidable challenges and make meaningful contributions to Mentorness and beyond. Warm regards, 🌟
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When you transition into data from another career, you can feel like you're behind. You aren't. I transitioned into data from financial services and higher education. I spent 10 years building my financial career. I earned difficult licenses to practice, and developed a strong network. But I wanted to work in data. When I finally transitioned into data, I felt intimidated by the years of experience that my colleagues had. Many of them had spent their entire careers as data professionals. Soon I realized that my experience in financial services and higher education were super powers. I was able to do data work that other data professionals couldn't without relying on a business SME. My industry experience led to being recruited for most of my data jobs. I was able to connect with executive leadership and empathize with their needs because of my prior career. If you are thinking about making the switch to data, do it! You aren't behind. In many ways you are ahead! Here are some inspiring people to follow, who left other industries: Chris French was a teacher Jonathan Smith was a teacher Avery Smith was a chemist Carly Taylor, M.Sc. was a computational chemist Thais Cooke was a dental professional Kelly Adams was a paralegal 🎯 Mark Freeman II was in community health Lauren Rosenthal was an occupational therapist Who else transitioned into data? #data #dataanalytics #dataanalysis
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Really great blog from Data Orchard on data careers in non profits. I particularly like the section on barriers. "There may also be fewer opportunities to learn from others in the organisation, with people often being the only ‘data person’ and therefore having no one to share their workload with. Not being able to confirm with others whether you are doing the right thing can lead to lack of confidence, which can also be a barrier to career progression." This is one of the reasons I set up DIDi, to provide people with a space to build a community of practise amongst us non profit data folks. https://lnkd.in/eRJ8P3rF
Career paths for data folk in nonprofits — Data Orchard
dataorchard.org.uk
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📢 Data IQ 100 Most Influential People in Data 2024, 23, 22 | I Help Organisations To Execute a Compelling Data, Analytics & AI Talent Strategy | Driven by Data: The Podcast, The Roundtable & The Mentorship 📚🎙👨👩👧
It's the Data Leaders fault! 🤐 Most organisations don't achieve the desired value and benefit from D&A projects 💵🤝 That's according to all of the credible research houses, so there is obviously something in it Simply put, the people who sit upstairs and make the decisions have decided that enough is enough and I don't blame them There's only so long an organisation can swallow large investment costs without seeing a credible return before it decides to, at best, stem the tide or at worst, write it off as a failure So, who's to blame? There are many people who are very rightly making the claim that the role of the Data Leader is to deliver value in a business sense, and I absolutely agree! I'd even go as far as to say that because of the situation we find ourselves in, that has become THE responsibility - to deliver tangible "value" However...... What I also see on a daily basis is organisations appointing the wrong people, with the wrong skill-set to deliver value This is driven by the fact that when they search for and hire these people, they're not looking for and assessing the experience, skillset and ability to deliver commercial value through D&A Just take a look at any JD and you'll see a list of technological/infrastructure requirements It's almost like a football (soccer) manager signing a goalkeeper and then playing them as a striker and at the end of the season asking why their goal return is terrible (Nothing to do with defence V offence btw) So, do Data Leaders need to be doing more to move out of the weeds of the tech/data and into the realms of business? Absolutely! But equally, the large majority are set up to fail because what the CEO needs and wants, is wildly different from the skills/experience they search for, assess and ultimately decide to hire on Eddie Short will tell me to get off the fence! The reality is, I agree with everything he says on this topic, however, business leaders also need to take accountability for their hiring decisions At the end of the day, the buck stops with them! 🪙 Equally, it's also on the Data Leader to ask the right questions to understand what the organisation actually wants/needs, and have a moment of self-reflection as to whether they have the skills and experience to deliver that A very hard thing to do when what CEO's want is cold, hard value, but what the JD says and what is tested in the interview process is tech, data and architecture skills.... #data #analytics #leadershiphiring #businessvalue
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Collecting meaningful data is important. The keyword there is meaningful. Data should help you understand what’s working (and under what conditions) so that you can make improvements, adaptations, and decisions, as well as hopefully make your case to potential supporters. I’ve seen a lot of organizations collect data that is not useful. One fear is that they will lose years of baselines and trends. However, if those baselines and trends are not useful, then collecting those data is a waste of resources. Not only that, but it makes people in your organization less interested in using data overall. From their perspective, it has not been helpful in the past. If it’s not useful, stop collecting it. It might be hard to figure out what’s useful and what’s not. For this, I recommend having a data party. Get your collaborators together and review the data you have access to. Ask: What’s helped you gain insights? What might support decision-making? What would potential supporters like to know? Brest, P. (2020). 16. The Outcomes Movement in Philanthropy and the Nonprofit Sector. In The Nonprofit Sector (pp. 381-408). Stanford University Press.
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Douglas Engelbart. Chances are you don’t know of him. But he invented a tool you use every single day. The computer mouse. The point is, no matter how great your past accomplishments are, their attribution to you or their use will fade with time. In data this all too true. Your report will go out of use eventually. Your model will one day not be useful. So, don’t hang your hat on those accomplishments. Celebrate the win you get, soak it in for a bit. Then move forward with your work. Conquer new horizons. Stay nerdy my friends! ------ Hi I'm Joe 👋 I share learning resources for data professionals at all career stages and discuss general musings on data life. Follow and share your thoughts! #datacareers #dataanalysis #dataanalyst
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