Codesphere’s Post

🚀 *Referral Alert* 🚀 Exciting news! TrueBlue is looking for talented Financial Analysts and Senior Financial Analysts. If you or someone you know is interested in these roles, I'd love to connect! Feel free to DM me on LinkedIn and share your resume. #Hiring #FinancialAnalyst #CareerOpportunity #TrueBlue #Referral

#ClydeCo are hiring for not 1... but 2 Business Analysts!✨ Are you passionate about translating user needs into impactful design solutions? We’re seeking 2 talented Business Analysts to play a pivotal role here at Clyde & Co. Here’s what you’ll do: 1.User-Centric Design: Bridge the gap between end users and practical design specifications. 2.Collaboration: Work closely with business stakeholders to create 3-year tech roadmaps. 3.Value Creation: Identify enterprise solutions that benefit clients and drive growth. 4.Problem-Solving: Use independent judgment to tackle complex issues. 5.Mentorship: Guide others through challenging tech matters. If you thrive on innovation, problem-solving, and teamwork, we’d love to hear from you! 🚀 If you're interested in finding out more, you can view and apply to the role here: https://lnkd.in/gRyTarJS Alternatively, drop me a message! ✉ #Glasgow #Manchester #BusinessAnalyst

𝐄𝐱𝐜𝐢𝐭𝐢𝐧𝐠 𝐂𝐚𝐫𝐞𝐞𝐫 𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐢𝐞𝐬 𝐢𝐧 𝐭𝐡𝐞 𝐅𝐢𝐧𝐚𝐧𝐜𝐞 𝐃𝐨𝐦𝐚𝐢𝐧 𝐟𝐨𝐫 𝐃𝐚𝐭𝐚 𝐄𝐧𝐭𝐡𝐮𝐬𝐢𝐚𝐬𝐭𝐬! Are you passionate about data and looking to build a career in the finance industry? A Data Analyst role is a fantastic start, but there are several other exciting job roles that are similar and offer great opportunities for growth! Here are some key roles you should consider: 𝟏. 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 (𝐁𝐈) 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 : Turn data into actionable insights and help businesses make informed decisions. 𝟐. 𝐅𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 : Analyze financial data to forecast trends, develop models, and support strategic decisions. 𝟑. 𝐑𝐢𝐬𝐤 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 : Identify and assess potential risks, and develop strategies to mitigate them. 𝟒. 𝐐𝐮𝐚𝐧𝐭𝐢𝐭𝐚𝐭𝐢𝐯𝐞 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 (𝐐𝐮𝐚𝐧𝐭) : Use mathematical models to develop trading strategies and assess financial risks. 𝟓. 𝐅𝐫𝐚𝐮𝐝 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 : Detect and prevent fraudulent activities by analyzing transaction data and patterns. 𝟔. 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭 : Dive deeper into data analysis, leveraging advanced techniques like machine learning to solve complex problems. 𝟕. 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 : Ensure that financial practices adhere to regulations and internal policies by analyzing data and conducting audits. 𝟖. 𝐂𝐫𝐞𝐝𝐢𝐭 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 : Evaluate the creditworthiness of individuals or businesses by analyzing financial data. 𝟗. 𝐌𝐚𝐫𝐤𝐞𝐭 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 : Study market conditions to assess potential sales of a product or service, using data to drive business strategy. 𝟏𝟎. 𝐈𝐧𝐯𝐞𝐬𝐭𝐦𝐞𝐧𝐭 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 : Analyze economic trends, industries, and companies to provide investment recommendations. Each of these roles offers a unique perspective on how data can drive decision-making in finance. Whether you're just starting or looking to pivot your career, there's a data-centric role in finance waiting for you! #DataAnalytics #FinanceCareers #CareerGrowth #FinancialAnalyst #DataScience #RiskManagement #FinTech #JPMorgan #GoldmanSachs #BankofAmerica #WellsFargo #MorganStanley #PayPal #Cred

✏ How to Write an Outstanding Job Posting on LinkedIn ✏ 1. Craft a Compelling Headline: Catch attention with a clear, concise title that highlights the role and level (e.g., "Experienced Financial Analyst" vs. just "Financial Analyst"). Adding descriptors like "Remote" or "Growth Opportunity" can also spark interest from the right candidates. 2. Highlight Key Responsibilities & Growth Opportunities: Give potential candidates a snapshot of day-to-day tasks and the long-term impact of the role. Instead of simply listing duties, show how the role contributes to the company’s success and what skills it can help them build. 3. Add LinkedIn-Specific Keywords for Better Reach: Using targeted keywords like "Financial Strategy," "Data Analytics," or "Leadership" makes the posting more searchable. This not only attracts skilled applicants but also helps LinkedIn’s algorithm suggest your post to relevant job-seekers. #JobPostingTips #LinkedInRecruiting #UpendoStaffing #LoveWhatYouDo #jobs #talent #work #hiring

📈🚀 Seeking a Finance/Data Analyst? Look No Further! 🧮😅 Are you in dire need of a finance/data analyst who can balance your books and your office humor? Well, you're in luck! Our ideal candidate is someone who: 📊 Speaks fluent Excel, Python, and SQL (and can probably have a conversation with your database). 🕵️♂️ Can find insights in data faster than you can find your missing socks. 🔍 Has a sixth sense for spotting financial trends (some say they might be part financial wizard). 📅 Can manage budgets, forecasts, and even their fantasy football team with equal finesse. Bonus points if they can: 💡 Explain complex financial concepts in a way that even your dog could understand. 🧩 Solve puzzles for fun because they think of data analysis as the ultimate puzzle. 🎉 Bring a bit of levity to the office—because who said number crunching can't be fun? If you're looking to turn your piles of data into actionable insights and your financial woes into wins, reach out today! Because the right analyst can make all the difference (and might even make you laugh along the way). #Hiring #Finance #DataAnalysis #ExcelNinja #WorkplaceHumor

✏ How to Write an Outstanding Job Posting on LinkedIn ✏ 1. Craft a Compelling Headline: Catch attention with a clear, concise title that highlights the role and level (e.g., "Experienced Financial Analyst" vs. just "Financial Analyst"). Adding descriptors like "Remote" or "Growth Opportunity" can also spark interest from the right candidates. 2. Highlight Key Responsibilities & Growth Opportunities: Give potential candidates a snapshot of day-to-day tasks and the long-term impact of the role. Instead of simply listing duties, show how the role contributes to the company’s success and what skills it can help them build. 3. Add LinkedIn-Specific Keywords for Better Reach: Using targeted keywords like "Financial Strategy," "Data Analytics," or "Leadership" makes the posting more searchable. This not only attracts skilled applicants but also helps LinkedIn’s algorithm suggest your post to relevant job-seekers. #JobPostingTips #LinkedInRecruiting #UpendoStaffing #LoveWhatYouDo #jobs #talent #work #hiring

Building a winning FP&A team goes beyond just finance skills. Here's how to hire for impact and strategic growth.

Executives that haven't hired #Finance or #RevOps or #businessIntelligence positions in a long time are getting serious sticker shock from how the market has moved. As a result they are cutting out Junior analysts and focusing on outcomes. I'm seeing a lot go to agencies/ fractional (similar to what we see in Marketing, Accounting, etc.). Wonder if anyone has some solid data around hiring to back it up (or refute it).

Hey, 5 months into Fourthline, we have a brand new data strategy and the data team is busy building robust data ingesting pipelines, new data transformation pipelines & data science products. We're missing 2 senior data analysts in the data team and so I'm hiring 😁 https://lnkd.in/ep8uV-5c The vision for data analytics is to 1. translate data -> insights -> decisions taken -> $$$ 2. enable self-service analytics across the business 3. to do the above, also own the data transformation data pipelines Apply if the vision resonates, you live in the Netherlands, you want to do impactful work for a promising scale-up with good work-life balance, you're quick at analytics & you value fun colleagues. What does FL do? Fourthline's mission is to fight financial crime as the new standard in identity verification having verified millions of identities for banks and leading fintech companies gracefully balancing conversion and compliance. We do that by employing our propriety computer vision AI models and fraud ML models. P.S. No, this is not an invitation for recruitment agencies to message me #hiring #seniordataanalyst #dataanalyst #datastrategy #identityverification #fintech #Netherlands

#CRE analysts are typically constrained by just one thing. Time. In order to do a good job, an analyst must spend time attending to project details. Research, data entry, financial modeling, sensitivity analysis, etc. With practice, the analyst compresses the amount of time required to do a serviceable job and expands his capacity to handle a larger deal flow. This is a function of the analyst's muscle memory in operating processes and building analytical tools. It's all about the systems. And the biggest asset in any analyst's systems toolset is his #financialmodel. It's the bedrock of his job. In my estimation, an analyst in the early stages of his employment should spend almost all his time designing and developing his model in line with his employer's (or client's) thesis. Eventually, there will be an inflection point after which the analyst will spend more time operating the model than programming it. The more time the analyst spends prior to this inflection point, the more capacity he will be able to handle during the portion of his time he spends operating the model. Eventually, this ratio may become more like 20/80, as the model becomes so battle-hardened that it's ready for almost anything the analyst throws at it. The ultimate goal should be equilibrium: a relatively stable ratio between time spent working on programming the model (future capacity) and time spent operating the model (current capacity) such that deal flow is maximized. ------------ Hi, I'm Stephon Smith. If you appreciate content about #commercialrealestate finance, #financialmodeling, or #Excel, please follow my page. If you're a CRE professional who needs to hire an analyst (or several), please drop me a comment or a DM. I can help.