Liberty Mutual Insurance’s Post

"𝘐𝘯𝘴𝘶𝘳𝘢𝘯𝘤𝘦 𝘪𝘴 𝘢 𝘨𝘳𝘦𝘢𝘵 𝘱𝘭𝘢𝘤𝘦 𝘵𝘰 𝘸𝘰𝘳𝘬 𝘣𝘦𝘤𝘢𝘶𝘴𝘦 𝘰𝘧 𝘵𝘩𝘦 𝘱𝘰𝘵𝘦𝘯𝘵𝘪𝘢𝘭 𝘧𝘰𝘳 𝘪𝘯𝘯𝘰𝘷𝘢𝘵𝘪𝘰𝘯 𝘢𝘯𝘥 𝘶𝘯𝘵𝘢𝘱𝘱𝘦𝘥 𝘢𝘳𝘦𝘢𝘴 𝘧𝘰𝘳 𝘥𝘢𝘵𝘢 𝘶𝘵𝘪𝘭𝘪𝘻𝘢𝘵𝘪𝘰𝘯" D̳i̳s̳c̳u̳s̳s̳i̳o̳n̳ ̳P̳o̳i̳n̳t̳s̳:̳ - Hidden gold in insurance - Pivotal moment, junior to a mid-level data scientist - Seeking mentorship and coaching - The challenges of being a change agent - communication between technical roles and non-technical A huge thank you to Fiifi Arthur for sharing his invaluable advice with us! 🔗 Check out the full insights in our interview! (Link in comments) #evoinspires #Insurance #insurtech #DataScience #CareerAdvice #ProfessionalGrowth #evoinspires

#Collibra Business Analyst/Data Scientist Learning Path has deepened my understanding of various facets of data governance. Explored communities, domains, stewardship, asset, asset types, business glossary, data lineage and data dictionary. #Collibra #datagovernance

People who see their work not just as a duty but as a responsibility go beyond their own expectations. Last weekend, I saw a lady traffic warden pushing a broken-down car on a rainy night. It was causing a traffic jam, and she was giving her 100% to help the driver start the car. She wasn't obliged to do it, but she still tried to help both the driver and the other commuters. She went beyond her job description, and I was moved by her gesture. As a Data Analyst and Architect, I always try to keep this in mind. My duty towards my client might be limited to certain tasks I am hired for, but when I see their data architecture is not robust, or notice things outside my scope that need fixing, I make sure to talk to them about it and try to help. Customer service isn't tough; it's about being considerate and thinking how you would feel if someone made that extra effort to help you or prevent a major problem in your business. #dataanalyst #customerservice #data

I'm excited to share the completion of my latest project as a data analyst! 🎉🚗 After extensive analysis and modeling, I've developed predictive solutions using logistic regression, decision trees, and random forests to anticipate customer interest in vehicle insurance. It's been a rewarding journey leveraging data insights to drive impactful decisions. Stay tuned for more updates on my analytical adventures! #DataAnalytics #InsuranceAnalysis #PredictiveModeling"

Dreaming of a Career Where Your Skills Shape the Future? Step Inside the World of Data Analysts!: https://lttr.ai/ATIc4 #CareerJourney #DataAnalyst #ExhilaratingCrossroads #UniqueRole #AnalyticalMind #UnlockBusinessSecrets #RawDataInterpretation #DataAnalysisSuperhero #DataPuzzleDay #DataAnaunleash

Embrace a new week with these compelling reasons to become a Data Analyst! From high demand to impactful work, the opportunities are endless. Start your journey today! 💼🚀 #NewWeek #DataAnalystAdvantage #dataanalyst #EmblicInstituteofTechnology #EmblicTechnologies

Here is the next part of *Data Vocabulary* Part 02 *Must Use it in your* professional Career to become a legendary *Data Scientist* 🤗🤗🤗 https://lnkd.in/e3MWcxBk #artificialntelligence #dataanalysis #ArtificialIntelligence @followers @highlight @everyone

Meet Ben, our in-house data engineer and resident problem-solver extraordinaire. Ben thrives on tackling the toughest challenges, transforming complex data puzzles into seamless solutions. He can effortlessly piece together the backend magic that keeps everything running smoothly. Ben’s happiest moments? When he’s diving deep into data, making it all click perfectly. #dataengineer #datasolutions #digitalsolutions #datavaluechain

𝐋𝐎𝐎𝐊 𝐛𝐞𝐲𝐨𝐧𝐝 𝐭𝐡𝐞 𝐦𝐚𝐢𝐧 ‘𝐃𝐚𝐭𝐚' 𝐭𝐚𝐠𝐬! Data roles are more diverse than just Data Analyst or Data Scientist. Exploring other roles can lead to more interviews and offers. Here are some titles to consider (I looked around for these prior to landing my current role!) 1. 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐀𝐧𝐚𝐥𝐲𝐬𝐭– Identifies business problems and designs data-driven solutions. 2. 𝐅𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 – Analyzes financial data to guide business decisions. 3. 𝐐𝐮𝐚𝐧𝐭𝐢𝐭𝐚𝐭𝐢𝐯𝐞 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 – Uses stats to model financial systems, often overlapping with data science. 4. 𝐃𝐚𝐭𝐚 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 – Ensures data is accurate, consistent, and regulatory compliant. 7. 𝐂𝐫𝐞𝐝𝐢𝐭 𝐑𝐢𝐬𝐤 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 – Evaluates financial data to assess default risk. 8. 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐀𝐧𝐚𝐥𝐲𝐬𝐭– Analyzes product performance to guide development. 9. 𝐀𝐜𝐭𝐮𝐚𝐫𝐲 – Estimates financial risks, often for insurance companies. Share your thoughts in the comments—let’s uncover even more data roles together.

Should You Become A Data Scientist, Data Analyst Or Data Engineer? In this article, Egor Howell explains the differences and requirements between the various data roles