Deepak Pal的动态

The Data Analyst Every CEO Wants https://ift.tt/LIsavPy Data Analyst is probably the most underrated job in the data?industry Credits Unsplash With only self-service as the last level in the analytics game, we often underestimate how much an ad-hoc analysis made by someone who understands business AND understands data can be valuable. I got the chance to work with a few in my previous experiences. Still, it’s hard to find these unicorns. The following lines list the top 5 things best to learn and focus on for being the analyst that every CEO should have by his?side. Become a business?master It’s often what we hear. And it’s often?true. Understanding what the business we are in is key to creating value out of the data we gather from that business. The more we get in our brain the easier it will be to make our analysis outcomes positive. How to learn more about the business you’re?in? Chat with everyone. We will take a deeper sight at this one later on in this blog, but it’s a key to getting used to chatting with anyone willing to explain what he’s doing in the company and how it impacts?revenue Go down the customer support. Look at what customers are saying, what their product usage is, and why they crumble. It’s also great, if possible, to be yourself a customer. At least to try the?product. Look at competitors. Do your competitors have the same pricing strategy? Do they have the same team structure? What are the key differentiators between you and?them? Once you have a good concrete knowledge of the business, go down the theory?highway. What makes a B2B company a success? What are the choices to be made (for example, “quality or quantity”)? What are the different revenue strategies possible in your business? What’s ARPU? What’s LTV? What’s?SAC? Data scientists and analysts aren’t typically tasked with reporting financial metrics. Billings, MRR, EBITDA, debt-to-sales ratio, or bookings fall under the accounting and finance umbrella (thank God). We work with transactions, subscriptions, purchases, and funnel conversions, and it’s often quite a challenge to map total subscriptions to ARR or new transactions to net new revenue. It requires so much nuance and context.?(1) The theory here is often overlooked as the practical business stories you get daily thanks to stakeholders and colleagues seem enough. It’s actually the beginning. When you learn about business theory, be it B2B or B2C, there a tons of ideas that will confront the business you’re?in. While most of the learning won’t apply to the current business, you’ll have better problem-space understanding and so a better capacity to adapt to specific cases and the evolution of the business. Taking on this challenge will demonstrate your growing maturity and ability to manage complex situations, which will inspire confidence from your stakeholders. A knowledgeable data analyst, even surpassing the stakeholder’s own expertise, can be a major asset for the company. Be...

SQL Aggregate functions are critical for efficient data analysis! Thanks for putting this information together Mithilesh Yadav! #sql #data #dataanalysis #datavalidation #learning #knowledge

?? ?????? ?????????????????? ?????????????????? ???????? ???????????? ?????? ???????? ????????????????! ?? ??????, ???????????????? ????????????! ?? As data analysts, mastering SQL is a game changer! Today, let's explore SQL aggregate functions, which are essential for summarizing data. ?? ?? ???????? ?????? ?????????????????? ??????????????????? In SQL, aggregate functions are used to perform calculations on multiple rows and return a single result. They help in analyzing and reporting data quickly! ? ?????? ?????? ?????????????????? ??????????????????? ?????????????????????? ?????????????????? ????????. ???????? ???????????????? ???????? ???????????? ?????? ????????????????. ???????? ???????????? ???????????????? ??????????????????. ?? As a Data Analyst, mastering these functions will boost your efficiency and help you unlock meaningful insights from data. Make sure to practice them regularly! ?????’???? ???? ?????????????? ?? ?????? ???????? ?????? ?????? ?????? ???????????? – ???????? ???????? ???? ???????????????? ???? ?????? ?????????? ???? ???????? ???????? ??????????????! ?? Best of luck, and keep mastering those SQL skills! ?? ?? ????????’?? ???????? ????-???? ?????????????? ???? ??????? ??????’?? ?????????????? ???????? ???????????????? ?????? ???????? ?????? ???????????? ???? ?????? ???????????????? ??????????! Abhishek Bachche Anchal Singh Mayuri Dandekar Ankita Yadav Rajashekar . Sakshi Yadav Akashdeep Dam Bigyandutt P. Anish Chakravorty #SQL #DataAnalysis #AggregateFunctions #DataAnalytics #SQLTips #DataAnalyst #LearningSQL

?? Cheers to a Data-Driven 2025! ?? As we step into this new year, I can’t help but reflect on the pivotal role data plays in shaping the insurance industry. Working as a Senior Data Analyst, I’ve seen firsthand how tools like Tableau, Power BI, SQL, Pentaho, and a focus on client management help us bridge the gap between raw numbers and actionable insights. Here’s what 2025 can mean for us in data and analytics: ?? From Numbers to Narratives: Data visualization isn’t just charts—it’s storytelling. A single dashboard can change how we make decisions. ?? Automation & Efficiency: ETL tools and SQL workflows can help us spend less time wrangling data and more time interpreting it. ?? Client-Centric Insights: Data-driven decision-making isn’t just for internal stakeholders—it’s a tool to deliver better services and experiences to clients. ?? My 2025 Goals: 1?? Create more intuitive dashboards that simplify complex data. 2?? Explore predictive analytics to anticipate trends. 3?? Share knowledge with my network to grow collectively. Let’s make this post a two-way conversation! ?? ?? What’s your one big data goal for 2025? ?? Which tools or strategies are you excited to learn or improve this year? Drop your thoughts in the comments, and let’s grow together as a community of data enthusiasts. Here's to a year filled with impactful insights and innovative solutions! #DataAnalytics #InsuranceIndustry #Tableau #PowerBI #SQL #Pentaho #NewYear2025 #LetsGrowTogether #DataInnovation

The Power of Timing as a Data Analyst As data analysts, our ability to deliver value often hinges on timing. It’s not just about what we analyze, but when we deliver insights that drive impactful decisions. Here’s how timing plays a critical role in our work: 1?? Meeting Deadlines: Insights lose value if delivered too late. Prioritize tasks to align with business needs and hit deadlines consistently. 2?? Real-Time Analysis: In fast-paced industries, analyzing live data (e.g., customer trends or market movements) can give businesses a competitive edge. Tools like Tableau and Power BI are game-changers here. 3?? Business Cycles: Timing analysis around key events,like quarterly reviews, annual planning, or seasonal campaigns,ensures your insights are actionable when they matter most. 4?? Data Freshness: Insights are only as good as the data behind them. Automate workflows and keep datasets updated using ETL tools like Apache Airflow or scheduling systems like Cron jobs. 5?? Timely Communication: Deliver findings when decision-makers are most receptive,before strategy meetings or during critical planning phases. ?? Pro Tip: Set up automated alerts or dashboards to monitor KPIs and anomalies in real-time. This ensures your team stays ahead of the curve. Mastering timing isn’t just a technical skill,it’s a strategic one. What’s your approach to managing time-sensitive analysis? Let’s discuss! #BECOMPETENT #MRCOMPETENT BECOMPETENT

Aspiring data analysts, understanding DAX date functions in Power BI is crucial for unlocking deeper insights. Here's a quick cheat sheet to get you started: ?? CALENDAR: Create a date range table. CALENDAR(DATE(2023, 1, 1), DATE(2023, 12, 31)) ?? CALENDARAUTO: Generate a date table automatically. CALENDARAUTO() ?? DATE: Create a date from year, month, and day. DATE(2023, 7, 30) ?? DATEDIFF: Calculate the difference between two dates. DATEDIFF(DATE(2023, 1, 1), DATE(2023, 12, 31), ?? DATEVALUE: Convert a date in text format to a date. DATEVALUE("2023-07-30") ?? DAY: Extract the day from a date. DAY(DATE(2023, 7, 30)) ?? EOMonth: Get the last day of the month. EOMONTH(DATE(2023, 1, 1), 1) ?? HOUR: Extract the hour from a date-time. HOUR(NOW()) ?? MINUTE: Extract the minute from a date-time. MINUTE(NOW()) ?? SECOND: Extract the second from a date-time. SECOND(NOW()) ?? NOW: Get the current date and time. NOW() ?? QUARTER: Extract the quarter from a date. QUARTER(DATE(2023, 7, 30)) ?? WEEKDAY: Extract the weekday from a date. WEEKDAY(DATE(2023, 7, 30)) ?? WEEKNUM: Extract the week number from a date. WEEKNUM(DATE(2023, 7, 30)) ?? YEAR: Extract the year from a date. YEAR(DATE(2023, 7, 30)) ?? YEARFRAC: Calculate the fraction of the year between two dates. YEARFRAC(DATE(2023, 1, 1), DATE(2023, 7, 30)) Master these functions to elevate your data analysis skills! ???? #PowerBI #DAX #DataAnalysis #DateFunctions #DataAnalyst #DataAnalytics #AspiringDataAnalyst

“The Chronicles of a Data Analyst: Where Numbers Meet Quirks ????” Ever wondered what it’s like to live the data life? Here’s a peek behind the screens (literally!) into the daily joys and struggles of being a data analyst: ? Where We Get Stuck: 1?? The “SQL Query Black Hole” ??: That moment when you write a query so long, even you can’t debug it. 2?? “Excel Error Landmines” ??: Just one accidental extra row, and BOOM, your entire analysis crumbles. 3?? “Visualization Blues” ??: Tableau says yes, but your brain says, “Does this bar chart even make sense?” 4?? “The Data Detective Saga” ???♂?: Figuring out why there’s a 2024 entry in a dataset from 2015. 5?? Stakeholder Surprises ??: “Can you add one more metric… in 10 minutes?” ? Why We Love It: Despite the occasional chaos, nothing beats the thrill of finding patterns, uncovering insights, and solving puzzles that actually drive decisions. It’s like detective work—just with spreadsheets and code! This illustration is my ode to every data analyst out there making data work smarter, not harder. Let’s celebrate the wins, the “aha!” moments, and even the quirky challenges that come with the job. ?? What’s the most “data analyst” problem you’ve faced? Let’s share and laugh together in the comments! ??

??Leveling Up in Data Analytics! ??I’m excited to share my recent progress on a challenging yet rewarding Data Analytics project as part of my ongoing Codebasics Data Analyst Boot Camp. This journey has been all about turning raw data into actionable insights and meaningful visuals. I’ve recently added dynamic Sales and Finance Reports to the project, offering a deeper dive into key performance metrics. Here’s a sneak peak at what's inside this project: ?? Sales Dashboard: ?? Customer Insights – Identified top-performing customers and emerging patterns in sales. ?? Market Trends – Compared market performance with targets, highlighting growth areas. ?? Finance Dashboard: ?? Profit & Loss Analysis – Visualized P&L data with dynamic charts for yearly and quarterly reviews. ?? Segment-Specific Profitability – Drilled down into profit by market segment, supporting better financial decisions. ?? Gross Margin Trends – Quarterly margin analysis to assist in strategy formulation. ? Project Highlights: ?? In-depth Analysis – Data-driven insights for smarter decisions. ?? Data Visualization – Simplifying complex datasets with intuitive visuals. ?? Strategic Insights – Identifying opportunities and areas for improvement. ?? Skills Sharpened: ?? Technical – Mastered ETL processes, Power Pivot, PivotTables, and DAX in Excel. ?? Soft Skills – Enhanced domain expertise in sales and finance, along with critical thinking and problem-solving abilities. A heartfelt thank you to Dhaval Patel Sir and Hemanand Vadivel Sir for their invaluable mentorship throughout this project! ?? I’m eager to connect with data enthusiasts—your thoughts, feedback, or even a friendly chat are more than welcome. Let’s keep learning and growing together! ?? #SalesAnalysis #FinanceAnalysis #ExcelProject #DataAnalytics #Excel #Codebasics #SalesReport #FinanceReport

Data Doesn’t Lie—But It Can Mislead. As a Business Analyst, I’ve learned that while data is factual, its interpretation can be subjective—and that’s where the real challenge lies. A simple metric like “on-time performance” might show 98%, but what’s hidden in that 2%? Often, the most critical insights are found where the data doesn’t tell the whole story. ?? My mantra: “Numbers need context to tell the truth.” Is a high average performance masking underperformance in certain areas? Are we prioritizing the right KPIs, or simply measuring what’s convenient? I specialize in digging deeper, building dashboards, and leveraging tools like SQL and Power BI to uncover actionable insights that help businesses make smarter, faster decisions. If your team values someone who challenges the obvious and thrives on solving complex problems, let’s connect! #BusinessAnalysis #DataDrivenDecisions #InsightsMatter