Harnham’s Post

It doesn’t matter if you’re a Data Engineer. It doesn’t matter if you’re a Data Scientist. It doesn’t matter if you’re a Data Analyst. It doesn’t matter which title you own. You still have to … - Handle missing or inconsistent data. - Optimize SQL queries for better performance. - Communicate your findings to non-technical stakeholders. - Integrate data from multiple sources. - Ensure data security and compliance metrics are met Titles change but groundwork remains the same.

Hello LinkedIn Members, I am looking to engage with the following people (Based in SA). Data Architects with 10 years experience + Data Integration specialists  + Data Analyst specialists in Governance and Data Engineers. Contract for 12 months. Remote (Based in SA). Please inbox me or e-mail Zharvey@dvtsoftware.com 😎 #DataScience #BigData #MachineLearning #DataAnalytics #ArtificialIntelligence #AI #DeepLearning #DataVisualization #DataDriven #DataMining #DataEngineering #PredictiveAnalytics #DataScientist #DataStrategy #BusinessIntelligence #DataOps #DataGovernance #DataQuality #DataIntegration #Analytics

#ThursdayTechLingo 💬 Data Analyst A data analyst is someone who works with an organization’s data to assist in making better business decisions and provide insights that support decision-making efforts. A data analyst collects, cleans, and interprets data sets to answer a question or solve a problem. They work in many industries, including business, finance, criminal justice, science, medicine, and government.

It doesn’t matter if you’re a Data Engineer. It doesn’t matter if you’re a Data Scientist. It doesn’t matter if you’re a Data Analyst. It doesn’t matter which title you own. You still have to … - Handle missing or inconsistent data. - Optimize SQL queries for better performance. - Communicate your findings to non-technical stakeholders. - Integrate data from multiple sources. - Ensure data security and compliance metrics are met Titles change but groundwork remains the same. Agree? #Dataengineering #Dataanalyst #Datascientist

Every data scientist is a data analyst, but not every data analyst is a data scientist.

It doesn’t matter if you’re a Data Engineer. It doesn’t matter if you’re a Data Scientist. It doesn’t matter if you’re a Data Analyst. It doesn’t matter which title you own. You still have to … - Handle missing or inconsistent data. - Optimize SQL queries for better performance. - Communicate your findings to non-technical stakeholders. - Integrate data from multiple sources. - Ensure data security and compliance metrics are met Titles change but groundwork remains the same. #DataScience #DataEngineering #DataAnalysis #DataManagement #DataIntegration #SQLOptimization #DataSecurity #TechCareers #DataProfessionals #DataDriven #DataInsights #Analytics #DataQuality

#hiring *Data Analyst (Full Time)*, Denver, *United States*, fulltime #jobs #jobseekers #careers #Denverjobs #Coloradojobs #Administration *Apply*: https://lnkd.in/gedZ3FPQ Job Description Role: Data Analyst (Full Time) Location: Denver, CONote: Candidate must have good experience in Machine Learning, AI, Snowflake, ADF (Azure Data Factory) and Python R and minimum 10 Years of experience Job Description: Data analysts are professionals responsible for interpreting and analyzing complex data sets to extract actionable insights. Their role involves collecting, organizing, and processing data to help Frontier Airlines for making informed decisions. Roles and Responsibilities: 1. Data Collection: Gathering data from various sources, including databases, spreadsheets, and APIs. 2. Data Cleaning and Preparation: Ensuring data accuracy, cleaning inconsistencies, handling missing values, and organizing data sets for analysis. 3. Database Management: Work with databases to extract, transform, and load (ETL) data. Optimize database queries for performance. 4. Data Analysis: Using statistical methods, data visualization tools, and programming languages to analyze data and discover patterns, trends, and correlations. 5. Insights Generation: Creating reports, dashboards, and visualizations to present findings, providing actionable insights to stakeholders. 6. Problem-solving: Addressing business challenges by analyzing data and recommending strategies for improvement. 7. Continuous Improvement: Staying updated with data analysis techniques, tools, and industry trends to enhance data-driven decision-making. 8. Collaboration: Collaborating with cross-functional teams business stakeholders. Participating in data-related projects and initiatives. Providing support to end-users. 9. Documentation: Documenting data processes, workflows, and configurations. Creating and maintaining documentation for data-related policies and procedures.

It doesn’t matter if you’re a Data Engineer. It doesn’t matter if you’re a Data Scientist. It doesn’t matter if you’re a Data Analyst. It doesn’t matter which title you own. You still have to … - Handle missing or inconsistent data. - Optimize SQL queries for better performance. - Communicate your findings to non-technical stakeholders. - Integrate data from multiple sources. - Ensure data security and compliance metrics are met Titles change but groundwork remains the same. Agree? Btw, want to join a community of 1000+ like-minded data folks? Comment your email and I’ll send you a link ⬇️

If you’re a data engineer, consider adding a data analyst to your network. If you’re a data analyst, consider adding a data engineer to your network. The world is round, expand your network and advance the learning process… #dataengineering #dataanalysis #networking #growth

What Companies are Looking for: 📍That data analyst who also knows a bit of ETL 📍That data scientist who also covers in- depth analysis 📍That data engineer who is also familiar with the business needs 📍 That analytic engineer that translate analytics needs to technical models 80% of what I did, at Opticom finance LTD was data science related, although I was hired as a financial analyst Don't think too rigid of your role, Job titles don't solve business problems Dare to explore and understand other pathways related to your Job, and trust me you'll become highly valuable and rewarded by a good company 😅 #data #crossdiscipline