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I have a collection of raw customer datasets that needs to be explored and understood through SAS. The assignment is strictly data analysis: import the files, clean and transform them where necessary, then extract meaningful patterns and insights about customer behaviour. No dashboards or long-range forecasting are required right now—just a solid analytical deep-dive focused on the story the data tells. You may use whichever SAS tools suit you best (Base SAS, SAS/STAT, Enterprise Guide, etc.); what matters is that the work is fully reproducible and clearly documented. Deliverables • Well-commented SAS programs (.sas) that run end-to-end on my side • A short insight report (PDF or PPT) with summary tables, charts and your interpretation • Optional: a CSV of the cleaned, analysis-ready data Once we start I’ll share the data and a short list of business questions. Let me know your relevant SAS experience and how quickly you can turn around an initial results draft.
Project ID: 40641178
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As a highly skilled data analyst with an extensive background in using SAS and other statistical software, I am confident in my ability to deliver the high-quality results you're seeking for your dataset analysis. With several years of experience in working on similar projects, I have developed an innate ability to quickly clean, transform, and import large datasets, like yours, while identifying the most effective analytical techniques to extract patterns and insights. My approach to your project would prioritize ensuring that the work I do is fully reproducible and clearly documented, so you can easily follow the process even after our collaboration ends. Not only will I provide well-commented SAS programs that run seamlessly on your end; I will also include a comprehensive insight report filled with informative summaries, tables, charts, and most importantly—my interpretation. Additionally, if desired by you, I can also furnish a CSV of the cleaned data ready for further analysis. With Yassine Analyses on your side, you'll be working with someone who’s proficient at managing large collectio-quences of data effectively and uncovering stories they tell. Let's discuss your business questions and timelines; I'm confident my quick yet meticulous analysing style will ensure swift receipt of an initial results draft without compromising quality. Let me help you unlock 'the why' in your data!
€8 EUR in 1 day
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10 freelancers are bidding on average €27 EUR for this job

AVAILABLE TO START IMMEDIATELY..,,. I will deliver well-commented SAS programs (using Base SAS/SAS/STAT) for data exploration and insight extraction, a concise insight report (PDF/PPT) with findings on customer behavior, and an optional cleaned CSV. 10+ years Advanced Excel experience, Certified VBA Programmer, MBA.
€8 EUR in 1 day
6.4
6.4

Hi, I specialize in data analysis using SAS tools such as Base SAS, SAS/STAT, and Enterprise Guide. As a PhD Scholar and Lecturer with extensive experience in research and analysis since 2016, I can import, clean, transform, and extract valuable insights from your customer datasets. I understand the importance of a fully reproducible and well-documented analytical process to uncover meaningful patterns in customer behavior. I will develop well-commented SAS programs that run seamlessly on your end, along with a concise insight report containing summary tables, charts, and my interpretations. Additionally, I can provide you with a CSV of the cleaned, analysis-ready data if needed. I am excited to delve into your data, address your business questions, and deliver an initial results draft promptly. Javvad Yousuf PhD Scholar | Lecturer | Research • Writing • Analysis
€9 EUR in 7 days
3.7
3.7

Hi there, Your raw customer datasets need a clean, reproducible SAS analysis, not dashboards, just clear patterns and insight. I’ve handled exactly this kind of Data Analysis in SAS before, including import, cleaning, transformation, and building well-commented programs that run end-to-end. I’ll structure the work so the Data Management is transparent, then use SPSS Statistics-style rigor in validation, summary tables, and charted findings so the story behind customer behaviour is easy to follow. Best regards, Ian
€10 EUR in 4 days
3.6
3.6

Hello I reviewed your SAS analysis project and the goal is clear, turning raw customer data into useful insights through a clean and reproducible process. I will handle data import, cleaning, transformation and customer behaviour analysis with well structured SAS programs. You will receive documented code, insight report with tables and charts, plus cleaned data if needed. I will make sure the workflow is easy to run and understand. Best Regards
€97 EUR in 1 day
2.4
2.4

With my extensive skills in data processing and analysis, I am well-equipped to tackle your SAS Lineup Data Analysis project. Having worked on numerous projects involving large datasets, I am familiar with the processing intricacies that can arise, ensuring the highest level of data integrity. My deep understanding of SAS tools such as Base SAS and Enterprise Guide will not only ensure a thorough deep-dive into your customer datasets, but also provide reproducible code and stringent documenting for a transparent project. Your requirement for a comprehensive insight report aligns perfectly with my expertise in data visualization. This will allow me to present the patterns and insights about customer behaviour in a visually engaging and easy-to-understand manner. Furthermore, my proficiency in Python will enable me to conveniently create and deliver additional deliverables such as cleaned, analysis-ready CSVs if needed. My commitment to delivering high-quality work coupled with reliable and clear communication sets me apart as the right choice for your project. My end goal is always to provide meaningful business insights and improve operational efficiencies through my analyses. Let's rejuvenate your raw data into actionable insights!
€9 EUR in 7 days
1.2
1.2

Hello, I can help you transform your raw customer datasets into a clean, analysis-ready format and extract meaningful patterns that explain customer behaviour through a reproducible analytical workflow. I would approach this by reviewing the data structure, performing quality checks, cleaning and transforming the datasets, then creating documented analysis scripts and clear summary insights with supporting tables and visualizations. The goal would be to make the process repeatable so your team can validate and extend the analysis later. My experience includes working with large-scale data processing, database optimization, API-driven data pipelines, and AI/data systems where data quality and structured analysis are critical. Could you share what type of customer datasets you are working with and the main business questions you want the analysis to answer? Also, is SAS mandatory, or would you consider equivalent reproducible analysis tools if they better fit the workflow? I can review the data requirements and suggest the most effective approach. Regards, loannis
€20 EUR in 1 day
0.0
0.0

Hi, Delivering impactful analytics begins with structured data preparation, and with that focus, I can explore your raw datasets using Base SAS to uncover customer behavior patterns. My approach centers on writing clean, fully reproducible .sas scripts to handle data transformation, summary stats, and visualization. Let me know if the raw files need relational merging via PROC SQL before running statistical procedures. Recently, I worked on a similar project, Customer Insight Lab, an analytical evaluation built to understand consumer purchasing trends. I personally processed raw data tables, performed data cleaning and transformation, executed statistical analysis using SAS/STAT, and authored automated .sas scripts. I then compiled summary tables and graphical charts into a concise insight report. I lok forward to discussing the project further and helping bring your vision to life. Best, Ariba
€9 EUR in 7 days
0.0
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Hello, SAS customer datasets silently produce misleading insights when date formats and categorical encodings aren’t validated against business definitions before analysis begins. What looks like clean data in PROC CONTENTS often contains hidden recoding errors that flip behavioral segments or invert trend directions. The fix is running exploratory validation first: frequency checks on key behavioral variables, date range sanity tests, and cross-tabulations against known business rules before any statistical modeling. Heavy AI can generate commented SAS code templates and draft insight summaries instantly, but human review ensures analytical logic matches your actual business questions—not just statistical significance. Deliverables will include reproducible .sas programs with inline documentation explaining every transformation decision. What specific customer behaviors are you trying to understand—retention patterns, purchase frequency, segment migration, or something else? Do the raw files come with a data dictionary defining field meanings and valid value ranges, or will we need to reverse-engineer semantics from the data itself? Share the business questions list and one sample data file so I can validate feasibility within your €8-10 EUR budget before committing to full analysis scope.
€90 EUR in 2 days
0.0
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