Part-Time Customer Data Analyst

@glanegonsalves

Hi, Glane here. I can handle the weekly customer data workflow using Excel as the core tool cleaning and deduplicating incoming records, standardising fields, documenting assumptions/exclusions, and producing analysis-ready workbooks. I’ll run trend analysis, segment comparisons, and appropriate significance tests, then translate the statistical results into concise, actionable insights that clearly reference the underlying evidence. Each weekly delivery will be returned within two business days, with the final output always in .xlsx format; I can use SQL or Python as supporting tools when useful. I’m comfortable with the expected 5–8 hours/week workload and can maintain a consistent, repeatable process as new marketing-platform data arrives.

@pvsysgroupinc

★★★ TOP 1% IN FREE LANCER WORLD ★★★ ★★★ 20+ Year Experience in IBD being CMD★★★ ★★★ 200+ Country Satisfied Clientele ★★★ ★Linkedin★ ★Data Entry★ ★Business Plans★★★ ★★★ Operational Strategic planner Customer Support 24*7★★★ ★★★Excel/Word Operation★★★ ★★★Chat Support★★★ ★★★Calling Support★★★ ★★★Business Plans / Marketing Strategy ★★★ * Digital Marketing★★★ ★★★Social Media Marketing ★★★ ★★★Internet Marketing ★★★ ★★★Any type of Data Projects★★★ ★★★★★★ Regards, ★★★CMD★★★ ★★★PVSYS GROUP (INDIA)★★★ ★★★IF YOU THINK THEN I CAN★★★

@kaimenyijohn5

Your Project, Delivered – Research, Writing, Data Analysis, or Design, Handled with Precision Hello, I'm John K. — MSc Economics & Statistician with 15+ years and 1,000+ projects (4.9⭐). I specialize in academic writing, data analysis, document formatting, and business content. You have a project that needs a skilled, reliable professional. Whether it's research, writing, data analysis, editing, or design, I'll deliver high-quality, original work on time. How I'll approach it: 1️⃣ Review your requirements and materials 2️⃣ Clarify scope, timeline, and deliverables 3️⃣ Execute with attention to detail and accuracy 4️⃣ Deliver polished, ready-to-use files 5️⃣ Revise as needed until you're satisfied What you'll receive: ✅ High-quality work tailored to your needs ✅ Clean, professional deliverables ✅ On-time completion ✅ Free revisions I'm ready to start as soon as you share your project details. Drop a message and let's get it done. Looking forward, John K.

@dataEntryExperty

I can help keep your weekly customer data clean, accurate, and analysis-ready. I have strong experience in Excel, SQL, Python, data cleaning, statistical analysis, and data analytics, including handling large datasets and identifying duplicates, inconsistencies, missing values, and outliers. For each weekly spreadsheet, I’ll clean and standardize the data, remove duplicates, document assumptions/exclusions, and perform trend, segment, and statistical significance analysis. I’ll convert the results into clear, practical insights that directly reference the supporting metrics and tests. The final deliverable will always be a polished .xlsx workbook, with organized data, analysis, formulas/results, and a concise findings section that your team can easily review. I can consistently meet the two-business-day turnaround and accommodate the expected 5–8 hours per week. I can also use Python or SQL as a cross-check when useful, while keeping Excel as the final delivery format.

@alluankit01

Hi, I can support your weekly customer data cleaning and analysis work on a part-time basis, delivering a polished Excel workbook and clear insight summary within two business days. My approach will be to first review each weekly spreadsheet, clean and de-duplicate customer records, standardize fields, document assumptions, and then run the required Excel-based analysis to identify useful trends and segment-level insights. I’m comfortable with: * Excel data cleaning * Customer database management * Duplicate removal * Trend analysis * Segment comparison * Basic statistical testing * Data visualization * Python/SQL cross-checks if needed * Plain-language insight summaries Deliverables: * Cleaned .xlsx workbook * De-duplicated customer records * Analysis-ready tables * Annotated assumptions/exclusions * Trend and segment analysis * Statistical findings summary * Clear actionable insights * Weekly turnaround within two business days I can support the expected 5–8 hours per week and will focus on accurate data, transparent analysis, and concise business takeaways your team can act on. Best regards Ankit

@Sunitav36

Hi, I have checked the project : i shall give you 100% accuracy with timely deliver the project. To proceed further, I am ready to discuss your project and start immediately. Thanks

@robertb297

Hi, The real value here is not just cleaning customer records every week — it is creating a reliable reporting rhythm where the data stays consistent and the insights remain comparable from one delivery to the next. I’ve worked with recurring performance and customer reporting where data quality had to be checked first, assumptions documented clearly, and the final analysis translated into concise takeaways that management could actually use. For your weekly files, I’d focus on three things: keeping the customer data clean and de-duplicated, making the statistical comparisons reproducible, and ensuring every insight in the summary is directly supported by the underlying analysis. I’m also comfortable working within a short turnaround, so the two-business-day delivery cycle is workable. A useful first step would be to understand whether the weekly spreadsheet follows a consistent structure or changes significantly between marketing sources. That will determine how much of the cleaning and analysis can be standardized from the start. Best

@SyedTaha04

Hi, I can manage your weekly customer data cleaning, perform statistical analysis in Excel, and deliver clear actionable summaries. Data scrubbing, customer segmentation, and statistical modeling in Excel are my primary skills, specializing in deduplication, trend analysis, significance testing, and executive reporting. I will clean and de-duplicate your incoming weekly records, execute rigorous statistical tests directly within Excel, document all operational assumptions, and provide a concise summary highlighting key insights. I have managed numerous recurring database cleaning workflows and applied statistical analysis to deliver polished Excel outputs for business decisions. Message me in the chat so we can review your data structure and begin setup.

@designerbros

Given my extensive experience in data management and analysis, I am confident that I am the best fit for your part-time Customer Data Analyst role. I understand the importance of maintaining a clean and organized database, and have hands-on experience transforming raw data into compelling insights using Excel, SQL, and Python. This allows me to not only efficiently clean, de-duplicate and prepare customer records but also to run detailed statistical analysis to identify trends, conduct segment comparisons, perform significance tests and extract actionable insights. Moreover, my efficiency in cross-checking data using different software including SQL gives you the flexibility you desire while always ensuring that the final output is in .xls format for easy access and utilization by your team. I believe that clarity of communication is paramount in any data project. Finally, you can count on me to be prompt and professional, as I have consistently delivered quality projects within strict timeframes throughout my career. With my skills in SEO, content writing and digital marketing, I could also contribute towards maximizing the value we can draw from the analyzed customer data. I look forward to discussing how we can achieve zero critical errors in your cleaned dataset, annotate assumptions or exclusions transparently and generate insightful findings that directly respond to your business challenges. Let's connect soon!

@tyronet2

Your weekly customer files need more than basic cleanup—the real value is keeping the dataset consistent while turning trends, segment differences, and statistical tests into decisions your team can actually use. I work with Python and production data pipelines where validation, structured cleaning, and reliable analysis are essential, and I can combine that with Excel-based reporting so every final deliverable remains accessible in .xlsx format. I’ll de-duplicate records, standardize fields, flag exclusions and assumptions, check for missing or inconsistent values, then run the required trend, comparison, and significance analysis. Each workbook will include clear calculations, organized tabs, and a concise evidence-based summary tied directly to the results. If useful, I can use Python or SQL behind the scenes for validation while keeping Excel as the final source of truth. What is the typical row count and number of columns in each weekly file?

@iterativeTech

Drawing from my extensive experience in AI and cloud data engineering, I'm convinced I can make a significant impact in your role of Part-Time Customer Data Analyst. I have a remarkable command of Excel for statistical analysis, that's benchmarked by my ability to generate clear and concise insights from complex data sets - crucial for this role. My knowledge of Python and SQL allows me to cross-check and optimize your dataset where necessary, augmenting the task depth. My approach exemplifies wholesome attention to detail, which guarantees zero critical errors as well as a transparent annotation of any assumptions made or exclusions done. Furthermore, my experience cuts across multiple industries such as finance, healthcare, insurance, and enterprise environments just to name a few- this range allows me to bring different perspectives on interpreting data that might prove invaluable. Additionally, my proficiency in Cloud Data Engineering will be an asset in preparing your customer database, ensuring it's clean, deduplicated and readily available for analysis. At heart, I'm always oriented towards producing tangible business outcomes; communicating them clearly is second nature to me ensuring your key findings summary will be insightful and actionable. Finally, regarding availability, I'm fully adaptable to your schedules. Let me optimize your operational efficiency while you focus on core aspects of your business.

@warrick1718

This project immediately caught my attention because it is exactly the type of work I do best. Keeping your customer database clean and insightful, while ensuring zero critical errors, is essential. I understand the importance of polished workbooks and concise summaries that are easy to act on. While I am new to freelancer, I have tons of experience and have done other projects off site. My expertise in Excel, along with the ability to run statistical analysis and provide clear insights, aligns perfectly with your needs. If this sounds like what you're looking for I'd love to hear more about your project. Regards, Warrick Van Eeden

@bhargav922002

Hello, I'm Bharghav, a skilled professional with 10 years of experience in aligning job skills with project needs. I specialize in Python and have a strong focus on data analysis and database management. I understand your requirement to keep your customer database organized and insightful. I'll ensure incoming customer records are thoroughly cleaned, de-duplicated, and formatted for analysis. Using Excel, I'll conduct the necessary statistical analyses, including trend checks and significance tests, and will present the findings in a straightforward manner that supports informed decision-making. Once I receive the weekly spreadsheet, I will deliver a polished workbook and a summary of key insights within two business days. I encourage you to start a chat so we can discuss your specific needs and any additional details regarding the project. This way, we can align our schedules and ensure everything runs smoothly. Best regards, bhargav922002

@Algorista92

Hi, nice to greet you. This is Matías speaking from Córdoba, Argentina. I am the CEO and founder of MJE Data Consulting, a consultancy specialized in data science, statistical analysis, artificial intelligence, and data-driven solutions. I can help you maintain and prepare your customer database on a weekly basis by cleaning incoming records, identifying and removing duplicates, standardizing the data, and ensuring each workbook remains analysis-ready. I can also perform trend analysis, segment comparisons, descriptive statistics, and appropriate significance tests in Excel, translating the results into clear and actionable conclusions supported by the statistical evidence. If useful, I can cross-check the analysis with Python or SQL, while keeping the final deliverable entirely in Excel format as requested. I will also clearly document assumptions, exclusions, and any relevant data-quality issues. I would like to review a sample of the weekly spreadsheet, the existing structure and variables, and the statistical criteria you currently use so I can define the cleaning workflow, analysis methodology, turnaround process, and expected deliverables precisely. Best regards, Matías

@amito21

I can efficiently clean, validate, and deduplicate your weekly customer data using Excel, followed by trend, segment, and statistical analysis. I’ll provide an accurate, analysis-ready .xlsx workbook with documented assumptions and concise, actionable insights supported by the data. I can reliably meet the 2-business-day turnaround and 5–8 hour weekly requirement.

@shikhajatav396

I have 5+ years - experience in Excel, data cleaning, statistical analysis, and customer data management, including de-duplication, trend analysis, segmentation, and insight reporting. I can deliver accurate, well-organized XLSX reports within the required 2-business-day turnaround. Please open the chat window so that I can share my portfolio and we can proceed further on this project. In addition to your project needs, I'll provide you with clean source code, free bug patches, and maintenance. I am awaiting your positive response. Regards Ritesh

@yousefh0

Hi, I can support you on a recurring basis with cleaning, validating, and analyzing your weekly customer datasets in Excel. My background includes accounting, financial data analysis, Excel reporting, data cleaning, reconciliation, and identifying trends and inconsistencies in structured datasets. I’m comfortable working with large spreadsheets, removing duplicates, standardizing data, and preparing clear analytical summaries. I can deliver: • Clean and de-duplicated Excel datasets • Clear documentation of assumptions, exclusions, and corrections • Trend and segment analysis • Excel-based statistical checks where required • Concise insight summaries linked directly to the supporting analysis • Final .xlsx files that are easy for your wider team to use I’m new to Freelancer.com and currently building my client reviews, but I bring hands-on experience working with detailed financial and operational data. I’m therefore happy to offer a competitive rate while maintaining accurate and professional work. I can accommodate the 5–8 hours per week and the two-business-day turnaround. Before starting, I’d like to confirm the approximate number of rows in a typical weekly file and the main statistical tests you usually expect. Best regards, Yousef

@guptakishan805

With an extensive background in data management, I am the perfect fit for your Part-Time Customer Data Analyst role. Throughout my 5+ years of experience, I have been consistently helping businesses make sense of their data, ensuring that it is clean, meaningful, and actionable just like you're looking for. My expertise in Excel and data analysis, including trend checks, segment comparisons, and significance tests will empower your team to make data-driven decisions to better engage with your customers. I understand the entire process of working with messy raw data—from de-duplicating entries to transforming it into insightful summaries. Moreover, my fluency in using Python and SQL would come handy when cross-verifying numbers or creating efficient workflows if needed, demonstrating my adaptability to meet your unique project needs. Success in this position is not only about technical skills but efficiently managing time while maintaining a keen eye for detail. Rest assured, I will return polished workbooks with a concise summary of key insights within two business days as you've outlined. But more importantly, I will deliver zero critical errors in the dataset by carefully cleaning and preparing the incoming customer records. Let us join forces to make your customer database a stronghold of business intelligence.

@kapilgoyal6

Hello, I can help keep your customer data **clean, accurate, and actionable** on a consistent weekly schedule. I have experience working with **Excel, Python, SQL, and statistical analysis** to transform raw marketing data into reliable datasets and clear business insights. For each weekly spreadsheet, I will: * Clean, de-duplicate, and validate customer records * Standardize formats and identify missing or inconsistent data * Perform trend analysis, segment comparisons, and significance testing * Create a well-organized **.xlsx workbook** with formulas and clear annotations * Deliver a concise summary explaining key findings and recommended actions in plain language I understand the importance of **zero critical errors, documented assumptions, and fast turnaround**, and I can consistently return completed work within **two business days**. My workflow combines Excel with Python or SQL for quality checks when needed, while ensuring the final deliverable remains fully compatible with your team's existing Excel process. I'm available for **5–8 hours per week**, communicate proactively, and provide dependable, repeatable results. I'd be happy to review a sample spreadsheet and establish a workflow that scales smoothly as your weekly data grows.