Part-Time Data Analyst Role

@hedeya1980

Hello, In my recent data analysis and data visualization projects, I built Tableau interactive stories comprising of insightful dashboards to communicate customer retention, sales and PNL analyses for a multi-branch company in Saudi Arabia. I can show you examples in chat immediately. I am confident that my skills in Python, specifically with Pandas and NumPy, can transform your raw data into meaningful insights. My experience in cleaning and normalising large sets of data, including using Excel or Python, will undoubtedly be useful to your project. Additionally, my proficiency in writing SQL queries to join tables or surface key metrics aligns well with your needs. Not only can I create quick visualizations or dashboards using matplotlib, seaborn, or Tableau - whatever you prefer - but I can also identify anomalies or trends and effectively communicate them in plain language. I believe that clear communication is key when conveying complex data analysis and that's what I intend to deliver. Moreover, the fact that all cleaning steps I undertake are documented allows for reproducibility. It's also worth noting that my background as a PhD researcher in Electrical Engineering specializing in Computer Vision and Machine Learning is directly applicable to this field. All this means is that you can expect not just a data analyst but a comprehensive thinker who can provide unique insights refined from different perspectives. Best regards, Mohamed Hedeya

@bizvivo

Greetings, With a robust background in statistics and data science, complemented by a prolific academic writing portfolio, I am well-equipped to tackle complex data-driven challenges. My expertise is rooted in the successful completion of numerous PhD-level thesis projects, where I employed advanced statistical methodologies to extract meaningful insights from diverse datasets. My professional journey has been marked by collaborations with various companies, leading to projects that demanded high-level quantitative analysis and data interpretation. These projects enabled me to delve into trend analysis, temporal behaviour studies, and comparative assessments of data variables. I possess proficiency in a suite of analytical tools, including SPSS, R, Python, OpenCV, WEKA, Tableau, Power BI, and Excel. My skill set extends to sophisticated techniques such as image processing, machine learning, deep learning, artificial intelligence, natural language processing, hypothesis testing, forecasting, T-tests, and ANOVA, among others. I am eager to engage in discussions that leverage my comprehensive skill set to provide innovative solutions in AI and ML domains. Warm regards, Radhika

@Marwan328

Hi, I’d love to take on this part-time data analyst role. My absolute favorite tool stack is pairing Python (Pandas) for heavy data cleaning and SQL for table merging with Power BI for building highly interactive, clean dashboards. It's the most efficient way to turn raw exports into something readable. To answer your prompt, an analysis I'm incredibly proud of actually won a contest right here on Freelancer.com. The challenge involved analyzing a massive, raw Amazon dataset. Using Pandas, I cleaned and cross-referenced sales figures, product categories, and customer metrics to isolate hidden trends. I then compiled the findings into a highly structured PDF executive report that mapped out clear product performance insights and identified specific inventory bottlenecks also created a Machine Learning Model predicting the ratting of the customers about the products. Winning that contest proved my ability to turn messy, REAL WORLD data into highly accurate, plain language insights that businesses can immediately use. I am fully comfortable with your 24-hour turnarounds, 0.5% reconciliation margin, and keeping all cleaning scripts documented. I have a flexible weekly schedule and can easily dedicate the regular hours needed to keep your data flowing. Are your Google Analytics and Stripe files in a single folder, or do their monthly column layouts vary?

@echekwa

Dear Client, I am a Data Analyst with over 4 years of experience transforming raw business data into actionable insights that support product, marketing, and operational decision-making. My preferred tool stack includes Excel, SQL, Python (Pandas), Power BI, and Google Sheets, allowing me to work efficiently across different data environments. One project I am particularly proud of involved analyzing sales and customer behavior data from multiple sources. I cleaned and merged datasets using SQL and Power Query, developed automated dashboards in Power BI, and identified customer purchasing trends that helped improve reporting efficiency and support strategic decisions. For your project, I can clean and normalize data from Google Analytics, Stripe, and internal spreadsheets, document every transformation step for reproducibility, validate outputs against source totals, and create concise dashboards or presentations that communicate key findings in plain language. I am also experienced in anomaly detection, KPI reporting, and trend analysis. I am comfortable with your turnaround requirements and available to start immediately. Best regards, Chijioke Chidiebere

@JoseRCarvas

Hi — your spec is clear: CSV exports from Google Analytics, Stripe and internal sheets, cleaned and merged into concise, decision-ready findings, with every cleaning step documented and summary tables reconciling to source within 0.5%. That reconciliation discipline is how I work. Stack: Python/pandas for cleaning, normalising and merging; light SQL for joins and key metrics; visuals in whatever you read fastest (Google Sheets, Power BI, or matplotlib/Plotly). I keep a re-runnable cleaning script so every result is reproducible. The kind of analysis I enjoy most: reconciling Stripe payouts against internal sales records to explain a revenue gap — netting out fees, refunds and FX, then flagging the handful of transactions that actually moved the number, in plain English. To de-risk: send me one well-defined question on a sample file and I'll return the cleaned data + 2-3 findings (and a 3-slide summary) free, before any milestone, so you can judge fit. Two questions: (1) which tool do you want the dashboards in, and (2) roughly how many files/rows per batch, and how often? ₹900 covers the first defined task; glad to settle a simple per-task or weekly basis once I see the cadence. — Ricardo

@bilawala17

Hello, I have reviewed your requirement for transforming raw business data from Google Analytics, Stripe, and internal CSV files into clear, actionable insights. I have solid experience working with SQL for data extraction and analysis, along with data cleaning and reporting using Excel and structured datasets. I can efficiently handle joining datasets, writing queries for key business metrics, and presenting insights in a simple and decision-focused format. My approach for your work: • Clean and normalize CSV data for consistency • Write SQL queries to extract and combine key metrics • Identify trends, anomalies, and performance insights • Create clear summaries and visual reports (Google Sheets / Excel dashboards) • Ensure all steps are well documented for reproducibility I focus on accuracy, clarity, and making data easy to understand for business decisions. I am available for ongoing weekly work and can start immediately. Looking forward to working with you.

@yeisoncruz16

I’ll turn your CSV exports from Google Analytics, Stripe, and spreadsheets into clear, actionable insights on a part-time basis — cleaning and normalizing data with Python/pandas, writing light SQL to surface key metrics, and building concise dashboards or visualizations in whatever tool you prefer. I’ll flag anomalies and explain trends in plain language, with all cleaning steps documented and summary tables that reconcile within 0.5%. One analysis I’m proud of: I took raw Stripe transaction logs and GA session data, merged them to reveal a 22% drop-off between checkout visits and payments on mobile, leading to a checkout redesign that recovered revenue within two weeks. My stack is pandas + SQL for processing and Tableau or Google Sheets for visuals, depending on what you’re most comfortable with. As a Senior Platform & Data Engineer, I do this kind of data distillation routinely — you’ll get reliable, no-fluff insights every week.

@shubhamm281

Hello Sir, I am Shubham, a data analyst with professional skills in SQL, Python (Pandas), Google Analytics, Excel, and dashboard development. I have 1 year of experience working at Finsys Company, where I handled data cleaning, analysis, reporting, and interactive dashboard creation

@fatihu3

As a recent Data Science graduate, I have hands-on experience in Python, SQL and proven ability in transforming raw data into actionable insights, making me a perfect fit for your part-time Data Analyst role. Having worked extensively with large transactional datasets at Iyzico, cleaning and scrutinizing data to extract meaningful patterns is second nature to me. Your project's need for data cleaning and normalisation in Excel or Python (pandas) aligns perfectly with my skill set. I am a proficient SQL writer which is vital in joining tables and surfacing key metrics for the type of tasks you want me to handle. I have also honed my skills in creating quick visualisations using various tools such as Google Sheets, Tableau as well as Power BI—which will be advantageous when making dashboards for you. Lastly, something that sets me apart is my ability to communicate complex analyses effectively in plain language, exactly what you're looking for when it comes to flagging anomalies or trends. I understand the importance of detailed documentation; I'll not only deliver accurate analysis but well-explained cleaning steps too that can be easily reproduced. My consistent attention to detail will ensure that all summary tables reconcile to source totals within 0.5%. In short, my dedication to delivering quality analysis coupled with my broad-based technical competencies will greatly support your decision-making process.

@devu58

Hey Mate, I’m AI Graduate (Masters) and I’ve gone through your requirements and I’m happy to work with you as Data Analyst. I’ve plenty of experiences in AI/ML Projects and the data analysis is the core concept about it. I can help you with the data cleaning as per your requirements. Feel Free to ping me up. Cheers ;)

@Bhavanilsagar

As an A. One project that comes to mind that showcases my data analysis skills is creating a trading system that automated the entire investment process from signal generation to risk management. Akin to your project, this required intense attention to detail in cleaning messy data, accurate synthesis of key metrics, and concise communication of results—all within tight deadlines. Using Python and other relevant tools for automation, I am confident in delivering timely striking insights from various data sources (similar to your CSV files from Google Analytics, Stripe, etc.). Lastly, my passion for what I do ensures I consistently go above and beyond expectations. I thrive in settings where insightful analysis leads to real-world actions and am genuinely excited about helping you make informed product and marketing decisions through actionable insights drawn from your raw business data. If you're looking for a reliable and experienced freelancer to take on this part-time role, turning your data into actionable insights promptly and with precision, then look no further!

@bhutrakichu

With my extensive experience as a Data Analyst specializing in data cleaning and visualization, I am confident that I can bring immense value to your team. Through my use of Power Query and SQL, I have honed my skills in extracting, transforming, and loading datasets and guarantee their accuracy. This meticulous approach is crucial as I understand that bad data can result in faulty business decisions. Additionally, working with Power BI has allowed me to automate processes and build dashboards that not only look great but tell compelling stories for businesses. The one-click insights I create could potentially save you hours every week on manual Excel work while providing you with actionable findings. Lastly, my strong communication skills will ensure that complex technical data is translated into clear, actionable concepts for not only you but your entire team. More than just creating charts, my focus is on delivering insights that can significantly impact your revenue growth and operational efficiencies. I'm excited to get started on this project and help clear the chaos from your spreadsheets!

@deekshith97

Hi I found your project. I want to help you with it. I know what you are looking for. I am sure I can do exactly what you need by the time we agree on. I think it is good to talk about the project in a way so you will always know what is going on. If we need to make some changes I am happy to do that until you are happy, with the work. My goal is to do work finish it on time and work with you for a long time not just do one project and that is it. If you want we can talk more about what you need before we start. I am ready to start when you're ready. I am looking forward to hearing from you about your project.

@kavyac161002

Hello, I am a Computer Science graduate with experience working with Python, Pandas, SQL, Excel, and data analysis workflows. I can help clean, organize, and analyze data from multiple sources while presenting findings in a clear and actionable format. I am comfortable with: • Data cleaning and preprocessing using Python (Pandas) • SQL queries for data extraction and aggregation • Dashboard creation in Excel, Google Sheets, and Power BI • Trend analysis and anomaly detection • Communicating insights in plain language for decision-making One analysis I am particularly proud of involved consolidating data from multiple sources, identifying key performance trends, and presenting the results through concise visualizations that simplified decision-making. I prioritize accuracy, documentation, and reproducible workflows, and I can provide well-documented outputs that are easy to maintain and extend. I am available to start immediately and would be happy to discuss your requirements. Best regards Kavya C

@chavhan1rohini

Hi, I hope this message finds you well. I have carefully reviewed your project, Part-Time Data Analyst Role, and I am confident that my skills and experience align perfectly with your requirements. Thank you.

@MeiXin007

I have experience in Python data analysis, and I am a student. I think I have enough time to work with you.

@amitpatel16

I am a Data Analyst with experience in SQL, Python(pandas), Excel, Power BI. In my recent project, I worked on sales and customer analytics where I performed all required skills . I am new in this platform but i am available to start immediately and can provide quick turnaround on small tasks.

@AliHassanCs

Hi, I'm Ali - a CS student at PUCIT with hands-on experience in exactly the stack you described: Python (pandas, NumPy), SQL, Excel, and data visualization. One analysis I'm proud of: I cleaned and analyzed a COVID-19 dataset of 333,000+ rows across 200+ countries — handling missing values, normalizing formats, merging sources, and building visualizations that surfaced regional trend breakdowns. Every cleaning step was documented in a Jupyter Notebook so the process was fully reproducible. For your work specifically: • CSV cleaning and merging (Google Analytics + Stripe + internal sheets) is straightforward with pandas — I document every transformation • SQL joins and metric queries I can deliver fast • For dashboards, I'm quickest in Google Sheets and Python (Matplotlib/Seaborn); I can adapt to Tableau or Power BI if preferred • I'll always flag anomalies with a plain-English explanation, not just a chart I'm part-time, available consistently each week, and comfortable with 24-hour turnarounds on small requests. I work neatly — summaries reconcile to source totals and I keep things under three slides when a deck is needed. Happy to do a small paid trial task so you can evaluate the output before committing. Let me know.

@mansib194

Hello, I would be happy to help with this ongoing data analysis work. I have experience working with Python, pandas, SQL, Excel, and Google Sheets to clean, transform, and analyze data from multiple sources. I can: • Clean and normalize CSV exports from Google Analytics, Stripe, and spreadsheets using Python (pandas) or Excel. • Write SQL queries to join datasets and generate key business metrics. • Build dashboards and visualizations in Google Sheets, Tableau, or Power BI. • Identify trends, anomalies, and opportunities, and explain the findings in clear, actionable language. I ensure that all data cleaning steps are well documented, summary tables reconcile accurately with source data, and insights are presented concisely and effectively. I can comfortably meet the 24-hour turnaround for smaller requests and provide deeper analyses within the expected timeframe. I am ready to get started immediately and would love to discuss your requirements further. Best regards, Mansi Bajpai