Статистика Jobs

I’m looking for an experienced Power BI specialist who can step in and turn my raw information into clear, interactive dashboards and reports. The data connections may still need to be set up, so I’ll rely on you to advise on best-practice modelling, connect the sources where required, write any DAX measures, and shape the final visuals so they tell a concise story. Once the first draft is ready, we’ll review it together, iterate on the layout, filters, and performance, then publish it to the Power BI Service so stakeholders can access it online. If you have recent examples of similar work, please include a brief note on the challenges you solved and any techniques or visuals you’re especially proud of. I’m ready to begin as soon as we agree on the appro...

Seeking highly advanced Python/AI pattern-detection specialist with experience in market microstructure, behavioural analytics, anomaly detection, and bookmaker odds movement analysis. Project involves building a rerunnable AI-assisted analytics framework designed to detect and classify pre-match betting market behaviour across global football leagues. Core objective is to distinguish between: • genuine information-driven market movement • liquidity/liability-based bookmaker gearing • deceptive or behavioural drift patterns • ambiguous market behaviour The system must analyse: • Moneyline markets • Over/Under markets • Multi-bookmaker movement concurrence • League-specific behavioural fingerprints • Provider-specific movement bias • Margin ...

I am a veterinary surgery resident needing assistance with a research paper which I am required to have before I am permitted to sit for boards. I do not have any research experience and I am looking for very basic general data assistance. For my project, I am looking at the ability of dogs with juvenile shoulder OCD to reach and sustain competitive agility careers. I have 44 survey responses and I am trying to determine which variables to statistically analyze. However, first and foremost, I am in desperate need someone to be able to get on a call or video chat for me to be able to describe my very very nuanced research topic. I would like to put out a research paper that is meaningful but am finding that without a person who understands the topic and inherent variables in each of the dat...

I am looking for a freelancer to build ARIMAX models to forecast EUR/BRL (eur_ptax_average, eur_ptax_end_of_month), GBP/BRL (gbp_ptax_end_of_month, gbp_ptax_average), USD/BRL (usd_ptax_average) and JPY/BRL (jpy_ptax_end_of_month, jpy_ptax_average), considering two types of monthly targets: 1. End-of-month exchange rates; and 2. Monthly average exchange rates. The models should use the USD/BRL(usd_ptax_end_of_month) as exogenous variable. This variable is available in the attached Excel file , in column D and highlighted in yellow. The freelancer may use Python or EViews to develop the models. The forecast horizon should be determined by the number of future months available for the exogenous USD/BRL (usd_ptax_end_of_month). The models must be economically interpretable, statistically w...

I’m looking for a patient, knowledgeable tutor who can guide me through college-level mathematics. The immediate goal is to strengthen my grasp of core concepts—calculus, linear algebra, and any other foundational topics that come up in my coursework—so I can tackle assignments and exams with confidence. We’ll meet online, so please be comfortable using screen-sharing tools, a digital whiteboard, or whatever platform you prefer for clear step-by-step explanations. I learn best by working through real problem sets: you walk me through the method, I try it, then we review together. If you can also share short practice exercises between sessions, that would be ideal. Let me know your availability, the software you like to use (Zoom, Skype, Microsoft Whiteboard, etc.)...

From Pakistan or India Junior Level I need some junior Level , Python Tutors for kids. I need a warm-hearted, energetic female tutor to guide a small group of children through the world of Python. The kids are absolute newcomers, so the first goal is to spark curiosity—show them how to print a line, draw shapes with Turtle, and turn simple logic into something they can see on-screen. As they gain confidence, I’d love to branch into playful mini-projects such as text-based games and, if time allows, a gentle introduction to data-handling basics. All sessions will be online. I’m aiming for two one-hour lessons per week, with brief take-home exercises after each class and a short progress note so parents can follow along. You’re free to recommend the best tools—...

I’m working on medical diagnostic data meta-analyses. Some data come from direct presentations of raw data, some from logistic-regression output, others from ROC curves, and I would like to know when it is defensible to “reverse-engineer” true-positive, false-positive, false-negative and true-negative counts from summary measures such as sensitivity, specificity or AUC or regression. Here’s what I’m looking for you to deliver: • A short, clearly written memo or a brief call that walks through and states whether the back-calculation is appropriate in a number of example case. I will be happy to provide additional explanation of intended methods (hsROC) and provide som examples of references or excerpts of published data that I am not sure is appropriate f...

I want to build a solid working understanding of quantum field theory, starting from a beginner’s level and moving toward confidently handling second-order perturbative calculations. My main goal is to grasp how the classic Feynman diagrams and their underlying integrals arise, follow every VERY DETAILED mathematical step behind them, and learn how to attach realistic numerical estimates to the final results. During our sessions I’d like you to weave together the big theoretical ideas with line-by-line derivations and concrete numerical evaluatio . Please favour step-by-step written explanations that I can revisit between meetings. Visual summaries or interactive moments are welcome if they help, but clear written walkthroughs are essential. If you enjoy guiding someone from ...

I work in the finance industry and spend most of my time examining large sets of financial data. I’m looking for a reliable freelancer who can step in and help me run specific analyses, prepare clear summaries, and visualize key findings when deadlines pile up. Here’s what I typically need: • Clean and structure raw financial data so it is ready for analysis (Excel, CSV, SQL exports). • Perform descriptive and comparative analyses—trend, variance, ratio, or other finance-focused techniques—using tools such as Excel, Python (pandas, NumPy), or R. • Turn results into concise written insights and, when useful, simple charts or dashboards that I can drop straight into client presentations. What I care about most is proven experience. In your appli...

I’m in the early stages of launching a new enterprise and I have a sizeable set of financial data that needs a fresh pair of eyes. The objective is straightforward: dig deep into the numbers, spot hidden patterns I can act on, and highlight anything unusual that could influence my next strategic move. You’ll receive raw transaction tables along with a brief on the business model. Using Python (think pandas, NumPy, maybe a touch of scikit-learn for exploratory modelling) and solid SQL querying, I’d like you to clean the data, explore relationships, and surface any trends or anomalies that aren’t obvious at first glance. Clear commentary in well-structured Jupyter notebooks or a similar environment is preferred so I can follow the logic step by step. By the end, I n...

I need a Power BI dashboard built from the ground up with one clear objective: give me an at-a-glance view of our sales performance. The data will come from our existing SQL database and a set of monthly CSV exports; you will connect, clean, and model everything inside Power Query and DAX so the reports refresh automatically. While the core focus is sales analysis, I am open to your suggestions on which visuals and metrics add the most value—think revenue by region, product performance, or even individual sales-team results if that helps highlight trends. What matters is that the final report tells a concise story I can share with executives and frontline reps alike. Deliverables • A ready-to-publish Power BI (.pbix) file with clean data model, measures, and interactive visual...

We are looking for an experienced Power BI developer to create a professional, interactive dashboard based on financial data provided in CSV format. The objective is to transform raw financial data into actionable insights by developing key performance indicators (KPIs), performance metrics, and visual analytics that support business decision-making. Scope of Work: Import and clean CSV financial data Design and develop an interactive Power BI dashboard Create relevant financial KPIs and performance metrics Build visualizations for trends, comparisons, and performance tracking Implement filters, slicers, and drill-down functionality Ensure dashboard is clear, intuitive, and suitable for executive-level reporting Expected Deliverables: Power BI (.pbix) file Well-structured data model Ca...

I have a set of completed Abaqus simulations and now need a sharp, data-driven interpretation of the results. The focus is purely on post-processing: extracting the stress and strain fields from the ODB files, turning them into clear visuals and metrics, and explaining what they mean for the structural stability of the frames I am studying. Here are the exact result areas that must be covered: • Maximum stress points • Stress distribution over time (load increments / steps) • Comparative analysis between different simulations • Displacement fields • Any additional indicators that speak to overall frame stability I expect plots (contours, XY curves) and a concise written discussion that pinpoints critical regions, quantifies safety margins, and compares ...

I need a concise, professionally written technical report that delivers a clear-headed system analysis of our current setup. Your task is to examine the system components I will share (architecture diagrams, performance logs, and requirement specs) and turn that information into a structured report that covers objectives, methodology, findings, and actionable recommendations. You’ll be free to use any standard technical-writing tools (Word, LaTeX, Markdown—whatever lets you work fastest) as long as the final document is delivered in both PDF and editable format. Depth matters more than length: every section should directly support the conclusions, avoid filler, and be properly referenced. Acceptance criteria • Executive summary highlights the system’s strengths, we...

From Pakistan or India Junior Level I need some junior Level , Python Tutors for kids. I need a warm-hearted, energetic female tutor to guide a small group of children through the world of Python. The kids are absolute newcomers, so the first goal is to spark curiosity—show them how to print a line, draw shapes with Turtle, and turn simple logic into something they can see on-screen. As they gain confidence, I’d love to branch into playful mini-projects such as text-based games and, if time allows, a gentle introduction to data-handling basics. All sessions will be online. I’m aiming for two one-hour lessons per week, with brief take-home exercises after each class and a short progress note so parents can follow along. You’re free to recommend the best tools—...

I’m ready to turn the stock market into a dependable source of roughly $1,000 in profit every single day, but I’m starting from a blank slate. I’ll open the brokerage accounts you recommend; what I need from you is the complete, step-by-step blueprint that makes those accounts grow. Here’s what I have in mind: • A clearly defined strategy for active investing or swing trading in stocks, backed by both fundamental and technical analysis. • Exact entry, exit, and risk-management rules I can apply on platforms such as Interactive Brokers or Thinkorswim. • A position-sizing model that shows how much capital is required to reach the $1K-per-day goal and how to scale safely. • A walk-through of any screeners, indicators, or automated tools (...

Marketing Analytics Project to present to team Overview Welcome! This assignment simulates a real-world scenario where you need to unify and analyze multi-channel advertising data. Your mission: Transform raw advertising data from three major platforms into actionable insights through a unified data model and compelling visualizations. Data Files - Facebook advertising metrics - Google Ads campaign data - TikTok advertising engagement Requirements 1. Data Setup Upload all three CSV files to a cloud database of your choice Create an additional table that unifies data from these 3 tables 2. Dashboard Create a one-page dashboard visualizing the integrated data. Include key metrics and insights you find relevant for cross-channel performance analysis. Deliverables Link to live dashboard ...

I have a balanced panel covering 6–10 years of observations across multiple cross-sections and want to examine how an economic indicator responds to a set of covariates. Sample of te panel data is attached. The study design calls for a classic fixed effects specification in STATA, with all the usual diagnostics to justify the choice over random effects and to address serial correlation and heteroskedasticity. The data arrive clean and coded, but I still need you to: • import them into STATA, document any recoding or value-label changes, and verify panel identifiers • run the fixed effects model, report robust standard errors, and perform the Hausman test so the fixed-effects choice is formally defended • supply neatly formatted regression tables (preferably outr...

I have collected survey data for my research and now need to run a full moderation analysis in SPSS. The variables are already cleaned and coded, but I want a specialist who can: • Set up and execute the appropriate moderation model in SPSS (using PROCESS or equivalent). • Explain each step so I can replicate it later. • Interpret the output—interaction effects, conditional effects, plots—and translate them into clear, publication-ready wording. • Provide concise syntax and a brief report that I can append to my methods and results sections. I will share the dataset (anonymised) and my research hypotheses once we start. Accuracy, transparency in the statistical decisions, and the ability to answer follow-up questions are essential to the completion o...

From Pakistan or India Junior Level I need some junior Level , Python Tutors for kids. I need a warm-hearted, energetic female tutor to guide a small group of children through the world of Python. The kids are absolute newcomers, so the first goal is to spark curiosity—show them how to print a line, draw shapes with Turtle, and turn simple logic into something they can see on-screen. As they gain confidence, I’d love to branch into playful mini-projects such as text-based games and, if time allows, a gentle introduction to data-handling basics. All sessions will be online. I’m aiming for two one-hour lessons per week, with brief take-home exercises after each class and a short progress note so parents can follow along. You’re free to recommend the best tools—...

I need help writing the introduction and methodology for my IB Math HL IA on sorting algorithms. Ideal Skills and Experience: - Strong understanding of IB Math HL concepts, particularly in calculus, statistics, and algebra - Experience with writing academic mathematical reports - Ability to clearly articulate complex mathematical ideas - Familiarity with sorting algorithms and their applications Looking for a freelancer who can provide a well-structured and clear introduction and methodology.

I need raw Tcrit and reflectance data from two experiments analyzed using R. Please also write results, discussion, and conclusion sections. Key requirements: - Statistical analysis expertise - Proficiency in R - Experience in scientific reporting Ideal skills and experience: - Familiarity with Tcrit and reflectance data - Strong background in statistical methods - Ability to interpret and discuss experimental results

My dissertation has yet to move beyond the idea stage, so I need the entire manuscript written—from the opening pages all the way through to the final conclusion. The scope covers every chapter: introduction, literature review, methodology, data collection and analysis, results, discussion, conclusion, plus all required references and appendices. Academic rigor is paramount: every claim must be supported by credible, up-to-date sources, arguments must flow logically, and the final document must conform to standard university formatting and citation guidelines (APA/MLA/Harvard, as applicable). If statistical work is necessary, I’ll rely on you to choose appropriate methods and run them accurately in SPSS, R, or a similar tool. When you message me, focus on your dissertation-...

I have a raw sales dataset that needs to go from messy spreadsheets to an insight-rich, client-ready dashboard. First, I want the data cleaned and structured in Excel—think advanced formulas, Pivot Tables, and error checks—so every field feeds smoothly into Power BI. Once the foundations are solid, the core of the job is building an interactive dashboard in Power BI. It must spotlight the metrics that matter most to me: sales by region, sales by product category, monthly sales trends, profit margins, year-over-year growth, and customer acquisition cost. I picture a mix of bar charts, pie charts, and line graphs, complemented by KPI cards for quick reference and slicers that let users filter results on the fly. Good communication is important; I need to understand not just...

I have a Year 9 student who needs regular support in both commerce and maths. The commerce side centres on Australian consumer law, business structures and financial literacy; for maths the focus is algebra, geometry and statistics. We prefer to meet on WhatsApp and would like two 30-minute sessions each week (total one hour). If grades and confidence start climbing, I’ll happily add more time. Here’s what I need from you: • Brief lesson plan sent before each meeting so the student can preview the material • Live tutoring via WhatsApp with screen-sharing or digital whiteboard as needed • A short progress note after every session highlighting wins, sticking points and suggested practice Experience with the Australian curriculum is essential, along w...

I have a raw customer dataset that needs to be translated into clear, actionable insights about how people actually behave—purchasing habits, engagement trends, repeat-buy triggers, churn signals, and any other meaningful patterns you discover. The scope is straightforward: clean the data, choose the right statistical or machine-learning techniques, visualise the findings, and give me a concise written summary of the key behaviour patterns uncovered. I’m comfortable with whichever toolset you prefer—Python (pandas, scikit-learn, seaborn), R (tidyverse, caret), or a BI platform such as Power BI or Tableau—as long as the final output is reproducible and easy for me to explore. To gauge fit, please attach examples of past work where you turned customer data into ...

I have a sizeable set of customer demographic data—age ranges, locations, genders, income brackets and the like—and I want to turn it into clear, actionable business insights. The objective is straightforward: explore the dataset, surface meaningful patterns, and present findings that can guide our marketing and product decisions. You will receive the raw CSVs in a secure S3 bucket. Feel free to work in Python with Pandas, scikit-learn, seaborn—or any comparable stack that lets you move quickly and keeps the process fully reproducible. I’m especially interested in: • Segmenting high-value or high-growth customer groups • Highlighting correlations between demographic traits and purchasing propensity • Visualising trends in a way executives can ab...

I’m producing a steady stream of short-form videos for YouTube—quick reels and shorts that could range from travel highlights to everyday lifestyle clips or even quick tutorials. Whatever the footage, I want the final cut to feel casual, natural and authentic rather than over-produced. Your role is to take my raw clips, trim them down to punchy 15–60-second pieces, balance the audio, colour-correct where needed, and add concise text overlays or captions that reinforce the key moments. I don’t need elaborate transitions or flashy VFX; a clean edit with readable on-screen text is what matters most. Please be comfortable working in Premiere Pro, Final Cut, DaVinci Resolve or a comparable editor and delivering ready-to-upload 1080x1920 vertical files, ideally with...

I need an expert to review a medical billing coding matrix, specifically focusing on the accuracy of CPT codes used. This is for a cash based integrative office that I am doing patient billing for. The goal is to ensure that all codes are correct and up-to-date. I need a licensed coder for this. Do not respond if you are not licensed please don't respond. Ideal skills and experience: - In-depth knowledge of CPT coding for integrative offices - Experience in medical billing and coding - Attention to detail and accuracy - Familiarity with compliance regulations -Must be a licensed medical coder.

I need a complete Python pipeline that ingests CCTV streams from several in-store cameras and turns them into actionable retail metrics. Using YOLOv8 for detection, ByteTracker plus a solid Re-ID module for cross-camera identity preservation, the system must • detect and track people only (no vehicles, animals, etc.) • avoid double-counting the same shopper when they move between overlapping views • distinguish staff from shoppers so employees are never included in customer statistics • produce reliable foot-traffic counts, crowd-density heatmaps and an “entry-to-purchase” conversion figure (how many visitors become paying customers) Please deliver: 1. Well-structured, documented Python code (YOLOv8 + ByteTracker + ReID) that runs on recorded f...

I'm seeking an expert in medical research and statistics to conduct a meta-analysis on Merkel Cell Carcinoma (MCC) clinical trials. The analysis will focus on treatment efficacy and recurrence rates. Key Requirements: - Analyze more than 20 clinical trial studies - Focus on treatment efficacy and recurrence rates - Provide comprehensive statistical data and insights Ideal Skills and Experience: - Advanced degree in medical research or related field - Expertise in meta-analysis and statistical software - Experience with oncology clinical trials - Strong publication record in peer-reviewed journals Please include relevant experience in your bid.

expert to design, and develop, a System Dynamics Model to strengthen its capacity for forward-looking micro-prudential supervision and forecasting. The model will provide supervisors with a dynamic tool to better understand how financial sector risks evolve in response to macroeconomic changes, policy shifts, and institutional behaviour. The primary objective is to develop a model that: • Simulates key banking sector risk indicators, including capital adequacy (CAR), liquidity, profitability, non-performing loans (NPLs), and leverage. • Integrates key macroeconomic variables such as GDP growth, interest rates, inflation, and fiscal policy changes, allowing supervisors to assess their influence on institutional risk profiles. • Provides scenario-based early warning functional...

Need an experienced Python Quant Developer to build a backtesting and research engine for a crypto futures trading strategy (BTC and ETH perpetual futures). This is a Phase 1 research project only. I am NOT looking for a live trading bot at this stage. The objective is to validate the strategy using historical data, realistic execution assumptions, fees, slippage and performance analysis before considering live deployment.

I’m ready to send you a raw Parquet-formatted financial time-series dataset and I need it returned fully cleaned and model-ready. The work centres on four specific steps: • Handling missing values • Scaling and normalisation • Feature engineering • Producing a consolidated master database for model training Please retain the native frequency and time index, document every transformation, and return both the processed file (CSV or Parquet—whichever keeps the structure intact) and the reproducible code or notebook you used. If you’ve tackled stock or crypto data before, this should be straightforward and quick. Once I verify the dataset loads smoothly into our existing notebooks, the job is done.

I have a sizeable, time-stamped collection of vehicle telematics that combines three rich streams: • GPS data • Engine data • Driving behavior data My sole objective is to turn these inputs into an accurate, production-ready regression model that can predict and ultimately improve fuel efficiency across our fleet. The data already sits in clean CSV batches, each trip keyed by vehicle ID and timestamp; your job is to move from raw files to actionable predictions. What I need from you • Build an end-to-end data pipeline that ingests, cleans, and engineers features from the three datasets above, handling missing values and synchronizing timestamps. • Select and compare appropriate regression techniques—linear, elastic-net, gradient boosting, or any ...

I have several raw financial data sets—daily price feeds, transaction logs, and balance-sheet snapshots—sitting in CSV format. The task is to load these files into Python (think pandas and NumPy), clean and merge them where necessary, then dig into the numbers to pinpoint meaningful trends. I need clear, reproducible insight rather than black-box output, so please organise the work in a Jupyter Notebook that: • shows each transformation step, • highlights any assumptions or filters applied, and • concludes with well-labelled visualisations (matplotlib or seaborn are fine) that make the identified trends obvious at a glance. A short written summary of the findings—key upward or downward movements, cyclical patterns, and anything unusual worth fla...

I’m a freshly-graduated AI/ML engineer who wants to secure a first role in Germany, ideally within mid-sized companies that work heavily with data analysis. Because I have zero industry experience, I need an end-to-end support package that covers three areas: 1. Resume & Cover Letter • Craft an ATS-friendly résumé that highlights my academic projects, Kaggle work, and any open-source contributions, mapping them to the skills German recruiters look for in data-centric AI/ML roles. • Provide at least two reusable cover-letter templates adapted to typical mid-sized-company hiring culture in Germany. 2. Interview Preparation • Coach me through the full process: HR screening, technical rounds (Python, statistics, machine-learning theory, d...

My complete sales history is already in Excel/CSV, but for trend discovery I need you to drill down on the last twelve months, then roll those findings forward into a clear summer-season action plan. The raw file will be shared as soon as the project starts. Once you have it, please clean, explore, and model the data in Python (pandas, scikit-learn, or similar). Visual explanations through matplotlib or seaborn charts are welcome, though the centerpiece must remain a concise, manager-friendly report. Deliverables • Short report (PDF or slide deck) summarising:  – Key sales trends & purchasing patterns from the past year  – Recommended product collections most likely to resonate this summer  – Offer/discount structures that align with th...

We need a comprehensive ROI model for various investments (Alternatives, Equity, Fixed Income). The model should showcase both YTD and since inception returns. In addition build a visual for each investment and investment by custodian to allow easy insight monthly/quarterly. Requirements: - Calculate Annual Return and Quarterly Return metrics. - Use provided data: Historical investment data, Current portfolio data, Benchmark data. Ideal Skills: - Strong finance and investment knowledge - Proficiency in data analysis and modeling - Experience with diverse asset classes - Ability to present data clearly and concisely

I have consolidated Toronto police-reported crime data and now need a polished, interactive dashboard that turns those raw numbers into clear, actionable insight. The data source is strictly Police reports, already cleaned and stored in SQL tables that you can query directly. Here is what I expect you to build: • A Power BI dashboard that highlights city-wide crime trends through the following core visuals: – Bar charts – Line graphs • A concise predictive model (Python or integrated Power BI ML) that produces a city-level risk score for each major offence category. I am interested in high-level forecasting rather than neighbourhood or street granularity, so keep the model scoped to city-wide patterns. • Drill-through pages or tooltip cards that...

I’m building a new budgeting framework and need a clear, reliable model that projects our sales revenue quarter by quarter. The core focus is a dynamic budgeting model—nothing fancy on valuation or long-range strategy—just an accurate, easy-to-update tool that shows how revenue is likely to unfold through each quarter. Here’s what I’m looking for: • A clean, well-structured spreadsheet in Excel or Google Sheets, built with transparent formulas that any analyst can follow. • Dedicated input tabs for key drivers (price, volume, channel mix, seasonality). • Automatic quarterly roll-ups that flow into an income-style summary and visual dashboards. • Simple scenario toggles so I can test best, base, and downside cases without breaking the...

I need an Excel expert to help with data analysis. Requirements: - Create complex formulas and functions - Develop pivot tables and charts - Analyze data sets and provide insights - Ensure data accuracy and integrity Ideal Skills and Experience: - Proficiency in Excel, especially in data analysis tools - Strong analytical skills - Prior experience in similar projects - Ability to meet deadlines and communicate effectively

I have already submitted a research manuscript to a journal and received word that it can move forward once the language is tightened up. The editor’s main concern is sentence-level clarity—grammar, flow, and overall readability—rather than reshaping the paper’s structure or re-running any statistics. A handful of small data points in one table also need correcting so the narrative and numbers stay perfectly aligned; no larger statistical analysis is required. The journal does not impose APA or MLA formatting, so there is no heavy style-guide overhaul. What I need is: • A tracked-changes Word file showing every sentence-structure and grammar improvement. • A clean version ready for immediate resubmission. • Confirmation that the minor data edits...

I need a skilled Power BI professional to help analyze operational data. The goal is to extract insights that will drive efficiency and performance improvements. Key Requirements: - Expertise in Power BI - Strong analytical skills - Experience with operational data - Ability to create insightful dashboards and reports Ideal Skills: - Data modeling - DAX proficiency - Experience in data visualization - Background in operational metrics

I want HR analytics and excel expert who can check the data of the employess vs the career path and give me accurate data who are eligable in each level and why this employee is not eligable and put it in dashboard

I’m launching a two-year study of Lithuania’s technology sector, with a tight focus on the telecom market and, more precisely, on how customers feel, behave, and stay loyal to mobile, fixed-line, and internet providers. To make this work I need a Lithuania-based research analyst or assistant I can rely on from the first questionnaire draft to the final trend report. Here’s what I’ll count on you to handle: • Design and localise customer-satisfaction questionnaires that capture NPS, churn triggers, and usage habits. • Recruit and manage a statistically representative Lithuanian sample for each survey wave, using online panels, CATI, or in-person intercepts as appropriate. • Clean and validate raw data, then run descriptive and inferential analysis...

I want HR analytics and excel expert who can check the data of the employess vs the career path and give me accurate data who are eligable in each level and why this employee is not eligable and put it in dashboard

I am looking for a Data Analyst who can work with Excel. The goal is to organize and clean data tables, identify the best-selling products, and determine when they are most frequently ordered each month. Using charts for better visualization is preferred.

I’m preparing my master’s thesis for an MBA in Organizational Leadership and I want to centre the study on leadership styles—specifically Transformational Leadership. The goal is to investigate how transformational behaviours shape organisational outcomes and follower engagement, then translate those findings into actionable recommendations for senior management practice. My planned research strategy is a mixed-methods design: quantitative surveys to capture measurable impacts (e.g., performance metrics, engagement scores) complemented by qualitative interviews that surface richer, contextual insights from employees. I need a collaborator who can help shape each stage—from refining the core research questions through to the final discussion chapter—while ensu...