lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: upper


I have 1 year of experience as Data Analyst. I am versatile individual with experience collecting,
transforming, and organising data for analysis to help make informed decisions. Having excellent
understanding about proficiency of platforms for effective data analyses, including spreadsheets, Excel,
Power BI, Oracle SQL and Phyton. Additionally I have strong communication, organisational, punctual and
analytical skills
Position: Data Analyst
Category: Data Science
Experience: 1 years | English: upper


I have 1 year of work experience as a freelancer data analyst working on various.
1. I have been a team leader from start to end on designing and implementation of an app database.
2. I have created dashboards with Tableau for my clients to track KPIs on metrics such as revenue.
3. I have created and maintained data pipelines from websites to a database.
Python, SQL and Tableau are the technologies that i have widely used.
Currently i am a freelancer data analyst and would like to improve on my machine learning skills to be able to create more accurate algorithms
Position: Data Analyst
Category: Data Analyst
Experience: 8 years | English: fluent


I have 2 master's degrees in IT and economics, I am learning an MBA now. I am an expert
in working with data and I really love it!

During the last eight years, I worked on four big successful projects in the web app and
CRM development, as a Developer, Business Analyst, and Team Lead.

I managed full-stack web apps, websites, CRM systems, dashboards for the Business
owners, CEO, and CFO: profit analysis, revenue reporting, sales distribution, effectivity, and
financial metrics. I have conducted several market research (gathering data) and created
long-term prognoses, based on predictive analytics. For the team leads, I created reports:
on sales, client relations, communication, and the effectiveness of marketing campaigns.
In one of the projects I managed the creation of a CRM system within the Oracle
environment for a big industrial company with a T-SQL database of 2000 clients with
contacts, interactions, and prospect data; summarized 20Gb data in reports on financial
results, departments, countries with multiple optioning; implemented data mining and
predictive analytics methods; optimized production plan according to the most profitable
sales prediction and workforce distribution - everything was based on complex queries. I
also worked in the Upwork internal system, which used Postgre SQL to operate billions of
rows with complex queries, joins, and access rights.


I am proficient in working in the Google environment (Google Cloud, Google Scripts,
Google Analytics) and data visualization tools like Google Big Query, Data Studio, Tableau,
PowerBI, and Excel Data Analysis pack, integrations of Salesforce, Priority, and
Woocommerce sales data into analytical dashboards (REST API, API integration, pipelines
to analytical dashboards (BigQuery, Data Studio).
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: intermediate


I have 2 years of experience as an analyst in the HR department in retail companies. My primary focus was involved on:
- creating dashboards with key metrics, 
- creating tools and reports with data from internal databases,
- automating processes of working with data.
In my work I used such tools as Google Sheets, Google Data Studio, Microsoft Excel, Microsoft Power Query/ Power Pivot, 1C.
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: fluent


I have 2 years of experience, during which I have done all kinds of analytical tasks with help of Python, SQL and Excel, from just transforming datasets and gathering insights to constructing complex algorithms.

On my first job I was just completing technical tasks on processing and transforming data, mainly using Pandas and adding libraries as needed. For example, I have developed a script which takes geographical coordinates of any point on the US map and constructs a list of all postal zip codes around this point within specific distance, with data such as population, size and so on. Then I took these zipcodes and divided them into arbitrary number of clusters with similar size and population using ML libraries like scipy and TPOT. I have also completed tasks with calculating something in Pandas dataframes, pulling data from API and so on.

On my current job I've been processing and analyzing data on startup ecosystems. We construct rankings on startup ecosystems based on the proprietary algorithm with complex calculations and about 40 different parameters. Here I'm very involved with Python (Pandas, Numpy, requests, some data modelling), SQL and complex sheets in Excel and Google Sheets, constantly pulling data from the database and REST API.
Position: Data Analyst
Category: Python
Experience: 0.5 years | English: intermediate


I have 2 years of experience in analyzing various complex mathematical
models. Understanding of OOP, Web Development, Rest API. I have the
skills to analyze and calculate various data. I have experience in developing a web application in Flask using databases
Position: Data Analyst
Category: Business Analyst
Experience: 2 years | English: fluent


I have 2 yrs experience, having worked as a data clerk in my earlier days.I am well versed in SQL,excel, tableau and power bi in analysis and visualization of data.Currently I am a freelance gig worker ready to help scale and improve businesses whilst growing my personal skills and learning new challenges
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: upper


I have 3 months internship experience on Data Analysis in Innovation and Digital Development Agency, then I have worked for 2 years as a tutor of Data Analysis in EdTech Azerbaijan and now I am intern at QSS Analysis as Machine Learning Engineer in Azerbaijan.
I am expecting to start working with a great team, great atmosphere and also the environment that treats gentle for their all employees.
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: pre


I have 3 year of professional experience in Software development. Right now my responsibilities are : To design software solutions in order to meet the needs of customers through their individual efforts. Getting ready to adapt to new programming languages, methodologies, and platforms in order to meet project requirements. Code review, document writing, and compliance with test procedures. The subsequent requirements may reflect the design of the components. Write and maintain accurate and complete documentation of the program's functionality and the changes made. Fixing software bugs and user complaints of programs. Participate daily weekly and etc. agile meetings to discuss all the aspects of the project we are working on Taking responsibility for making technical decisions by using the means provided for the simplification of processes. Support and develop existing code, participate in software verification and development. Work with socket, web service, and Firebase technologies to provide a real-time chat experience.
Position: Data Analyst
Category: Business Analyst
Experience: 0.5 years | English: intermediate

I have 3 certificates from Data analysis 
-Excel
-Oracle SQL
-Power bi
And now, i started to learn python and tableau.
I have 3 years about crypto industry (trading, business development, education and training). And now, I'm looking for data analysis jobs
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: fluent


I have 3+ years experience in data analysis using the following technologies, python, SQL, excel and power BI. I have analyzed data ranging from various industries such as health, government institutions and transport sector. In these industries, I have been able to story tell financial, human resource, stores and research data. Currently I am working as a business intelligence developer using Power BI and SQL majorly. I am also learning tableau to add into the number of tools that I am proficient in.
Position: Data Analyst
Category: Data Analyst
Experience: 4 years | English: intermediate

During my work experience I automated the analysis process, which reduces time by up to 80%; regularly reported and summarized the results.

During my studies, I had many practical tasks that helped me improve my data analysis skills. As a result, I created dashboards that demonstrated the current situation of the product, also data analysis was performed on an open dataset coming from Airbnb and successfully finished the Capstone Project from IBM SkillsBuild.
I have 4 years experience in analyzing complex datasets, deriving actionable insights, and contributing to data-driven strategies for business growth, including:
- collecting requirements and creating dashboards that help in business development;
- analyzing the effectiveness of  implemented changes in applications, advertising campaigns;
- finding ways to influence business development;
- regularly reporting and summarizing the results;
- automation of the analysis process, which reduces time by up to 80%;
- planning and forecast.
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Projects on my Data Analysis Courses:

Revenue Analysis: analysis of the distribution of app revenue over time, as well as by app and location. Used tools: Tableau Public Desktop.
Event Analysis: analysis the users behavior before first payment. Used tools: Tableau Public Desktop.
Salses visualisation: the goal was to visualize the sales of one company in Asia in the context of product line, cities and by month. Used tools: Power BI Desktop.

Capstone project in IBM SkillsBuild Europe Delivery: the goal was analysis of the distribution of bookings among AirBnB properties in the USA, taking into account the peculiarities of the area, booking conditions and pricing policy. 
Used tools: Python (Numpy, Pandas, Seaborn, Matplotlib)
I am eager in further development as a data analyst, I hope for interesting tasks and motivating projects. For me, it is very important to work in an employee-friendly environment with a goal-oriented, outgoing and supporting team. Not interested in working with betting or gambling.
Position: Data Analyst
Category: Data Analyst
Experience: 5 years | English: fluent

Start-up
- Attracted investments in the project (built a financial model, an interactive dashboard, and a pitch deck for potential investors)

Corporate exp.
- Using scripts (VBA Macros, Bat files, etc.)  increased team efficiency by 30%
- Financial investigation in CapEx in Plant (more than $150m 
of costs)
- Developed the tool for Project Portfoio optimisation
I have 4 years of experience in international consulting. my primary responsibilities were financial investigation (financial and non-financial data analysis)

After that, I was a part of the Think Tank of the national program "Digital Economy" in the role of Chef Analytic the responsibilities include conducted research and developing models for data-driven decisions. 

My most recent role was in a start-up ,combining data analyst and financial director responsibilities. 
I managed to attract investment by developing an interactive dashboard for potential investors and business models. Next, I developed an analytical dashboard for summarising all financial information in one place.

The main tools which I used in my work were SQL, Power Query and Power BI. In my prior main career, I was working part-time at Bloomberg making financial models and company valuation models

Currently, I am looking for new career opportunities in data analysis and data science
I am not interested in working in Gambling, Microfinance Organizations
Position: Data Analyst
Category: Data Analyst
Experience: 5 years | English: intermediate

- Was the only specialist in the prom.ua support team to be promoted to L2 within 4 months after joining the company (other L2 colleagues had 2+ years of experience)
 - Was the one hired out of 3 interns in the prozzoro program
 - Had a rapid career growth: from Junior DA to Analytics Guildmaster (with 12 analysts on a team) in less than two years
 - Developed a prediction system for traffic estimation
I have 5 years of experience as a data analyst, 4 of which are within my current company. I joined the company as the second analyst in the position of Junior Data Analyst. From day one, I took an active part in the creation of the analytics department. I got the first person to mentor a little less than a year after I joined, and, in addition to solving regular tasks, I started integrating analytics into different parts of the business. I spent the last 3 years managing analysts (both teams of 3 people and a department of 12). Currently, I am responsible for marketing analytics and have 5 people under my command.

Most of my hands-on experience is with the following:
 - Forecasting in a transactional business model with whale users. I predicted the long-term traffic payback and calendar net profit of the project with the help of chain coefficients. Used regression models to identify the cost per conversion/lead based on prediction.
 - Evaluation of A/B tests. Full support from test setup and selection of metrics to evaluation. Used simple conversion tests of the Xi-square type and proportional test. Also experimented with sequential analysis (Wald test), bootstrap, and permutation tests.
 - Monitored the release of new functionality and its impact on funnels.
 - In close collaboration with the company's CEO, carried out research on business problems that directly affected the company's revenue.
 - Covered business areas with reporting and dashboards.

As a team leader/guild-master I was responsible for:
 - Set up and management of interaction processes with key stakeholders in terms of their expectations and task delivery.
 - Tasks prioritization.
 - Recruitment, onboarding/offboarding of analysts.
 - Performance evaluation, salary and grade reviews.
I am looking for a company with a friendly atmosphere and zero bureaucracy. Ready to work both as a team member and as a team leader. I am also considering the position of the first analyst in a startup for further team build-up.
I value the opportunity to learn something new, so it would be an advantage if the team I'll join regularly attended conferences and was interested in the world of analytics outside the company.
I feel rather strongly about the niches I work in so I won't consider any scam niches.
Position: Data Analyst
Category: Data Analyst
Experience: 5 years | English: upper


I have 5+ years of experience as a Data Analyst. I have successfully worked on world famous games with an audience of 10 000 000 players. In total it was 12 games (iOS, Android). I also have experience in market analysis for online and offline businesses.

A wide and varied expertise allows me to look at the product from different angles. I am proud of the fact that I can find the optimal solution that will satisfy the requirements of users and lead to the growth of the company's profit.

I'm obsessed with study and constantly improve my skills (just look at my Education section in my CV)

TechStack:
My SQL, BigQuery, Power BI, Python, Firebase and Unity A/B tests, MS Excel, Google Sheets, Google Analytics, GTM

Experience:

since 2020 - Game Product Analyst
Responsibilities:
- collection, aggregation, and processing of data (BigQuery, MS Excel, Google Sheets, Data Studio, Google Analytics);
- executing A/B tests, their analysis (Firebase, Unity Dashboard);
- data visualisation (Power BI);
- analysis of user behaviour;
- making recommendations for improving the product; team support (technical documentation, etc)

2018-2020 - Senior Marketing Analyst
- marketing and business analytics;
- conducting market research of competitors and the target audience; 
- development and implementation of a product promotion strategy in online and offline communication channels;
- launch advertising campaigns on Facebook Ads;
- setting up Google Analytics through Google Tag Manager;
- conducting SEO and SMM audits.

Results and additional information in my CV
Position: Data Analyst
Category: Data Analyst
Experience: 5 years | English: intermediate


I have 5 years of experience. As an analyst, I have used visual growth charts to show my clients how each savings plan option can impact their goals. When I became an analyst, I led other analysts and coached them on how to deliver the best possible experience for our clients. As your analyst, I strive to use my personal touch to help clients build a plan they can depend on.
Position: Data Analyst
Category: Data Analyst
Experience: 5 years | English: upper

I've finished more than 20 courses around technical and soft knowledge. And I continue to learn on daily basis.
I have 5 years of experience in different companies in different roles. I've worked for 2 years as an ERP Consultant in a consulting company, where we've implemented and adapted all business processes to the ERP system and created various types of reports and dashboards regarding customers' requests. I've also worked in different roles (ERP and Data Analyst) in other companies. Throughout my career, I've used SQL (Oracle, MSSQL), PL/SQL, Power BI, Python (Pandas, NumPy, Matplotlib, Seaborn, Plotly, etc.), Crystal Reports, Excel (Power Pivot, Power Query), Excel VBA (for creating some applications and automating some calculations and reports), and other tools. Also, I am eager to learn new technologies and tools.
Position: Data Analyst
Category: Data Analyst
Experience: 7 years | English: fluent

Currently I study MSc Computer Science with Artifical Intelligence at Keele University in online mode. 

I have studied MBA in sales & marketing in Switzerland in 2014-2015. Then I have pursued MSc in Big Data Analytics for Business at IESEG School of Management in France.
I have 5 years of experience in retail banking, telecommunication and insurance sector as a marketing data scientist.

I have worked for in travel insurance unit of Allianz Worldwide Partners in Paris as a customer data analyst. I have segmented insurance holders based on their demographic information and claims. I have also built regular and ad hoc reports in Tableau.

Since 2017 till 2019 I worked at Kapital Bank, the largest retail bank of Azerbaijan as a senior customer data analyst. I was a project coordinator from Kapital Bank side in Customer Lifecycle Management project run with McKinsey. I have built customer response models in order to boost ROI of campaigns, segmented transactional behavior of credit card users applying advanced statistical and machine learning techniques using R. Along with it I have automatized regular reports with easily understandable, business friendly visualizations via Tibco Spotfire.

Since 2019 I work for Bakcell, the second largest telecommunication company of Azerbaijan as a head of CRM unit. My main responsibility is develop CRM strategy of the company. I build and run marketing campaigns to increase customer engagement, profitability and decrease the churn rate. I have managed Churn & Segmentation model building projects. My unit could increase profitability of CRM campaigns up to 15% in 2020 (during lockdowns) compared to previous years. I mainly use Excel, R for data analysis and reporting. On regular basis I provide upper management with presentations in PPT.

Currently I work for Azerlotereya, betting & lottery company of Azerbaijan.

My main career goal is to become marketing data scientist expert in world class.
Position: Data Analyst
Category: Other
Experience: 5 years | English: upper


I have 5+ years of experience in the United Nations Development Programme in Ukraine with the main tasks:
•	Management of operational and financial processes.
•	Support programme management in the drafting budgets, annual work plans and revision of them.
•	Analysis data of expenditures and delivery of programme against the approved budgets. 
•	Financial reporting, delivery forecasts and predictions, including monthly and quarterly disbursement reports and financial reports for donors and stakeholders.
•	Quality control of supporting documents for payments to vendors and control the process of pay-cycle done in time.

And 4 years of experience in the National bank of Ukraine in the field of audit of commercial banks in aspects of financial monitoring system and core business processes.
I would like to have challenging tasks in a project to develop myself in the analysis of data, learning new approaches and technologies.
Position: Data Analyst
Category: Data Science
Experience: 2.5 years | English: pre


I have 5 years of professional experience working in Information Technologies (IT).
For the last 2+ years, I have experience in business analysis in the Healthcare domain, requirement management and the rest of the experience in data analysis.
My experience includes enterprise software analysis, business analysis, process improvement, user training.
Business Intelligence Software: PowerBI, Tableau
Professional growing, strong management and team
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: upper

One of the selected 40 participants out of thousands of people resulted from various examinations and an interview. Learned lots of necessary tools and libraries such as Python, MS SQL, Tableau, Machine Learning, and Deep Learning algorithms thanks to working on several projects.
I have 7 months of work experience as Data Analyst in QSS Analytics, which provides data-based courses in Azerbaijan. 
My responsibilities were:
- Creating dashboards in Tableau to report weekly results.
- To ensure lessons'  quality 
- Updating Excel sheets when needed.
- Creating SQL Queries to find specific quickly data by filtering on specific criteria (conditions).
- Building Machine Learning models that predict house prices based on real-world data(Bina.az).
- Creating new practice materials for the course.
- Content writing for helping marketing.
- Conducting dialogues with students that need mentor meetings.

Currently that I am data scientist at Caspian Tech CSJC since November 2022.
My responsibilities are:
- Creating some reports in Tableau. Analyze complex sets of
data to identify data trends, and anomalies.
- Data cleanup on multiple platforms ensures data quality and
accuracy.
- Collecting past and present data, analyzing collected data, using relevant computer software, and finding ways to improve operations and reduce risks and costs.
Seeking employment with a company that has strong ethics and passion for people, to its fullest potential. would like to try me in the position of a data analyst.