Data Analyst / Sales Analyst
Company: "Fundflow" MCHJ
Tashkent
Data Analyst / Sales Analyst - "Fundflow" MCHJ (Up to 1 year of experience) Work Format: On-site Work Schedule: 5/2, 9:00 AM - 6:00 PM Address: Tashkent city, Almazar district, Guruchariq MFY, Sagbon 30 dead end str. house 7/1 Description The position is focused on collecting, analyzing, and interpreting data to identify trends and patterns that affect sales and the company's business processes. It provides a foundation for informed decision-making. Responsibilities: Analyzing sales data and identifying key trends Creating reports and dashboards to evaluate sales performance Writing SQL queries to extract and aggregate data Preparing analytical materials for business decision-making Formulating recommendations for improving sales indicators Automating routine reports and analytical processes Interacting with sales and marketing departments to gather requirements Researching and applying new data analysis methods Requirements: Higher education (technical, economic, or mathematical) At least 2 years of experience as a data analyst Experience in collecting and analyzing business requirements Experience in writing technical specifications and documentation Experience in business process modeling (BPMN, UML) Experience in writing user stories and use cases Experience in prototyping user interfaces Experience in analyzing sales data and identifying trends Experience in forming data-driven recommendations Experience in preparing presentations with analysis results Proficient in SQL for data analysis Experience with BI tools (Power BI, Tableau, Metabase) Experience with collaboration tools (Jira, Confluence) Understanding of business process modeling principles (BPMN, UML) Data visualization and reporting skills English language proficiency at B1 level or higher
Responsibilities
- Sales data analysis and identification of key trends
- Creation of reports and dashboards to evaluate sales performance
- Writing SQL queries for data extraction and aggregation
- Preparation of analytical materials for business decision-making
- Formulating recommendations for improving sales metrics
- Automation of routine reports and analytical processes
- Interaction with sales and marketing departments to gather requirements
- Research and application of new data analysis methods
Requirements
- Higher education (technical, economic, or mathematical)
- At least 2 years of experience as a Data Analyst
- Experience in collecting and analyzing business requirements
- Experience in writing technical specifications and documentation
- Experience in business process modeling (BPMN, UML)
- Experience in writing user stories and use cases
- Experience in user interface prototyping
- Experience in sales data analysis and trend identification
- Experience in forming data-driven recommendations
- Experience in preparing presentations with analysis results
- Proficient SQL for data analysis
- Experience with BI tools (Power BI, Tableau, Metabase)
- Experience with collaboration tools (Jira, Confluence)
- Understanding of business process modeling principles (BPMN, UML)
- Data visualization and reporting skills
- English language proficiency at B1 level or higher
Benefits
- Official employment according to the Labor Code of the Republic of Uzbekistan
- Transparent salary, paid twice a month
- Flexible working hours with a start time between 9 AM and 11 AM
- Payment for professional courses and certifications
- Training budget up to $500 per year
- Work laptop and a second monitor
- Voluntary medical insurance after the probation period
- Paid sick leave
- Salary review every 12 months
- Payment for participation in industry conferences
Skills
- Business requirements gathering and analysis
- Technical specification and documentation writing
- Business process modeling (BPMN, UML)
- User story and use case writing
- User interface prototyping
- SQL for data analysis
- Working with BI tools (Power BI, Tableau, Metabase)
- Data visualization and report building
- Sales data analysis and trend identification
- Forming data-driven recommendations
- Preparing presentations with analysis results
- Working with collaboration tools (Jira, Confluence)