Data Analyst

The Rose
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior

Job location

Remote

Tech stack

Microsoft Excel
Microsoft Windows
Amazon Web Services (AWS)
Data analysis
Azure
Big Data
Cloud Computing
Databases
Data Cleansing
ETL
Data Transformation
Data Visualization
Database Queries
Linux
Document-Oriented Databases
Python
PostgreSQL
Lookup Table
MySQL
NumPy
Pivot Tables
Power BI
Standard Sql
SQL Databases
Tableau
Scripting (Bash/Python/Go/Ruby)
Google Cloud Platform
Pandas

Job description

  • Collect, clean, and validate data from multiple sources
  • Analyze datasets to identify trends, patterns, and insights
  • Create dashboards and reports for business stakeholders
  • Write SQL queries to extract and manipulate data
  • Perform data visualization using tools like Power BI or Tableau
  • Assist in data modeling and reporting processes
  • Collaborate with cross-functional teams to understand data requirements
  • Ensure data accuracy, consistency, and integrity
  • Automate repetitive data tasks and reporting processes
  • Document data processes and analysis findings, * Analyzed large datasets using SQL and Excel to generate insights
  • Created interactive dashboards using Power BI/Tableau
  • Cleaned and transformed data to improve data quality and accuracy
  • Automated reporting processes using Python scripts
  • Collaborated with teams to deliver data-driven solutions

Requirements

  • Strong knowledge of SQL for data querying
  • Proficiency in Excel (Pivot Tables, VLOOKUP, formulas)
  • Basic knowledge of Python or R for data analysis
  • Understanding of data cleaning and preprocessing techniques
  • Familiarity with data visualization tools (Power BI, Tableau)
  • Basic knowledge of statistics and data analysis concepts
  • Problem-solving and analytical thinking skills, * Experience with data visualization tools (Power BI, Tableau)
  • Familiarity with ETL processes
  • Basic understanding of databases (MySQL, PostgreSQL)
  • Knowledge of business intelligence concepts
  • Exposure to cloud platforms (AWS, Azure, Google Cloud Platform)
  • Experience with pandas, NumPy, or similar libraries, * Languages: SQL, Python/R
  • Tools: Excel, Power BI, Tableau
  • Databases: MySQL, PostgreSQL
  • Libraries: pandas, NumPy
  • Platforms: Windows/Linux

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