Job Title: Data Analyst
PRIVATE PRIVATE
United States
25 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
Tech stack
Microsoft Excel
Application Programming Interfaces (APIs)
Amazon Web Services
Data Analysis
Microsoft Azure
Big Data
BigQuery
Data Validation
Data Cleansing
Data Governance
Data Integration
Extract Transform Load (ETL)
+27 more
Data Visualization
Relational Databases
Google Analytics
Python (Programming Language)
PostgreSQL
Lookup Table
Machine Learning
Microsoft SQL Server
MySQL
NumPy
Oracle (Applications)
Pivot Tables
Power BI
SQL Databases
Tableau (Software)
Freeform SQL
Google Cloud
Macros
Azure Data Factory
Snowflake
Apache Spark
Powerquery
Pandas
Matplotlib
Information Technology
Data Analytics
Databricks
Job description
We are looking for an experienced Data Analyst with 5-8 years of experience who can transform complex data into meaningful insights to support business decision-making. The ideal candidate should have strong analytical skills, hands-on experience with SQL, Excel, BI tools, and data visualization, along with the ability to work with cross-functional teams., * Collect, analyze, and interpret large datasets from multiple sources.
- Develop dashboards, reports, and visualizations using Power BI, Tableau, or similar BI tools.
- Write complex SQL queries to extract, manipulate, and validate data.
- Perform data cleaning, transformation, and validation to ensure data quality.
- Analyze business trends, customer behavior, and operational performance.
- Generate actionable insights and present findings to business stakeholders.
- Work closely with business teams to understand reporting requirements.
- Create automated reports and improve reporting efficiency.
- Monitor KPIs and identify opportunities for business improvement.
- Collaborate with Data Engineers and Data Scientists on data initiatives.
- Ensure data governance, consistency, and accuracy across reporting systems.
- Document analytical processes, reports, and data definitions.
Requirements
Technical Skills
- Strong proficiency in SQL
- Advanced Microsoft Excel (Pivot Tables, Power Query, VLOOKUP/XLOOKUP, Macros)
- Power BI or Tableau
- Python (Pandas, NumPy, Matplotlib, Seaborn) or R
- Data Modeling
- Data Cleaning & Data Validation
- ETL Concepts
- Statistics and Data Analysis
- Experience with relational databases (SQL Server, MySQL, PostgreSQL, Oracle)
Good to Have
- Azure Data Factory / AWS / Google Cloud Platform
- Snowflake
- Databricks
- BigQuery
- Apache Spark
- Knowledge of Machine Learning fundamentals
- Experience with APIs and data integration, * Bachelor’’s or Master’’s degree in Computer Science, Information Technology, Statistics, Mathematics, Data Science, or a related field.
- 5-8 years of experience in Data Analysis or Business Intelligence., * Strong experience in SQL query writing and optimization.
- Hands-on experience with Power BI or Tableau dashboard development.
- Experience in data visualization and storytelling.
- Experience working with large datasets.
- Knowledge of statistical analysis techniques.
- Experience working in Agile/Scrum environments.
- Strong problem-solving and analytical skills.
Soft Skills
- Excellent communication and presentation skills.
- Strong analytical and critical thinking abilities.
- Attention to detail.
- Ability to manage multiple projects simultaneously.
- Stakeholder management skills.
- Team collaboration and mentoring abilities.
Preferred Certifications
- Microsoft Certified: Power BI Data Analyst Associate
- Google Data Analytics Professional Certificate
- Tableau Certified Data Analyst
- Microsoft Azure Data Fundamentals
- AWS Certified Data Analytics (Preferred)
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