Data Analyst
Pioneer Consulting Services LLC
Plano, TX, United States
4 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
Amazon Web Services
Data Analysis
Microsoft Azure
Information Systems
Databases
Data Cleansing
Extract Transform Load (ETL)
Data Visualization
Data Warehousing
Database Queries
Python (Programming Language)
+11 more
PostgreSQL
Microsoft SQL Server
MySQL
Oracle (Applications)
Pivot Tables
Power BI
Cloud Services
SQL Databases
Tableau (Software)
Google Cloud
Information Technology
Job description
Collect, clean, validate, and analyze data from multiple sources.
- Write SQL queries to extract, transform, and manipulate datasets.
- Develop and maintain dashboards and reports using Power BI, Tableau, or similar tools.
- Perform exploratory data analysis to identify trends, patterns, and business opportunities.
- Prepare recurring and ad hoc reports for business stakeholders.
- Collaborate with business, product, finance, and technical teams to understand reporting requirements.
- Identify data quality issues and recommend solutions.
- Track key performance indicators (KPIs) and prepare actionable insights.
- Document analytical processes, reports, and data definitions.
- Support data-driven decision-making through clear presentations and visualizations.
Requirements
1 5 years of experience in data analysis, reporting, business intelligence, or a related field.
- Strong SQL skills (joins, aggregations, subqueries, CTEs).
- Proficiency in Microsoft Excel (PivotTables, lookup functions, data cleaning).
- Experience with Power BI, Tableau, or similar data visualization tools.
- Knowledge of data cleaning, validation, transformation, and reporting.
- Strong analytical, problem-solving, and communication skills.
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Ability to interpret data and communicate findings to technical and non-technical stakeholders. Preferred Qualifications
- Experience with Python or R for data analysis.
- Familiarity with databases (SQL Server, MySQL, PostgreSQL, Oracle).
- Exposure to cloud data platforms (AWS, Azure, Google Cloud).
- Knowledge of ETL/ELT processes and data warehousing concepts.
- Bachelor s degree in a relevant field (Computer Science, Information Systems, Statistics, Mathematics, Business Analytics) or equivalent experience., 1 5 years of relevant experience.
- Hands-on expertise in SQL, Excel, dashboards, and data analysis.
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Interested in solving real-world business problems through data. Application Instructions
- Submit updated resume, current location, relevant technical skills, total experience, work authorization status, and preferred work location.
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Prepare application
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