Sr. Data Analyst

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - 12 Month(s)

Skills

Agile
Amazon Web Services
Analytics
Apache Hadoop
Apache Spark
Big Data
Business Intelligence
Cloud Computing
Collaboration
Communication
Dashboard
Data Analysis
Data Extraction
Data Governance
Data Migration
Data Quality
Data Visualization
Data Warehouse
Decision-making
Extract
Transform
Load
Finance
Google Cloud
Google Cloud Platform
Health Care
Machine Learning (ML)
Meta-data Management
Microsoft Azure
Microsoft Excel
Microsoft Power BI
Predictive Modelling
Presentations
Python
R
Relational Databases
Reporting
Retail
SAS
SQL
Scrum
Statistics
Strategic Planning
Tableau
Visualization

Job Details

Job Summary

We are seeking a highly skilled and experienced Senior Data Analyst to join our team. The ideal candidate will have over 10 years of experience in data analysis, reporting, and visualization, with a strong ability to translate business requirements into actionable insights. This individual will play a key role in driving data-driven decision-making across departments.

Key Responsibilities

  • Collect, clean, analyze, and interpret large datasets from multiple sources.

  • Develop, maintain, and automate dashboards and reports using tools like Power BI, Tableau, or similar.

  • Collaborate with business stakeholders to understand requirements and deliver data insights.

  • Build and maintain ETL pipelines and ensure data quality and consistency.

  • Perform advanced statistical and predictive analysis to support strategic planning.

  • Document data definitions, metrics, processes, and governance standards.

  • Identify trends, correlations, and patterns in complex data sets.

  • Communicate findings clearly to both technical and non-technical stakeholders.

  • Support data migration and integration projects, including cloud transitions.

Required Qualifications

  • 10+ years of experience in data analytics, business intelligence, or a related field.

  • Expertise in SQL for data extraction, transformation, and querying.

  • Advanced proficiency with data visualization tools (Power BI, Tableau, Looker, or similar).

  • Strong understanding of data warehousing concepts and ETL processes.

  • Experience with statistical analysis and tools (Python, R, Excel, or SAS).

  • Solid understanding of relational and non-relational databases.

  • Experience working with large and complex datasets from different domains.

  • Proven ability to translate business problems into technical solutions.

  • Strong communication, presentation, and interpersonal skills.

  • Experience working in Agile or Scrum environments.

Preferred Skills

  • Experience with cloud platforms (Azure, AWS, or Google Cloud).

  • Familiarity with big data technologies (Spark, Hadoop).

  • Knowledge of data governance, data cataloging, and metadata management.

  • Background in finance, healthcare, or retail analytics is a plus.

  • Exposure to machine learning or predictive modeling concepts.

Education

  • Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Economics, or a related field.

To Apply: Please submit your updated resume and contact information. This is a W2 position only. No C2C or sponsorship available at this time.

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