Senior Data Analyst

Overview

On Site
Depends on Experience
Contract - W2
Contract - 6 Month(s)
No Travel Required
Unable to Provide Sponsorship

Skills

Apache Spark
Amazon Redshift
Analytics
Amazon Web Services
Artificial Intelligence
Business Intelligence
Clustering
Communication
Cloud Computing
Dashboard
Economics
Finance
Data Science
Critical Thinking
Data Analysis
Data Modeling
Forecasting
Extract, Transform, Load
Conflict Resolution
Apache Hadoop
Microsoft Azure
Microsoft Power BI
Good Clinical Practice
Health Care
Mentorship
Mathematics
Computer Science
Google Cloud Platform
Management
Microsoft Excel
Predictive Modelling
Machine Learning (ML)
Data Management
Problem Solving
Collaboration
Data Warehouse
KPI
Regulatory Compliance
Testing
Retail
Requirements Elicitation
Decision-making
Qlikview
Regression Analysis
Data Quality
SQL
R
Python
Big Data
Statistics
Snow Flake Schema
Visualization
Tableau

Job Details

Job Title: Senior Data Analyst

Job Summary:

We are seeking an experienced Senior Data Analyst with 10+ years of proven expertise in data analytics, business intelligence, and data-driven decision-making. The ideal candidate will have deep knowledge of data modeling, statistical analysis, visualization, and modern data platforms, and will play a key role in driving business insights and strategy through advanced analytics.

Key Responsibilities:

  • Lead end-to-end data analysis projects, from requirements gathering to insight delivery.

  • Collaborate with business stakeholders to identify opportunities for leveraging data to drive business solutions.

  • Develop and maintain dashboards, reports, and visualizations to track KPIs and business metrics.

  • Perform advanced statistical analysis, predictive modeling, and forecasting to support strategic decisions.

  • Work with large, complex datasets (structured and unstructured) to derive actionable insights.

  • Mentor and guide junior analysts on best practices in data management and analytics.

  • Ensure data quality, governance, and compliance with organizational and regulatory standards.

  • Partner with Data Engineers and Data Scientists to optimize data pipelines and implement advanced analytics solutions.

  • Present findings and recommendations to senior management and cross-functional teams in a clear, compelling way.

Required Skills & Qualifications:

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

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

  • Strong expertise in SQL, Python/R, Excel, and data modeling.

  • Hands-on experience with BI & visualization tools such as Tableau, Power BI, or QlikView.

  • Deep knowledge of statistical techniques, hypothesis testing, regression, clustering, and forecasting.

  • Experience with cloud platforms (AWS, Azure, Google Cloud Platform) and big data tools (Spark, Hadoop) is a plus.

  • Strong problem-solving, critical thinking, and communication skills.

  • Ability to manage multiple projects simultaneously and deliver insights under tight deadlines.

Preferred Qualifications:

  • Experience working in domains such as Finance, Healthcare, Retail, or Technology.

  • Exposure to machine learning models and AI-driven analytics.

  • Knowledge of ETL processes, data warehousing (Snowflake, Redshift, BigQuery).

  • Proven track record of influencing business outcomes through data insights.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.