Sr Data Analyst onsite @ Philadelphia, PA

Jobs via Dice; Philadelphia (Philadelphia County); On-site; USD 90,000 - 130,000; Full time

Job summary

A leading technology firm is seeking a Senior Data Analyst to join their team in Philadelphia. The role involves analyzing complex datasets, creating visualizations, and collaborating with various departments to drive strategic decisions. Candidates should have extensive experience in SQL and Python, along with strong analytical skills and a commitment to data quality.

Qualifications

• 6+ years in data analytics or related fields, preferably in telecommunications.
• Experience in SQL, Python, Tableau, and Databricks.
• Certifications in analytics/AI are a plus.

Responsibilities

• Analyze large datasets to extract insights and create visualizations.
• Optimize data workflows for large-scale data processing.
• Present findings to leadership and align analysis with business strategy.

Skills

Analytical skills

Problem-solving skills

SQL

Python

Data visualization

Collaboration

Education

Bachelor's or Master’s degree in Data Science, Statistics, Computer Science, Engineering, Business

Tools

Tableau

Databricks

Spark

Job description

Sr Data Analyst onsite @ Philadelphia, PA

21 hours ago Be among the first 25 applicants

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Msquare Technologies, is seeking a Senior Data Analyst. Apply via Dice today!

Job Description

This is an onsite role with a minimum of 4 days in the office.

Responsibilities and Requirements

• Experience & Domain Knowledge: 6+ years in data analytics or related fields, preferably in telecommunications and networking. Experience in data analysis or data scientist roles.
• Data Analysis Skills: Strong analytical and problem-solving skills. Proficiency in SQL for querying large databases and Python (pandas, numpy, etc.) for data analysis and scripting. Ability to manipulate and analyze large datasets to extract insights.
• AI/ML & LLM Proficiency: Experience with machine learning or advanced analytics techniques. Familiarity with frameworks like scikit-learn or TensorFlow, and knowledge of Large Language Models (LLMs) or natural language processing is a plus.
• Data Visualization: Ability to create dashboards and visualizations using Tableau or Power BI. Skilled in storytelling with data and making complex data understandable.
• Big Data Platforms: Experience with Databricks or Spark for distributed data processing. Ability to optimize data workflows for large-scale data.
• Quality & Strategy: Commitment to data quality, data governance, and aligning analysis with business strategy. Ability to present findings to leadership and translate data into strategic recommendations.
• Collaboration & Independence: Self-starter capable of managing projects independently and collaborating across departments.

Minimum Education & Skills

• Bachelor's or Master’s degree in Data Science, Statistics, Computer Science, Engineering, Business, or equivalent experience. Certifications in analytics/AI are a plus.
• Must Have Skills: 7+ years in SQL, Python, Tableau, Databricks, and 5+ years in AI/ML.

Additional Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology
• Industries: Software Development