Data Analyst
Data Analyst
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
Location: Philadelphia PA (4 days a week onsite)
Duration: 12 Months
Must have:
SQL Python Tableau Data bricks AI/ML
Requirements:
Experience & Domain Knowledge: 6 years of experience in data analytics or a related field preferably in the networking experienced in data analysis/data scientist roles.
Data Analysis Skills: Exceptional analytical and problemsolving skills. Advanced proficiency in SQL for querying large databases and Python for data analysis (pandas numpy etc.) and scripting. You can efficiently manipulate and analyze large datasets to extract meaningful insights.
AI/ML & LLM Proficiency: Experience with machine learning or advanced analytics techniques. Exposure to AI/ML frameworks (such as scikitlearn or TensorFlow) and familiarity with Large Language Models (LLMs) or natural language processing is a big plus youre comfortable exploring new AIdriven approaches to glean insights from data (structured or unstructured).
Data Visualization: Proficiency in creating clear and compelling dashboards and visualizations using Tableau or Power BI (or similar tools). You know how to tell a story with data highlight key metrics and make complex data understandable to nontechnical stakeholders.
Databricks & Big Data: Experience working with big data platforms like Databricks (or Spark) to perform distributed data processing and advanced analytics. Ability to optimize data workflows and handle largescale data (e.g. streaming data from telecom networks or highvolume customer transaction data).
DetailOriented & QualityFocused: Demonstrated commitment to data quality and accuracy. Experience with data assurance practices data governance or QA in analytics projects you ensure the insights you provide are rocksolid and reliable.
Strategic Mindset: Ability to see the big picture and align analysis with business strategy. As a senior professional you can prioritize analysis that drives strategic decisions and not just produce reports.
Youre comfortable presenting to leadership and can translate data findings into strategic recommendations.
Independent & Collaborative: Selfstarter who can drive projects with minimal guidance and a team player who collaborates well across departments. You can independently manage your workload and also work in tandem with others for example pairing with a data engineer to improve data pipelines or brainstorming with a product manager on what metrics best define success for a new initiative.
Education: A Bachelors or Masters degree in a relevant field (e.g. Data Science Statistics Computer Science Engineering or Business).
Equivalent handson experience and certifications in analytics/AI are also considered.
Employment Type
Full Time
