| Data Analysts in Philadelphia PA Onsite at Philadelphia, Pennsylvania, USA |
| Email: [email protected] |
| Hi All, Please let me know if you are interested in the below job need, we have Thanks!!! Title: Data Analysts Location: Philadelphia PA Onsite Locals only Looking for Ex-comcast resumes here. Share skill metrics against these : Big Data(Spark, Scala) Cloud Technologies - AWS S3, AWS Athena SQL - Hive, Teradata, Spark SQL Databricks Python - DQ Apply advanced statistical analysis, machine learning, and data mining techniques to derive actionable insights from complex datasets. Develop and implement predictive, prescriptive and inferential models to solve business challenges and drive decision-making processes. Must be good with collaborating with technical and non-technical stakeholders to effectively understand the business challenge, use case and structure the discussion in succinct format for driving next steps. Collaborate with domain experts to understand business requirements and translate them into data-driven solutions. Communicate complex technical concepts and analytical findings effectively to both technical and non-technical stakeholders. Create visually compelling presentations, reports, and dashboards to convey insights and recommendations. Lead workshops, meetings, and discussions to drive alignment and understanding across teams. Provide strategic guidance and contribute to the development of data-driven strategies within the organization. Qualifications: Bachelor's or masters degree in computer science, Data Science, Statistics, or a related field. Proven experience (6+ years) as a data engineer and data scientist, preferably in a fast-paced technology or analytics-driven environment. Experience in leveraging Graph data science concepts to solve business use cases a must. Strong proficiency in data engineering tools and languages (e.g., SQL, Python, Scala, ETL frameworks, data warehousing). Comfortable and experienced working in Databricks, Spark environment. Extensive experience with machine learning frameworks (e.g., TensorFlow, H2O) and data science libraries (e.g., SparkML). Ability to develop visualizations, as necessary to present insights, metrics and how this informs addressing the business challenge. Excellent presentation and communication skills, with the ability to convey technical concepts to non-technical audiences. Experience in a networking or communications domain is a plus. Experience interacting with other technical and non-technical stakeholders to collaborate on efforts like solutioning, understanding other data domains in order to source data is a must. Thanks & Regards, Rajesh Koduri SR IT RECRUITER Tel : 703-831-8282 Ext : 2553 Email : [email protected] Web : www.Canopyone.com 4229 Lafayette Center Dr., #1625 Chantilly, VA. 20151 Consulting || Digital & Enterprise Solutions || IT Managed Services || IT Talent Acquisition Disclaimer: This email and any files attached hereto are confidential and intended for the sole use of the individual or entity to which they are addressed. If the reader of this message is not the intended recipient, you are hereby notified that any unauthorized disclosure, dissemination, distribution, copying or the taking of any action in reliance on the information herein is strictly prohibited. If you are not the intended recipient, please contact the sender and delete all copies. -- Keywords: sthree information technology Pennsylvania Virginia |
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| Tue Nov 21 19:52:00 UTC 2023 |