Data Analyst

Staffmark Workforce Solutions offers this exciting contract opportunity at a global leader in electronics, mobile devices, and appliances located in Plano, TX.

Data Analyst

Top Skill Sets Required:

1. Proficient in SQL, Python, Spark, and NLP
2. Experience in Customer Service Operations

Position Description

The main function of the Data Analyst is to provide business intelligence support and supporting areas by means of both repeatable and ad hoc reporting delivery reports (charts, graphs, tables, etc) that enable informed business decisions.

Responsibilities:

• Analyzes performance of process activities, identifies problem areas, and presents findings in clear, concise charts, graphs, tables, or summaries.
• Establishes standardized methods of recording, tracking, and reporting on activity.
• Design, implement, automate, and maintain large-scale enterprise data ETL processes.
• Modify existing databases and database management systems and/or direct programmers and analysts to make changes.
• Test programs or databases, correct errors and make necessary modifications.
• Conducts research on emerging products, services, approaches, and techniques in the area of data analysis.
• The role requires handling complex unstructured datasets and uncovering patterns that fuel smart decision-making. Role applies NLP to solve business problems in operations, including analyzing customer interactions to extract actionable insights and optimize workflows.

Requirements:

• NLP Analyst proficient in SQL, Python, and Natural Language Processing. Experience with massive structured/unstructured data sets before.
• A solid coder who uses either SQL & (Python/Spark/R) to deploy data solutions or data products into production.
• Experience with state-of-the-art NLP algorithms and models including BERT, GPT, RoBERTa, and T5, as well as traditional techniques like TD-IDF and word embeddings.
• Proficiency in tools and frameworks such as SpaCy, NLTK, and TensorFlow/PyTorch for developing and deploying NLP models.
• Demonstrated ability to build and fine-tune NLP solutions for tasks like sentiment analysis, topic modeling, named entity recognition, and text summarization.
• Highly enthusiastic about uncovering actionable insights from data and conveying these insights to businesses as stories that stick.
• A strong analytical person who loves solving business problems using massive data sets.
• Interface with leadership and team members to get clarity on your requirements, end goals, and deliverables.
• Detail-oriented but never loses sight of deadlines.
• An eye on the products you deploy and never assume that everything is ok.
• Comfortable following the procedures and coding standards set by the organization.
• MS or BS in Mathematics, Computer Science, Engineering, or Economics (required).
• 3-6 years of experience in Customer Service functions for consumer products, retail, tech, telecom, or financial industries.
• 2-4 years of experience in Big Data environment specifically Hive/Spark where you have worked on solutions that scale smoothly on high-volume (1TB+) & high-dimensionality (500+ variables per schema) data.
• Worked with Tableau or Power-BI before.

Core Responsibilities

• Follow agile development principles to develop and deploy cutting-edge Data Products and POCs using massive sets of structured and unstructured data.
• Ensure the data product is deployed through testing and is of the highest quality.
• Communicate the results to other members of the team clearly and intuitively.
• Interface with leadership and team members regularly to brainstorm ideas, and communicate progress and risks.
• Use JIRA and Confluence as tools for Agile Project planning.
• Communicate the progress and results in a clear, concise, and timely manner with other stakeholders.

Data - Responsibilities

• Always looking out for data resources that enhance the model performance.
• Communicate with PMs about the acquisition of the data sources.
• Work with team members to develop and design solutions for data products.
• Write code to clean, munge, analyze, EDA, and visualize terabytes of data.
• Proficient in EDA and visualizations.
• Debug the machine learning models with ease.
• Understand the upstream and downstream interface requirements and design the solutions accordingly.
• Always looking for avenues for automation in data pipelines wherever applicable.
• Get comfortable in following the team's sprint planning procedures.
• Communicate with DE about deployment requirements.
• Work with DE to get the data in Data Lake in the required format.

Compliance - Responsibilities

• Ensure completeness of the product
• Make sure that the product is of the highest quality
• Adept in documenting the analytical work. Ensure that the documentation is complete and reviewed by Team Leads.
• Ensure code meets team standards
• JIRA for agile development

Should have Knowledge and Experience

• Experience in Customer Service Operations in one of the following domains
• Telecom/retail/e-commerce/consumer packaged goods (CPG), Mobile or Consumer electronics industries
• Agile Principles/Scrum/Kanban
• Solid understanding of Hadoop (Hive and Impala) & Spark (PySpark/Scala)
• Proficient in (Python/Scala/R/Java ) & SQL
• * Proficient in Data Visualization Software - Tableau/Power BI.

Staffmark talent working with this client receive competitive compensation and a great benefits package including medical, dental, vision, 401K, and Paid Time Off plus more!

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