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Data Analyst 4

Job ID: 25-06756
Pay rate range - $70/hr. to $73/hr. Bill rate

Job Description:

Top Skills: SQL, Natural Language Processing, Python

Summary:
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.

KEY RESPONSIBILITIES/REQUIREMENTS:
NLP Analyst proficient in SQL, Python, and Natural Language Processing.
This role requires a strong background in handling complex unstructured datasets and uncovering patterns that fuel smart decision-making.
Candidates should demonstrate experience in applying NLP to solve business problems in operations, including analyzing customer interactions to extract actionable insights and optimize workflows. Require 4-6 years of experience, particularly within customer service operations.

Requirements -
• You have worked with massive structured/unstructured data sets before.
• You are a solid coder who uses either SQL & (Python/Spark/R) to deploy data solutions or data products into production.
• You have 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.
• You have 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.
• You are highly enthusiastic in uncovering actionable insights from data and conveying these insights to business as stories that stick.
• You are a strong analytical person who loves solving business problems using massive data sets.
• You interface with leadership and team members to get clarity on your requirements, end goals and deliverables.
• You are detail oriented but never loses sight of deadlines.
• You always have an eye on the products you deployed and never assumes that everything is ok.
• You are comfortable following the procedures and coding standards set by the organization
• You have MS or BS in Mathematics, Computer Science, Engineering, or Economics (required).
• You have 3-6 years of experience in Customer Service functions for consumer products, retail, tech, telecom, or financial industries.
• You have 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.
• You have worked with Tableau or Power-BI before.

Must have Soft Skills –
• Proactive and sometimes Reactive
o "Think and Jump right in" attitude
o Need to be an independent contributor simultaneously valuing feedback from team members
• Work Style –
o Be analytical and solve problems without losing sight of end goals
o Detail-oriented but never lose sight of deadlines
• Procedure Oriented
o Clearly understand and agree on the standards set by the leadership and how they will be evaluated
o Maintain standards most of the time however should voice new procedures and systems
• Interpersonal skills-
o Need to be able to empathize with team and be able to control his/her internal state to handle the work load during ambitious targets.
o Given ambitious deadlines be proactive and extract clarity on requirements, deliverables and tasks from PM and leadership
• Quality Control –
o Constantly check on models and not assume that things are ok.

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 in a clear and intuitive manner
• Interface with leadership and team members regularly to brain storm ideas, communicate progress and risks.
• Use JIRA and Confluence as tools for Agile Project planning
• Communicate the progress and results in clear, concise and timely manner with other stake holders

Data - Responsibilities
• Always looking out for data resources that enhance the model performance
• Clearly communicate with PMs about acquisition of the data sources
• Work with team members to develop and design solutions for data products
• Write code to clean, munge, analyze, EDA, 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 team’s sprint planning procedures
• Clearly communicate with DE about deployment requirements
• Work with DE to get the data in Data Lake in required format.

Compliance - Responsibilities
• Ensure completeness of the product
• Make sure that the product is of 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 –
o 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.
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