Data Analyst 5
Apply NowCompany: Intelliswift
Location: Plano, TX 75025
Description:
Job ID: 25-06755 Pay rate range - $75/hr. to $78/hr. Bill rate
Job Description:
To skills: SQL, Data Modeling, Python, Tableau
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.
Education/Experience:
Bachelor's degree in a technical field such as computer science, computer engineering or related field required.
10+ years of experience required.
KEY RESPONSIBILITIES/REQUIREMENTS:
Business Intelligence Analyst proficient in SQL, Python, and Tableau.
Candidates should demonstrate the ability to code production-grade SQL/Python queries, design optimal data models, and create interactive dashboards and visualizations that drive business decisions.
This role plays a crucial part in developing impactful and engaging dashboard solutions that drive customer service strategy. Require 5-8 years of experience, particularly within customer service operations.
Requirements -
You are an expert in Tableau and can craft jaw-dropping dashboards that wow stakeholders and inform strategic decisions.
You are a solid coder who uses either SQL & (Python/Spark/R) to deploy data solutions or data products into production.
You are highly enthusiastic about uncovering actionable insights from data and conveying these insights to businesses 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 lose sight of deadlines.
You always have an eye on the products you deploy and never assume 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 5-8 years of experience in Customer Service functions for consumer products, retail, tech, telecom, or financial industries.
You have 4-6 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 massive structured/unstructured data sets 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 the 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 with through testing and is of highest quality
Communicate the results to other members of 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.
Job Description:
To skills: SQL, Data Modeling, Python, Tableau
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.
Education/Experience:
Bachelor's degree in a technical field such as computer science, computer engineering or related field required.
10+ years of experience required.
KEY RESPONSIBILITIES/REQUIREMENTS:
Business Intelligence Analyst proficient in SQL, Python, and Tableau.
Candidates should demonstrate the ability to code production-grade SQL/Python queries, design optimal data models, and create interactive dashboards and visualizations that drive business decisions.
This role plays a crucial part in developing impactful and engaging dashboard solutions that drive customer service strategy. Require 5-8 years of experience, particularly within customer service operations.
Requirements -
You are an expert in Tableau and can craft jaw-dropping dashboards that wow stakeholders and inform strategic decisions.
You are a solid coder who uses either SQL & (Python/Spark/R) to deploy data solutions or data products into production.
You are highly enthusiastic about uncovering actionable insights from data and conveying these insights to businesses 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 lose sight of deadlines.
You always have an eye on the products you deploy and never assume 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 5-8 years of experience in Customer Service functions for consumer products, retail, tech, telecom, or financial industries.
You have 4-6 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 massive structured/unstructured data sets 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 the 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 with through testing and is of highest quality
Communicate the results to other members of 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.