Aditi Consulting
This range is provided by Aditi Consulting. Your actual pay will be based on your skills and experience – talk with your recruiter to learn more.
Base pay range $76.00/hr – $82.00/hr
Payrate $76.00 – $82.00/hr
Summary Business Intelligence Analyst proficient in SQL, Python, and Tableau. Candidates should demonstrate the ability to 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 5–9 years of experience, particularly within customer service operations.
Responsibilities
Follow agile development principles to develop and deploy cutting edge Data Products and POCs using massive sets of structured and un-structured data.
Ensure the data product is deployed 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 brainstorm ideas, communicate progress and risks.
Use JIRA and Confluence as tools for Agile Project planning.
Always look for data resources that enhance model performance.
Work with team members to develop and design solutions for data products.
Write code to clean, munge, analyze, EDA, visualize terabytes of data.
Debug the machine learning models with ease.
Understand the upstream and downstream interface requirements and design the solutions accordingly.
Always look for avenues for automation in data pipelines wherever applicable.
Get comfortable in following team’s sprint planning procedures.
Work with DE to get the data in Data Lake in required format.
Adept in documenting the analytical work. Ensure that the documentation is completed and reviewed by Team Leads.
Ensure code meets team standards.
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 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 lose sight of deadlines.
You always have an eye on the products you deployed 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 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 massive structured/unstructured data sets before.
Soft Skills
Proactive and sometimes reactive.
Think and Jump right in attitude.
Independent contributor while valuing feedback from team members.
Be analytical and solve problems without losing sight of end goals.
Detail oriented but never lose sight of deadlines.
Procedure oriented, clearly understand and agree on the standards set by leadership.
Interpersonal skills to empathize with team and control internal state under ambitious targets.
Quality control: Constantly check on models and do not assume that things are ok.
Knowledge and Experience
Experience in Customer Service Operations in domains: Telecom, Retail, E‑commerce, Consumer packaged goods, 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.
Pay Transparency The typical base pay for this role across the U.S. is: $76.00 – $82.00/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance.
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Base pay range $76.00/hr – $82.00/hr
Payrate $76.00 – $82.00/hr
Summary Business Intelligence Analyst proficient in SQL, Python, and Tableau. Candidates should demonstrate the ability to 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 5–9 years of experience, particularly within customer service operations.
Responsibilities
Follow agile development principles to develop and deploy cutting edge Data Products and POCs using massive sets of structured and un-structured data.
Ensure the data product is deployed 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 brainstorm ideas, communicate progress and risks.
Use JIRA and Confluence as tools for Agile Project planning.
Always look for data resources that enhance model performance.
Work with team members to develop and design solutions for data products.
Write code to clean, munge, analyze, EDA, visualize terabytes of data.
Debug the machine learning models with ease.
Understand the upstream and downstream interface requirements and design the solutions accordingly.
Always look for avenues for automation in data pipelines wherever applicable.
Get comfortable in following team’s sprint planning procedures.
Work with DE to get the data in Data Lake in required format.
Adept in documenting the analytical work. Ensure that the documentation is completed and reviewed by Team Leads.
Ensure code meets team standards.
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 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 lose sight of deadlines.
You always have an eye on the products you deployed 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 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 massive structured/unstructured data sets before.
Soft Skills
Proactive and sometimes reactive.
Think and Jump right in attitude.
Independent contributor while valuing feedback from team members.
Be analytical and solve problems without losing sight of end goals.
Detail oriented but never lose sight of deadlines.
Procedure oriented, clearly understand and agree on the standards set by leadership.
Interpersonal skills to empathize with team and control internal state under ambitious targets.
Quality control: Constantly check on models and do not assume that things are ok.
Knowledge and Experience
Experience in Customer Service Operations in domains: Telecom, Retail, E‑commerce, Consumer packaged goods, 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.
Pay Transparency The typical base pay for this role across the U.S. is: $76.00 – $82.00/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance.
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