Pay rate range : $70 / hour. to $75 / hr. on W2
Schedule : Hybrid, Mon-Thurs on site, Fri WFH / Remote
Top skills : SQL, Data Modeling, Python, Tableau
KEY RESPONSIBILITIES / REQUIREMENTS :
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.
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 the 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 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 a 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 Reactiveo "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 Orientedo 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 the team and be able to control his / her internal state to handle the workload 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 qualityCommunicate the results to other members of the team in a clear and intuitive mannerInterface with leadership and team members regularly to brainstorm ideas, communicate progress, and risks.Use JIRA and Confluence as tools for Agile Project planningCommunicate the progress and results in a clear, concise, and timely manner with other stakeholdersData - Responsibilities
Always looking out for data resources that enhance the model performanceClearly communicate with PMs about acquisition of the data sourcesWork with team members to develop and design solutions for data productsWrite code to clean, munge, analyze, EDA, and visualize terabytes of dataProficient in EDA and visualizationsDebug the machine learning models with easeUnderstand the upstream and downstream interface requirements and design the solutions accordinglyAlways looking for avenues for automation in data pipelines wherever applicableGet comfortable in the team’s sprint planning proceduresClearly communicate with DE about deployment requirementsWork with DE to get the data in the Data Lake in the required format.Compliance - Responsibilities
Ensure completeness of the productMake sure that the product is of the highest qualityAdept in documenting the analytical work. Ensure that the documentation is complete and reviewed by Team Leads.Ensure code meets team standardsJIRA for agile developmentShould 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 / KanbanSolid understanding of Hadoop (Hive and Impala) & Spark (PySpark / Scala)Proficient in (Python / Scala / R / Java ) & SQLProficient in Data Visualization Software – Tableau / Power BI.