Data Analyst 5 (Business Intelligence Expert)

Customer Job

Data Analyst 5 (Business Intelligence Expert)

Job ID: 25-11376

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 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 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 quality
• Communicate the results to other members of the 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
• 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
• 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, 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 the team’s sprint planning procedures
• Clearly communicate with DE about deployment requirements
• Work with DE to get the data in the 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 –
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.