Data Analyst ; Business Intelligence Expert

Customer Job
Data Analyst 5 (Business Intelligence Expert)

Job
-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

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.

• Expert in Tableau and can craft jaw‑dropping dashboards that wow stakeholders and inform strategic decisions.
• Solid coder who uses SQL & Python / Spark / R to deploy data solutions or data products into production.
• Highly enthusiastic about uncovering actionable insights from data and conveying these insights to the business as stories that stick.
• Strong analytical person who loves solving business problems using massive data sets.
• Interface with leadership and team members to get clarity on requirements, end goals, and deliverables.
• Detail‑oriented but never lose sight of deadlines.
• Always keep an eye on the products deployed and never assume everything is ok.
• Comfortable following the procedures and coding standards set by the organization.
• MS or BS in Mathematics, Computer Science, Engineering, or Economics (required).
• 3‑6 years of experience in Customer Service functions for consumer products, retail, tech, telecom, or financial industries.
• 2‑4 years of experience in a Big Data environment, specifically Hive / Spark where solutions scale smoothly on high‑volume (1TB+) & high‑dimensionality data.
• Worked with massive structured / unstructured data sets before.

• Proactive and sometimes reactive.
• Think and jump right in attitude.
• Independent contributor valuing feedback from team members.
• 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 standards set by leadership.
• Maintain standards, but voice improvements.
• Empathetic and able to control internal state during ambitious targets.
• Constantly check models and not assume everything is ok.

• 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 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 progress and results in a clear, concise, and timely manner with stakeholders.

• Always look for data resources that enhance model performance.
• Clearly communicate with PMs about acquisition of 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 machine learning models with ease.
• Understand upstream and downstream interface requirements and design solutions accordingly.
• Always seek avenues for automation in data pipelines wherever applicable.
• Get comfortable with the team’s sprint planning procedures.
• Clearly communicate with DE about deployment requirements.
• Work with DE to get data into the Data Lake in the required format.

• Ensure completeness of the product.
• Make sure the product is of the highest quality.
• Adept at documenting the analytical work; ensure documentation is complete and reviewed by Team Leads.
• Ensure code meets team standards.
• Use JIRA for agile development.

• Experience in Customer Service Operations in telecom, retail, e‑commerce, CPG, mobile or consumer electronics.
• 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.