Data Analyst ; Business Intelligence Expert

Customer Job

Data Analyst 5 (Business Intelligence Expert)

Job
-11376

Pay rate range: $70/hour to $75/hour 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.

• Expertise in Tableau to craft effective dashboards that inform strategic decisions.
• Strong coding skills using SQL and Python/Spark/R to deploy data solutions or data products into production.
• Enthusiastic about uncovering actionable insights from data and conveying these insights as compelling business stories.
• Strong analytical aptitude for solving business problems using large data sets.
• Ability to interface with leadership and team members for clarity on requirements, goals, and deliverables.
• Detail‑oriented while meeting deadlines.
• Continuous monitoring of deployed products to ensure quality.
• Comfortable following organizational procedures and coding standards.
• 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, managing high‑volume (1TB+) and high‑dimensionality (500+ variables per schema) data.
• Experience working with massive structured and unstructured data sets.

• Proactive and sometimes reactive with a "Think and Jump right in" attitude.
• Independent contributor who values team feedback.

• Analytical problem solving without losing sight of end goals.
• Detail‑oriented while meeting deadlines.

• Clear understanding of and agreement with established standards and evaluation metrics.
• Maintaining standards most of the time while advocating for improved procedures.

• Empathy toward the team and self‑regulation during ambitious workloads.
• Proactive extraction of clarity on requirements, deliverables, and tasks from PM and leadership during tight deadlines.

• Constantly validating models and not assuming correctness.

• Follow agile development principles to build and deploy cutting‑edge Data Products and POCs using large structured and unstructured data sets.
• Ensure deployed data products undergo testing and meet the highest quality standards.
• Communicate results clearly and intuitively to team members.
• Regularly interface with leadership and teammates to brainstorm ideas, discuss progress, and identify risks.
• Use JIRA and Confluence for agile project planning.
• Deliver timely, concise, and clear updates to stakeholders.

• Continuously seek data resources that enhance model performance.
• Communicate with PMs about data source acquisition.
• Collaborate with team members to design solutions for data products.
• Write code for data cleaning, munging, analysis, EDA, and visualization of terabytes of data.
• Proficient in EDA and visualizations.
• Debug machine learning models efficiently.
• Understand upstream and downstream interface requirements and design solutions accordingly.
• Pursue automation opportunities in data pipelines where applicable.
• Participate in sprint planning procedures.
• Coordinate with Data Engineering on deployment requirements and Data Lake formatting.

• Ensure product completeness and highest quality.
• Adept at documenting analytical work; documentation must be complete and reviewed by Team Leads.
• Ensure code meets team standards.
• Use JIRA for agile development.

• Experience in Customer Service Operations in domains such as telecom, retail, e‑commerce, consumer packaged goods (CPG), mobile, or consumer electronics.

• Agile principles:
  Scrum or Kanban.
• Solid understanding of Hadoop (Hive and Impala) and Spark (PySpark/Scala).
• Proficiency in Python, Scala, R, Java, and SQL.
• Proficient in data visualization software – Tableau or Power BI.