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Digital Products Analytics Ad-Hoc Analyst

Job in Plano, Collin County, Texas, 75086, USA
Listing for: Compunnel, Inc.
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Data Analyst, Data Mining, Data Science Manager, Data Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Job Description:

Texas, Plano

01/13/2026

Contract

Active

Job Summary

We are seeking a Digital Products Analytics Ad-Hoc Analyst with strong experience in data analysis and visualization to support insights for digital products such as , Fox Mobile App, and Smart TV platforms.

Key Responsibilities
  • Extract, transform, and load (ETL) data from various sources, ensuring data quality, integrity, and accuracy.
  • Perform data cleansing, validation, and preprocessing for structured and unstructured data.
  • Develop and execute queries, scripts, and data manipulation tasks using SQL, Python, or other relevant tools.
  • Analyze large datasets to identify trends, patterns, and correlations, providing actionable insights.
  • Create clear and concise data visualizations, dashboards, and reports for stakeholders.
  • Collaborate with clients and cross-functional teams to gather requirements and translate them into insights.
  • Support predictive modeling, machine learning, and statisticalják analysis in collaboration with Data Scientists.
  • Monitor data quality and proactively identify anomalies or discrepancies knj.
  • Stay updated on industry trends and best practices to enhance analytical techniques.
  • Assist in process improvements to streamline data workflows and analysis.
Required Qualifications
  • Minimum 1+ year of experience with Amplitude Analytics.
  • 2–3 years of experience querying data warehouses such as Snowflake or Redshift.
  • Strong proficiency in SQL for writing queries, joining tables, and deriving insights.
  • Experience with data quality analysis (2–3 years).
  • Ability to create visual reports and dashboards.
  • Strong analytical and problem‑solving skills.
  • Excellent communication and organizational skills; ability to work independently and pivot quickly.
Preferred Qualifications
  • Experience with Python for data manipulation and automation.
  • Familiarity with digital product analytics and user behavior tracking.
  • Exposure to predictive modeling and machine learning concepts.
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