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Compunnel, Inc. is hiring: Digital Products Analytics Ad-Hoc Analyst in Plano

Compunnel, Inc., Plano, TX, US, 75086

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Digital Products Analytics Ad-Hoc Analyst

Texas, Plano

07/17/2025

Contract

Active

Job Description:

Job Summary

We are seeking a data-driven Digital Products Analytics Ad-Hoc Analyst to support cross-functional teams with actionable insights derived from complex datasets.

This role involves working closely with stakeholders to extract, analyze, and visualize data, enabling informed decision-making across digital product initiatives.

Key Responsibilities

  • Extract, transform, and load (ETL) data from various sources, ensuring data quality and integrity.
  • Cleanse, validate, and preprocess structured and unstructured data for analysis.
  • Develop and execute queries and scripts using SQL, Python, or other relevant tools.
  • Analyze large datasets to identify trends, patterns, and correlations that inform business decisions.
  • Create clear and impactful data visualizations, dashboards, and reports.
  • Collaborate with clients and internal teams to gather data requirements and translate them into insights.
  • Support other departments with their data needs and collaborate with Data Scientists on statistical analysis.
  • Identify and implement process improvements to streamline data workflows.
Required Qualifications
  • 3+ years of experience in data analysis using tools such as Excel, SQL, R, or Python.
  • 3+ years supporting software engineering, data engineering, or analytics projects.
  • Undergraduate or graduate degree in a relevant field.
Preferred Qualifications
  • Strong proficiency in digital product analytics tools (e.g., Adobe Analytics, Amplitude, Heap, Contentsquare).
  • Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
  • Familiarity with cloud data platforms (e.g., AWS Redshift, Google BigQuery, Azure Synapse).
  • Understanding of ETL processes and tools.
  • Experience in the media industry is a plus.
  • Knowledge of data governance and database querying.
  • Strong analytical and problem-solving skills.
  • Excellent communication skills for translating complex insights to non-technical stakeholders.
  • Detail-oriented with a commitment to data accuracy.
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