More jobs:
Digital Products Analytics Ad-Hoc Analyst
Job in
Plano, Collin County, Texas, 75086, USA
Listed on 2026-02-28
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
Job Description & How to Apply Below
Job Description:
Texas, Plano
01/13/2026
Contract
Active
Job SummaryWe 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.
- 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.
- 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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