Compunnel, Inc.
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. Email ID * This field is required Please enter valid emailId. Cell phone * This field is required Please enter valid cell phone. First Name * This field is required Please enter valid first name. Last Name * This field is required Please enter valid last name.
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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. Email ID * This field is required Please enter valid emailId. Cell phone * This field is required Please enter valid cell phone. First Name * This field is required Please enter valid first name. Last Name * This field is required Please enter valid last name.
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