Qlik

Analytics Engineer

Qlik

full-time

Posted on:

Origin:  • 🇺🇸 United States • Pennsylvania

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Salary

💰 $97,000 - $160,000 per year

Job Level

Mid-LevelSenior

Tech Stack

SQLTableau

About the role

  • Create and maintain interactive story-driven reports, and dashboards using Qlik Sense to measure and track performance metrics and KPIs (Key Performance Indicators).
  • Formulate SQL queries to retrieve and manipulate data from databases and data warehouse to provide actionable insights.
  • Develop and implement data models, predictive models and attribution models, with tools such as Snowflake and Databricks, to aid company’s strategic planning.
  • Manage analytics projects end-to-end, including gathering and documenting requirements from marketing business partners, designing data models, and creating reports/visualizations and analyses.
  • Identify trends, patterns, and outliers by analyzing complex data sets to uncover valuable insights that enhance business performance.
  • Ensure data accuracy, integrity, and consistency across all reporting, and identify opportunities for report enhancements to improve overall data analysis capabilities.
  • Collaborate with cross-functional teams including product, finance, and operations to align sales-marketing strategies with overall business goals.
  • Present reports and analyses with complex technical details to the business and marketing leadership.
  • Act as subject matter resource in marketing reporting and analytics (pipeline/funnel and campaign analyses, etc.) as well as business systems (Salesforce, Marketo, etc.).

Requirements

  • Bachelor’s degree with a quantitative or analytical concentration, such as statistics, mathematics, biotechnology, bioinformatics, business intelligence, data science, marketing, or related.
  • 3 years of experience in a business analyst, business intelligence analyst, data analyst, marketing or related role that includes the following:
  • Generating reports and analyses to support marketing business unit or department; Use of data visualization/reporting software (such as QlikSense, Tableau, Excel, etc.) to develop reports for business;
  • Advanced use of SQL or Excel to pull data from databases and manipulate/transform it in accordance with data/analytical needs;
  • Use of marketing business systems such as Salesforce, Marketo, Google Analytics, etc.;
  • Management of analytical projects and stakeholder expectations;
  • Communicating and delivering presentations based on reports/analyses to audiences such as business leaders and decision-makers.