Analytics Engineer
Fetch Rewards
AirflowAmazon RedshiftBigQueryCloudGoPythonSQL
Analytics Engineer
Qlik
full-time
Posted on:
Location: Pennsylvania • 🇺🇸 United States
Visit company websiteSalary
💰 $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.
