Data Analyst (Subscriptions&Pricing) ID33722 at AgileEngine
Desde casa, Río Negro, Argentina -
Full Time


Start Date

Immediate

Expiry Date

25 Jul, 25

Salary

0.0

Posted On

26 Apr, 25

Experience

4 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

MUST HAVES

  • College degree in Mathematics, Statistics, Industrial Engineering, Data Science, Economics, Operations Research, Computer Science, or equivalent work experience;
  • 4+ years of professional experience in an Analytics role;
  • Demonstrated proficiency in SQL through a SQL test, hands-on experience with CTEs, window functions, and date & time functions preferred;
  • Experience with business intelligence tools like Tableau, Power BI, Microstrategy, etc.;
  • Familiarity with database models, experience working with unstructured data, and experience loading large datasets into databases;
  • Skilled at transforming raw data into actionable columnar datasets;
  • Basic knowledge of statistics and/or machine learning;
  • Knowledgeable about (at least some of ) Python, Snowflake, AWS/S3, SageMaker, R, Microsoft Office, Google Workspace;
  • Good oral and written communication skills, including explaining the business implications of data analysis/reports and developing visualizations;
  • Excellent problem-solving skills;
  • Upper-Intermediate English level.
Responsibilities
  • Developing analytical and reporting database tables to facilitate subscription and promotional offers performance tracking through efficient querying of large databases;
  • Produce reports and Tableau dashboards summarizing pertinent metrics and equipping various stakeholders with information for decision-making;
  • Apply quantitative analysis on complex data to support the Insights team in efforts to understand customer behavior and impact of promotional offers;
  • Ensure data accuracy through conscientious data collection and monitoring, development and execution of quality control processes, investigation and resolution of anomalies;
  • Respond to a wide variety of ad hoc requests from Finance, Marketing, Distribution, Product, etc.;
  • Work closely with other members of the Insights & Analytics team to incorporate marketing and content data, creating a holistic understanding of customers and how they interact with our products.
Loading...