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Data Analyst (Subscriptions&Pricing) ID33722

Data Analyst (Subscriptions&Pricing) ID33722

AgileEngineBelo Horizonte, MG, br
Há 16 dias
Tipo de vaga
  • Quick Apply
Descrição da vaga

Job Description

AgileEngine is one of the Inc. 5000 fastest-growing companies in the US and a top-3 ranked dev shop according to Clutch. We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions.

If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment every day, there’s no better place - guaranteed! : )

WHAT YOU WILL DO

  • 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.

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.

    • NICE TO HAVES

  • Previous work experience with subscriptions and promotional offers data analysis is a plus.

    • THE BENEFITS OF JOINING US

  • Professional growth : Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
  • Competitive compensation : We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
  • A selection of exciting projects : Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
  • Flextime : Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

    • Your application doesn't end here! To unlock the next steps, check your email and complete your registration on our Applicant Site . The incomplete registration results in the termination of your process.

    Good luck! We're rooting for you!

    Requirements

  • College degree in Mathematics, Statistics, Industrial Engineering, Data Science, Economics, Operations Research, Computer Science, or equivalent work experience. - 1+ 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.