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Business Data Analyst (Senior) ID33722

AgileEngine

Porto Alegre

Híbrido

USD 60.000 - 100.000

Tempo integral

Há 13 dias

Melhora as tuas possibilidades de ir a entrevistas

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Resumo da oferta

An established industry player is seeking a talented Business Data Analyst to join their dynamic team. In this role, you'll leverage your data analysis skills to develop insightful reports and dashboards, transforming complex data into actionable insights that drive strategic decision-making. Collaborate with top-tier professionals on exciting projects for Fortune 500 clients, while enjoying a culture of mentorship and continuous learning. This opportunity offers flexible schedules and competitive compensation, making it perfect for those looking to grow their career in a challenging yet supportive environment.

Serviços

Mentorship
TechTalks
Flexible schedules
Education budget
Fitness budget
Team activity budget

Qualificações

  • 4+ years in data analysis or related fields.
  • Proficient in SQL and Python with BI tools experience.

Responsabilidades

  • Develop analytical and reporting database tables for tracking performance.
  • Produce reports and dashboards to support decision-making.

Conhecimentos

SQL
Python
Data Analysis
Statistical Analysis
Problem Solving
Communication Skills

Formação académica

Bachelor's Degree in Data Science or related field

Ferramentas

Tableau
Power BI
Microstrategy

Descrição da oferta de emprego

Join to apply for the Business Data Analyst (Senior) ID33722 role at AgileEngine.

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 enjoy a challenging environment where you work with top talent and are encouraged to learn and experiment daily, this is the place for you!

Responsibilities
  • Develop analytical and reporting database tables for subscription and promotional offers performance tracking through efficient querying of large databases.
  • Produce reports and Tableau dashboards summarizing key metrics to support decision-making.
  • Apply quantitative analysis on complex data to understand customer behavior and the impact of promotional offers.
  • Ensure data accuracy through diligent data collection, quality control processes, and anomaly resolution.
  • Respond to ad hoc requests from departments such as Finance, Marketing, Distribution, and Product.
  • Collaborate with the Insights & Analytics team to incorporate marketing and content data, creating a comprehensive view of customer interactions.
Minimum Qualifications
  • 4+ years of experience in data analysis, business analysis, data science, or related fields.
  • Proficiency in SQL, including experience with CTEs, window functions, and date & time functions.
  • Strong skills in Python.
  • Experience with BI tools like Tableau, Power BI, Microstrategy, etc.
  • Familiarity with database models, unstructured data, and loading large datasets.
  • Ability to transform raw data into actionable datasets.
  • Basic understanding of statistics and machine learning.
  • Excellent communication skills to explain data insights and develop visualizations.
  • Strong problem-solving skills.
  • Upper-Intermediate English proficiency.
Preferred Skills
  • Experience analyzing subscriptions and promotional offers data is a plus.
Benefits
  • Professional growth: Mentorship, TechTalks, and personalized development plans.
  • Competitive compensation: USD-based salary, education, fitness, and team activity budgets.
  • Exciting projects: Work with modern solutions for Fortune 500 clients and leading brands.
  • Flextime: Flexible schedules with options for remote or in-office work.

To proceed, check your email and complete your registration on our Applicant Site. Incomplete registration will terminate your application. Good luck!

Additional Details
  • Seniority level: Mid-Senior level
  • Employment type: Full-time
  • Job function: Information Technology
  • Industries: IT Services and IT Consulting
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