WAMGROUP
WAMGROUP
1,001 – 5,000 Employees
ConsultingHealthcareLogistics
WAMGROUP develops a cloud-based SaaS platform for link management and QR code creation. Its tools help brands and teams build, customize, distribute, and measure short links, QR Codes, and mobile landing pages across digital and physical campaigns. Through APIs and integrations, the platform supports marketers, developers, and enterprise teams working in areas including logistics, consulting, and healthcare.

Senior Data Analyst – BI and Analytics

Develop dashboards, KPIs, data pipelines, and analytical solutions for WAMGROUP. Help advance the company’s Data Lake, Lakehouse, and Databricks environments.

Description

  • Create and improve dashboards, KPIs, and management reports
  • Design and organize KPIs for multiple business areas
  • Partner with business teams to gather and clarify their needs
  • Translate business requirements into analytical solutions and data structures
  • Extract, process, transform, organize, and validate data from varied sources
  • Write SQL queries for data analysis, preparation, and processing
  • Build and refine BI and Analytics data models
  • Develop and maintain ETL and ELT workflows
  • Help create, maintain, and improve data pipelines
  • Connect data from databases, APIs, files, and corporate systems
  • Design processes for collecting, storing, processing, and distributing data
  • Help organize and evolve the Data Lake and Lakehouse environment
  • Contribute to the design and adoption of Databricks
  • Automate data collection, processing, and information delivery workflows
  • Conduct exploratory analysis to uncover patterns, trends, anomalies, and opportunities
  • Investigate discrepancies and inconsistencies between data sources
  • Maintain the consistency, quality, and reliability of information
  • Define and document KPIs, business rules, sources, models, and data processes
  • Help establish data-use standards and best practices
  • Identify opportunities to improve information architecture, processing, and delivery
  • Collaborate with Systems, Technology, and business teams

Requirements

  • Practical experience with Power BI or a comparable data visualization and analytics platform
  • Demonstrated ability to build, organize, and improve dashboards and KPIs
  • Strong SQL skills for querying, processing, transforming, and analyzing data
  • Experience designing and working with data models
  • Knowledge of data cleansing, transformation, processing, and validation
  • Understanding of ETL and ELT processes and principles
  • Experience combining data from multiple sources
  • Knowledge of relational database systems
  • Ability to design workflows for collecting, transforming, storing, and distributing information
  • Understanding of data-environment organization and architecture
  • Ability to diagnose and resolve data-related issues
  • Strong analytical and information interpretation capabilities
  • Ability to understand business processes and turn them into data solutions
  • Clear communication skills when working with technical and business stakeholders
  • Ability to document data processes, sources, rules, and structures
  • Autonomous approach to handling requests and investigating issues
  • Databricks experience or knowledge is a plus
  • Knowledge of Data Lake and Lakehouse architecture is a plus
  • Experience building and maintaining data pipelines is a plus
  • Experience with APIs and cross-system integration is a plus
  • Knowledge of data quality and governance practices is a plus
  • Experience organizing or improving corporate data environments is a plus
  • Knowledge of processing and storing large data volumes is a plus
  • Experience automating data workflows is a plus
  • Python knowledge for data applications is a plus
  • Knowledge of data version control, orchestration, or transformation tools is a plus
  • Proactive, analytical, communicative, and organized working style
  • Strong sense of responsibility, technical maturity, and autonomy
  • Systems thinking, critical thinking, and careful attention to detail

Benefits

  • Training and professional development opportunities
  • Career advancement and internal recruitment opportunities
  • Recognition and professional growth
  • Dynamic, innovative, and positive work environment
  • Position open to candidates with disabilities

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