TechClub Inc.

Sr. Data Analyst

TechClub Inc.Contract
Remote
9 - 15 YearsJun 23rd, 2026
13 ViewsBe an Early Applicant
Required Skillset:
sqletlAPIelt

Job Description

Data Analytics Solutions Architect 

 

Key Responsibilities

  • Partner with business and technical stakeholders to gather requirements and define solution designs.
  • Design and develop Power BI dashboards, reports, semantic models, and datasets.
  • Architect and support data integration solutions using ETL/ELT processes, APIs, and event-driven technologies such as Kafka.
  • Collaborate with data engineering teams to build scalable and reliable data pipelines.
  • Define and oversee data workflows, job scheduling, and orchestration processes.
  • Perform and coordinate testing activities, including UAT and API validation.
  • Document business requirements, solution designs, data mappings, and testing artifacts.
  • Facilitate stakeholder meetings and drive delivery within Agile development environments.
  • Identify opportunities to improve data quality, reporting effectiveness, and operational efficiency.

Required Qualifications

  • 7+ years of experience in business intelligence, analytics, data architecture, or related disciplines.
  • Strong Power BI expertise, including data modeling, DAX, Power Query, and dashboard development.
  • Experience designing and implementing ETL/ELT and data integration solutions.
  • Knowledge of Kafka, event-driven architectures, and API-based integrations.
  • Experience with cloud data platforms, preferably Google Cloud Platform (GCP).
  • Understanding of job scheduling and workflow orchestration tools.
  • Experience leading requirements gathering, stakeholder management, and UAT activities.
  • Strong communication, analytical, and problem-solving skills.
  • Experience working in Agile delivery environments.
  • Candidate will need to be onsite 3 days a week in the NYC office

Preferred Qualifications

  • Experience with enterprise-scale analytics and reporting platforms.
  • Knowledge of data governance, data quality, and data architecture best practices.
  • Experience supporting both batch and real-time data processing solutions.

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