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Seosaph Infotech - Business Analyst

36 years

0 Lacs

greater kolkata area

Posted:1 day ago| Platform: Linkedin logo

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Skills Required

data integration analyze monitoring engineering support etl reliability consistency flow interface informatica talend azure airflow agile devops management communication analytics governance aws gcp sql python api finance technology scrum certifications

Work Mode

On-site

Job Type

Full Time

Job Description

Description

Position Overview :We are looking for a Business Analyst with a focus on data observability and integration projects.The candidate will bridge business and technical teams, gather and analyze requirements, and ensure high-quality data pipelines, integrations, and monitoring solutions.

Key Responsibilities

  • Collaborate with stakeholders to gather, analyze, and document business and data requirements.
  • Translate requirements into functional and technical user stories for the data engineering team.
  • Work on data observability use cases data quality, lineage, monitoring, and alerting frameworks.
  • Support data integration initiatives involving APIs, ETL pipelines, and real-time streaming solutions.
  • Ensure data reliability, consistency, and accuracy across systems.
  • Create data flow diagrams, source-to-target mappings, and interface documentation.
  • Work closely with architects, data engineers, and analysts to validate feasibility and solution design.

Required Skills & Qualifications

  • 36 years of professional experience, including at least 2+ years as Business Analyst.
  • Proven experience in Data Observability tools (Monte Carlo, Databand, Bigeye, or equivalent).
  • Strong understanding of Data Integration / ETL processes (Informatica, Talend, Azure Data Factory, Airflow, etc.
  • Hands-on experience with Agile tools (Azure DevOps preferred).
  • Excellent stakeholder management, communication, and analytical skills.
  • Exposure to data analytics, data governance, or cloud data platforms (AWS / Azure / GCP) is a plus.

Nice To Have

  • SQL, Python, or API-based data systems experience.
  • Knowledge of DataOps practices and automation.
  • Background in telecom, finance, or enterprise data domains.

Educational Qualification

  • Bachelors degree in Computer Science, Information Technology, or related discipline.
  • Agile or Scrum certifications (CSM, PSM I/II)
(ref:hirist.tech)

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