- Company Name
- Flexstaf I.T. Inc.
- Job Title
- Senior Data Analyst
- Job Description
-
Job Title: Senior Data Analyst
Role Summary: Lead the design, mapping, validation, and documentation of enterprise data solutions within Azure-based data ecosystems. Ensure data accuracy, governance, and alignment between business needs and technical implementations.
Expatations: 8+ years experience in data mapping & documentation, data quality & validation, and Azure technologies. Proven track record of managing complex data projects, collaborating with cross‑functional teams, and delivering high‑quality, version‑controlled artifacts.
Key Responsibilities:
- Lead detailed data mapping across source systems, data platforms, and target destinations.
- Document field‑level mappings, transformation rules, data lineage, and business logic.
- Maintain version‑controlled mapping specifications for engineering teams.
- Analyze and profile datasets to assess structure, relationships, quality, and anomalies.
- Validate mapped data against business processes and stakeholder expectations.
- Identify data gaps, inconsistencies, and migration or integration risks.
- Collaborate with data engineers, architects, business analysts, product owners, and SMEs to gather requirements and translate business definitions into technical artifacts.
- Facilitate workshops to resolve data ambiguities and align on business rules.
- Define validation rules and expected transformation outputs for testing teams.
- Perform data reconciliation between source and target systems.
- Partner with data governance teams to improve data integrity, metadata accuracy, and documentation quality.
- Develop dashboards, reports, and analytical outputs to support business needs.
- Present findings, insights, and recommendations to technical and non‑technical stakeholders.
Required Skills:
- 8+ years of experience in data mapping, documentation, data quality, and validation.
- 8+ years of hands‑on experience with Azure (Data Lake, Synapse, Data Factory).
- Proficiency with Azure Databricks, GitHub, data warehouses, ETL processes, and data pipelines.
- Strong analytical and profiling skills; ability to assess data structure and quality.
- Expertise in developing dashboards, reports, and self‑service analytics.
- Excellent stakeholder communication and workshop facilitation skills.
- Knowledge of data governance frameworks, metadata management, and enterprise data standards.
Required Education & Certifications:
- Bachelor’s degree in Computer Science, Information Systems, Data Science, or related field.
- Preferred certifications: Microsoft Certified: Azure Data Engineer Associate, Azure Data Scientist Associate, or equivalent.