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Internship Target Data Analyst Jobs in Arizona (NOW HIRING)

The ideal candidate will have strong SQL skills and experience analyzing, profiling, validating, and transforming data across legacy and target systems. This role requires close collaboration with ...

Examine source system data and map it to target system structures, ensuring alignment with business ... Solid understanding of data analysis techniques and data lifecycle concepts * Experience working ...

Examine source system data and map it to target system structures, ensuring alignment with business ... Solid understanding of data analysis techniques and data lifecycle concepts * Experience working ...

GCP Data engineer

Phoenix, AZ · On-site

$113K - $136K/yr

... target data architecture Solid understanding of Data Analytics concepts and methodologies Perform Exploratory Data Analysis (EDA) to identify trends and business insights Experience designing ...

Senior Data Analyst

Phoenix, AZ · On-site

$85K - $107K/yr

Data mapping and Source-to-Target Mapping (STTM) validation * Financial and statistical reconciliation * Defect tracking and data quality analysis Preferred Skills * AI experience * Legacy Mainframe ...

Develop bi-directional data mapping between source and target systems. * Perform data transformation analysis and support migration or integration efforts. * Collaborate with business users ...

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Internship Target Data Analyst information

What cities in Arizona are hiring for Internship Target Data Analyst jobs? Cities in Arizona with the most Internship Target Data Analyst job openings:

Data Analyst

Conch Technologies Inc

Tempe, AZ • On-site

Contractor

Re-posted 2 days ago


Job description

Job Title: Data Analyst

Location: Tempe, AZ (Onsite Tuesday–Thursday) – Local Candidates Only

Duration: 6-Month Contract-to-Hire

W2 Contract

Visa: Must be able to convert to full-time without sponsorship.

Job Description

We are seeking a Data Analyst with experience supporting data migration, data integration, and enterprise data platforms. The ideal candidate will have strong SQL skills and experience analyzing, profiling, validating, and transforming data across legacy and target systems. This role requires close collaboration with business and technical teams to ensure high-quality data migration, accurate data mapping, and successful implementation of enterprise data solutions within a Microsoft Azure environment.

Top Must-Have Skills
  • 4+ years of Data Analysis/Data Integration experience

  • Strong SQL experience (Azure SQL/SQL Server preferred)

  • Data Mapping, Data Profiling & Data Migration

  • Azure Data Platform experience

Required Skills
  • 4+ years of experience in Data Analysis, Data Engineering, or Data Migration

  • Strong SQL skills with Azure SQL Database, Azure SQL Managed Instance, or SQL Server

  • Experience with data profiling, validation, reconciliation, and quality analysis

  • Experience with data mapping, transformation, and migration initiatives

  • Knowledge of relational database design, normalization, and denormalization

  • Experience working with structured, semi-structured, and unstructured data

  • Strong analytical, problem-solving, and communication skills

  • Ability to collaborate with Business Analysts, Architects, SMEs, and development teams

Preferred Skills
  • Microsoft SQL Server

  • Azure Cosmos DB or other NoSQL databases

  • Kusto Query Language (KQL)

  • Azure Monitor / Azure Data Explorer

  • Azure Data Lake Storage

  • Microsoft Fabric / Foundry

  • Databricks

  • Azure Machine Learning

  • Data Lakes & Data Warehousing

  • Data Governance, Metadata Management, and Data Lineage

Key Responsibilities
  • Analyze, profile, and validate data across legacy and target systems

  • Develop and maintain source-to-target data mappings

  • Support ETL, data transformation, and migration activities

  • Identify and resolve data quality issues and anomalies

  • Perform data reconciliation and validation during migration

  • Collaborate with business and technical teams to define transformation rules

  • Document data flows, mappings, schemas, and transformation logic

  • Support enterprise data platform, data warehouse, and data lake initiatives

  • Contribute to continuous improvement of data migration processes and architecture

Best regards,
Sai Koushik Bezawada
Senior US IT Recruiter
Desk: 380-999-9016
Email: koushik.b@conchtech.com
Web: www.conchtech.com