Junior Data Analyst

  • Irving, TX
  • Posted 14 hours ago | Updated 14 hours ago

Overview

Remote
On Site
20 - 25
Full Time
10% Travel
Unable to Provide Sponsorship

Skills

Advanced Analytics
Analytics
Data Governance
SQL Azure
SQL

Job Details

Job Title: Junior Data Analyst

Experience: 2–4 Years
Location: Hybrid / Onsite
Employment Type: Full-Time

Job Summary

We are seeking a detail-oriented and analytical Data Analyst with 2–4 years of experience in data analysis, reporting, and analytics solutions. The ideal candidate will have strong hands-on experience with SQL, Excel, Python, and data visualization tools to transform raw data into meaningful business insights. This role involves working closely with business stakeholders, supporting cloud-based analytics platforms, and ensuring high-quality, reliable reporting outputs.

Key Responsibilities

  • Analyze, validate, and transform structured and semi-structured data from multiple source systems to support business and operational reporting.

  • Develop and maintain SQL queries, stored procedures, and ad-hoc reports to extract insights from large datasets.

  • Design, build, and automate dashboards and reports using Power BI, Tableau, or similar visualization tools.

  • Perform data cleaning, normalization, validation, and reconciliation to ensure data accuracy and consistency across systems.

  • Support and enhance ETL and data ingestion pipelines using cloud-based tools and analytics platforms.

  • Work with cloud data environments such as Azure (Data Factory, Data Lake, Databricks, Synapse, Azure SQL) to support scalable analytics solutions.

  • Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies that support data-driven decision-making.

  • Collaborate with cross-functional teams to gather requirements and translate business needs into analytical and reporting solutions.

  • Optimize SQL queries and reporting workflows to improve performance and reduce processing time.

  • Prepare clear documentation, dashboards, and presentations to communicate insights to technical and non-technical stakeholders.

  • Participate in Agile ceremonies, including sprint planning, stand-ups, and retrospectives, using tools like Jira.

  • Support data governance, quality standards, and audit processes to ensure reliable and compliant reporting outputs.

Required Skills & Qualifications

  • 2–4 years of professional experience as a Data Analyst or similar analytics role.

  • Strong proficiency in SQL (T-SQL preferred) for querying and data analysis.

  • Hands-on experience with Excel for data analysis and reporting.

  • Experience using Python (Pandas, NumPy) for data analysis and automation.

  • Proficiency in data visualization tools such as Power BI and/or Tableau.

  • Exposure to cloud-based data platforms, preferably Microsoft Azure.

  • Understanding of ETL processes, data pipelines, and data warehousing concepts.

  • Experience working with large datasets and optimizing analytical queries.

  • Familiarity with version control tools like Git.

  • Strong analytical thinking, problem-solving, and communication skills.

Preferred / Nice-to-Have Skills

  • Exposure to Azure Data Factory, Azure Databricks, or Snowflake.

  • Basic experience with big data technologies (Spark, Hive, Hadoop) is a plus.

  • Knowledge of data quality, validation, and reconciliation processes.

  • Familiarity with Agile/Scrum methodologies.

  • Interest in advanced analytics, automation, or machine learning concepts.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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