Data Analyst 2

JE Dunn Construction

Kansas City, MOFresher3h agovia LinkedIn

This job at a glance

Who can apply
New grads, no experience needed · Bachelor's degree
Must know
StatisticsData visualizationCRMHRISPower BITableau
Nice to have
Data analysis
Work
On-site in Kansas City
Pay
Not stated by the employer.
Skill demand
Data visualization69%Statistics53%CRM3%HRIS3%of 70 similar entry-level jobs posted in the US this week
Listed
Nov 5, 2026 · still open

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About the Role

The Data Analyst 2 will collect, compile, transform, and analyze data, metrics, and statistics from various internal and external sources to create reports and insights to inform management. This role will also act as a specialist on reporting tools and dashboards within the area of specialization. All activities will be performed in support of the strategy, vision and values of JE Dunn.

Key Responsibilities

  • Gathers and analyzes data from a variety of internal and external sources dependent on function supported (e.g., HRIS, CRM, Databases).
  • Maintains knowledge of key operational metrics within the assigned function and other related teams.
  • Extracts large data sets from various sources, manipulating and cleaning data as needed.
  • Utilizes data visualization tools such as Power BI or Tableau to effectively communicate metrics and insights to management.
  • Audits data, data sources, and processes ensuring compliance with data privacy regulations and best practices.
  • Supports leadership with both scheduled and ad-hoc reporting requests.
  • May assist with developing or revising data analytics strategy within the defined function to support the broad organizational data strategy.
  • Builds tools and processes to improve data management and reporting efficiency under direction from leadership.
  • Documents historical reporting, parameters, and datasets to allow time-series comparisons.
  • Partners with business leaders to understand operational needs and build timely and scalable reports using various data sources.
  • Advises team members on data resources and tools available, assisting with finding, cleaning, and analyzing raw data for use.
  • Identifies relevant data sets for area of specialization, building reports and dashboards applicable to both strategic decision making and day-to-day operations.
  • Partners with internal data consulting team on large-scale or complex business data requests.
  • Advises on best practices for integrating technology and tools into daily practices across assigned function.
  • Builds custom reports and templates for use by team members as needed.
  • Uses knowledge of reporting to make recommendations on data applicable to the operations of assigned functions.
  • Partners with data analytics professionals across the organization to enhance data quality in various systems.

Requirements & Tech Stack

  • Ability to perform work accurately and completely, and in a timely manner.
  • Communication skills, verbal and written.
  • Proficiency in MS Office – Intermediate.
  • Proficiency in MS Excel – Intermediate.
  • Proficiency in Power Apps and Power Automate.
  • Experience in Power BI – Intermediate.
  • Knowledge of SQL, including creating simple SQL queries.
  • Knowledge of integrations and API development.
  • Ability to connect to multiple data sets, import data, and transform data to support data visualizations and further analyses.
  • Proficiency in delivering data visualizations to internal customers based on project requirements.
  • Ability to compile statistics and prepare statistical reports.
  • Ability to prioritize multiple projects.
  • Attention to detail and the ability to evaluate data against expected results.
  • Ability to think analytically for translating data into informative visuals and reports.
  • Ability to communicate to various audiences.
  • Ability to build relationships and collaborate within a team, internally and externally.
  • Ability to influence change through innovation and process improvement.
  • Time Management Skills.
  • Listening Skills.

Qualifications

  • Bachelor’s degree in data science, analytics, or related field (Required).
  • In lieu of the above requirements, relevant experience will be considered.

Experience

  • 2+ years’ experience in data analysis (Preferred).
  • 2+ years’ experience in visualization tools (Preferred).

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