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).