AI Solutions Data Analyst

J.E. Dunn Construction Group Inc PKansas City, MO
Onsite

About The Position

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. Autonomy & Decision-Making: Makes decisions on assigned areas of responsibility, provides recommendations to supervisor and refers all exceptions to supervisor, as needed. Career Path: Senior Data Analyst

Requirements

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

Nice To Haves

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

Responsibilities

  • Gathers and analyzes data from a variety of internal and external sources dependent on function supported (e.g. HRIS, CRM, Databases etc.)
  • Maintains knowledge of key operational metrics within the assigned function and other related teams
  • Extracts large data sets from various sources to facilitate reporting and analysis, 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

Benefits

  • Professional Non-Union benefits package
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