Data Analyst

Dutch Ridge Consulting Group•Harrisburg, PA

1d•Onsite

About The Position

DRCG is looking to hire an experienced Data Analyst with strong skills in data analysis, visualization (Tableau), SQL, and business intelligence to transform complex data into clear and meaningful insights. This role is ideal for a data professional who enjoys exploring data, identifying trends and opportunities, and using visualization techniques to tell compelling stories with data. The ideal candidate is naturally curious, comfortable working with complex datasets, and skilled at translating analytical findings into visualizations that make information easier to understand and act upon.

Requirements

Five or more years of experience in data analytics, business intelligence, data visualization, or a related field.
Demonstrated experience using Tableau to develop interactive dashboards and compelling visualizations.
Strong proficiency in SQL and experience working with relational databases and complex datasets.
Experience performing data analysis to identify trends, patterns, anomalies, and actionable insights.
Experience gathering requirements and translating business questions into analytical and reporting solutions.
Understanding of data visualization principles, dashboard design, and reporting best practices.
Working knowledge of data modeling and the relationships between source data, analytical datasets, and reporting solutions.

Nice To Haves

Strong analytical and problem-solving skills with a curious, investigative approach to data.
Ability to move beyond presenting numbers to explain what the data means and why it matters.
Excellent written, verbal, and visual communication skills.
Ability to communicate analytical and technical concepts clearly to non-technical audiences.
Strong attention to detail and commitment to data accuracy and quality.
Ability to manage multiple priorities and work independently while collaborating effectively with others.
A collaborative and empathetic approach to working with stakeholders with varying levels of technical and data expertise.
Strong customer-service orientation and commitment to delivering useful, high-quality analytics solutions.
Tableau Certified Data Analyst or similar certification.
Experience with Python or R for data analysis, data preparation, or automation.
Experience with exploratory data analysis, statistical analysis, or advanced analytics.
Experience developing dashboards or analytics solutions for operational, performance, or executive reporting.

Responsibilities

Design, develop, and maintain dashboards, reports, and data visualizations that provide meaningful insights into operations and performance.
Explore and analyze data to identify trends, patterns, relationships, anomalies, and opportunities for improvement.
Apply statistical analysis and modeling techniques to identify trends and patterns, evaluate business questions, and support informed decision-making.
Collaborate with stakeholders across court administration to understand business needs, define requirements, and translate them into effective analytics solutions.
Use data storytelling and visualization best practices to communicate complex information clearly to technical and non-technical audiences.
Write and optimize SQL queries to extract, combine, validate, and analyze data from multiple sources.
Perform data profiling and validation to ensure accuracy, consistency, and integrity of analytical and reporting data.
Work with IT teams, data owners, and business stakeholders to investigate data issues and improve data quality and reporting processes.
Evaluate existing dashboards and reporting solutions and recommend enhancements to usability, performance, visualization, and analytical value.
Identify opportunities to improve data collection, business processes, reporting standards, and analytics practices.
Support and advance the organization's business intelligence capabilities through best practices, reusable solutions, and visualization standards.
Help stakeholders become more effective consumers of data by guiding their interpretation of dashboards, metrics, and analytical findings.