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Reporting & Integrations Engineer

Job in Mentor, Lake County, Ohio, 44060, USA
Listing for: DiCello Levitt LLP
Full Time position
Listed on 2026-05-30
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 110000 USD Yearly USD 80000.00 110000.00 YEAR
Job Description & How to Apply Below

NOTE TO EMPLOYMENT AGENCIES:
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Reporting & Integrations Engineer

Note:

This role is Hybrid, not Remote – requires working onsite 4 days a week. Must live in area with reasonable commute. Relocation is not available.

Join a firm that is shaping front‑page headlines pursuing justice every day, whether litigating some of the most significant civil and human rights cases of our time or ensuring that companies take responsibility for their actions and remediate the harm they have caused.

Position Summary

The Reporting & Integrations Engineer sits at the intersection of data analysis, ETL automation, and emerging AI capabilities to support the firm’s expansion in data visualization and analysis.

Major

Duties & Responsibilities
  • Perform statistical analysis and generate reports to identify trends and key insights that inform business decisions.
  • Design, develop, and maintain data pipelines and ETL processes with a focus on optimizing statistical efficiency and quality.
  • Build and manage API/REST integrations between internal enterprise systems and third‑party platforms.
  • Develop and optimize SQL queries and Python scripts for data processing, transformation, and automation.
  • Monitor, troubleshoot, and debug automation workflows and data processes to ensure reliability and accuracy.
  • Implement and maintain version‑controlled code (Git) for scripts, pipelines, and integration solutions.
  • Automate recurring tasks using scheduling and/or orchestration tools, such as Windows Task Scheduler.
  • Maintain current and accurate knowledge of data storage and management best practices.
  • Create clear, actionable visualizations and dashboards for both technical and non‑technical audiences.
  • Design and maintain interactive dashboards and reports using BI tools like Tableau or Power BI.
  • Integrate data from multiple sources and ensure data consistency for accurate reporting.
  • Monitor data quality, identify gaps or inconsistencies, and recommend improvements to data collection processes or reporting methods.
  • Ensure database projects are completed on time and within estimated costs.
  • Work closely with cross‑functional teams (practice groups, Finance, Human Resources, IT) to understand business needs and deliver integration requirements.
  • Document system dependencies, workflows, and integrations for maintenance and knowledge sharing.
  • Perform other duties as assigned.
Knowledge, Skills & Abilities
  • Strong analytical skills with attention to detail and accuracy.
  • Proficiency in Python (or other coding languages) for scripting, automation, and data manipulation.
  • Strong SQL skills for querying and manipulating relational data.
  • Familiarity with data modeling, ETL processes, and integrating data from multiple sources.
  • Curiosity about data and a passion for uncovering hidden insights.
  • Analytical, diligent, and rigorous approach to problem solving.
  • Technical expertise in data models, database design, data mining, and segmentation techniques.
  • Ability to interpret data in a business context and provide actionable insights.
  • Strong written and verbal communication skills for presenting findings to stakeholders.
  • Ability to multitask and prioritize multiple high‑level assignments in a fast‑paced environment.
  • Extremely organized with great attention to detail.
  • Knowledge of legal industry processes is a plus, though not required.
Education & Experience
  • Bachelor’s degree in Information Technology, Business Intelligence, Analytics, or related field, or equivalent work experience.
  • Minimum of four years of experience in a similar role.
  • Experience with business intelligence tools such as Tableau, Power BI, Qlik, or similar platforms.
  • Salesforce certification(s) beneficial but not required.
  • Experience with AI integrations, SharePoint environments, SFTP workflows, and Azure or other cloud platforms preferred.
  • Experience in statistical modeling, advanced data analysis, and complex data visualization.
  • Optional:
    Master’s Degree in Applied Analytics, Data Science, or related field.
What DiCello Levitt Offers
  • Salary Range:
    Varies; starting salary dependent on experience and location.
  • Comprehensive benefits package (medical,…
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