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Data Analytics Engineer

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Onsite

Data Analytics Engineer

Vernovis

Data Analytics Engineer

Skills

SQL QueriesTableauPythonSnowflakeData AnalysisPower BI

15 days ago

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Important information


Contract type:

Freelance / Contract

Location:

Cincinnati, OH, USA

Work mode:

Onsite

Published on:

6 October 2026

What they need


Job Title:

 Data Analytics Engineer

Location

: Remote

 

Who We Are:

Vernovis is a Total Talent Solutions company that specializes in Technology, Cybersecurity, Finance & Accounting functions. At Vernovis, we help these professionals achieve their career goals, matching them with innovative projects and dynamic direct hire opportunities in Ohio and across the Midwest. 

Come join us:

Vernovis is

looking for a Data Analytics Engineer who enjoys working at the intersection of data, analytics, and business. This person will help turn large volumes of telematics data, including GPS, sensor, event, and risk-related data, into meaningful insights for internal business teams and external customers. The successful candidate will be equally comfortable building Tableau dashboards, digging into large datasets with SQL and Python, and troubleshooting data issues within a production environment. This role will support multiple business units with different data sources and reporting needs, so we are looking for someone who is adaptable, curious, and comfortable moving between planned analytics projects and day-to-day data needs. Experience with large-scale data is important, while exposure to telematics, IoT, insurance, or other high-volume data environments would be especially valuable.

What You'll Do:

  • Design, build, and maintain Tableau dashboards and data visualizations that turn complex telematics and insurance data into clear, actionable insights for internal teams and external customers.
  • Partner with business stakeholders to understand reporting needs, define meaningful metrics and KPIs, and translate business questions into analytical solutions.
  • Use SQL and Python to query, analyze, transform, and validate large datasets across multiple data sources and integrations.
  • Develop analytical data models that provide reliable, reusable, and performant datasets for dashboards, reporting, and ad hoc analysis.
  • Support a large-scale production telematics data pipeline, monitoring data health and investigating data quality, processing, and integration issues as they arise.
  • Analyze GPS, sensor, event, behavioral, and other telematics data to identify trends, risk indicators, anomalies, and opportunities for improved business decision-making.
  • Troubleshoot issues across multiple processing layers, identify upstream and downstream dependencies, assess business impact, and help implement solutions that prevent recurring problems.
  • Support multiple business units with different data environments, adapting reporting and analytical solutions to their individual data sources and business needs.
  • Help strengthen data quality, testing, monitoring, documentation, and observability as the telematics ecosystem and number of data integrations continue to grow.
  • Balance longer-term dashboard and data asset development with ad hoc analysis and day-to-day operational support in a fast-moving environment.

What You'll Have:

  • 2+ years of hands-on experience using SQL and Python to analyze, manipulate, transform, and troubleshoot data.
  • Experience working with large, complex datasets and the ability to efficiently query and analyze high-volume data environments.
  • Experience developing dashboards and data visualizations using Tableau, Power BI, or similar tools, with Tableau experience strongly preferred.
  • Demonstrated ability to move beyond visualization and understand the underlying data structures, models, pipelines, and transformations supporting reporting.
  • Experience translating stakeholder questions and requirements into metrics, data models, dashboards, and actionable analytical insights.
  • Experience investigating data quality issues, anomalies, pipeline failures, or discrepancies across multiple data sources or processing layers.
  • Strong analytical and problem-solving skills with the ability to take an ambiguous business or data problem, investigate it, and determine a practical path forward.
  • Ability to communicate complex data findings clearly to both technical and non-technical audiences, including business stakeholders and end users.
  • Ability to balance project-based development with changing priorities, ad hoc requests, and production support responsibilities.
  • Experience with Snowflake, telematics, IoT, GPS/sensor data, insurance data, or other large-scale event-based datasets is highly preferred.

The Vernovis Difference:

Vernovis does not accept inquiries from Corp to Corp recruiting companies. Applicants must be currently authorized to work in the United States on a full-time basis and not violate any immigration or discrimination laws.

Vernovis provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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