ShyftLabs is a fast-growing data and technology company partnering with Fortune 500 organizations to deliver innovative, data-driven solutions. We help enterprise clients solve complex business challenges through modern data platforms, cloud technologies, advanced analytics, artificial intelligence, and scalable software engineering.
We are seeking a Data Visualization & Analytics Specialist to support the development and delivery of data-driven insights through interactive dashboards, automated reporting, and analytical solutions. In this client-facing role, you will work closely with business stakeholders and cross-functional teams to transform complex datasets into clear, actionable insights that support campaign performance measurement and strategic decision-making.
The ideal candidate combines strong analytical capabilities with hands-on experience in Tableau, Looker, Python, and Google BigQuery. You will take ownership of dashboard development, standardized campaign reporting, and reporting automation to improve data accessibility, consistency, and operational efficiency.
Dashboard Development & Visualization: Design, develop, and maintain internal- and external-facing dashboards using Tableau, Looker, and other analytical tools to provide clear visibility into campaign performance and business outcomes.
Campaign Performance Reporting: Build and maintain standardized reporting solutions for End-of-Campaign (EOC), End-of-Quarter (EOQ), and End-of-Year (EOY) reporting, ensuring consistent and reliable performance measurement.
Reporting Automation: Automate recurring dashboards, reporting workflows, and data preparation processes to improve efficiency, reduce manual effort, and ensure timely delivery of business insights.
Data Analysis & Insights: Analyze large and complex datasets using exploratory data analysis and statistical techniques to identify trends, patterns, correlations, and actionable opportunities across business domains.
Data Sourcing & Modeling: Leverage Google BigQuery and other relevant data sources to extract, query, transform, and organize data for analytical use cases and scalable reporting solutions.
Data Quality & Governance: Perform data profiling, cleansing, reconciliation, and validation to maintain data accuracy, consistency, completeness, and reliability across dashboards and reports.
Stakeholder Collaboration: Partner with business stakeholders and cross-functional teams to understand reporting requirements, define key performance indicators (KPIs), and translate business needs into effective analytical solutions.
Business Communication: Present analytical findings and campaign performance insights clearly to diverse audiences, tailoring reporting and recommendations to stakeholder needs.
End-to-End Ownership: Manage assigned deliverables from requirements gathering through development, validation, deployment, and ongoing maintenance, proactively identifying risks, dependencies, and roadblocks.
Documentation & Knowledge Transfer: Maintain clear documentation of dashboards, data models, reporting workflows, data dependencies, and troubleshooting procedures to support knowledge sharing and long-term maintainability.
Continuous Improvement: Identify opportunities to enhance reporting capabilities, streamline analytical processes, and improve the accessibility and usability of business intelligence solutions.
Hands-on experience developing dashboards, reports, and data visualizations using Tableau and/or Looker.
Strong proficiency in Google BigQuery, including SQL-based data extraction, querying, analysis, and data management.
Experience using Python and analytical or visualization libraries to support data analysis, data manipulation, and reporting automation.
Strong analytical and problem-solving skills, with the ability to work with large datasets and apply statistical techniques to business challenges.
Experience with exploratory data analysis (EDA), identifying trends and correlations, and translating findings into actionable recommendations.
Knowledge of data profiling, cleansing, validation, reconciliation, and data quality or governance practices.
Experience gathering business requirements and translating them into scalable dashboards, data models, and reporting solutions.
Strong communication and stakeholder-management skills, with the ability to explain complex data and analytical findings to both technical and non-technical audiences.
A proactive, detail-oriented approach with a strong sense of ownership and the ability to manage multiple deliverables in a fast-paced environment.
The ability to work independently and collaboratively within a lean team, managing priorities and resolving issues with minimal supervision.
A commitment to documentation, knowledge sharing, and continuous improvement of analytical processes and reporting solutions.
