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Digital Data and Visualization Engineer - Onsite Columbus or Atlanta, GA

Job Summary:

Synovus has a vision to expand its digital footprint and create a customer-centric, differentiated experience that supports our brand promise and delights our customers. Under the direction of the Director of Digital Portfolio Ops, the Digital Data and Visualization Engineer will be key in our digital data transformation and will drive technical solutions to help improve the scalability and performance of our data stores, data integration, dashboarding, and reporting. This role will be responsible for creating dashboards & visualizations, converting raw data into actionable reports, turning data into valuable insights, and providing clarity to product and business stakeholders. Deep hands-on knowledge of PowerBI, SQL, and Databricks will be needed as well as being proactive about finding problems & solutions for the digital product team. An understanding of business intelligence and data warehousing concepts within software life-cycle development is also needed. Application of analytical rigor to leverage existing and developing analytic infrastructure to support Power BI dashboards & reporting, creation of predictive models, and strategic analysis is required. Expertise in data analysis, data mining, and data visualization to drive past the numbers and help build solid recommendations for strategic decisions of digital initiatives also expected. Partnering with product and application owners, business leaders, marketing, IT, and customer advocates and will be instrumental in fostering a culture of data informed decision-making.

Job Duties and Responsibilities:

  • Use varying techniques ranging from simple data aggregation to complex data mining and trend analysis to gather, manage and interpret data.

  • Present digital analytics findings to stakeholders, providing strategic recommendations for improving digital marketing efforts, customer journeys, and conversion rates.

  • Generate monthly digital reports, analyzing and presenting key performance indicators (KPIs), user engagement metrics, and digital product performance to stakeholders.

  • Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity

  • Ensure analytics systems meet business requirements and implement industry best practices
  • Manages third party vendors, negotiating with and driving solution providers to adopt data standards and delivery
  • Serves as a subject matter expert, thought leader and innovation champion on data strategies across the enterprise
  • Proactively identify data gaps, errors, anomalies, inconsistencies, and redundancies in the content, structure, and relationships within databases
  • Leverages and deploys methodologies and techniques that increase collaboration and promotes a culture of experimentation and innovation
  • Maintain a pulse on cutting-edge data visualization and engineering trends and constantly strive for innovative and creative solutions
  • Successfully collaborates and partners with internal leaders and stakeholders to understand objectives and establish priorities
  • Designs data integrations and data quality framework and works closely with internal partners to develop strategy for long term data platform architecture.

The information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.

Synovus is an Equal Opportunity Employer supporting diversity in the workplace.


Minimum Experience:

  • 7+ years of experience within Business Intelligence or Data Science field with a focus on Data Visualization
  • 3+ Years' experience with Data Visualization

Required Knowledge, Skills, & Abilities:

  • ETL Expertise is essential (SQL/R/Python) and strong understanding of data modeling concepts and design (i.e., to prepare framework for reporting)
  • Advanced skill set in data visualization development, advanced calculations, and developing interactive visualizations and demonstrated experience creating graphical user interfaces, mockups, prototypes, and design documents.
  • Exceptional collaboration skills across a variety of audiences; can successfully advocate data initiatives across competing objectives and constraints within business, IT and executive leadership.
  • Demonstrated experience in establishing and enforcing internal processes and best-practices that ensure consistent quality in design and execution of the team's work
  • Experience working with streaming and unstructured data from multiple data sources and REST/SOAP Web Service experience
  • Knowledge of relational databases and database design
  • Knowledge of statistical and data mining techniques including model evaluation/validation
  • Proven track record of Innovation and expertise in Data Engineering

Preferred Knowledge, Skills, & Abilities:

  • Deep hands-on knowledge of PowerBI, SQL, and Databricks

  • Ability to multi-task with superior decision-making, analytical and problem-solving abilities

  • Strong ability to communicate ideas effectively- both technical and conceptual; verbally and written
  • Quickly comprehends the functions and capabilities of new technology.
  • Ability to translate complex data into user-friendly and meaningful information
  • Experience in Agile Environments

#LI-SR1

#LI-Onsite

Average salary estimate

$110000 / YEARLY (est.)
min
max
$100000K
$120000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Digital Data and Visualization Engineer - Onsite Columbus or Atlanta, GA, Synovus

As a Digital Data and Visualization Engineer at Synovus, you’ll play a pivotal role in transforming our digital data landscape right from our vibrant offices in Columbus or Atlanta, GA. We’re on a journey to enhance our customer experience, and your expertise will help us create impactful dashboards and visualizations that convert raw data into actionable insights. You’ll be working under the guidance of the Director of Digital Portfolio Ops, focusing on improving the scalability and performance of our data systems, ensuring that business and product stakeholders have the clarity they need to make informed decisions. Your day-to-day will involve collaborating with various teams to present digital analytics findings and strategic recommendations that can enhance our digital marketing efforts and customer journeys. Deep knowledge of PowerBI, SQL, and Databricks is essential for this role, alongside your ability to proactively identify data gaps and employ innovative solutions. With hands-on experience in data visualization and ETL methods, you will conduct complex data mining and trend analysis to support our broader analytics infrastructure. Your knack for storytelling through data will be key, as you help our teams understand complex trends and drive better decision-making through engaging presentations and reports. This is more than just a job; it's a chance to lead the charge for data-informed culture at Synovus and make a tangible impact on our digital products and strategy. If you're ready for a challenge that embraces creativity and analytical thinking, we’d love to hear from you!

Frequently Asked Questions (FAQs) for Digital Data and Visualization Engineer - Onsite Columbus or Atlanta, GA Role at Synovus
What are the primary responsibilities of a Digital Data and Visualization Engineer at Synovus?

The Digital Data and Visualization Engineer at Synovus is responsible for creating dashboards and visualizations, converting raw data into actionable reports, and providing insights to stakeholders. They also manage data pipelines, perform complex data analysis, and present findings that enhance digital marketing efforts and user engagement.

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What qualifications are required for the Digital Data and Visualization Engineer position at Synovus?

Candidates for the Digital Data and Visualization Engineer role at Synovus should have at least 7 years of experience in Business Intelligence or Data Science with a focus on Data Visualization. Specific skills in SQL, PowerBI, Databricks, and familiarity with ETL processes are essential for success in this position.

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How does a Digital Data and Visualization Engineer contribute to decision-making at Synovus?

At Synovus, the Digital Data and Visualization Engineer plays a critical role by presenting digital analytics findings and strategic recommendations to stakeholders. Their work helps to inform key decision-making regarding digital marketing strategies, improving customer journeys, and optimizing product performance.

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What kinds of tools and technologies does a Digital Data and Visualization Engineer use at Synovus?

The Digital Data and Visualization Engineer at Synovus utilizes tools like PowerBI for data visualization, SQL for data manipulation, and Databricks for data processing. They also work with various data sources and technologies to create scalable data integration solutions.

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What is the work environment like for a Digital Data and Visualization Engineer at Synovus?

The work environment for a Digital Data and Visualization Engineer at Synovus is collaborative and innovative, focusing on fostering a culture of data-informed decision-making. Employees often engage with various internal stakeholders and contribute to cross-functional teams to advance digital initiatives.

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Common Interview Questions for Digital Data and Visualization Engineer - Onsite Columbus or Atlanta, GA
Can you describe your experience with PowerBI and how you utilize it in your projects?

When answering this question, highlight specific projects where you've used PowerBI, focusing on the dashboards you created and the insights derived from them. Emphasize your technical skills and ability to convert complex data into visual formats that stakeholders can easily interpret.

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How do you approach data quality and ensure accuracy in your visualizations?

Discuss your methods for validating data quality, including the techniques you use to identify anomalies and inconsistencies. Explain how you implement processes that ensure data integrity before presenting insights, making it clear that accuracy is a key priority in your work.

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What strategies do you use for effective data storytelling?

Effective data storytelling involves communicating complex data insights clearly. You might explain your approach, which includes understanding your audience, focusing on key insights, and using visuals to support your narrative. Discuss examples that illustrate your ability to engage stakeholders through compelling data presentations.

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How do you stay updated with trends in data visualization and analytics?

Share your commitment to continuous learning by mentioning resources you follow, such as industry blogs, webinars, or forums. Highlight any courses or certifications you have completed, demonstrating your proactive approach to keeping your skills sharp and up to date.

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Can you explain a time when you had to collaborate with different teams on a data project?

Use this opportunity to describe a specific scenario where teamwork was essential. Detail your role in aligning objectives, overcoming challenges, and achieving goals through collaboration, emphasizing communication skills and the importance of diverse perspectives in data projects.

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What methodologies do you follow for data integration in complex environments?

Discuss your experience with various data integration techniques, focusing on the methodologies you prefer and why they work best in complex scenarios. Emphasize your technical skills and how they help facilitate seamless data workflows.

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Describe a complex data problem you solved and the process you followed.

Here, narrate a challenging data issue you encountered, explaining the steps you took to analyze it, the tools you used, and how you arrived at a solution. This demonstrates your analytical thinking and problem-solving skills.

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How do you prioritize your tasks when dealing with multiple projects?

Share how you assess project urgency and importance, mentioning any tools or techniques you use for task management. This response should show your organizational skills and ability to manage time efficiently in a dynamic work environment.

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What is your experience with data mining techniques?

Discuss the specific data mining techniques you are familiar with and provide examples of scenarios where you applied them to uncover valuable insights. This will reflect your expertise in data analysis and highlight your ability to drive strategic decision-making.

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How do you ensure that your work aligns with the overall business strategy?

Explain how you take the time to understand business objectives and how you align your analytics work with those goals. Share examples of how your insights have directly influenced strategic initiatives, underscoring your role as a business partner in data-driven decision-making.

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Full-time, on-site
DATE POSTED
March 29, 2025

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