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