Bring your curiosity, spatial analytics prowess, and passion for transit to bear on real-world problems and opportunities at Kitsap Transit! We are an innovative transit authority serving Kitsap County, the Navy, and the Puget Sound region with our multi-modal system of buses (fixed-route, worker/driver, on-demand), ferries (local and cross-sound), vanpools and park & ride lots. In this position, you will work on a diverse, challenging portfolio of high-impact projects that drive the agency's policy and strategy. You have a solid foundation of experience in spatial analysis, Python, and data visualization/dashboards (i.e. Power BI, Tableau) and can communicate clearly and effectively on your data projects.

Summary: Under general supervision, leads the Marketing department’s research needs in priority areas, including customer experience, ridership growth and marketing campaigns. This position will collaborate across departments and use data to identify, develop and communicate key performance indicators, trends, forecasts and business opportunities.

Essential Duties

Leads marketing research to understand customer needs and develops strategies for the growing use of Kitsap Transit’s services.  Uses a wide range of research methods, data processing techniques and rigorous analysis to describe and monitor sources of demand, demand patterns, customer pain points, ridership growth opportunities and challenges.

Analyzes marketing efforts to optimize effectiveness of strategies used to reach and engage target audiences. Studies market trends to determine how best the agency can respond to emerging trends and patterns.  Analyzes customer feedback, survey data and other data sources to monitor and evaluate impact of marketing activities and service changes on customer satisfaction, customer experience and community relations.

Identifies data requirements for research projects, collects the required data, performs ETL (extract, transform, and load) processes and uses statistical and analytical techniques to answer business questions, inform field research, and develop insights to assist the agency in decision making. Data sources may include and is not limited to surveys, field observations, focus groups, interviews, website analytics, internal data sources, census data, geospatial data, and external data sources (including web APIs).

Produces, maintains and queries databases and/or data warehouses using SQL. Conducts data analysis, performs data cleaning and management with Python and/or R. Automates tasks with scripts using Python or other languages. Creates maps and GIS data products using ArcGIS Pro. Produces interactive data visualizations and dashboards using Power BI and/or Tableau.

Collects, analyzes and presents data on paid, earned, shared, and owned (PESO) media; transit agency ridership; service quality/performance; customer feedback/satisfaction; customer-journey maps; market demand; and channel performance; and other priority areas as assigned, with an eye towards recommending changes to improve performance and customer experience.

This position reports to the Marketing and Public Information Director.

Qualifications

Knowledge, Skills and Abilities:

• Strong problem-solving skills, strategic thinking, and the ability to frame business questions into data analysis problems and informed decision-making.
• Advanced proficiency in data validation, manipulation (i.e. cleaning, filtering, aggregation, joining, preprocessing data), and visualization using Excel, Microsoft Power Query, Power BI, Tableau, Python and/or R. Proficient in writing scripts in Python or other languages to automate tasks.
• Advanced proficiency in designing and maintaining dashboards with Power BI and/or Tableau.
• Advanced GIS knowledge and proficiency in ArcGIS Online and ArcGIS Pro.
• Network analysis, geoprocessing tools, ArcGIS Experience Builder, and Field Maps.
• JavaScript, HTML, CSS and Leaflet for developing web maps.
• Intermediate proficiency in scraping data from the web through APIs and HTTP requests.
• Cloud platforms like Azure Cloud, Google Cloud/Maps, or Amazon Web Services (AWS).
• Proficiency in basic statistical concepts and descriptive analysis; inferential statistics; and hypothesis testing. 
• Proficiency in using IDEs (i.e. Microsoft Visual Studio) and version-control tools (i.e. Git, GitHub).
• Intercept interviews, customer-journey mapping, marketing research and/or customer segmentation analysis.
• Willingness to stay abreast of the evolving state of practice in data analysis and continuous learning to improve knowledge, skills and abilities.
• Ability to work independently and as part of a collaborative team and prioritize workload to accomplish tasks with defined timelines in a fast-paced environment.
• Project management skills.
• Ability to communicate complex technical information effectively to diverse audiences through reports and presentations.
• Proficient in Microsoft Office suite including Word, Excel, Outlook and PowerPoint.

Education and Experience:  

Bachelor’s degree in business analytics, marketing, planning, social science, computer science, data science, artificial intelligence, data analytics, statistics, math, physics, human-centered design and engineering, transportation engineering, engineering, economics, environmental studies, geography, or a closely related field AND two years of increasingly responsible experience in data analysis, data engineering, digital marketing/advertising, demographic/behavioral research, or transportation planning; OR at least six years of demonstrated experience in any of the fields listed above which provides the applicant with the knowledge, skills and abilities required to perform the work effectively and efficiently.  Experience working with cloud platforms like Azure Cloud, Google Cloud/Maps, or Amazon Web Services (AWS) as well as relational databases and MS SQL Server, PostgreSQL or Oracle are highly desirable.

Licenses and Certifications: The following certifications are highly desirable:

• Tableau Certified Data Analyst
• Google Data Analytics Professional Certificate
• Meta Marketing Analytics Professional Certificate
• Microsoft Power BI Data Analyst Professional Certificate
• ESRI ArcGIS Pro Professional Certificate
• Microsoft Azure Data Fundamentals Certificate
• Data Engineer Associate Certificate.