ProSidian Consulting seeks a Survey Data Analyst to support and manage survey data initiatives with data expertise that translates numbers into plain English for forward thinking clients seeking to solve problems and improve operations.
Requirements
- Experience with and understanding of various statistical methods, data extraction and analysis tools
- Experience with statistical software programs, (such as SPSS and SAS) spreadsheets, proficiency with query and data mining tools for querying complex data warehouses.
- Experience with unstructured data analysis, including text analytics, secondary sources, and use of secondary survey research.
- Experience working with research / survey tools including Qualtrics, OpinionLab, SurveyMonkey, Foresee, etc. (Our clients may use both Commercial off The Shelf (COTS) and Custom Designed Platforms)
- Strong ability to analyze quantitative and qualitative data, optimize data sets, tools, and analysis techniques to drive business outcomes.
- Strong background in survey design and deriving insights from survey results
- Strong data skills and a shown ability to use tools such as Excel, SQL, Python, and R to work efficiently at scale
Responsibilities
- Work with the ProSidian Engagement Teams to collect and analyze survey data; report trends and connect the dots to drive improvements across the company's customer touchpoints (email, web, chat sessions, mail, etc.)
- You may assist in designing and launching externally facing surveys using tools like Qualtrics, SurveyMonkey, Vision Critical, and others
- Provide analysis of perception data reporting and recommendations
- Write reports and presentation materials and communicates results to appropriate audiences effectively.
- Assist ProSidian Engagement Teams and the Firm’s Clients with the process of making findings, observations, and recommendations actionable.
- Effectively translate data into insights by proactively and effectively communicating the “so what” from the data, as well as issues and opportunities exposed by the data.
- Continuously drive reporting improvement and efficiency by simplifying and automating where possible, eliminating redundancy across the organization, refining metrics, and building new reports to support decision-making.
Other
- Ability to manage multiple priorities and balance attention to detail with swift execution
- Experience in presenting data visually to provide a clear story
- Experience in synthesizing disparate data sources with effective time management and organization skills in a fast-paced environment.
- Great communication skills, organized, able to multitask and be a team player, good judgment, and decision-making skills are essential.
- Strong interpersonal communication skills that demonstrate the ability to effectively follow-up and communicate with all levels of the organization.
