Senior Data Analyst converting data into strategic insights at Introhive. Collaborating with teams to enhance data quality and creating actionable reports for clients.
Responsibilities
Conducting full lifecycle analysis, including requirements gathering, activities and design
Developing analysis and reporting capabilities, monitor performance, and identify quality control improvements
Working closely with the Principal Client Solutions Architect, Product, Support and Technical Services to build and deploy the first five use-case dashboards for new clients within their first six months to secure initial ROI
Owning the technical configuration for high-stake evaluations and expansion opportunities to prove product value before contracts are signed
Analyzing and interpreting trends or patterns in complex data sets to identify and define opportunities to improve data quality and quantity
Preparing detailed analysis and present recommendations for improvement to team members and management and work with leadership to help prioritize data improvement initiatives
Triaging incoming data investigations using standardized procedures, investigating issues, developing acceptance criteria for fixes, and evolving data quality reports with standardized health metrics
Creating a library of repeatable builds, templates, and step-by-step guides to teach the organization what success looks like, improving overall delivery speed
Requirements
Advanced SQL queries and Python scripting
Strong proficiency in data visualization and reporting tools (Tableau and PowerBI)
Practical experience with APIs, data mapping, and connecting enterprise software platforms
Exceptional attention to detail and a finisher mindset, with the urgency to move technical projects from 90% to 100% completion within 60 to 90 days
High-level client-facing skills with the ability to translate complex technical requirements into clean instructions, and ability to work closely with Solutions Architects, Product teams, and clients alike
Experience manipulating large data sets through statistical software or other methods
Highly organized with the ability to plan work independently, and maintain a high level of accuracy in a fast-paced, demanding environment to meet deadlines
Strong interpersonal, written, and verbal communication skills, with the ability to collaborate effectively across stakeholders, software developers, data engineers, and data scientists
Experience working in an agile environment within a development team or professional services team delivering customer-facing technical solutions
BA/BS in a field that emphasizes data analysis and visualization (e.g., computer science, social sciences, physical sciences, math, engineering, or statistics), or equivalent practical work experience
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