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Hybrid Senior Data Analyst Senior Data Analyst with verification

Affirma · United States Of America · Hybrid

About the job

Ranked one of Puget Sound Business Journal's "Best Workplaces" and "Fastest Growing Mid-Size Companies" Affirma is expanding and looking to hire talented individuals. We are seeking a Data Analyst to join our growing Data & Analytics team. This individual will support Affirma's mission to provide exception value to our clients by planning, executing, and deploying data management solutions.

Qualifications
  • Advanced knowledge of Power BI for creation of data models, visualizations, reports, and dashboards (4-6 years)
  • Advanced visual design in dashboarding
  • Clear understanding of dimensional data modeling, ETL development, and data warehousing in a professional capacity
  • Experience retrieving, aggregating, and manipulating data from complex relational databases using T-SQL/SQL and other equivalent querying languages
  • Demonstrated ability to guide individual and group stakeholder discussions and requirements gathering interviews
  • Ability to understand and communicate technical concepts and requirements to business users and supporting IT groups
  • Ability to work in a dynamic environment with some level of ambiguity to implement customer and project requirements with minimal supervision
  • Driven by analytics and naturally curious to ask "why" and "what if"
  • Excellent written and verbal communication with stakeholders, team members, and in documentation
  • Bachelor's degree or equivalent education and/or experience

Responsibilities:
  • Knowledge of programming or scripting language like R or Python
  • Nice to have, experience working with Big Data tools like HIVE, Hadoop, etc. Responsibilities
  • Design, propose, and develop data visualization solutions
  • Collaborate with team members and stakeholders to create, refine and debug reports
  • Write and maintain documentation to describe development, logic, scripting, testing, changes, and corrections
  • Support the release of solutions into production environments
  • Balance shifting priorities, demands, and timelines while effectively communicating expectations to team members and stakeholders in a clear and timely fashion
  • Provide technical to assistance to data consumers regarding errors, problems, or questions with data and reports
  • Provide thought leadership, best practices, and standards required to deliver effective, lasting, and easy-to-maintain solutions to clients
  • Continuously grow depth and breadth of knowledge of leading data and analytics tools and principles
  • Other as assigned by management

Accountabilities and Measures
  • Works well in a fast-paced, collaborative work environment
  • Strong diplomacy and conflict resolution skills
  • Eagerness to improve processes and contribute to the growth of a dynamic company
  • Creative and thinks outside the box
  • Experience working with Collaboration tools ie: Teams, Zoom, and etc.
  • Keeping our clients happy
  • Staying within project budget while adhering to billable and un-billable policies

Benefits include:
  • Medical, dental, and vision offered
  • Company paid short-term disability, long-term disability, AD&D, and life insurance
  • 401(k) retirement plan offered
  • Paid Time Off
  • Paid Sick Leave
  • 9 Paid U.S. holidays
  • Referral program

Why Affirma?
  • One of Washington's Fastest Growing Private Companies & Top 100 Best Companies to Work For (According to Seattle Business Magazine and Puget Sound Business Journal)
  • Casual environment, surrounded by incredibly intelligent and motivated co-workers, and a performance-driven culture
  • Flexible Schedule
  • Opportunity for growth

Affirma is an Equal Opportunity Employer and does not make employment decisions or otherwise discriminates based on race, creed, color, national origin, sex, military status, sexual orientation, or the presence of any sensory, mental, or physical disability, genetic information, or any other category protected by law.


Desired Skills and Experience

Senior, Data, Analyst