Sr. Data Analyst

2 weeks ago

Redmond, United States Biblioso Corporation Full time
Job DescriptionJob Description

Benefits: 

Although Biblioso benefits may vary based on work location and the nature of the job, in general Biblioso employees have access to a competitive benefit package. This package includes a 401(k) retirement plan, disability coverage, EAP (Employee Assistance Program), life insurance, health insurance, paid vacation and sick time, and paid holidays.

 

Job Details: 

Responsibilities

  • Create and implement initiatives, business data standardization, requirements for data software development needed for solutions, and operations process development
  • Collaborate with team members to collect and analyze data
  • Analyze data and processes, for internal customers, vendors, and key stakeholders
  • Create presentations and reports based on recommendations and findings, for internal teams
  • Structure large data sets to find usable information, and across various data sources
  • Work with executives and other business leaders to identify opportunities for improvement
  • Use graphs, infographics and other methods to visualize data
  • Establish KPIs/OKRs to measure the effectiveness of business decisions
  • Work closely with colleagues and stakeholders to gather information, so they need to have strong verbal and written communication skills, as well as be good listeners
  • Liaison with management to coordinate process improvement, project activities and maintain project timeframes

️‍

Qualifications

  • Data coding skills in languages such as SQL, Python, etc.
  • Proficient in using analytical programs (i.e. MS Access, PowerBI, Tableau, Azure Kusto), as well as spreadsheet software (i.e. Excel) and flow-charting tools (i.e. Visio)
  • Knowledge of data gathering, cleaning and transforming techniques
  • Have excellent technical writing skills (i.e. MS Word, PowerPoint, SharePoint) to produce presentations and reports
  • Experience Azure DevOps for work tracking
  • Understanding of data warehousing and ETL techniques, and cloud technologies
  • Ability to work in high-pressure situations
  • Must think creatively to solve problems, need to have strong troubleshooting skills to find new ways to help the team achieve their goals, be a continuous learner with a high-quality focus, and be a self-starter
  • Familiarity with machine learning principles (i.e. Artificial intelligence, data science, training data models)
  • Have experience in business process designs, technical operations (i.e. Hardware or Software testing), and meeting facilitation

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