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Fresche Solutions

Experts in IT development, modernization & transformation || Voted Top Employer since 2015

Senior Data Analyst

Data AnalystData AnalystFull TimeRemoteSeniorTeam 201-500H1B No SponsorCompany SiteLinkedIn

Location

Canada

Posted

82 days ago

Salary

0

Seniority

Senior

Bachelor Degree5 yrs expEnglishAzureETLSQL

Job Description

Senior Data Analyst

Fresche Solutions

• work on various Big Data, Data Warehouse, and Analytics projects for our world-class clients • collaborate with project teams of varying sizes and compositions • interact directly with clients to analyze and document requirements • contribute to the design of data and analytical solutions • support the successful delivery of project outcomes • primarily work with Microsoft technologies including Azure, Fabric, Dynamics 365, and Power BI • analyze data processes to understand, document, and revise those processes • analyze, clean, and study data to achieve specific project outcomes • lead discovery, requirements gathering, and analysis sessions with clients to understand data needs • translate client data requirements into actions that support the development of data solutions • establish patterns and best practices for data analysis, transformation, cleansing, and requirements translation • identify and support data governance policies and procedures to ensure data confidentiality, integrity, and availability • stay current on emerging technologies and recommend improvements to data management and analytics capabilities

Job Requirements

  • Strong verbal and written communication skills tying together technology and architecture to achieve business outcomes
  • At least 2 years of consulting experience in a data analyst role
  • At least 5 years of experience in data and analytics or closely related fields
  • At least 2 years of experience working with SQL
  • Understanding of data management and data visualization practices
  • Knowledge of ETL/ELT tools and concepts such as data mappings, transformations, and pipeline orchestration
  • Proficiency with data modeling and data analysis tools
  • Basic knowledge of data architecture concepts including storage, engineering, modeling, performance, and governance
  • Strong problem solving and time management skills

Benefits

  • great work-life balance
  • flexible hours
  • work anywhere in North America

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