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Data Analytics Specialist

  • Cloudtrend Inc.
  • 01/31/20
  • Canada
  • 00000-0000
  • Based on Experience / Monthly
  • Full-Time
Cloudtrend Inc. specializes in building and managing an exclusive network of IT professionals to better their career opportunities and meet the demand of the market. We provide career management services and opportunities.

Our client requires a Data Analytics Specialist.

Design and create information products / data visualizations / data dashboards / custom reports to support decision-making.
Provide expertise, insights, and guidance to facilitate strategic and technical planning, implementation, and usage of the analytics and visualization components.

General Responsibilities (any or all):
Design and create information products / data visualizations / data dashboards / custom reports from a variety of data sets / sources / inputs, using SAS Visual Analytics (and/or other software tools).
Lead or facilitate meetings and workshops with departments, clients, stakeholders, and project teams. (Mostly internal; possibly external also.)
Collaborate and contribute as part of a diverse team (staff and contractors).
Examine data sets in order to draw and document conclusions about the information they contain.
Extract knowledge insight from data by applying various techniques and theories including but not limited to signal processing, mathematics, probability models, machine learning, computer programming, statistics, data engineering, pattern recognition and learning, visualization, uncertainty modeling, data warehousing, and high performance computing.
Use data analytics and data science to provide insights, support decision-making and facilitate strategic business planning across multiple ministries.
Provide executives and decision-makers a deeper understanding of their operations, transactions, services and information required for them to identify new opportunities that can only be uncovered through analytics.
Ensure delivery processes are robust, of high quality and repeatable
Use statistical classification techniques such as k-means and hierarchical clustering, partition trees, and logistic regression.
Develop and measure success metrics / performance indicators for multiple projects/programs.
Provide strategic agility and the ability to make sense of large amounts of disparate data to tell a cohesive story to inform client decision-makers, client staff, Albertans and the general public.
Perform and integrate quantitative and qualitative data analysis to create business insights.
Analyze data and prepare information results.
Identify, gather, analyze, and document business (or BI) requirements from several business areas.
Provide analyst support for web portal projects and technology projects relevant to the strategy and platform, as required.
Capture business and technical metadata for information products.
Establish and operate control processes including schedule management, status reporting, issues, risk, and change management at the program level.
Develop and deliver training materials.
Produce deliverables within specified quality standards and timelines.
Define and perform quality assurance on information product/visualization deliverables and other deliverables.
Respond to ad-hoc information inquiries.
Perform data analysis, data quality audits/reviews, statistical analysis, and data mining.
Perform data transformations, cleansing, wrangling, joins, etc. Assess data quality, deal with date formats, missing values, etc. Test different approaches, if required.
Perform coding with languages such as SAS, Python, and R.
Track, analyze, and report web usage/user metrics from various web portals and websites.
Identify and escalate issues and risks, as appropriate.

-Candidate must be willing and able to work full-time, in-person in client office(s) in Edmonton, Alberta. (No relocation funding will be provided by the client.)
-Universiy degree, diploma, certificate or a currently active professional certification or accreditation in a related discipline and 7 years experience
-Experience in Data Analysis and/or Data Analytics and/or Data Science.
-Experience designing and constructing information products, including but not limited to data visualizations, using data analysis/analytics/BI software. (Must be above and beyond spreadsheet software.)

-Experience with and understanding of the application of statistical methods such as regression, significance testing, and other methods to address key business issues.
-Experience in quantitative and qualitative analysis.
-Experience working across both business and technology.
-Written presentation experience; presenting insights in plain language and images.
-Experience in web-based analytics.
-Experience in social media analytics.
-Experience in spatial analysis / geospatial analytics.
-Experience in predictive and/or prescriptive analytics.
-Experience in leading or facilitating business meetings and workshops.
-Experience promoting a business intelligence, analytics, and reporting vision and driving / empowering teams and the broader business to action.
-Experience delivering beneficial insights and analytics strategies to a large organization.
-Experience providing leadership and hands-on support to orientate analytics around delivering value back to the business.
-Experience working on multiple projects concurrently.
-Experience with projects spanning multiple technical environments.
-Experience in Data Analytics and/or Data Science.
-Experience working in a data warehouse/Business Intelligence or relevant data environment; in either a development or support role.
-Experience with relational database modeling techniques.
-Experience using Hadoop.
-Data analysis/analytics experience with unstructured data such as text, pictures, audio, and video.
-Experience with dimensional modeling techniques.
-Experience designing and constructing information products, data visualizations, data dashboards, etc. using SAS Visual Analytics.
-Experience coding with Python.
-Experience coding with R.
-Experience coding with SAS.
-Experience using SQL.
-Experience using Hadoop and/or Apache Spark and/or similar open source software and frameworks.
-Data analysis/analytics experience with big data.
-Experience identifying, gathering, analyzing, and documenting business (or BI) requirements from clients or stakeholders.
-Experience performing data mining.

You can also view and apply for the opportunity here on

When applying, please state the number of years of experience in your response along with your resume to

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