Data Analytics Specialist - Remote / Telecommute

CYNET SYSTEMS; Edmonton; Remote; CAD 80,000 - 100,000; Full time

Job summary

A leading company is seeking a Data Analyst with extensive experience in statistical programming and data science. The role involves providing strategic support on data initiatives, analyzing complex datasets, and collaborating with clients to enhance analytics capabilities. The ideal candidate will have a strong background in predictive modeling and data engineering, along with excellent communication skills to present insights to stakeholders.

Qualifications

• 6+ years experience in statistical and programming languages.
• 6+ years experience in building analytical and quantitative models.
• 6+ years experience with data science and AI projects.

Responsibilities

• Provide hands-on support and leadership on data initiatives.
• Analyze and organize raw data for predictive modeling.
• Collaborate with clients to understand their analytics needs.

Skills

Statistical Analysis

Data Visualization

Machine Learning

Data Engineering

Programming

Predictive Analytics

Education

Bachelor's degree in Computer Science

Tools

R

Python

SQL

Hadoop

Spark

Azure

Snowflake

Job description

Job Description:

Duties:

• Provides hands-on support, leadership, advice, and direction on the strategic data initiatives undertaken as part of the Data Strategy.
• Coordinates with internal and external clients to understand their analytics needs and how to best utilize data to meet these needs.
• Anticipates, identifies, and responds to complex data analytic requirements across client departments and external organizations, aligning with other areas of the branch and broader department.
• Adapts services and project deliverables as work progresses, responding to emerging user and business needs, as well as design and technical opportunities.
• Collaborates with the Candidate Analytics Capability Centre to:
• Provide expertise and leadership in designing and executing analytic projects
• Develop and share data models and products
• Continuously improve analytics capacities
• Support the development of analytic service offerings
• Analyze and organize raw data for prescriptive and predictive modeling, building algorithms that deliver business value
• Evaluate business needs, enhance data quality, and design analytical tools to support data services
• Conduct complex data analysis and collaborate with data engineers and analysts
• Coach and mentor team members, fostering a client-centric approach and innovative solutions
• Work with senior management to promote data as a strategic asset and maintain stakeholder relationships
• Create and present options, roadmaps, frameworks, models, and briefings for senior executives regarding analytics services
• Facilitate strategic conversations to develop shared understanding and options for decision-making
• Develop baseline and ongoing outcomes, key results, metrics, and indicators
• Extract knowledge from data using various techniques including probability models, machine learning, programming, statistics, data engineering, pattern recognition, and visualization
• Apply skills in Data Analytics or as a Data Scientist to provide insights and support decision-making and strategic planning
• Focus on understanding predictive analytics and needs-based strategies to create reusable analytical models and assets for measurable value
• Help executives understand operations and data to identify new opportunities through analytics
• Transform data assets into meaningful analytics for decision-making
• Utilize statistical classification techniques such as k-means, hierarchical clustering, partition trees, and logistic regression
• Integrate quantitative and qualitative data to create business insights
• Design and develop dashboards and custom reports from various data sources
• Analyze data and prepare results
• Gather and document client requirements
• Capture metadata for analytical products
• Escalate issues and risks as needed
• Operate within a multi-vendor/staff environment

Deliverables:

• Specific deliverables and due dates to be determined collaboratively with the client team and project management
• Weekly and monthly status reports

Scoring Methodology:

• Financial/Pricing: 20%
• Resource Qualifications: 20%
• Interview Process: 60%

Must Have:

• Bachelor's degree in Computer Science or a related field; equivalencies considered
• 6+ years of experience and skills in statistical and programming languages such as R, Python, SQL
• 6+ years of experience in building analytical and quantitative models
• 6+ years of experience with data science, data engineering, and AI projects
• 6+ years of experience in preparing data for prescriptive and predictive modeling
• 6+ years of experience understanding complex business questions and framing analytical problems
• 6+ years of knowledge of various data analytics and data science techniques
• 6+ years of experience with statistical and data mining techniques addressing key business issues

Nice to Have:

• 5+ years of experience and knowledge in data sharing, data linkage, de-identification, metadata, data quality, ethics, synthetic data, and data literacy
• 5+ years of experience combining raw data across domains
• 5+ years of experience explaining complex data principles to clients
• 3+ years of designing and maintaining data pipelines and workflows
• 5+ years of experience creating visualizations, dashboards, and analytical models
• 5+ years of experience defining requirements for analytical projects
• 3+ years of experience with big data technologies (e.g., Hadoop, Spark) or cloud platforms (e.g., Azure, Snowflake)
• 3+ years of experience working with large government datasets